Augmented Reality – AI-Powered Learning
Create. Interact. Transform.
Course Objective
This stream explores how Augmented Reality (AR) is reshaping the way we learn, play, and experience the world. Through modules on gesture recognition, 3D object tracking, markerless AR, real-time animation, immersive storytelling, and more, students will gain hands-on knowledge of building smart, interactive, and impactful AR experiences.
By merging imagination with intelligent systems, learners will be equipped to design applications that blend the physical and digital worlds—transforming education, entertainment, commerce, and beyond.
Whether you’re a student, designer, entrepreneur, or innovator, this course will teach you how to build immersive AR solutions, engage audiences, and reimagine everyday interactions.
Intro to AI and AR Concepts
Building Lightweight AR Models
What it’s about:
This module introduces how artificial intelligence can be optimized to work smoothly on mobile and low-power devices. You’ll explore how AR experiences can run in real-time without heavy hardware.
What you will learn:
- How to train and shrink AI models for faster performance.
- How to connect these models with camera-based AR experiences.
- Techniques to make apps both smart and lightweight.
What the output will be:
By the end, you’ll have a working mini AR model that runs on a simple device (like a phone), detecting and responding to objects or scenes in real time.
What you can do after completing it:
You’ll be able to design AR apps that don’t need supercomputers—making your work accessible for everyday devices like smartphones, tablets, or even AR glasses.
Intro to AI and AR Concepts
AI on the Web
What it’s about:
This module explores how artificial intelligence can run directly in your browser, without installing extra software.
What you will learn:
- How to create interactive AI experiences online.
- Ways to make websites “think” using AI.
- How to process images, text, and data directly in a browser.
What the output will be:
You’ll build a simple web page that performs AI-based tasks (like detecting emotions, text, or visuals) instantly on your screen.
What you can do after completing it:
You’ll be ready to add smart AI features into websites, e-commerce stores, online portfolios, or even classroom projects.
Intro to AI and AR Concepts
Gesture Recognition with AI
What it’s about:
This module teaches how AI can recognize body movements, hand signs, and facial gestures to control devices or interact with virtual worlds.
What you will learn:
- Basics of human pose and gesture tracking.
- How to train systems to understand hands, faces, or body movement.
- How to connect gestures with actions in AR.
What the output will be:
You’ll create a simple system that detects a hand wave, peace sign, or body movement and turns it into an AR interaction.
What you can do after completing it:
You’ll be able to design AR apps where people can control games, presentations, or learning tools—just by moving their hands or body.
Intro to AI and AR Concepts
Web-Based AR Framework
What it’s about:
This module covers how AR experiences can be built and shared using only a web browser—no heavy downloads required.
What you will learn:
- Basics of AR markers and 3D object placement.
- How to create AR scenes that open with a single link.
- How to blend digital models with the real world through the camera.
What the output will be:
You’ll design a mini AR experience where a 3D object appears when you scan a marker or point your camera at a specific surface.
What you can do after completing it:
You’ll be able to build AR business cards, product demos, or art exhibitions that work instantly on any device with a browser.
Intro to AI and AR Concepts
Creative AI + AR Experiments
What it’s about:
This module introduces playful, creative projects where AI and AR come together—perfect for inspiration and experimentation.
What you will learn:
- How AI can blend with creativity to make fun AR effects.
- How to explore existing demos and reimagine them in your style.
- How to combine computer vision with interactive art.
What the output will be:
You’ll build a small creative AR demo (like a face filter, doodle interaction, or musical AR experiment).What you can do after completing it:
You’ll have the skills to prototype interactive art, playful AR filters, or demo projects for portfolios, hackathons, or personal fun.
Marker-based AR Creation
Getting Started with Marker-Based AR
What it’s about:
This module introduces the concept of using printed images, symbols, or markers as triggers to display digital 3D objects in the real world.
What you will learn:
- How to set up markers that act as “keys” for AR experiences.
- How to attach 3D models, animations, or information to markers.
- How to test marker-based AR on mobile devices.
What the output will be:
You’ll create a simple AR demo where a 3D object appears when a camera scans a printed marker.
What you can do after completing it:
You’ll be able to build interactive AR posters, flashcards, or brochures where images come alive with digital content.
Marker-based AR Creation
Image Tracking for AR
What it’s about:
This module focuses on teaching how to recognize and track specific images in real time, even if they move, rotate, or change size.
What you will learn:
- The science of detecting edges, patterns, and features in images.
- How to link digital elements to an image and keep them stable.
- How to improve accuracy in image-based AR experiences.
What the output will be:
You’ll design an AR system that locks a digital element (like text or a 3D model) onto a tracked image, keeping it fixed as the image moves.
What you can do after completing it:
You’ll be able to create AR-based educational cards, product manuals, or advertisements where content follows the image naturally.
Marker-based AR Creation
Open Source AR Development
What it’s about:
This module explores how marker-based AR can be built using free, open-source frameworks—giving you flexibility to experiment and customize.
What you will learn:
- How open-source AR frameworks work.
- How to set up basic marker recognition.
- How to customize AR tracking features for unique projects.
What the output will be:
You’ll build a basic marker-based AR demo using open-source libraries, capable of recognizing printed markers and projecting digital visuals.
What you can do after completing it:
You’ll be able to create and share AR projects without licensing limits—perfect for personal experiments, classroom learning, or portfolio projects.
Marker-based AR Creation
Building with Lightweight AR SDKs
What it’s about:
This module covers simpler AR development kits that help beginners quickly set up marker-based AR with minimal coding.
What you will learn:
- How to use easy-to-integrate SDKs for AR creation.
- How to set up markers and attach content step by step.
- How to build AR experiences with a faster learning curve.
What the output will be:
You’ll create a working AR demo with a basic interface, showing 3D content when a marker is scanned.
What you can do after completing it:
You’ll be ready to build simple AR apps for school projects, presentations, or marketing campaigns without needing advanced programming skills.
Marker-based AR Creation
Web-Based Marker AR
What it’s about:
This module explains how marker-based AR can be delivered directly through a web browser, removing the need to download an app.
What you will learn:
- How to link markers with AR experiences online.
- How to optimize AR scenes for web and mobile browsers.
- How to share AR content through a simple link or QR code.
What the output will be:
You’ll design a browser-based AR demo where scanning a marker opens an instant AR experience on a phone camera.
What you can do after completing it:
You’ll be able to create AR campaigns, product packaging, or event passes that work instantly via the web—making AR accessible to a wider audience.
Markerless AR & SLAM
Getting Started with Markerless AR (Entry Level)
What it’s about:
This module introduces markerless AR, where digital objects can be placed directly in the real world without using printed markers.
What you will learn:
- Basics of plane detection (finding flat surfaces like floors or tables).
- How to anchor virtual objects to real-world environments.
- How to interact with AR objects by moving around them.
What the output will be:
You’ll create a simple AR experience where you can place a 3D object on the ground or a table and walk around it.
What you can do after completing it:
You’ll be able to design markerless AR demos for furniture try-outs, simple games, or interactive learning tools.
Markerless AR & SLAM
Markerless AR on Mobile Devices (Beginner Guides)
What it’s about:
This module focuses on building AR experiences specifically optimized for mobile devices, helping you learn step-by-step how phones can track environments without markers.
What you will learn:
- How mobile cameras understand depth and movement.
- How to place, resize, and move virtual objects in real space.
- How to create beginner-friendly AR apps for phones and tablets.
What the output will be:
You’ll make a mobile AR demo where objects stay fixed in place even as the camera moves around them.
What you can do after completing it:
You’ll be able to design entry-level AR applications for iOS or Android that bring everyday spaces to life.
Markerless AR & SLAM
Understanding SLAM (Simultaneous Localization and Mapping)
What it’s about:
This module introduces the core concept of SLAM—how devices map the environment in real time while tracking their own position.
What you will learn:
- The basics of how AR devices build 3D maps of their surroundings.
- How to detect and track movement without using markers.
- How SLAM improves stability in AR experiences.
What the output will be:
You’ll create a demo where the system builds a map of the room as you walk around, allowing stable placement of digital content.
What you can do after completing it:
You’ll be able to design more advanced AR apps like indoor navigation, multiplayer AR games, or spatial mapping tools.
Markerless AR & SLAM
Web-Based Markerless AR
What it’s about:
This module covers how markerless AR can run directly in a web browser, making it accessible without needing to download an app.
What you will learn:
- How to use the browser camera for real-time AR placement.
- How to optimize AR for both desktop and mobile browsers.
- How to share AR projects instantly through a URL or QR code.
What the output will be:
You’ll build a browser-based AR demo where objects can be placed and viewed in the real world from any device.
What you can do after completing it:
You’ll be able to create marketing campaigns, art projects, or event experiences that work instantly on any phone with internet access.
Markerless AR & SLAM
Professional AR Development with Markerless Features
What it’s about:
This module explores more advanced markerless AR development, combining multiple features like object recognition, location-based AR, and extended tracking.
What you will learn:
- How to integrate geolocation with AR experiences.
- How to recognize and interact with real-world objects.
- How to build AR projects that persist in the same place even when the app restarts.
What the output will be:
You’ll design a professional-grade AR demo that combines markerless placement, object recognition, and persistent AR.
What you can do after completing it:
You’ll be ready to develop enterprise-level AR solutions for retail, tourism, education, or industrial training.
AI for Gesture Recognition
Full-Body Gesture Tracking
What it’s about:
This module introduces how AI can track the entire human body—including face, hands, and posture—through a camera.
What you will learn:
- Basics of detecting body landmarks (eyes, mouth, joints, fingers).
- How to combine face, hand, and body tracking into one system.
- How to apply gestures for AR, VR, or fitness applications.
What the output will be:
You’ll create a demo where your system recognizes full-body movements—like a smile, a hand raise, or walking motion—and responds with a digital action.
What you can do after completing it:
You’ll be able to design immersive applications like fitness coaches, AR avatars, or interactive learning apps that respond to real movements.
AI for Gesture Recognition
Body Pose Estimation
What it’s about:
This module focuses on detecting and analyzing key points of the human body to understand posture, actions, and physical gestures.
What you will learn:
- How AI identifies shoulders, elbows, knees, and other body joints.
- How to estimate poses from still images and live video.
- How to interpret movements like running, jumping, or dancing.
What the output will be:
You’ll build a system that can recognize body poses, such as standing straight, sitting, or striking a yoga pose.
What you can do after completing it:
You’ll be able to create applications for sports training, dance apps, physical therapy monitoring, or gesture-based gaming.
AI for Gesture Recognition
Hand Gesture Recognition
What it’s about:
This module explores how AI can detect hand movements, shapes, and signals using a webcam or camera feed.
What you will learn:
- How to detect hands in real time.
- How to classify gestures like a fist, open palm, or peace sign.
- How to connect hand gestures with digital actions.
What the output will be:
You’ll make a demo where a computer recognizes simple hand signs and triggers events, like turning on a virtual light with a wave.
What you can do after completing it:
You’ll be able to design touchless interfaces, sign language tools, and gesture-based AR/VR experiences.
AI for Gesture Recognition
Building Custom Gesture Models
What it’s about:
This module teaches how to train AI systems to recognize new and custom gestures beyond pre-built ones.
What you will learn:
- How to collect and label gesture data.
- How to train AI to recognize unique hand or body signals.
- How to evaluate accuracy and improve gesture recognition.
What the output will be:
You’ll develop a custom gesture recognition system that understands gestures you define—like a thumbs-up for “yes” or a hand wave for “next.”
What you can do after completing it:
You’ll be able to design tailor-made gesture systems for classrooms, presentations, accessibility tools, or interactive installations.
AI for Gesture Recognition
AI for Real-Time Pose Detection in the Browser
What it’s about:
This module shows how gesture recognition can run directly in web browsers, making it easy to share and access without installing apps.
What you will learn:
- How to run pose detection in real time on a website.
- How to map body keypoints and connect them to interactive actions.
- How to create browser-based demos that anyone can try instantly.
What the output will be:
You’ll create a web-based demo where body poses—like stretching arms or leaning sideways—control simple on-screen effects.
What you can do after completing it:
You’ll be able to build interactive web experiences, online fitness apps, or gesture-controlled websites accessible from any device.
3D Object Recognition & Tracking
Introduction to Object Detection
What it’s about:
This module introduces how AI can identify objects in images and videos by drawing boundaries around them.
What you will learn:
- Basics of computer vision for detecting objects.
- How AI distinguishes between multiple categories (e.g., car, chair, person).
- How detection works in real time through a camera feed.
What the output will be:
You’ll create a demo where your system highlights and labels objects from a live camera or image.
What you can do after completing it:
You’ll be able to build applications like product recognition apps, smart surveillance, or AR overlays triggered by object detection.
3D Object Recognition & Tracking
Advanced Object Recognition (Open Source Frameworks)
What it’s about:
This module explores deeper AI models that can classify, segment, and recognize objects at a finer level of detail.
What you will learn:
- How to work with advanced AI models for object recognition.
- The difference between detecting an object vs. segmenting it.
- How to customize recognition for specific categories.
What the output will be:
You’ll build a demo that not only detects objects but also segments them—separating each object from its background.
What you can do after completing it:
You’ll be able to design applications for medical imaging, AR filters, industrial quality checks, or creative design tools.
3D Object Recognition & Tracking
Object Tracking in Real Time
What it’s about:
This module covers how to follow detected objects across frames, keeping track of them as they move.
What you will learn:
- The difference between detection and tracking.
- How to give each object a unique ID and follow its path.
- How to track multiple moving objects in real time.
What the output will be:
You’ll create a demo where detected objects are tracked with unique labels as they move around.
What you can do after completing it:
You’ll be able to build tracking systems for traffic monitoring, sports analytics, or interactive AR experiences.
3D Object Recognition & Tracking
Bringing AI Objects into 3D Worlds
What it’s about:
This module explains how AI-based recognition can be combined with 3D rendering to create interactive AR/VR scenes.
What you will learn:
- How to link detected objects with 3D models.
- How to place and animate 3D objects in a virtual environment.
- How to blend AI detection with creative 3D visualization.
What the output will be:
You’ll design a demo where recognized objects trigger 3D elements (for example, pointing a camera at a cup makes a 3D animation appear).
What you can do after completing it:
You’ll be able to create AR shopping apps, immersive 3D storytelling, or interactive museum and education projects.
3D Object Recognition & Tracking
Exploring Large-Scale Object Recognition Systems
What it’s about:
This module dives into professional AI frameworks that support large-scale recognition and tracking across diverse categories.
What you will learn:
- How to work with pre-trained libraries that handle many object types.
- How to expand recognition to cover specialized datasets.
- How to integrate detection, segmentation, and tracking together.
What the output will be:
You’ll build a demo that can detect and track multiple types of objects in complex scenes, like busy streets or classrooms.
What you can do after completing it:
You’ll be able to design enterprise-level solutions for security, autonomous navigation, retail analytics, and large-scale AR systems.
AR Visualizations & Effects
Social Media AR Filters
What it’s about:
This module introduces how AR effects are created for social media platforms, allowing users to interact with face filters, 3D overlays, and camera effects.
What you will learn:
- Basics of designing face-tracking filters.
- How to add dynamic effects like masks, makeup, or animations.
- How to publish and test filters for mobile cameras.
What the output will be:
You’ll create a fun, interactive AR filter (like sunglasses, animal ears, or animated effects) that works on a mobile device.
What you can do after completing it:
You’ll be able to design and launch your own AR filters for social media campaigns, brand promotions, or personal creative expression.
AR Visualizations & Effects
Camera-Based Lenses & Effects
What it’s about:
This module explores how advanced AR lenses work with face and object recognition to create engaging, interactive visual effects.
What you will learn:
- How to design lenses that respond to facial gestures.
- How to add 3D elements and animations tied to movement.
- How to enhance storytelling through playful visual overlays.
What the output will be:
You’ll build a lens that reacts to actions (for example, opening your mouth launches a fun animation).
What you can do after completing it:
You’ll be able to create highly engaging AR lenses for entertainment, events, or digital marketing.
AR Visualizations & Effects
Short-Form Video AR Effects
What it’s about:
This module covers how AR effects are integrated into short-form video platforms to boost creativity and audience engagement.
What you will learn:
- How to create filters that fit viral video trends.
- How to add interactive 2D and 3D effects to videos.
- How to optimize AR content for large social audiences.
What the output will be:
You’ll design an AR effect for short videos—such as glowing effects, floating objects, or fun face overlays.
What you can do after completing it:
You’ll be able to design AR campaigns that reach millions through creative, shareable video content.
AR Visualizations & Effects
Advanced 3D Effects with AI Integration
What it’s about:
This module dives into creating advanced 3D AR effects by combining AI plugins with 3D modeling and animation tools.
What you will learn:
- How to design custom 3D models for AR.
- How AI can generate textures, shapes, or animations.
- How to render realistic AR effects for immersive experiences.
What the output will be:
You’ll create a 3D AR visualization, like a futuristic object or AI-generated animation that reacts to user input.
What you can do after completing it:
You’ll be able to produce professional AR content for gaming, storytelling, or product visualization.
AR Visualizations & Effects
AR in Game Engines
What it’s about:
This module explores how AR plugins extend game engines to add interactive AR elements into virtual environments.
What you will learn:
- How to set up AR inside a game engine.
- How to merge real-world visuals with digital characters and objects.
- How to design interactive scenes blending AR and gameplay.
What the output will be:
You’ll build a mini AR game or scene where virtual characters appear in the real world through a camera view.
What you can do after completing it:
You’ll be able to design AR games, educational apps, or simulations that merge real-world interaction with digital storytelling.
AI-Powered 3D Model Creation
Creating Realistic Human Models
What you will learn:
- How to design 3D human characters with adjustable features like height, body type, and facial structure.
- How to prepare models for animation and AR/VR applications.
- How AI can speed up character creation.
What the output will be:
You’ll generate a realistic 3D human model ready for use in games, simulations, or digital storytelling.
What you can do after completing it:
You’ll be able to create custom human avatars for AR/VR projects, films, educational tools, or virtual assistants.
AI-Powered 3D Model Creation
3D Reconstruction from Images
What you will learn:
- How to turn multiple photos into a detailed 3D model.
- Basics of photogrammetry and reconstruction.
- How to refine and optimize generated models.
What the output will be:
You’ll create a 3D model of a real object (like a toy, plant, or artifact) using just photographs.
What you can do after completing it:
You’ll be able to digitize real-world items for use in AR/VR, e-commerce, heritage preservation, or digital collections.
AI-Powered 3D Model Creation
Optimizing 3D Meshes
What you will learn:
- How to simplify complex 3D models while keeping important details.
- How to make 3D assets lightweight and efficient for real-time applications.
- How to clean and prepare meshes for animations or games.
What the output will be:
You’ll produce an optimized 3D model that runs smoothly in AR/VR or game engines.
What you can do after completing it:
You’ll be able to create efficient, performance-ready assets for mobile AR apps, games, or simulations.
AI-Powered 3D Model Creation
AI for Motion Capture and Animation
What you will learn:
- How AI can capture human movements from video.
- How to apply realistic animations to 3D characters.
- How to blend gesture and body movement data with 3D rigs.
What the output will be:
You’ll animate a 3D character with realistic human motion—like walking, dancing, or sports movements.
What you can do after completing it:
You’ll be able to design animated characters for films, games, AR experiences, and educational simulations without expensive motion-capture suits.
AI-Powered 3D Model Creation
AI-Assisted 3D Asset Creation
What you will learn:
- How AI can generate 3D models from 2D sketches, concepts, or simple inputs.
- How to refine auto-generated models into production-ready assets.
- How to speed up prototyping with AI-generated geometry.
What the output will be:
You’ll create a 3D object (like furniture, props, or characters) from a simple sketch or idea.
What you can do after completing it:
You’ll be able to rapidly produce prototypes for gaming, AR/VR projects, architecture, or product design using AI-assisted workflows.
Real-Time Object Replacement
Real-Time Object Detection & Substitution
What you will learn:
- How AI detects and isolates objects in live video streams.
- How to replace or overlay objects with new visuals in real time.
- How to maintain stability even when objects move or rotate.
What the output will be:
You’ll create a demo where an everyday object (like a cup or book) is swapped with a digital replacement on live video.
What you can do after completing it:
You’ll be able to design AR applications for product demos, creative video editing, and interactive live shows.
Real-Time Object Replacement
AI for Face Replacement (Basic)
What you will learn:
- How AI maps facial landmarks like eyes, nose, and mouth.
- How to replace one face with another in real-time video.
- How to handle expressions and lighting for realism.
What the output will be:
You’ll produce a live demo where one face is swapped with another while maintaining natural expressions.
What you can do after completing it:
You’ll be able to create applications for entertainment, filmmaking, and safe identity masking in media.
Real-Time Object Replacement
Open-Source Face Swapping
What you will learn:
- How to use customizable open-source frameworks for face swapping.
- How to train AI to adapt to different face datasets.
- How to improve accuracy and reduce visual glitches.
What the output will be:
You’ll build a face swap demo with adjustable settings for different use cases.
What you can do after completing it:
You’ll be able to create personalized filters, research projects, or educational demos using open-source face replacement systems.
Real-Time Object Replacement
Real-Time Avatar Animation
What you will learn:
- How AI maps facial movements to digital avatars in real time.
- How to control an animated character using your own expressions.
- How to stream avatar-based content live.
What the output will be:
You’ll design a demo where your live expressions animate a virtual avatar instantly.
What you can do after completing it:
You’ll be able to build virtual presenters, stream as animated characters, or create engaging interactive avatars for events.
Real-Time Object Replacement
Motion-Driven Face & Object Animation
What you will learn:
- How AI transfers motion from one video to another subject.
- How to animate still images or characters using movement data.
- How to create smooth and natural-looking animations.
What the output will be:
You’ll create a demo where a static image or object comes alive by imitating movements from a video.
What you can do after completing it:
You’ll be able to design creative animations for storytelling, marketing, and digital art projects.
Voice & NLP in AR
Conversational AI Basics for AR
What you will learn:
- How to build voice-enabled conversational agents.
- How to connect speech input with AR actions.
- How to design simple question–answer experiences in real time.
What the output will be:
You’ll create a demo where a user can speak a command (like “Show me a chair”) and see a 3D object appear in AR.
What you can do after completing it:
You’ll be able to design voice-controlled AR assistants for education, retail, or interactive storytelling.
Voice & NLP in AR
Custom Chatbots for AR Experiences
What you will learn:
- How to build fully customizable AI chatbots.
- How to train models with your own intents and datasets.
- How to integrate conversation flows with AR visual responses.
What the output will be:
You’ll design a chatbot-driven AR app where virtual objects or characters respond to user queries.
What you can do after completing it:
You’ll be able to create AR-based customer service bots, museum guides, or interactive training simulations.
Voice & NLP in AR
Voice Recognition & Natural Language Understanding
What you will learn:
- How AI converts speech into text and understands meaning.
- How to design commands for AR actions (like “rotate the model” or “make it bigger”).
- How to create interactive systems that respond instantly to voice input.
What the output will be:
You’ll build an AR demo where spoken instructions directly control the behavior of a 3D object.
What you can do after completing it:
You’ll be able to design hands-free AR applications for gaming, accessibility, and real-time collaboration.
Voice & NLP in AR
Enterprise-Level Voice AI for AR
What you will learn:
- How to scale conversational AI for large, enterprise projects.
- How to integrate multiple languages and advanced intent detection.
- How to link AR apps with enterprise data sources for contextual responses.
What the output will be:
You’ll create a professional-grade AR demo where users can ask complex questions and get visual + spoken responses.
What you can do after completing it:
You’ll be able to build enterprise-ready AR voice solutions for retail, healthcare, and corporate training.
Voice & NLP in AR
Cognitive AI Assistants in AR
What you will learn:
- How cognitive AI systems process context, tone, and user behavior.
- How to design conversational flows with memory and adaptability.
- How to combine voice AI with immersive AR visuals.
What the output will be:
You’ll create a smart AR assistant capable of remembering previous queries and responding in a natural, human-like manner.
What you can do after completing it:
You’ll be able to design advanced AR assistants for virtual classrooms, business presentations, or personal productivity.
AI for Spatial Mapping
2D & 3D Map Generation
What you will learn:
- How AI systems create maps of physical spaces in real time.
- How to integrate sensor data like lidar or cameras to build maps.
- How to align AR objects with real-world geometry.
What the output will be:
You’ll generate a live 2D/3D map of a room or environment as you move through it with a camera or sensor.
What you can do after completing it:
You’ll be able to design AR navigation systems, robotics applications, or smart indoor guides.
AI for Spatial Mapping
Real-Time Mapping in Robotics
What you will learn:
- How mapping is integrated with robotics for navigation.
- How to create loop closures (recognizing places previously visited).
- How to run real-time updates as environments change.
What the output will be:
You’ll build a system that can guide a robot or AR device through a space while updating its map continuously.
What you can do after completing it:
You’ll be able to design AR-assisted robots, autonomous vehicles, or warehouse navigation systems.
AI for Spatial Mapping
Feature-Based SLAM
What you will learn:
- How visual features (like corners and edges) are used to locate and map spaces.
- How to combine camera position tracking with environment reconstruction.
- How to achieve high-accuracy localization without GPS.
What the output will be:
You’ll create a demo where a camera can map and track movement in an environment using only visual inputs.
What you can do after completing it:
You’ll be able to build AR applications for indoor navigation, mobile AR games, and location-based experiences.
AI for Spatial Mapping
Volumetric Mapping
What you will learn:
- How to represent environments as 3D volumes instead of flat maps.
- How to reconstruct rooms, walls, and obstacles in real time.
- How volumetric mapping improves interaction with AR objects.
What the output will be:
You’ll produce a 3D volumetric map of an environment that AR elements can interact with.
What you can do after completing it:
You’ll be able to design AR experiences where digital objects realistically collide, hide, or move around real-world structures.
AI for Spatial Mapping
Dense 3D Reconstruction
What you will learn:
- How AI builds dense 3D reconstructions of environments.
- How to capture fine details for realistic AR overlays.
- How to optimize dense mapping for real-time performance.
What the output will be:
You’ll create a highly detailed 3D reconstruction of a real-world environment that can be used in AR simulations.
What you can do after completing it:
You’ll be able to develop AR apps for architecture, interior design, cultural heritage preservation, or advanced simulation.
AI AR Game Development
Training Smart Game Characters
What you will learn:
- How AI agents can be trained to play, adapt, and improve in AR games.
- Basics of reinforcement learning for interactive gameplay.
- How to make non-player characters (NPCs) learn from user actions.
What the output will be:
You’ll create a demo game where AI-powered characters respond intelligently to player behavior.
What you can do after completing it:
You’ll be able to design AR games with adaptive opponents, smart companions, or self-learning characters.
AI AR Game Development
Open-Source AR Game AI
What you will learn:
- How to integrate AI into open-source game engines.
- How to build AR environments that mix real and digital elements.
- How to design simple AI-driven gameplay mechanics.
What the output will be:
You’ll build a mini AR game where digital characters interact with the physical environment.
What you can do after completing it:
You’ll be able to create independent AR games for learning, entertainment, or research projects.
AI AR Game Development
Browser-Based AI Games
What you will learn:
- How to use AI in browser environments for interactive AR experiences.
- How to make web-based characters respond to voice, text, or gestures.
- How to deploy AR games instantly online.
What the output will be:
You’ll design a web AR game that runs directly in a browser and responds to player input.
What you can do after completing it:
You’ll be able to publish lightweight AR games accessible to anyone with a link—great for viral campaigns and quick sharing.
AI AR Game Development
AI Plugins for 3D Web Games
What you will learn:
- How to integrate AI into 3D graphics engines.
- How to create AR gameplay with realistic physics and environments.
- How to link AI behaviors with player-driven AR actions.
What the output will be:
You’ll produce a 3D AR game where digital characters behave intelligently within immersive environments.
What you can do after completing it:
You’ll be able to create visually rich AR experiences for education, entertainment, or brand storytelling.
AI AR Game Development
Prototyping AR Game Ideas in 3D
What you will learn:
- How to rapidly prototype AR game environments.
- How to combine storytelling, AI, and immersive 3D scenes.
- How to test ideas quickly before building full-scale games.
What the output will be:
You’ll build a playable AR prototype that demonstrates your game idea with basic interactions.
What you can do after completing it:
You’ll be able to pitch, test, and refine AR game concepts for studios, investors, or classroom projects.
AR Apps for Education
Interactive Learning with AR
What you will learn:
- How to create interactive AR lessons that bring textbooks to life.
- How to design simple drag-and-drop AR experiences for students.
- How to connect 3D objects, images, and videos to classroom content.
What the output will be:
You’ll design an AR learning card or poster where pointing a camera reveals animations, 3D models, or quizzes.
What you can do after completing it:
You’ll be able to create AR flashcards, science experiments, or history lessons that make learning more engaging.
AR Apps for Education
Building Virtual Classrooms
What you will learn:
- How to design AR environments where students can explore lessons virtually.
- How to create interactive 3D scenes for storytelling, science, or math.
- How to guide students through virtual learning journeys.
What the output will be:
You’ll create a small AR classroom scene, such as a solar system students can walk around and explore.
What you can do after completing it:
You’ll be able to design immersive AR classrooms that improve engagement and understanding in schools.
AR Apps for Education
Storytelling with AR
What you will learn:
- How to build interactive AR stories where students make choices.
- How to mix narration, animation, and AR visuals.
- How to design story-based lessons that adapt to learners’ input.
What the output will be:
You’ll create an interactive AR story, like a “choose your adventure” experience for kids.
What you can do after completing it:
You’ll be able to design educational games and interactive books for language, history, or moral lessons.
AR Apps for Education
AR for Early Childhood Learning
What you will learn:
- How AR can make basic learning—like alphabets, numbers, and colors—more engaging.
- How to design playful AR activities suitable for young learners.
- How to create safe and fun AR experiences for children.
What the output will be:
You’ll build a simple AR activity (like animated animals for alphabets or counting objects) that toddlers can enjoy.
What you can do after completing it:
You’ll be able to create early learning AR apps for preschools, daycare centers, or at-home learning.
AR Apps for Education
Designing Educational Campaigns with AR
What you will learn:
- How to use AR for awareness, exhibitions, and science fairs.
- How to connect AR with real-world objects like posters, books, or classrooms.
- How to scale AR lessons for larger groups of students.
What the output will be:
You’ll design an AR campaign, such as an environmental awareness project where posters come alive with 3D content.
What you can do after completing it:
You’ll be able to create educational AR projects for schools, NGOs, or institutions that blend learning with creativity.
AI-Based AR Filters & Lenses
Designing AR Face Filters
What you will learn:
- How to create interactive face filters that respond to movements.
- How to map facial landmarks like eyes, nose, and mouth.
- How to add dynamic effects such as masks, stickers, and animations.
What the output will be:
You’ll design a face filter that reacts to expressions—like sunglasses appearing when you smile.
What you can do after completing it:
You’ll be able to launch your own branded AR filters for social platforms, events, or personal creativity.
AI-Based AR Filters & Lenses
Building AR Effects for Social Media
What you will learn:
- How to create AR effects optimized for popular social media platforms.
- How to connect filters with user gestures and interactions.
- How to publish and share AR content with large audiences.
What the output will be:
You’ll create an AR effect for social media—like glowing animations, background changes, or interactive stickers.
What you can do after completing it:
You’ll be able to design engaging campaigns that reach thousands of users instantly through social media.
AI-Based AR Filters & Lenses
Short-Form Video AR Filters
What you will learn:
- How AR filters enhance short, creative videos.
- How to design interactive elements that match viral trends.
- How to blend AI-powered effects with real-time video creation.
What the output will be:
You’ll build a filter that adds dynamic effects (like floating emojis or color-changing effects) to short videos.
What you can do after completing it:
You’ll be able to create viral-ready AR effects for entertainment, challenges, and influencer collaborations.
AI-Based AR Filters & Lenses
Multi-Platform AR Experiences
What you will learn:
- How to design AR effects that work across different platforms.
- How to adapt filters for different audiences and devices.
- How to connect AR experiences with campaigns or communities.
What the output will be:
You’ll design a cross-platform AR experience that can be published on multiple social networks.
What you can do after completing it:
You’ll be able to create AR filters for events, festivals, or educational campaigns accessible worldwide.
AI-Based AR Filters & Lenses
Advanced AI Filters & Real-Time Lenses
What you will learn:
- How AI enhances AR effects with face tracking, segmentation, and motion detection.
- How to design lenses with 3D models, particle effects, and background replacement.
- How to create interactive AR content that feels immersive and realistic.
What the output will be:
You’ll develop an advanced AR lens—like real-time face morphing, animated masks, or AI-powered backgrounds.
What you can do after completing it:
You’ll be able to produce professional-grade AR filters for brands, marketing agencies, or entertainment platforms.
AI-Powered AR Analytics
Understanding User Behavior in AR
What you will learn:
- How to track user interactions inside AR apps.
- How AI analyzes patterns like clicks, movements, and time spent.
- How to measure engagement with AR filters, objects, or games.
What the output will be:
You’ll build an analytics dashboard showing how users interact with AR content in real time.
What you can do after completing it:
You’ll be able to design data-driven AR experiences that adapt to user behavior for better engagement.
AI-Powered AR Analytics
Tracking AR Campaign Performance
What you will learn:
- How to measure the success of AR campaigns using analytics.
- How to connect AR experiences with web and app performance data.
- How AI predicts which features drive the most interaction.
What the output will be:
You’ll create a report comparing user activity, retention, and conversions in an AR app.
What you can do after completing it:
You’ll be able to design AR marketing projects with clear KPIs, showing measurable impact for clients or stakeholders.
AI-Powered AR Analytics
Analytics for iOS AR Experiences
What you will learn:
- How AR apps on iOS capture user movements, gestures, and screen time.
- How AI processes these signals into meaningful insights.
- How to use analytics to improve AR app performance on Apple devices.
What the output will be:
You’ll set up an iOS-focused analytics flow showing real-time usage trends in an AR experience.
What you can do after completing it:
You’ll be able to optimize AR applications for iPhone/iPad audiences with data-backed improvements.
AI-Powered AR Analytics
Analytics for Android AR Experiences
What you will learn:
- How Android-based AR apps track interaction data.
- How AI identifies trends like popular features and drop-off points.
- How to improve AR features based on analytics feedback.
What the output will be:
You’ll produce an Android-focused analytics report showing how users engage with AR objects and features.
What you can do after completing it:
You’ll be able to refine Android AR experiences for smoother interaction, better engagement, and higher retention.
AI-Powered AR Analytics
Mobile AR Engagement Analytics
What you will learn:
- How mobile analytics tools integrate with AR to measure user activity.
- How to analyze events like session length, returning users, and interactions.
- How AI forecasts trends in AR engagement.
What the output will be:
You’ll create an engagement heatmap showing which AR features are used most.
What you can do after completing it:
You’ll be able to design AR projects with predictive insights—helping you tailor future updates for maximum impact.
AR Collaboration & Social
Virtual Collaboration Spaces
What you will learn:
- How to create shared AR/VR spaces for meetings and teamwork.
- How to integrate 3D objects, whiteboards, and media into collaborative sessions.
- How to enable real-time interaction with avatars in virtual environments.
What the output will be:
You’ll build a shared AR workspace where multiple participants can meet and interact.
What you can do after completing it:
You’ll be able to design AR-powered offices, classrooms, or brainstorming spaces for remote teams.
AR Collaboration & Social
AR for Remote Teamwork
What you will learn:
- How AR can improve team collaboration across distances.
- How to use immersive tools like sticky notes, diagrams, and models.
- How to manage group tasks in a virtual workspace.
What the output will be:
You’ll create an interactive AR boardroom where teams can brainstorm with digital sticky notes and 3D models.
What you can do after completing it:
You’ll be able to design AR collaboration tools for businesses, startups, and creative teams.
AR Collaboration & Social
Meetings in AR/VR
What you will learn:
- How to host meetings inside immersive AR spaces.
- How to design realistic avatars and shared environments.
- How to add presentation tools like slides, charts, and videos in AR.
What the output will be:
You’ll build a demo AR meeting room where participants interact as avatars while sharing content.
What you can do after completing it:
You’ll be able to run virtual conferences, workshops, and classrooms that feel more engaging than video calls.
AR Collaboration & Social
Social Spaces in AR
What you will learn:
- How to design open AR hubs where people gather, chat, and explore together.
- How to add interactive elements like games, art, and performances.
- How to make experiences accessible through browsers and devices.
What the output will be:
You’ll design a social AR hub where users can enter with a link and interact in real time.
What you can do after completing it:
You’ll be able to create AR-based community spaces for events, exhibitions, or casual meetups.
AR Collaboration & Social
AR for Education & Training Collaboration
What you will learn:
- How to use AR platforms for collaborative learning.
- How to design simulations where groups solve problems together.
- How to integrate assessments and feedback inside AR classrooms.
What the output will be:
You’ll build a collaborative AR lesson, such as a group science experiment or virtual field trip.
What you can do after completing it:
You’ll be able to design immersive educational and training programs where learners collaborate in real time.
AI for Environmental Interaction
Simulated Environments for AI Training
What you will learn:
- How virtual environments are used to train AI safely.
- How to simulate weather, obstacles, and movement conditions.
- How AI agents learn navigation and decision-making in realistic setups.
What the output will be:
You’ll build a simulation where an AI-controlled agent interacts with a dynamic environment (e.g., avoiding obstacles or following paths).
What you can do after completing it:
You’ll be able to design and test AI behaviors for robotics, drones, or AR navigation systems without real-world risks.
AI for Environmental Interaction
AI in Indoor Navigation & Habitat Simulation
What you will learn:
- How to create AI agents that move inside virtual indoor spaces.
- How AI interprets objects, rooms, and layouts for navigation.
- How to replicate real-world environments for learning tasks.
What the output will be:
You’ll design a demo where an AI agent navigates through a simulated house, office, or school environment.
What you can do after completing it:
You’ll be able to create AR navigation systems for smart homes, museums, or training applications.
AI for Environmental Interaction
Autonomous Driving Simulation
What you will learn:
- How AI learns to drive inside realistic 3D simulations.
- How to handle scenarios like traffic, pedestrians, and weather changes.
- How to apply computer vision for safe vehicle navigation.
What the output will be:
You’ll create a simulated driving demo where an AI vehicle navigates roads while reacting to obstacles and signals.
What you can do after completing it:
You’ll be able to design AR-assisted driver training apps, smart city simulations, or mobility research projects.
AI for Environmental Interaction
Realistic 3D Environments for AI
What you will learn:
- How AI interacts with high-detail 3D spaces for learning.
- How to combine computer vision and physical simulation.
- How AI adapts to new environments with minimal training.
What the output will be:
You’ll generate a demo where AI agents explore and interact with complex 3D environments.
What you can do after completing it:
You’ll be able to design AR/VR experiments, robotics research tools, or immersive training platforms.
AI for Environmental Interaction
Robotics & Industrial Simulation
What you will learn:
- How AI and robotics are trained in simulation before real-world deployment.
- How to simulate sensors, movements, and object manipulation.
- How to test collaborative robots (cobots) in virtual factories or warehouses.
What the output will be:
You’ll build a robotics simulation where a robot arm or agent performs tasks like picking, sorting, or assembling.
What you can do after completing it:
You’ll be able to design AR-integrated robotics solutions for manufacturing, logistics, or autonomous machines.
Open Source AR Frameworks
Introduction to Open AR Development
What you will learn:
- How open-source AR frameworks work and why they’re flexible.
- How to set up a basic AR project with minimal resources.
- How to experiment with marker-based and markerless AR.
What the output will be:
You’ll build a simple AR demo where a digital object appears when scanning a marker or pointing a camera.
What you can do after completing it:
You’ll be able to create entry-level AR apps without licensing costs, perfect for learning and experimenting.
Open Source AR Frameworks
Cross-Platform AR with Open Source Tools
What you will learn:
- How to build AR apps that run on multiple devices.
- How to use open-source libraries for image tracking and recognition.
- How to customize AR workflows for different projects.
What the output will be:
You’ll design an AR experience that works across devices like laptops, mobiles, and AR headsets.
What you can do after completing it:
You’ll be able to create flexible AR apps for classrooms, events, or small businesses.
Open Source AR Frameworks
Browser-Based AR
What you will learn:
- How to run AR directly in a web browser without downloads.
- How to link AR experiences to QR codes or simple links.
- How to combine 3D models with live camera feeds online.
What the output will be:
You’ll build a browser-based AR demo where scanning a QR code launches a live AR scene.
What you can do after completing it:
You’ll be able to design AR campaigns, educational cards, or marketing posters accessible instantly from the web.
Open Source AR Frameworks
Lightweight AR SDKs
What you will learn:
- How lightweight AR frameworks speed up development.
- How to integrate tracking and rendering features with ease.
- How to balance simplicity and functionality in AR apps.
What the output will be:
You’ll create a mobile AR demo with quick setup and smooth object tracking.
What you can do after completing it:
You’ll be able to rapidly prototype AR apps for presentations, product showcases, or creative projects.
Open Source AR Frameworks
Scalable AR Development
What you will learn:
- How to build advanced AR apps with open-source SDKs.
- How to scale projects for larger deployments.
- How to optimize tracking and rendering for performance.
What the output will be:
You’ll produce a robust AR demo that combines image recognition, 3D overlays, and interactivity.
What you can do after completing it:
You’ll be able to create scalable AR solutions for education, retail, exhibitions, or enterprise projects.
AI in Retail & Commerce AR
AI for Customer Support in AR
What you will learn:
- How AI and AR combine to provide guided customer support.
- How to overlay instructions on real-world objects for troubleshooting.
- How to enhance customer service with interactive AR assistance.
What the output will be:
You’ll build a demo where AR overlays guide a customer through product setup or repair.
What you can do after completing it:
You’ll be able to design AR-based support solutions for retail, electronics, or home appliances.
AI in Retail & Commerce AR
Identity & Security in AR Commerce
What you will learn:
- How AI ensures secure transactions in AR shopping.
- How to use facial and document recognition for identity checks.
- How to integrate verification into AR-based commerce apps.
What the output will be:
You’ll create a demo where users can verify their identity before accessing AR-based shopping or payments.
What you can do after completing it:
You’ll be able to develop secure AR platforms for banking, e-commerce, or digital onboarding.
AI in Retail & Commerce AR
Virtual Try-On Experiences
What you will learn:
- How AR enables customers to try products like clothes, eyewear, or furniture virtually.
- How AI adjusts fit, color, and size to match the user’s body or space.
- How try-ons boost customer confidence and reduce returns.
What the output will be:
You’ll design an AR try-on demo where users can see a product (like shoes or furniture) in real time before buying.
What you can do after completing it:
You’ll be able to create AR shopping experiences for fashion, cosmetics, and interior design.
AI in Retail & Commerce AR
AR Commerce Platforms
What you will learn:
- How to build immersive virtual showrooms for retail.
- How to integrate AR product catalogs with online stores.
- How AI tracks customer interactions for insights.
What the output will be:
You’ll build a demo showroom where multiple products can be placed, compared, and purchased via AR.
What you can do after completing it:
You’ll be able to design virtual retail stores for malls, real estate, or brand showcases.
AI in Retail & Commerce AR
Web-Based AR Shopping Experiences
What you will learn:
- How to deliver AR shopping through browsers with no app downloads.
- How to integrate product visualization directly into e-commerce sites.
- How AI personalizes the shopping journey with recommendations.
What the output will be:
You’ll create a browser-based AR demo where users can preview and interact with products before checkout.
What you can do after completing it:
You’ll be able to launch AR commerce campaigns for brands, making products shoppable directly via mobile web links.
Ethics and Accessibility in AR
Fairness in AI for AR
What you will learn:
- How bias in AI can affect AR experiences.
- How to detect and reduce unfair treatment in algorithms.
- How to design AR applications that work equally well for all groups.
What the output will be:
You’ll create a simple AR demo that shows how fairness checks can prevent bias in object or face recognition.
What you can do after completing it:
You’ll be able to design AR systems that are inclusive and unbiased across diverse audiences.
Ethics and Accessibility in AR
Human-Centered AR Design
What you will learn:
- How to design AR applications that prioritize user needs.
- How to build AR with transparency and explainability.
- How to balance AI decision-making with human control.
What the output will be:
You’ll design a prototype where AR clearly explains how decisions are made (e.g., why a certain object is recommended).
What you can do after completing it:
You’ll be able to create trustworthy AR experiences that users understand and feel safe using.
Ethics and Accessibility in AR
Bias Detection and Mitigation in AR Systems
What you will learn:
- How to test AR applications for hidden bias.
- How to evaluate datasets used in AR-driven AI models.
- How to apply fairness metrics to AR experiences.
What the output will be:
You’ll create a report showing how fairness analysis improves the reliability of an AR model.
What you can do after completing it:
You’ll be able to audit AR applications and ensure compliance with fairness standards.
Ethics and Accessibility in AR
Social Impact of AR + AI
What you will learn:
- How AR and AI technologies affect privacy, equity, and communities.
- How to evaluate risks of misuse in AR systems.
- How to integrate ethical guidelines into AR development.
What the output will be:
You’ll produce a case study showing both the positive and negative impacts of an AR application.
What you can do after completing it:
You’ll be able to design socially responsible AR solutions and advise teams on ethical practices.
Ethics and Accessibility in AR
Fairness in Machine Learning for AR
What you will learn:
- How to apply fairness techniques during AR model training.
- How to monitor outcomes across different user groups.
- How to continuously improve AR models for inclusivity.
What the output will be:
You’ll build a demo where an AR system adapts equally well to users from different backgrounds.
What you can do after completing it:
You’ll be able to integrate fairness, accessibility, and inclusivity directly into the AR development lifecycle.
Capstone Project
Building AR Experiences with No-Code Tools
What you will learn:
- How to design AR apps without coding.
- How to drag, drop, and configure elements into interactive AR experiences.
- How to rapidly prototype ideas for testing.
What the output will be:
You’ll create a working AR demo (like a virtual try-on or educational AR card) entirely with no-code tools.
What you can do after completing it:
You’ll be able to quickly prototype AR ideas for clients, classrooms, or hackathons without deep programming skills.
Capstone Project
Combining Multiple AI + AR Tools
What you will learn:
- How to integrate AI-driven features (like gesture recognition or voice input) into AR apps.
- How to blend mapping, filters, and analytics in a single project.
- How to connect different platforms for a seamless workflow.
What the output will be:
You’ll design an AR app that merges multiple features, such as gesture controls, real-time analytics, and 3D object placement.
What you can do after completing it:
You’ll be able to create richer, multi-functional AR applications for business, education, or entertainment.
Capstone Project
Cloud-Based AI Workflows for AR
What you will learn:
- How to connect AR apps with cloud-based AI services.
- How to scale projects for larger audiences with cloud processing.
- How to manage data, storage, and collaboration in the cloud.
What the output will be:
You’ll build an AR experience powered by cloud AI, capable of handling real-time interactions at scale.
What you can do after completing it:
You’ll be able to design enterprise-ready AR systems that integrate with cloud services for speed and scalability.
Capstone Project
Presenting & Sharing AR Projects
What you will learn:
- How to prepare AR projects for presentations and demos.
- How to package AR experiences for mobile, web, or headset delivery.
- How to create engaging showcases for different audiences.
What the output will be:
You’ll prepare a polished demo presentation of your AR project, ready to share with peers, mentors, or clients.
What you can do after completing it:
You’ll be able to pitch your AR ideas effectively to investors, employers, or institutions.
Capstone Project
Peer Review & Showcase
What you will learn:
- How to evaluate AR projects through peer feedback.
- How to refine projects based on reviews and testing.
- How to present final projects in a showcase environment.
What the output will be:
You’ll deliver a final AR capstone project, tested, reviewed, and ready for real-world application.
What you can do after completing it:
You’ll have a portfolio-ready AR project to showcase your expertise in AI + AR, helping you stand out in job applications, freelancing, or entrepreneurship.
Learning Tools & Platforms Used
Participants will engage with immersive AR simulations, real-time 3D object interactions, gesture-controlled environments, voice-enabled AR assistants, and visual storytelling modules. These tools provide a hands-on learning ecosystem, allowing learners to design, test, and deploy AR experiences across multiple devices. Each platform emphasizes accessibility, creativity, and practical applications, ensuring learners understand how AR enhances education, retail, entertainment, healthcare, and collaborative spaces.
📈 Learning Outcomes
By the end of this course, learners will:
By the end of each unit, learners will be able to:
Develop a strategic perspective on integrating AR into personal projects, businesses, or enterprise-level systems.
Understand how AR is transforming industries through immersive and interactive experiences.
Identify key AR applications and their practical use cases in education, healthcare, retail, design, and entertainment.
Design and interpret AR-driven interactions for enhanced learning, visualization, and engagement.
Apply AR principles to create accessible, creative, and scalable solutions for real-world challenges.
Duration:
Course Duration
Each unit is designed to be completed within 2 to 3 hours, making it accessible for working professionals, students, and creators alike. The structure allows for self-paced progression while offering flexibility to revisit and practice immersive AR concepts as needed.
• Doubt-Clearing Support:
After the main class, learners can schedule a 30-minute remote session (via TeamViewer, Zoom, 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 AR-driven world.
Concept Explainer Module (20 minutes) – Animated lessons or narrated slides covering core AR principles and workflows.
Use Case Demonstration (20 minutes) – Step-by-step walkthrough of real-world AR applications across industries.
Interactive Simulation (30 minutes) – Hands-on AR activity where learners design or interact with virtual objects in real-time scenarios.
Case Study Review (15 minutes) – Analysis of a successful AR project, highlighting challenges, solutions, and takeaways.
Quiz & Reflection (15 minutes) – Short assessment to reinforce learning, followed by reflective prompts on applying AR in personal or professional contexts.
Action Plan Template (Optional) – A downloadable worksheet for planning AR-based projects, campaigns, or solutions.
Course Price & Structure
Price per Unit: ₹499 only
Each unit is designed as an affordable, standalone module. Learners can choose any unit that matches their creative interests—such as gesture recognition, 3D object tracking, AR storytelling, or interactive simulations—without needing to commit to the entire program.
Multiple Enrollments:
You can enroll in multiple units based on your learning goals. Each unit is structured independently, allowing you to mix and match topics (e.g., AR filters + markerless AR + AR for education) to build a personalized learning path.
Bundle Offers:
For learners eager to explore more, attractive bundle options are available:
- 3 Units for ₹1,299 (Save ₹198)
- 9 Units for ₹3,999 (Save ₹488)