Blockchain – AI-Powered Learning
Innovate. Secure. Scale.
Course Objective
This stream explores how Artificial Intelligence is reshaping blockchain into smarter, more secure, and highly scalable ecosystems. Through modules on smart contracts, decentralized finance, NFTs, DAOs, supply chains, interoperability, and more, students will gain hands-on knowledge of AI’s powerful applications in blockchain. By merging technical foundations with intelligent automation, learners will be equipped to innovate rapidly, strengthen security, and build scalable solutions across industries.
Whether you’re a student, developer, entrepreneur, policy planner, or investor, this course will teach you how to design intelligent systems, optimize blockchain processes, and create impactful real-world applications using AI.
Blockchain Basics & AI Overlaps
Introduction to Smart Contracts
What it’s about:
This module introduces you to the concept of smart contracts—digital agreements that execute automatically once conditions are met. You’ll understand how they remove middlemen and ensure transparency.
What you will learn:
You’ll explore how smart contracts are created, deployed, and applied in real-world scenarios such as payments, voting, and supply chain tracking.
What the output will be:
By the end, you’ll be able to draft and test a simple smart contract that automates a basic process.
What you can do after completing it:
You can begin experimenting with building decentralized applications (dApps), understand their logic, and apply smart contracts to automate workflows.
Blockchain Basics & AI Overlaps
Building Private Blockchain Networks
What it’s about:
This module covers how private and permissioned blockchains work, focusing on secure collaboration between trusted organizations.
What you will learn:
You’ll learn the steps to design, launch, and manage a private blockchain network where only verified members can participate.
What the output will be:
You will set up a sample private blockchain environment and demonstrate controlled access for participants.
What you can do after completing it:
You’ll be able to support enterprise-level blockchain use cases like healthcare data sharing, supply chain management, or secure banking systems.
Blockchain Basics & AI Overlaps
AI Meets Blockchain
What it’s about:
This module dives into the exciting intersection of Artificial Intelligence and Blockchain, showing how the two technologies complement each other.
What you will learn:
You’ll discover how AI models can enhance blockchain efficiency (e.g., fraud detection, predictive analytics) and how blockchain secures AI datasets and results.
What the output will be:
You’ll create a simple demonstration showing AI-driven decision-making applied to blockchain data.
What you can do after completing it:
You can explore roles where blockchain ensures trust and AI brings intelligence, such as financial forecasting, identity management, or healthcare diagnostics.
Blockchain Basics & AI Overlaps
Predictive Disease Detection
What it’s about:
This module gives you a guided experience in setting up blockchain projects from scratch, breaking down each step into manageable tasks.
What you will learn:
You’ll learn how to configure a blockchain network, connect nodes, and test simple transactions while understanding the underlying processes.
What the output will be:
You’ll complete a working demo of a blockchain network capable of recording and verifying transactions.
What you can do after completing it:
You’ll have the confidence to initiate and lead basic blockchain projects, making you ready to contribute to real-world development teams.
Blockchain Basics & AI Overlaps
Stress Analysis using NDVI and AI
What it’s about:
This module introduces you to advanced blockchain ecosystems that emphasize scalability, sustainability, and inclusivity.
What you will learn:
You’ll explore how modern blockchain platforms are designed to handle faster transactions, lower energy consumption, and governance models driven by community input.
What the output will be:
You’ll analyze and document the structure of a modern blockchain platform and its unique features compared to older systems.
What you can do after completing it:
You’ll be able to evaluate emerging blockchain platforms for investment, adoption, or development purposes, positioning yourself at the forefront of innovation.
Wallets & Identity Management
Digital Wallet Fundamentals
What it’s about:
This module introduces you to digital wallets — secure applications that let you store, send, and receive digital assets. You’ll understand how they act as your gateway to the blockchain world.
What you will learn:
You’ll explore how wallets are created, how private/public keys work, and the difference between hot wallets (online) and cold wallets (offline).
What the output will be:
You’ll set up a sample wallet, learn to back it up securely, and practice basic transactions.
What you can do after completing it:
You’ll be confident in safely handling digital assets, connecting to decentralized apps, and protecting your funds with best practices.
Wallets & Identity Management
Multi-Asset Wallets and Security
What it’s about:
This module focuses on wallets that support multiple digital currencies and provide flexible ways to manage them securely in one place.
What you will learn:
You’ll discover how multi-asset wallets function, how to switch between different blockchains, and the best security features to look for.
What the output will be:
You’ll configure a wallet that manages multiple currencies and understand how to secure it against common threats.
What you can do after completing it:
You’ll be able to manage diverse digital assets efficiently, making it easier to participate in trading, investing, or decentralized ecosystems.
Wallets & Identity Management
Self-Sovereign Identity
What it’s about:
This module explores the concept of self-sovereign identity — digital identities controlled entirely by the individual, without relying on centralized authorities.
What you will learn:
You’ll understand how identity is stored on the blockchain, how credentials can be verified, and why self-ownership of identity matters in the digital era.
What the output will be:
You’ll design a simple digital identity profile that can be securely shared and verified.
What you can do after completing it:
You’ll gain the ability to manage your personal identity online with full ownership, potentially applying this knowledge in areas like healthcare, education, or digital services.
Wallets & Identity Management
Decentralized Identity Systems
What it’s about:
This module introduces decentralized identity frameworks where users authenticate themselves without sharing unnecessary personal details.
What you will learn:
You’ll learn how decentralized identifiers (DIDs) work, how authentication takes place, and how these systems prevent identity theft.
What the output will be:
You’ll create a demo profile using decentralized identifiers that can log in to apps without traditional usernames and passwords.
What you can do after completing it:
You’ll be able to advocate and apply decentralized identity solutions for privacy-first logins and secure digital onboarding processes.
Wallets & Identity Management
Identity Verification in Real-World Applications
What it’s about:
This module looks at how blockchain is transforming identity verification — from voting systems to border control, finance, and online registrations.
What you will learn:
You’ll study how blockchain identity solutions reduce fraud, enhance compliance (like KYC/AML), and streamline verification.
What the output will be:
You’ll simulate a real-world use case where a digital ID is verified quickly and securely.
What you can do after completing it:
You’ll be prepared to evaluate or even implement blockchain-based identity verification systems in government, corporate, or personal projects.
Smart Contract Creation Tools
Writing and Testing Smart Contracts
What it’s about:
This module introduces you to the environment where smart contracts are written, compiled, and tested before deployment. You’ll see how a contract comes to life from basic code.
What you will learn:
You’ll learn how to structure a smart contract, test its functionality, and debug errors in a safe environment.
What the output will be:
You’ll produce a simple, fully tested smart contract ready for deployment on a blockchain.
What you can do after completing it:
You’ll be able to draft, test, and refine your own contracts with confidence before moving them into real-world applications.
Smart Contract Creation Tools
Secure Contract Templates and Standards
What it’s about:
This module focuses on pre-built contract templates and industry-accepted standards that save time and improve security.
What you will learn:
You’ll understand the importance of reusable code, explore common patterns for tokens, voting, and governance, and learn how to apply security best practices.
What the output will be:
You’ll adapt a standardized contract to meet a specific purpose, such as creating a digital token or voting mechanism.
What you can do after completing it:
You’ll be ready to design projects faster, avoid vulnerabilities, and follow best practices used by professional developers.
Smart Contract Creation Tools
Full Development Frameworks
What it’s about:
This module walks you through end-to-end frameworks that streamline the entire process of building, testing, and deploying smart contracts.
What you will learn:
You’ll explore how project structure, compilation, automated testing, and deployment scripts all fit together in a professional workflow.
What the output will be:
You’ll set up a complete smart contract project that can be deployed to a test network with minimal effort.
What you can do after completing it:
You’ll be able to handle larger, more complex projects with confidence, mirroring how professional blockchain teams work.
Smart Contract Creation Tools
Smart Contract Development with Python
What it’s about:
This module shows how Python can be used to write and interact with smart contracts, making blockchain development accessible to those familiar with the language.
What you will learn:
You’ll learn how to structure contracts, connect to blockchain networks, and run automated tests using Python scripts.
What the output will be:
You’ll build and test a smart contract project that is fully managed using Python.
What you can do after completing it:
You’ll be able to bridge your Python skills into blockchain, opening opportunities to integrate blockchain into wider applications.
Smart Contract Creation Tools
Advanced Testing & Debugging Workflows
What it’s about:
This module dives deeper into professional-grade testing and debugging environments for smart contract development.
What you will learn:
You’ll explore advanced debugging tools, automated test setups, and how to simulate real-world blockchain conditions.
What the output will be:
You’ll complete a contract that has been stress-tested, debugged, and optimized for performance.
What you can do after completing it:
You’ll be capable of building production-ready contracts and contributing to professional blockchain projects with confidence.
AI in Smart Contract Verification
Automated Formal Verification
What it’s about:
This module introduces you to the process of verifying that a smart contract behaves exactly as intended by checking its logic against formal rules.
What you will learn:
You’ll explore how automated systems analyze contract code, detect inconsistencies, and prove correctness without relying only on manual testing.
What the output will be:
You’ll generate a verification report showing whether a contract meets defined safety and functionality rules.
What you can do after completing it:
You’ll be able to design contracts with stronger guarantees of correctness, reducing risks of financial loss or failure in decentralized applications.
AI in Smart Contract Verification
AI-Powered Vulnerability Detection
What it’s about:
This module covers how AI systems scan smart contracts for weaknesses such as re-entrancy attacks, overflow errors, and access control flaws.
What you will learn:
You’ll learn how automated vulnerability detection works, why AI models are well-suited for pattern recognition, and how to interpret risk scores.
What the output will be:
You’ll receive a vulnerability analysis highlighting weak spots in a sample contract.
What you can do after completing it:
You’ll be able to proactively identify and fix common security flaws before a contract goes live on the blockchain.
AI in Smart Contract Verification
Security Audits with Automated Reasoning
What it’s about:
This module explains how automated reasoning engines simulate contract execution under different conditions to uncover hidden security issues.
What you will learn:
You’ll understand how AI models explore multiple execution paths, detect anomalies, and validate security compliance.
What the output will be:
You’ll produce an audit summary that demonstrates whether a contract passes or fails under various simulated scenarios.
What you can do after completing it:
You’ll be able to use automated reasoning to enhance your security review process, making your audits more thorough and reliable
AI in Smart Contract Verification
Static Analysis with AI Insights
What it’s about:
This module focuses on analyzing contract code without running it, using AI-powered static analysis to detect structural flaws and inefficiencies.
What you will learn:
You’ll learn how static analysis tools read contract code, highlight problematic areas, and suggest improvements in logic and style.
What the output will be:
You’ll generate a static analysis report that points out potential issues in the code structure.
What you can do after completing it:
You’ll be able to write cleaner, more efficient smart contracts with fewer hidden bugs and performance issues.
AI in Smart Contract Verification
Intelligent Pattern-Based Scanning
What it’s about:
This module introduces automated scanning systems that compare your smart contract against libraries of known risky patterns.
What you will learn:
You’ll discover how AI models identify suspicious code patterns, flag dangerous practices, and recommend safer alternatives.
What the output will be:
You’ll create a flagged report showing which parts of a contract match known vulnerabilities.
What you can do after completing it:
You’ll be able to quickly assess the safety of contracts, making you more effective in audits, compliance checks, and risk management.
NFT Creation & Marketplaces
Introduction to NFTs and Digital Ownership
What it’s about:
This module introduces you to Non-Fungible Tokens (NFTs) — unique digital assets that represent art, collectibles, music, and more on the blockchain.
What you will learn:
You’ll learn how NFTs differ from cryptocurrencies, how ownership is verified, and why they are revolutionizing digital creativity.
What the output will be:
You’ll design and mint your very first NFT, attaching it to a piece of digital content.
What you can do after completing it:
You’ll understand how to create and showcase NFTs confidently, opening doors to the digital art and collectibles economy.
NFT Creation & Marketplaces
Building and Customizing NFT Collections
What it’s about:
This module explains how NFT collections are structured, from single pieces to large generative series with unique traits.
What you will learn:
You’ll learn how metadata, rarity, and traits add value, and how collections are set up on blockchain systems.
What the output will be:
You’ll create a small themed NFT collection with unique attributes for each item.
What you can do after completing it:
You’ll be able to launch NFT series that attract collectors, storytellers, and communities around your creations.
NFT Creation & Marketplaces
User-Friendly NFT Minting Platforms
What it’s about:
This module focuses on beginner-friendly platforms that allow creators to mint NFTs without advanced technical skills.
What you will learn:
You’ll explore the step-by-step process of uploading art, adding descriptions, setting royalties, and minting tokens.
What the output will be:
You’ll mint and list a polished NFT for sale in a live marketplace environment.
What you can do after completing it:
You’ll be able to showcase your work globally, experiment with creative ideas, and begin building an audience.
NFT Creation & Marketplaces
Advanced NFT Utility and Functionality
What it’s about:
This module highlights how NFTs are more than just images — they can unlock experiences, memberships, and even financial tools.
What you will learn:
You’ll learn about NFTs with built-in utility such as ticketing, gaming assets, or community access passes.
What the output will be:
You’ll design a concept NFT that includes both creative and functional elements.
What you can do after completing it:
You’ll be able to create NFTs that go beyond art, offering real-world value and engagement for buyers.
NFT Creation & Marketplaces
Curated Marketplaces and Premium Drops
What it’s about:
This module explores exclusive NFT marketplaces that focus on high-quality art, curated collections, and premium launches.
What you will learn:
You’ll understand how curated platforms operate, how artists are selected, and why scarcity and exclusivity play a key role.
What the output will be:
You’ll prepare a professional NFT proposal suitable for a curated marketplace submission.
What you can do after completing it:
You’ll be able to position yourself as a serious NFT creator, tapping into premium audiences and building long-term value.
AI-Based Crypto Trading Tools
Automated Trading Bots
What it’s about:
This module introduces the concept of automated trading — systems that execute buy and sell orders on your behalf using pre-defined rules.
What you will learn:
You’ll understand how bots track market movements, set triggers, and carry out trades with speed and accuracy.
What the output will be:
You’ll set up a demo trading bot that simulates trades based on simple strategies.
What you can do after completing it:
You’ll be able to design, test, and refine your own automated trading systems to reduce emotional decision-making and improve consistency.
AI-Based Crypto Trading Tools
Strategy Building with AI Insights
What it’s about:
This module focuses on how AI can analyze huge amounts of market data and help create trading strategies tailored to your risk level.
What you will learn:
You’ll learn about backtesting, risk-reward ratios, and how AI identifies patterns in price charts that humans often miss.
What the output will be:
You’ll build and test a simple AI-driven strategy to see how it performs under different market conditions.
What you can do after completing it:
You’ll be able to create smarter strategies that are data-driven, reducing guesswork in trading decisions.
AI-Based Crypto Trading Tools
Open-Source Trading Frameworks
What it’s about:
This module introduces open-source environments where you can customize trading logic and run experiments.
What you will learn:
You’ll explore how to modify parameters, integrate AI models, and run algorithmic trading simulations.
What the output will be:
You’ll set up a sample project that executes trades based on custom rules.
What you can do after completing it:
You’ll gain the ability to adapt trading frameworks for personal or professional use, experimenting with strategies that suit your goals.
AI-Based Crypto Trading Tools
Data-Driven Trading Analytics
What it’s about:
This module dives into platforms that combine AI with financial analytics to provide deep insights for traders.
What you will learn:
You’ll study how AI processes historical and real-time data to generate signals, detect anomalies, and predict possible outcomes.
What the output will be:
You’ll create a dashboard that visualizes trading insights, highlighting signals and risk levels.
What you can do after completing it:
You’ll be able to monitor markets intelligently, applying AI-based insights to fine-tune your strategies.
AI-Based Crypto Trading Tools
AI-Powered Portfolio Management
What it’s about:
This module shows how AI helps balance a portfolio by diversifying investments, managing risks, and rebalancing automatically.
What you will learn:
You’ll learn how AI tools recommend portfolio allocations, rebalance assets, and adapt to changing markets.
What the output will be:
You’ll set up a simulated portfolio and watch how AI automatically adjusts it to maximize performance while minimizing risk.
What you can do after completing it:
You’ll be able to apply intelligent portfolio management in real life, making informed decisions and reducing losses in volatile markets.
Blockchain Analytics & AI
Blockchain Transaction Tracking
What it’s about:
This module explores how blockchain data can be traced to monitor transactions, detect suspicious activity, and ensure compliance.
What you will learn:
You’ll learn how transaction flows are tracked, how wallets can be linked, and how AI helps detect fraud or money laundering patterns.
What the output will be:
You’ll produce a transaction analysis report showing movement of funds across multiple wallets.
What you can do after completing it:
You’ll be able to interpret blockchain transactions for auditing, compliance, or investigative purposes.
Blockchain Analytics & AI
Market Intelligence and Wallet Behavior
What it’s about:
This module dives into how blockchain analytics provide insights into investor activity, token flows, and whale movements.
What you will learn:
You’ll understand how AI identifies wallet clusters, tracks large holders, and predicts possible market shifts.
What the output will be:
You’ll generate a behavioral map of wallets showing trends like accumulation, selling, or holding patterns.
What you can do after completing it:
You’ll be able to anticipate market moves, making more informed trading and investment decisions.
Blockchain Analytics & AI
On-Chain Metrics and Network Health
What it’s about:
This module examines metrics like active addresses, transaction volume, and miner behavior to measure blockchain health.
What you will learn:
You’ll learn how AI interprets on-chain data to highlight growth trends, adoption rates, and potential risks.
What the output will be:
You’ll create a set of visualized on-chain charts that summarize the performance of a blockchain network.
What you can do after completing it:
You’ll be able to use on-chain analytics to evaluate blockchain projects before investing or building on them.
Blockchain Analytics & AI
Custom Dashboards and Data Visualization
What it’s about:
This module focuses on building custom dashboards to visualize blockchain activity and trends using user-friendly query systems.
What you will learn:
You’ll explore how to query blockchain data, create charts, and use AI to highlight anomalies and patterns.
What the output will be:
You’ll design an interactive dashboard showing live blockchain metrics.
What you can do after completing it:
You’ll be able to turn raw blockchain data into meaningful insights for reports, research, or business intelligence.
Blockchain Analytics & AI
Predictive Analytics for Blockchain
What it’s about:
This module shows how AI models are used to predict price trends, risk levels, and adoption patterns based on blockchain data.
What you will learn:
You’ll learn about predictive modeling, sentiment analysis, and trend forecasting in crypto markets.
What the output will be:
You’ll create a simple prediction model that forecasts possible market trends based on on-chain indicators.
What you can do after completing it:
You’ll be able to apply predictive analytics to guide investment strategies, policy planning, or business development in blockchain ecosystems.
Decentralized Finance (DeFi) Tools
Decentralized Lending and Borrowing
What it’s about:
This module introduces how users can lend and borrow digital assets without banks or intermediaries, using blockchain-based protocols.
What you will learn:
You’ll understand how collateralized loans work, how interest rates are determined, and how AI helps assess risk.
What the output will be:
You’ll simulate borrowing and lending transactions to see how assets are locked and interest is earned.
What you can do after completing it:
You’ll be able to engage with decentralized lending platforms for passive income or access to liquidity
Decentralized Finance (DeFi) Tools
Algorithmic Interest and Yield Models
What it’s about:
This module focuses on how decentralized protocols set interest rates automatically based on supply and demand.
What you will learn:
You’ll explore dynamic rate models, utilization ratios, and how AI can predict optimal lending/borrowing strategies.
What the output will be:
You’ll build a simple model that adjusts interest rates as supply and demand shift.
What you can do after completing it:
You’ll be able to evaluate which lending pools are most profitable and understand how interest fluctuations impact returns.
Decentralized Finance (DeFi) Tools
Yield Aggregation and Optimization
What it’s about:
This module covers yield farming — the process of automatically moving funds between different DeFi platforms to maximize returns.
What you will learn:
You’ll learn how AI-driven strategies scan opportunities, rebalance portfolios, and compound rewards.
What the output will be:
You’ll simulate a yield strategy that reallocates assets across multiple pools for better returns.
What you can do after completing it:
You’ll be able to apply optimization strategies for passive income generation in DeFi ecosystems.
Decentralized Finance (DeFi) Tools
Liquidity Pools and Asset Balancing
What it’s about:
This module explores how liquidity pools work — where users provide tokens for trading pairs and earn fees in return.
What you will learn:
You’ll understand concepts like automated market makers, impermanent loss, and portfolio balancing.
What the output will be:
You’ll create a test liquidity pool and watch how assets rebalance when trades occur.
What you can do after completing it:
You’ll be able to participate as a liquidity provider, earn fees, and manage risks in DeFi marketplaces.
Decentralized Finance (DeFi) Tools
Decentralized Exchanges and Swapping
What it’s about:
This module explains decentralized exchanges (DEXs) where users can swap tokens instantly without middlemen.
What you will learn:
You’ll study how token swaps are priced, how liquidity supports trading, and how AI can optimize trade execution.
What the output will be:
You’ll execute a demo token swap and analyze how the system sets prices automatically.
What you can do after completing it:
You’ll be able to trade tokens securely on decentralized platforms, gaining independence from traditional exchanges.
AI for Blockchain Security
Automated Smart Contract Auditing
What it’s about:
This module introduces how AI assists in auditing smart contracts by detecting coding flaws, vulnerabilities, and compliance gaps.
What you will learn:
You’ll understand how audits verify contract safety, how AI improves detection speed, and how automated checks reduce human error.
What the output will be:
You’ll generate a sample audit report that highlights potential risks in a smart contract.
What you can do after completing it:
You’ll be able to review contracts for safety and ensure higher reliability before deployment.
AI for Blockchain Security
Continuous Monitoring and Defense
What it’s about:
This module explains how real-time monitoring systems safeguard blockchain applications against attacks and exploits.
What you will learn:
You’ll study how AI-driven alerts detect suspicious activity, prevent breaches, and automatically trigger protective measures.
What the output will be:
You’ll create a simulated monitoring setup that identifies and responds to unusual contract activity.
What you can do after completing it:
You’ll be able to maintain live defenses for blockchain apps, minimizing downtime and preventing loss.
AI for Blockchain Security
Transaction Risk and Compliance Analysis
What it’s about:
This module explores how AI helps detect fraud, money laundering, and other illicit activities on blockchain networks.
What you will learn:
You’ll learn how risk scoring, transaction tracing, and compliance frameworks like KYC/AML are applied in blockchain.
What the output will be:
You’ll prepare a risk assessment report analyzing suspicious blockchain transactions.
What you can do after completing it:
You’ll be able to support compliance teams, enhance transparency, and reduce financial crime risks.
AI for Blockchain Security
Threat Intelligence and Incident Response
What it’s about:
This module looks at how AI gathers threat intelligence to prepare systems against hacks and orchestrates responses when incidents occur.
What you will learn:
You’ll explore how blockchain security teams use AI to spot attack patterns, patch vulnerabilities, and recover from exploits.
What the output will be:
You’ll document an incident response plan showing how a simulated blockchain attack is detected and contained.
What you can do after completing it:
You’ll be able to contribute to cybersecurity defense strategies in blockchain projects or organizations.
AI for Blockchain Security
Advanced Attack Detection and Prevention
What it’s about:
This module focuses on how AI identifies sophisticated threats like flash loan attacks, phishing scams, and cross-chain exploits.
What you will learn:
You’ll discover how anomaly detection, predictive modeling, and behavioral analysis secure blockchain ecosystems.
What the output will be:
You’ll generate an advanced detection report that flags unusual activity with high accuracy.
What you can do after completing it:
You’ll be able to apply advanced defense mechanisms in DeFi, NFTs, and enterprise blockchain environments, ensuring long-term trust and safety.
Blockchain Data APIs & AI
Unified Blockchain Data Access
What it’s about:
This module introduces blockchain APIs that bring together data from multiple chains in one place, simplifying access for developers and analysts.
What you will learn:
You’ll explore how APIs fetch data like balances, transactions, and token info, and how AI can organize it for deeper insights.
What the output will be:
You’ll generate a unified dataset showing wallet activity across different blockchains.
What you can do after completing it:
You’ll be able to integrate blockchain data into apps, dashboards, or reports without manually processing multiple sources.
Blockchain Data APIs & AI
Querying Blockchain with AI Assistance
What it’s about:
This module covers how decentralized query systems make blockchain data searchable, enabling anyone to pull complex insights with ease.
What you will learn:
You’ll learn how queries work, how AI simplifies data interpretation, and how to create custom analytics from blockchain records.
What the output will be:
You’ll design a query that visualizes token transfers, trading volumes, or user activity on a blockchain.
What you can do after completing it:
You’ll be able to build your own blockchain data dashboards, research reports, and insights for projects or businesses.
Blockchain Data APIs & AI
Developer-Friendly Blockchain Infrastructure
What it’s about:
This module explains how modern APIs provide the infrastructure for building blockchain apps, from simple wallets to large-scale DeFi platforms.
What you will learn:
You’ll understand how APIs give access to nodes, handle requests efficiently, and integrate AI-driven monitoring.
What the output will be:
You’ll create a working app demo that pulls live blockchain data using an API.
What you can do after completing it:
You’ll be able to start building blockchain-powered applications without running your own servers or networks.
Blockchain Data APIs & AI
Advanced Data Analytics for Blockchain
What it’s about:
This module dives into APIs that provide enriched blockchain datasets — from token flows to liquidity tracking and real-time market signals.
What you will learn:
You’ll explore how AI enhances raw data, detects anomalies, and highlights trends across chains.
What the output will be:
You’ll prepare a detailed analytics report combining blockchain data with AI-based insights.
What you can do after completing it:
You’ll be able to conduct advanced analytics for trading, compliance, or blockchain research.
Blockchain Data APIs & AI
Community-Powered Data Insights
What it’s about:
This module introduces platforms where communities collaborate to analyze and share blockchain insights, powered by open data and AI.
What you will learn:
You’ll discover how shared queries, datasets, and AI models accelerate learning and transparency in crypto ecosystems.
What the output will be:
You’ll create and share a data project that highlights blockchain adoption or token performance trends.
What you can do after completing it:
You’ll be able to collaborate with global communities, contribute insights, and establish yourself as a thought leader in blockchain analytics.
Decentralized Storage Solutions
Distributed File Sharing Fundamentals
What it’s about:
This module introduces peer-to-peer file storage where data is broken into pieces, stored across many nodes, and retrieved without central servers.
What you will learn:
You’ll understand how decentralized storage ensures redundancy, faster access, and censorship resistance.
What the output will be:
You’ll upload and retrieve a sample file using a distributed storage system.
What you can do after completing it:
You’ll be able to store and share files securely across decentralized networks, reducing dependence on centralized cloud providers.
Decentralized Storage Solutions
Permanent Data Storage
What it’s about:
This module explores permanent storage solutions where data, once uploaded, remains available forever with built-in incentives for long-term preservation.
What you will learn:
You’ll learn how blockchains can archive information immutably, ensuring knowledge and digital assets are never lost.
What the output will be:
You’ll create a permanent record of a digital file, ensuring it remains verifiable and tamper-proof.
What you can do after completing it:
You’ll be able to preserve digital art, academic research, and historical archives for future generations.
Decentralized Storage Solutions
Blockchain-Powered Cloud Storage
What it’s about:
This module examines blockchain networks designed for cloud-scale file hosting with incentivized participation by storage providers.
What you will learn:
You’ll study how tokens are used to pay for storage, verify file integrity, and incentivize reliable providers.
What the output will be:
You’ll simulate renting decentralized cloud space for storing larger files.
What you can do after completing it:
You’ll be able to evaluate and use decentralized alternatives to traditional cloud systems for personal or enterprise needs.
Decentralized Storage Solutions
Encrypted and Secure File Hosting
What it’s about:
This module focuses on privacy-first storage solutions where files are encrypted end-to-end and distributed across nodes.
What you will learn:
You’ll learn how encryption, redundancy, and decentralization combine to protect sensitive files.
What the output will be:
You’ll configure and test encrypted file storage that can be accessed only by the rightful owner.
What you can do after completing it:
You’ll be able to secure personal data, confidential documents, and enterprise records against breaches and censorship.
Decentralized Storage Solutions
Affordable Peer-to-Peer File Storage
What it’s about:
This module introduces community-driven storage systems where unused hard drive space is pooled together and rented at low cost.
What you will learn:
You’ll understand how peer-to-peer economics lower storage costs while maintaining decentralization.
What the output will be:
You’ll set up a demo to rent out or use community-based storage space.
What you can do after completing it:
You’ll be able to leverage low-cost storage solutions for backups, media libraries, or collaborative projects.
AI for Blockchain Supply Chain
Product Provenance and Traceability
What it’s about:
This module explores how blockchain records every step of a product’s journey — from raw material to final delivery — ensuring authenticity and transparency.
What you will learn:
You’ll understand how AI enhances tracking by detecting anomalies, predicting delays, and ensuring product quality.
What the output will be:
You’ll create a sample digital record tracing a product’s movement through a supply chain.
What you can do after completing it:
You’ll be able to apply blockchain-led tracking systems in industries like food, fashion, or pharmaceuticals to improve trust.
AI for Blockchain Supply Chain
Knowledge Graphs for Supply Chain Data
What it’s about:
This module introduces decentralized knowledge graphs that organize supply chain data across multiple participants for easy access and validation.
What you will learn:
You’ll study how AI connects fragmented data points into a unified view, making supply chains more transparent and efficient.
What the output will be:
You’ll build a simple knowledge graph that maps product flows between different actors in a chain.
What you can do after completing it:
You’ll be able to use data-driven insights for decision-making, risk detection, and supplier evaluation
AI for Blockchain Supply Chain
IoT and Blockchain Integration
What it’s about:
This module shows how IoT sensors and blockchain combine to verify product conditions like temperature, humidity, and handling in real time.
What you will learn:
You’ll learn how AI interprets sensor data, flags violations, and ensures compliance with safety standards.
What the output will be:
You’ll simulate an IoT-enabled blockchain record showing environmental conditions during transport.
What you can do after completing it:
You’ll be able to implement smart logistics systems for industries requiring strict monitoring, such as healthcare or luxury goods.
AI for Blockchain Supply Chain
Supply Chain Authenticity and Anti-Counterfeiting
What it’s about:
This module covers how blockchain validates the originality of goods, preventing counterfeit products from entering markets.
What you will learn:
You’ll explore how AI detects irregular patterns in supply chain data, signaling possible fraud or tampering.
What the output will be:
You’ll produce a demo report verifying product authenticity across multiple checkpoints.
What you can do after completing it:
You’ll be able to deploy blockchain-backed authenticity systems in global supply chains, reducing losses and protecting consumers
AI for Blockchain Supply Chain
Food Safety and Compliance Tracking
What it’s about:
This module focuses on how blockchain records every stage of food production and delivery to ensure quality, freshness, and regulatory compliance.
What you will learn:
You’ll understand how AI-powered analysis detects risks, predicts spoilage, and improves efficiency in food logistics.
What the output will be:
You’ll generate a compliance record that documents the full lifecycle of a food product.
What you can do after completing it:
You’ll be able to apply blockchain + AI solutions to enhance food safety, meet regulations, and build consumer trust.
Tokenomics & AI Modeling
Smart Token Behavior and Utility
What it’s about:
This module introduces programmable tokens that carry rules and functions, enabling more complex interactions beyond simple transfers.
What you will learn:
You’ll explore how token logic defines usage, access rights, or governance participation, and how AI models simulate different use cases.
What the output will be:
You’ll design a simple programmable token structure that includes utility functions.
What you can do after completing it:
You’ll be able to plan tokens that serve as more than currency — enabling ecosystems for apps, games, or services.
Tokenomics & AI Modeling
Stablecoin and Balanced Token Models
What it’s about:
This module covers tokens designed to remain stable or balanced in value using algorithms, collateral, or hybrid mechanisms.
What you will learn:
You’ll understand how AI helps simulate economic conditions to maintain stability and reduce volatility.
What the output will be:
You’ll create a sample stability model that reacts to changes in supply and demand.
What you can do after completing it:
You’ll be able to analyze or design token systems for payments, savings, or decentralized finance that prioritize stability
Tokenomics & AI Modeling
Token Flow and Market Analytics
What it’s about:
This module explores how transaction data, liquidity, and supply metrics reveal the health and activity of tokens.
What you will learn:
You’ll learn how AI uncovers hidden patterns in token flows, such as accumulation, sell pressure, or exchange trends.
What the output will be:
You’ll generate a token flow analysis report visualizing buying, selling, and holding behaviors.
What you can do after completing it:
You’ll be able to interpret market dynamics and predict token performance for investing, auditing, or project analysis
Tokenomics & AI Modeling
Financial Modeling of Tokens
What it’s about:
This module focuses on evaluating tokens like traditional financial assets using revenue, network activity, and user adoption metrics.
What you will learn:
You’ll discover how AI-enhanced models forecast growth, calculate fair value, and compare token performance.
What the output will be:
You’ll create a financial model projecting token value based on adoption and revenue assumptions.
What you can do after completing it:
You’ll be able to assess token projects more critically, identifying sustainable designs and avoiding risky ones.
Tokenomics & AI Modeling
Research and Intelligence Platforms
What it’s about:
This module highlights platforms that provide research reports, data insights, and market intelligence for tokens and blockchain projects.
What you will learn:
You’ll study how AI enriches research by aggregating data, spotting trends, and ranking projects by fundamentals.
What the output will be:
You’ll prepare a research brief summarizing the key metrics and insights for a chosen token project.
What you can do after completing it:
You’ll be able to use AI-powered intelligence for investment strategies, policymaking, or academic research in tokenomics.
Layer 2 & Scaling AI Tools
Sidechains and Faster Transactions
What it’s about:
This module explores how sidechains reduce congestion on the main blockchain by processing transactions separately and then anchoring them securely.
What you will learn:
You’ll understand how sidechains improve transaction speed, lower fees, and support decentralized apps at scale.
What the output will be:
You’ll simulate sending a transaction through a sidechain and compare its efficiency with a main chain.
What you can do after completing it:
You’ll be able to choose and implement sidechains for projects needing faster and more affordable transactions.
Layer 2 & Scaling AI Tools
Optimistic Rollups for Scaling
What it’s about:
This module introduces optimistic rollups, which bundle many transactions off-chain and verify them on-chain for efficiency.
What you will learn:
You’ll learn how AI helps validate fraud-proof mechanisms and ensures the correctness of bundled transactions.
What the output will be:
You’ll process a batch of transactions and see how rollups save cost and increase throughput.
What you can do after completing it:
You’ll be able to integrate optimistic rollup solutions into applications, making them cheaper and more scalable.
Layer 2 & Scaling AI Tools
Layer 2 Rollup Ecosystems
What it’s about:
This module focuses on advanced rollup ecosystems that combine speed, compatibility, and developer support for large-scale adoption.
What you will learn:
You’ll discover how AI monitors ecosystem growth, user adoption, and contract deployments to optimize scaling.
What the output will be:
You’ll map an ecosystem of decentralized apps running on a rollup-based Layer 2 network.
What you can do after completing it:
You’ll be able to assess which rollup ecosystems best fit enterprise, DeFi, or consumer blockchain projects
Layer 2 & Scaling AI Tools
Zero-Knowledge Proof Scaling
What it’s about:
This module explains how zero-knowledge (ZK) rollups use cryptographic proofs to verify transactions efficiently and privately.
What you will learn:
You’ll understand how AI optimizes proof generation, reduces computational costs, and strengthens privacy.
What the output will be:
You’ll generate a simple ZK proof that verifies a transaction without revealing sensitive details.
What you can do after completing it:
You’ll be able to apply ZK-based scaling in applications where privacy and high throughput are critical
Layer 2 & Scaling AI Tools
Advanced Cryptographic Scaling Solutions
What it’s about:
This module introduces cutting-edge scaling projects that use advanced cryptography to handle thousands of transactions per second.
What you will learn:
You’ll explore how AI supports these systems by predicting network congestion, balancing loads, and securing transactions.
What the output will be:
You’ll build a test scenario comparing transaction efficiency between a base blockchain and a cryptography-enhanced scaling layer.
What you can do after completing it:
You’ll be able to design blockchain solutions that are enterprise-ready, supporting gaming, DeFi, and global-scale apps.
DAO & Governance Platforms
Foundations of Decentralized Governance
What it’s about:
This module introduces Decentralized Autonomous Organizations (DAOs) — community-led groups that operate on rules encoded in smart contracts instead of centralized leadership.
What you will learn:
You’ll understand how governance tokens, voting systems, and proposals drive decision-making in DAOs.
What the output will be:
You’ll draft and submit a mock governance proposal within a simulated DAO environment.
What you can do after completing it:
You’ll be able to participate in DAO governance, vote on proposals, and influence decentralized communities.
DAO & Governance Platforms
Collaborative Decision-Making Frameworks
What it’s about:
This module focuses on frameworks that allow communities to collaborate, manage resources, and scale governance structures.
What you will learn:
You’ll explore how AI can analyze proposal data, detect biases, and recommend improvements for fairer outcomes.
What the output will be:
You’ll create a collaborative decision-making flow for a sample project.
What you can do after completing it:
You’ll be able to apply structured governance models in startups, communities, and blockchain ecosystems.
DAO & Governance Platforms
Decentralized Team and Project Management
What it’s about:
This module highlights how DAOs organize teams, allocate budgets, and manage projects without a central authority.
What you will learn:
You’ll learn how AI supports decentralized task allocation, tracks progress, and enhances team productivity.
What the output will be:
You’ll design a mock project management workflow inside a DAO.
What you can do after completing it:
You’ll be able to run decentralized projects, assign tasks, and reward contributors transparently.
DAO & Governance Platforms
Minimalist DAOs and Community Funding
What it’s about:
This module explains lean DAO models built for focused goals like funding initiatives, research, or social projects.
What you will learn:
You’ll understand how pooled resources are managed, how AI detects fraud, and how voting systems prevent misuse of funds.
What the output will be:
You’ll simulate creating a community treasury and allocating resources to a selected initiative.
What you can do after completing it:
You’ll be able to launch or participate in small-scale DAOs that fund community-driven ideas.
DAO & Governance Platforms
Off-Chain Voting and Lightweight Governance
What it’s about:
This module introduces off-chain voting platforms that simplify decision-making while keeping blockchain records for transparency.
What you will learn:
You’ll learn how AI improves voter participation, detects sybil attacks, and ensures results reflect community consensus.
What the output will be:
You’ll conduct a sample off-chain vote and record its outcome on a blockchain ledger.
What you can do after completing it:
You’ll be able to use off-chain voting for community engagement, reducing costs while maintaining trust in results.
AI-Driven Blockchain DevOps
Scalable Node Infrastructure
What it’s about:
This module introduces managed blockchain infrastructure that allows developers to connect to networks without running their own nodes.
What you will learn:
You’ll understand how AI optimizes node performance, balances network load, and predicts demand for smoother operations.
What the output will be:
You’ll configure a simulated blockchain connection using managed infrastructure.
What you can do after completing it:
You’ll be able to deploy blockchain apps faster without worrying about server maintenance or uptime
AI-Driven Blockchain DevOps
High-Performance Blockchain Access
What it’s about:
This module focuses on platforms that offer fast and reliable blockchain data access with developer-friendly APIs.
What you will learn:
You’ll learn how AI enhances data delivery, prevents bottlenecks, and improves response times for dApps.
What the output will be:
You’ll build a small project that fetches live blockchain data with optimized queries.
What you can do after completing it:
You’ll be able to power high-performance decentralized apps with reliable backend infrastructure
AI-Driven Blockchain DevOps
Developer Tools for Smart Contract Lifecycle
What it’s about:
This module covers end-to-end developer toolkits for writing, deploying, and managing smart contracts.
What you will learn:
You’ll explore how AI supports debugging, error detection, and contract optimization during development.
What the output will be:
You’ll complete a smart contract deployment flow from coding to launch.
What you can do after completing it:
You’ll be able to streamline smart contract development for personal projects or enterprise-level apps
AI-Driven Blockchain DevOps
Real-Time Monitoring & Debugging
What it’s about:
This module explains how advanced monitoring platforms track contract behavior, network performance, and errors in real time.
What you will learn:
You’ll study how AI-driven dashboards detect anomalies, simulate contract calls, and alert developers instantly.
What the output will be:
You’ll generate a monitoring dashboard report highlighting contract execution details.
What you can do after completing it:
You’ll be able to monitor blockchain applications proactively, ensuring stability and security
AI-Driven Blockchain DevOps
Multi-Chain Deployment and Management
What it’s about:
This module highlights solutions for deploying apps across multiple blockchains, making them more scalable and interoperable.
What you will learn:
You’ll learn how AI helps optimize deployment choices, monitor multi-chain activity, and prevent cross-network issues.
What the output will be:
You’ll set up a test deployment of an app across more than one blockchain.
What you can do after completing it:
You’ll be able to design cross-chain apps, reduce downtime, and ensure smoother scaling for global users
Privacy and AI on Blockchain
Zero-Knowledge Proofs for Privacy
What it’s about:
This module introduces privacy-preserving technologies that allow transactions to be verified without revealing sensitive details.
What you will learn:
You’ll study how zero-knowledge proofs (ZKPs) work, and how AI improves efficiency by optimizing proof generation.
What the output will be:
You’ll generate a simple privacy-enabled transaction using ZKP concepts.
What you can do after completing it:
You’ll be able to apply zero-knowledge techniques in areas requiring confidential but verifiable interactions, such as finance or healthcare
Privacy and AI on Blockchain
Confidential Marketplaces
What it’s about:
This module explores privacy-first marketplaces where transactions and listings remain confidential while still leveraging blockchain trust.
What you will learn:
You’ll understand how AI enhances secure trading by analyzing patterns without exposing private information.
What the output will be:
You’ll simulate a confidential marketplace transaction using anonymized data.
What you can do after completing it:
You’ll be able to design or participate in privacy-protecting markets for e-commerce, digital goods, or services.
Privacy and AI on Blockchain
Shielded Transactions and Privacy Coins
What it’s about:
This module covers privacy-focused cryptocurrencies that hide transaction details like sender, receiver, and amount.
What you will learn:
You’ll learn how shielded transactions work, why they matter, and how AI helps detect anomalies without compromising user privacy.
What the output will be:
You’ll create a demo report comparing transparent vs shielded transactions.
What you can do after completing it:
You’ll be able to evaluate privacy coins and integrate them responsibly into secure financial workflows.
Privacy and AI on Blockchain
Ring Signatures and Transaction Obfuscation
What it’s about:
This module introduces cryptographic techniques like ring signatures that make it difficult to trace transactions back to individuals.
What you will learn:
You’ll study how AI identifies potential misuse while maintaining anonymity for genuine users.
What the output will be:
You’ll generate a sample obfuscated transaction showing how anonymity is preserved.
What you can do after completing it:
You’ll be able to analyze privacy systems, distinguishing between legitimate use cases and potential risks.
Privacy and AI on Blockchain
Privacy-Preserving Data Computation
What it’s about:
This module explores how sensitive data can be analyzed securely using blockchain and AI without exposing raw information.
What you will learn:
You’ll learn how secure enclaves, homomorphic encryption, and AI-powered computation ensure both privacy and usability.
What the output will be:
You’ll simulate a privacy-preserving AI model running on blockchain-protected data.
What you can do after completing it:
You’ll be able to apply privacy-preserving analytics in industries like healthcare, government, and enterprise data management
AI in Cross-Chain and Interop
Multi-Chain Network Foundations
What it’s about:
This module introduces networks built to connect multiple blockchains, allowing them to share data and assets.
What you will learn:
You’ll understand how interoperability bridges work, how governance is coordinated across chains, and how AI predicts cross-chain traffic patterns.
What the output will be:
You’ll design a demo model showing how two separate blockchains exchange information.
What you can do after completing it:
You’ll be able to evaluate and design multi-chain systems that improve scalability and collaboration across blockchain ecosystems.
AI in Cross-Chain and Interop
Blockchain Hubs and Ecosystem Connectivity
What it’s about:
This module focuses on hub-and-zone models where one blockchain acts as a central hub to connect multiple independent chains.
What you will learn:
You’ll explore how AI optimizes routing between zones, reduces congestion, and ensures smooth interoperability.
What the output will be:
You’ll create a visual map of a hub-based ecosystem showing connections between blockchains.
What you can do after completing it:
You’ll be able to plan scalable ecosystems that integrate diverse blockchains into one interoperable network
AI in Cross-Chain and Interop
Decentralized Oracle Networks
What it’s about:
This module explains how oracle systems bring off-chain data (like weather, prices, or sports scores) into blockchains securely.
What you will learn:
You’ll discover how AI validates data feeds, filters unreliable sources, and improves accuracy for smart contracts.
What the output will be:
You’ll build a demo use case where a smart contract executes based on external data.
What you can do after completing it:
You’ll be able to design smart contracts that interact with real-world data, expanding blockchain’s use cases.
AI in Cross-Chain and Interop
Cross-Chain Asset Transfers
What it’s about:
This module covers how digital assets like tokens or stablecoins move seamlessly between different blockchains.
What you will learn:
You’ll study how AI monitors liquidity pools, detects irregular transfers, and predicts bottlenecks in asset bridges.
What the output will be:
You’ll simulate a cross-chain transfer of tokens and track how assets flow between blockchains.
What you can do after completing it:
You’ll be able to apply cross-chain liquidity solutions in DeFi, trading, or payment systems.
AI in Cross-Chain and Interop
Liquidity Networks and Cross-Chain Swaps
What it’s about:
This module explores decentralized liquidity networks that allow instant token swaps across blockchains without intermediaries.
What you will learn:
You’ll learn how AI optimizes swap routes, minimizes slippage, and ensures better prices for users.
What the output will be:
You’ll set up a demo showing how a cross-chain token swap executes.
What you can do after completing it:
You’ll be able to design or participate in decentralized exchanges that connect multiple blockchains seamlessly.
Blockchain & AI for IoT
Machine-to-Machine Transactions
What it’s about:
This module explores how IoT devices can communicate and trade value autonomously using blockchain-based microtransactions.
What you will learn:
You’ll understand how AI predicts device needs, optimizes transaction frequency, and prevents network overload.
What the output will be:
You’ll simulate a machine-to-machine payment between IoT devices, such as a smart car paying a charging station.
What you can do after completing it:
You’ll be able to design automated systems where devices exchange data and services seamlessly
Blockchain & AI for IoT
Decentralized Wireless Networks
What it’s about:
This module introduces decentralized IoT connectivity, where community-powered devices provide wireless coverage in exchange for incentives.
What you will learn:
You’ll study how AI manages network demand, predicts device coverage needs, and detects connectivity failures.
What the output will be:
You’ll build a simple model showing how IoT devices share a decentralized wireless network.
What you can do after completing it:
You’ll be able to explore or create decentralized IoT networks that reduce costs and improve access in smart cities.
Blockchain & AI for IoT
Supply Chain IoT Integration
What it’s about:
This module highlights how blockchain and IoT sensors work together to track goods in real time across global supply chains.
What you will learn:
You’ll explore how AI interprets sensor data (temperature, humidity, handling) and flags anomalies automatically.
What the output will be:
You’ll generate a demo record showing how IoT sensors log data to a blockchain during product transport.
What you can do after completing it:
You’ll be able to design IoT-driven blockchain solutions for industries like food, logistics, and pharmaceuticals.
Blockchain & AI for IoT
Smart Device Authentication and Security
What it’s about:
This module examines how blockchain secures IoT devices against hacking by providing immutable identity and authentication.
What you will learn:
You’ll learn how AI detects unusual device behavior, predicts attacks, and strengthens device security.
What the output will be:
You’ll simulate registering IoT devices with blockchain-based authentication.
What you can do after completing it:
You’ll be able to apply blockchain for IoT device security, reducing risks in critical environments like healthcare or manufacturing.
Blockchain & AI for IoT
IoT Data Marketplaces
What it’s about:
This module introduces decentralized platforms where IoT devices sell or share their collected data securely.
What you will learn:
You’ll study how AI analyzes sensor datasets, ensures quality, and enables fair pricing of data.
What the output will be:
You’ll create a sample IoT data listing on a simulated decentralized marketplace.
What you can do after completing it:
You’ll be able to monetize IoT data, support smart city projects, and build business models around device-driven insights.
Capstone Project
AI-Powered Wallet Builder
What it’s about:
This module guides you through designing a custom digital wallet that integrates blockchain security with AI-driven features like fraud detection and smart recommendations.
What you will learn:
You’ll learn wallet architecture, key management, and how AI helps detect unusual activity and enhance user experience.
What the output will be:
You’ll build a prototype AI-enhanced wallet with basic send/receive and security features.
What you can do after completing it:
You’ll be able to design and pitch your own intelligent wallet solution for real-world use.
Capstone Project
Smart Contract Generator
What it’s about:
This module focuses on creating a tool that uses AI to draft secure and optimized smart contracts for common blockchain applications.
What you will learn:
You’ll study how AI automates code generation, checks for vulnerabilities, and adapts contracts to user inputs.
What the output will be:
You’ll produce a functioning contract generator that can create simple token or governance contracts.
What you can do after completing it:
You’ll be able to design automated systems that make blockchain development easier and safer.
Capstone Project
AI Analytics Dashboard
What it’s about:
This module covers the creation of a dashboard that uses AI to visualize blockchain data, detect trends, and generate insights.
What you will learn:
You’ll learn how to fetch blockchain data, process it with AI models, and display results in user-friendly charts and reports.
What the output will be:
You’ll develop an interactive dashboard that shows insights like wallet activity, token flows, or DeFi metrics.
What you can do after completing it:
You’ll be able to present data-driven blockchain insights for businesses, investors, or research purposes
Capstone Project
NFT Marketplace Setup
What it’s about:
This module guides you in building a decentralized NFT marketplace with AI features like price prediction, authenticity checks, and personalized recommendations.
What you will learn:
You’ll study marketplace mechanics — minting, listing, and trading — enhanced by AI-driven analytics.
What the output will be:
You’ll create a functional NFT marketplace demo where users can buy, sell, and discover digital assets.
What you can do after completing it:
You’ll be able to design creative marketplaces that combine blockchain trust with AI intelligence
Capstone Project
Decentralized App (DApp)
What it’s about:
This final module ties everything together by helping you build a fully working decentralized application powered by AI and blockchain.
What you will learn:
You’ll explore how AI models, smart contracts, and blockchain infrastructure come together in one real-world app.
What the output will be:
You’ll deploy a DApp prototype — such as a DeFi tool, DAO voting app, or supply chain tracker — with AI-enhanced features.
What you can do after completing it:
You’ll be able to showcase a polished capstone project in your portfolio, demonstrating your ability to merge AI and blockchain for innovative solutions
Learning Tools & Platforms Used
Participants will engage with interactive AI-powered simulations, blockchain explorers, real-time dashboards, visual analytics platforms, multilingual voice-based assistants, and decentralized application prototypes. These tools create a hands-on learning environment, allowing learners to design, test, and deploy blockchain + AI solutions across real-world scenarios.
Each platform in the course emphasizes accessibility, visual learning, and practical application, ensuring learners gain confidence in working with smart contracts, DeFi systems, NFT marketplaces, decentralized governance models, security audits, and cross-chain ecosystems. The focus is on empowering participants to understand how AI enhances blockchain performance, security, scalability, and adoption in multiple industries.
📈 Learning Outcomes
By the end of this course, learners will:
By the end of this course, learners will be able to:
- Understand how AI is transforming different areas of blockchain technology and its ecosystems.
- Identify key AI applications and their practical use cases in smart contracts, DeFi, NFTs, DAOs, supply chains, security, and more.
- Interpret AI-driven blockchain data, analytics, and insights for better decision-making.
- Apply AI principles to optimize blockchain performance, scalability, and security while reducing inefficiencies.
- Develop a strategic perspective on integrating AI with blockchain across industries such as finance, healthcare, supply chain, IoT, and governance.
By the end of each unit, learners will be able to:
Apply the knowledge gained to design innovative, real-world blockchain applications enhanced by AI.
Recognize the core concepts of the specific blockchain + AI domain covered.
Explore relevant AI techniques and their application in that segment.
Work with simulations, dashboards, and prototypes to test blockchain + AI solutions.
Analyze outcomes from exercises and projects to strengthen practical understanding.
Duration:
Course Duration
Each unit is designed to be completed within 2 to 3 hours, making it accessible for working professionals, students, entrepreneurs, and developers alike. The structure allows for self-paced progression while offering flexibility to revisit and reinforce core concepts as needed.
Doubt-Clearing Support:
After the main class, learners can schedule a 30-minute remote session (via Zoom, Google Meet, or similar platforms) to clarify doubts or receive personalized guidance on their projects.
Detailed Session Flow for Each Unit:
Introduction Video (10 minutes) – Overview of the unit topic and its significance in today’s blockchain + AI ecosystem.
Concept Explainer Module (20 minutes) – Animated lessons or narrated slides explaining key concepts and AI principles behind blockchain applications.
Use Case Demonstration (20 minutes) – Real-world walkthrough showing how AI integrates with blockchain in areas like smart contracts, NFTs, DeFi, or DAOs.
Interactive Simulation (30 minutes) – Scenario-based activity where learners engage with AI-powered blockchain tools to solve problems or run experiments.
Case Study Review (15 minutes) – Analysis of a successful project using AI + blockchain, with key lessons and industry insights.
Quiz & Reflection (15 minutes) – Quick assessment to reinforce learning, followed by reflective prompts on how to apply the knowledge.
Action Plan Template (Optional) – A downloadable worksheet for planning how to implement blockchain + AI strategies in professional or academic projects.
Course Price & Structure
Price per Unit: ₹499 only
Each unit is designed as an affordable, standalone module. Learners can choose any unit that aligns with their professional or academic interests—such as smart contracts, NFTs, DeFi, DAOs, security, or interoperability—without the need to commit to the entire program.
Multiple Enrollments:
Learners can enroll in multiple units depending on their goals. Since each unit is structured independently, participants can mix and match topics (e.g., Smart Contracts + DeFi Tools + Blockchain Security) to create a personalized learning path.
Bundle Offers:
For students and professionals looking to explore more, attractive bundle options can be introduced:
- 3 Units for ₹1,299 (Save ₹198)
- All 9 Units for ₹3,999 (Save ₹488)