Home » All Certifications » Design & Creative » AI+ Video™
$195.00
| Modules | Percentage |
|---|---|
| Foundations of AI in Video Integration | 7 |
| Preparing Video Data for AI | 15 |
| Machine Learning for Video Analysis | 15 |
| Generative AI in Video | 15 |
| Enhancing Video with AI | 12 |
| Interactive and Immersive AI Video | 12 |
| AI in Video Surveillance and Compliance | 12 |
| Future of AI+ Video | 12 |
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 Automatically Optimizes Video Quality based on Device and Internet conditions
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 and Suspicious Behavior Detection in Public Transport Hubs
3.6 Hands-On: Train YOLOv8 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 in Multiple Languages.
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
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Develop intelligent video systems that enhance image quality, automate editing, and create adaptive, real-time visual experiences across platforms.
Analyze visual data to build predictive models for content recommendation, scene recognition, and audience engagement optimization.
Design AI-driven animations and effects, automate compositing and rendering, and produce dynamic visuals for films, games, and digital media.
Oversee the integration of AI tools in production pipelines to streamline workflows, boost efficiency, and enhance creative outcomes.
Lead the evolution of AI in visual media by driving innovation in intelligent production, personalized content, and next-generation video experiences.