AI+ Video - eLearning (exam included)

Course timeline

1. Foundations of AI in Video

   Lesson 1

   • Learn the basics of video processing, AI integration, and essential toolkits.
   • Use Case: AI-enhanced video compression for streaming platforms.
   • Case Study: YouTube’s AI-driven transcoding system.

2. Preparing Video Data for AI

   Lesson 2

   • Data preparation, frame preprocessing, and workflow management for AI models.
   • Use Case: Creating AI-ready video datasets for autonomous driving.
   • Case Study: Tesla’s pipeline for labeling driving scenarios worldwide.
   • Hands-On: Annotate videos using CVAT and organize datasets for model training.

3. Machine Learning for Video Analysis

   Lesson 3

   • Video classification, object detection, movement tracking, and action recognition.
   • Use Case: Smart surveillance detecting abandoned objects in real time.
   • Case Study: Dubai Smart City’s AI object recognition implementation.
   • Hands-On: Train YOLOv8 on sample security footage to detect and track objects.

4. Generative AI in Video

   Lesson 4

   • Synthetic video creation with GANs, AI-driven animation, and avatars.
   • Use Case: Auto-generation of product explainer videos with AI avatars and narration.
   • Case Study: Synthesia’s AI-driven training and marketing video platform.
   • Hands-On: Generate AI avatars or deepfakes with AKOOL, exploring face alignment and identity swapping.

5. Enhancing Video with AI

   Lesson 5

   • Super-resolution, real-time video enhancement, and inclusive content creation.
   • Use Case: Streaming platforms enhancing resolution and reducing latency for mobile users.
   • Case Study: DeOldify’s restoration and colorization of historical videos.
   • Hands-On: Enhance low-resolution black-and-white videos with AI4Video.

6. Interactive and Immersive AI Video

   Lesson 6

   • AI in AR, mixed reality, intelligent editing, and adaptive viewer engagement.
   • Use Case: Live sports broadcasting with AR overlays for player stats.
   • Case Study: NFL and AWS collaboration for real-time performance insights.
   • Hands-On: Create highlight videos from clips using Clipchamp.

7. AI in Video Surveillance and Compliance

   Lesson 7

   • Security systems, automated content moderation, and privacy considerations.
   • Use Case: Real-time access control with facial authentication in corporate offices.
   • Case Study: Amazon Go’s cashier-less stores using computer vision for security and behavior tracking.
   • Hands-On: Implement facial detection and access control simulations using OpenCV.

8. Future of AI+ Video

   Lesson 8

   • Explore emerging trends, AI applications across industries, and career growth opportunities in AI video.