AI+ Video™ eLearning

Embrace the future of AI in video to inspire innovation and craft immersive visual experiences

* Beginner-Friendly Pathway: A perfect starting point for learners exploring AI-driven video creation, editing, and automation
* End-to-End Mastery: Covers AI video fundamentals, advanced tools, generative video workflows, and responsible content creation
* Industry-Aligned Skills: Understand how AI video technologies shape marketing, education, entertainment, and business communication
* Practical Execution: Provides guided exercises, templates, and workflows to help you produce professional-quality AI-powered videos confidently

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 Framework
* 1.4 Use Case: AI-enhanced Video Compression for Streaming Platforms
* 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 using Video Footage
* 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 to Detect and Track Objects 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 Videos
* 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

* 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 Black-and-White Footage.
* 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

* 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 Visuals.
* 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 Behavior Tracking
* 7.6 Hands-On: Implement Facial Detection and Access Control Simulation using OpenCV and a Basic Recognition Model Module 8: Future of AI+ Video

* 8.1 Trends and Emerging Technologies
* 8.2 AI Applications by Industry
* 8.3 Careers and Professional Growth Tools you will explore

* TensorFlow
* PyTorch
* OpenCV
* MediaPipe
* Runway ML
* Synthesia Studio
* DeepFaceLab
* Adobe Sensei
* DaVinci Resolve Neural Engine
* Runway Gen-2
* Pika Labs
* Kaiber AI
* DeepBrain AI Studio
* NVIDIA Maxine SDK
* Google Video AI API
* FFmpeg Automation Tools
* Unreal Engine with AI Plugins
* Blender AI Add-ons
* Stability Video Diffusion
* Generative Video Editing Tools

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

Instructor-led OR Self-paced course + Official exam + Digital badge