AI in
Media & Entertainment
Create. Edit. Engage.
Course Objective
This course introduces learners to how AI is transforming content creation, editing, distribution, and audience engagement across the media and entertainment industry. From AI-generated videos to smart audience analytics, learners will gain hands-on exposure to tools that power today’s digital storytelling.
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Module 1:
Foundations of AI in Media & Entertainment
- Topics:
- History of AI in media: From predictive analytics to production
- Key trends: Automation, personalization, synthetic media
- Industry examples (Netflix, Disney, Spotify, Instagram)
- Understanding basic AI concepts (ML, NLP, CV) with media relevance
- Learning Activity:
- Create a mind-map of how AI is used in 5 different content platforms.
- Tools Used:
- ChatGPT, Google Bard
- Notion, Canva
Module 2: AI Scriptwriting & Storyboarding
- Topics:
- Writing ad copy, video scripts, and storytelling prompts using AI
- Brainstorming video ideas using tools like ChatGPT & Jasper
- Creating storyboards with AI visual tools
- Learning Activity:
- Generate a 1-minute short film script using ChatGPT, and visualize it using Tome or Canva.
- Tools Used:
- ChatGPT, Jasper, Tome, Canva Magic Design
Module 3: AI Image & Video Editing
- Topics:
- AI for editing photos/videos: Background removal, object replacement, filters
- Scene detection, face correction, upscaling, auto cut
- Intro to generative video editing
- Learning Activity:
- Edit a raw video clip using Runway ML or CapCut AI features.
- Tools Used:
- Runway ML, Pictory, CapCut, Canva AI
Module 4: Voiceovers, Dubbing & AI Music Creation
- Topics:
- Creating voiceovers using AI voices (ElevenLabs, Murf)
- Translating and dubbing for multiple languages
- Generating music with AI composers
- Audio cleanup and soundtrack editing
- Learning Activity:
- Create an AI-generated voiceover ad for a product and add AI music.
- Tools Used:
- ElevenLabs, Soundraw, LALAL.ai, Descript
Module 5:
AI-Powered Video Creation from Text
- Topics:
- Turning blogs/text into videos using AI
- Creating videos using avatars (Synthesia, InVideo)
- Branding with automated intros/outros
- Subtitles, transitions, animations
- Learning Activity:
- Make a 60-second AI avatar explainer video from a blog post.
- Tools Used:
- Pictory, InVideo, Synthesia, Lumen5
Module 6:
AI Content Distribution & Growth
- Topics:
- How AI ranks and recommends content (YouTube, TikTok algorithms)
- Optimizing thumbnails, captions, and hashtags using AI
- Predicting content success using AI
- Learning Activity:
- Use TubeBuddy or VidIQ to analyze and improve your YouTube content.
- Tools Used:
- TubeBuddy, VidIQ, Jasper AI, Canva AI
Module 7:
Audience Analysis & Engagement
- Topics:
- Understanding audience retention and watch time
- Segmenting users and personalizing recommendations
- AI for sentiment analysis in comments
- Tools for influencer performance & engagement
- Learning Activity:
- Analyze a video’s engagement using TubeBuddy and prepare an AI-based optimization strategy.
- Tools Used:
- ChatGPT, Google Trends, Google Analytics, Jasper
Module 8:
Ethics, Deepfakes & Creative Integrity
- Topics:
- What are deepfakes and synthetic media?
- Copyright vs creativity: Who owns AI-made content?
- Transparency, disclosure & content authenticity
- Navigating legal boundaries
- Learning Activity:
- Debate: “Should AI-generated actors be allowed in mainstream cinema?”
- Tools Used:
- Synthesia Ethics Library, YouTube AI Policy, Meta AI Guidelines
Learning Tools & Platforms Used
| Category | Tools Used |
| Script & Story | ChatGPT, Jasper, Tome, Canva AI |
| Image/Video Edit | Pictory, Runway ML, CapCut AI, Canva Magic |
| Voice & Music | ElevenLabs, Murf, Soundraw, LALAL.ai, Descript |
| Video Automation | Synthesia, InVideo, Lumen5 |
| Optimization | TubeBuddy, VidIQ, Jasper, Google Analytics, Notion |
📈 Learning Outcomes
By the end of this course, learners will:
- ✅ After completing this course, learners will be able to:
- ✅ Understand how AI is used in modern content creation
- ✅ Create scripts, visuals, and music with AI tools
- ✅ Edit and produce video content with minimal effort
- ✅ Use AI to distribute and optimize videos across platforms
- ✅ Understand viewer behavior and adapt strategies
- ✅ Apply ethical principles in AI media production
- ✅ Build a final portfolio project suitable for sharing or freelancing
Duration:
| Section | Details |
| Total Duration | 6 Weeks (Flexible) |
| Weekly Commitment | 4–5 hours/week |
| Learning Hours | ~30 hours total |
| Project Time | Included in modules |
| Live Sessions | 3 Optional mentorship sessions |