AI+ Video™

Target group

Video Creators and Editors: Professionals looking to integrate AI tools to automate editing, enhance visuals, and speed up production.

Filmmakers and Producers: Those aiming to explore intelligent video generation, virtual production, and data-driven storytelling.

Content Creators and Influencers: Individuals seeking to elevate their visual content with AI-powered creativity and personalized video experiences.

Designers and Animators: Creatives who want to merge motion design with AI-driven effects and smart visual enhancements.

Tech Enthusiasts and Innovators: Learners eager to understand how AI is transforming the future of video creation and media technology.

Course structure

Module 1: Foundation of AI in Video Integration

1. 1.1 Basics of Video Processing
2. 1.2 Introduction to AI in Video
3. 1.3 Toolkits and Framework
4. 1.4 Use Case: AI-enhanced Video Compression for Streaming Platforms
5. 1.5 Case Study: YouTube’s AI-Driven Transcoding System

Module 2: Preparing Video Data for AI

1. 2.1 Data Preparation for AI Models
2. 2.2 Preprocessing and Augmenting Frames
3. 2.3 Storage and Workflow Management
4. 2.4 Use Case: Building AI-ready Video Datasets for Autonomous Driving Applications
5. 2.5 Case Study: Tesla’s In-house Pipeline for Labeling Driving Scenarios across Multiple Geographies using Video Footage
6. 2.6 Hands-On: Video Annotation using CVAT Tool, and Organizing them for Model Training

Module 3: Machine Learning for Video Analysis

1. 3.1 Video Classification and Tagging
2. 3.2 Object Detection and Movement Tracking
3. 3.3 Action and Behavior Recognition
4. 3.4 Use Case: Smart Surveillance Systems Detecting Abandoned Objects in Real Time
5. 3.5 Case Study: Dubai Smart City’s AI Implementation for Object Recognition
6. 3.6 Hands-On: Train YOLOv8 on Sample Security Footage to Detect and Track Objects

Module 4: Generative AI in Video

1. 4.1 Generating Synthetic Video with GANs
2. 4.2 AI-Driven Animation and Avatars
3. 4.3 Ethical Use of Generative Content
4. 4.4 Use Case: Auto-Generation of Product Explainer Videos using Avatars and Synthesized Narration
5. 4.5 Case Study: Synthesia’s Solution Enabling Businesses to Create AI-Driven Training and Marketing Videos
6. 4.6 Hands-On: Generate a Deepfake or AI Avatar using AKOOL, and Explore Face Alignment and Identity Swapping

Module 5: Enhancing Video with AI

1. 5.1 Super-Resolution and Restoration
2. 5.2 Real-Time Video Enhancement
3. 5.3 Making Video More Inclusive
4. 5.4 Use Case: Streaming Platforms using AI to Enhance Resolution and Reduce Latency for Mobile Users.
5. 5.5 Case Study: DeOldify’s Impact in Reviving Historical Video Archives by Upscaling and Colorizing Black-and-White Footage.
6. 5.6 Hands-On: Use AI4Video to Enhance a Sample Low-Resolution Black-and-White Video and Visualize Improvement

Module 6: Interactive and Immersive AI Video

1. 6.1 AI in AR and Mixed Reality
2. 6.2 Intelligent Video Editing
3. 6.3 Viewer Engagement & Adaptation
4. 6.4 Use Case: Live Sports Broadcasters using AR to Overlay Player Stats during Gameplay
5. 6.5 Case Study: NFL and AWS Collaboration to Deliver Real-Time Performance Insights via Augmented Visuals.
6. 6.6 Hands-On: Creating a Highlight Video from a Video Clip using Clipchamp

Module 7: AI in Video Surveillance and Compliance

1. 7.1 Security and Monitoring Systems
2. 7.2 Automated Content Moderation
3. 7.3 Addressing Privacy and Ethics
4. 7.4 Use Case: Automated Real-Time Access Control in Corporate Offices Using Facial Authentication.
5. 7.5 Case Study: Amazon Go’s Cashier-less Stores Using Computer Vision for Security and Consumer Behavior Tracking
6. 7.6 Hands-On: Implement Facial Detection and Access Control Simulation using OpenCV and a Basic Recognition Model

Module 8: Future of AI+ Video

1. 8.1 Trends and Emerging Technologies
2. 8.2 AI Applications by Industry
3. 8.3 Careers and Professional Growth

Certification

50 questions, 70% passing, 90 minutes, online proctored exam