Opleiding: 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

• 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

• 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

• 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 YOLO on Sample Security Footage to Detect and Track Objects

• 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

• 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

• 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

• 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

• 8.1 Trends and Emerging Technologies
• 8.2 AI Applications by Industry
• 8.3 Careers and Professional Growth

• TensorFlow
• PyTorch
• OpenCV
• MediaPipe
• Runway ML
• Synthesia Studio
• DeepFaceLab
• Adobe Sensei
• DaVinci Resolve Neural Engine
• Runway
• 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

Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam

Access to all materials and exams is provided for 365 days after delivery.