Module 1: Foundation of AI in Video Integration

1.1 Basics of Video Processing

1.2 Introduction to AI in Video

1.3 Toolkits and Frameworks

1.4 AI-Enhanced Video Compression for Streaming

1.5 Case Study: YouTube’s AI-Driven Transcoding System

Module 2: Preparing Video Data for AI

2.1 Data Preparation for AI Models

2.2 Preprocessing and Augmenting Frames

2.3 Storage and Workflow Management

2.4 Use Case: Building AI-ready Video Datasets for Autonomous Driving Applications

2.5 Case Study: Tesla’s In-house Pipeline for Labeling Driving Scenarios Across Multiple Geographies

2.6 Hands-On: Video Annotation Using CVAT Tool and Organizing Them for Model Training

Module 3: Machine Learning for Video Analysis

3.1 Video Classification and Tagging

3.2 Object Detection and Movement Tracking

3.3 Action and Behavior Recognition

3.4 Use Case: Smart Surveillance Systems Detecting Abandoned Objects in Real Time

3.5 Case Study: Dubai Smart City’s AI Implementation for Object Recognition

3.6 Hands-On: Train YOLOv8 on Sample Security Footage

Module 4: Generative AI in Video

4.1 Generating Synthetic Video with GANs

4.2 AI-Driven Animation and Avatars

4.3 Ethical Use of Generative Content

4.4 Use Case: Auto-Generation of Product Explainer Videos Using Avatars and Synthesized Narration

4.5 Case Study: Synthesia’s Solution Enabling Businesses to Create AI-Driven Training and Marketing

4.6 Hands-On: Generate a Deepfake or AI Avatar Using AKOOL

Module 5: Enhancing Video with AI

5.1 Super-Resolution and Restoration

5.2 Real-Time Video Enhancement

5.3 Making Video More Inclusive

5.4 Use Case: Streaming Platforms Using AI to Enhance Resolution and Reduce Latency for Mobile Users

5.5 Case Study: DeOldify's Impact in Reviving Historical Video Archives by Upscaling and Colorizing

5.6 Hands-On: Use AI4Video to Enhance a Sample Low-Resolution Black-and-White Video and Visualize

Module 6: Interactive and Immersive AI Video

6.1 AI in AR and Mixed Reality

6.2 Intelligent Video Editing

6.3 Viewer Engagement & Adaptation

6.4 Use Case: Live Sports Broadcasters Using AR to Overlay Player Stats During Gameplay

6.5 Case Study: NFL and AWS Collaboration to Deliver Real-Time Performance Insights via Augmented

6.6 Hands-On: Creating a Highlight Video from a Video Clip Using Clipchamp

Module 7: AI in Video Surveillance and Compliance

7.1 Security and Monitoring Systems

7.2 Automated Content Moderation

7.3 Addressing Privacy and Ethics

7.4 Use Case: Automated Real-Time Access Control in Corporate Offices Using Facial Authentication

7.5 Case Study: Amazon Go’s Cashier-less Stores Using Computer Vision for Security and Consumer

7.6 Hands-On: Implement Facial Detection and Access Control Simulation Using OpenCV and A Basic

Module 8: Future of AI + Video

8.1 Trends and Emerging Technologies

8.2 AI Applications by Industry

8.3 Careers and Professional Growth