Creative & Design · Self-paced
AI+ Video™
Master AI-Powered Video Creation, Editing, and Production at Scale.
Executive summary
The AI+ Video certification provides professionals with the expertise to leverage artificial intelligence in video production, enhancing both the creation and analysis of content. It focuses on AI-driven tools for editing, personalization, and real-time video insights. Participants will gain proficiency in automating processes, improving video quality, and utilizing data to boost audience engagement. Additionally, the certification addresses ethical considerations, privacy concerns, and the evolving role of AI in the media landscape. Targeted at content creators, marketers, and technology professionals, this certification ensures participants are well-equipped to navigate the growing intersection of AI and video technology.
Built for these roles
Before you start
Basic Video Editing Skills: Familiarity with video editing software is essential.
Understanding of AI Concepts: Basic knowledge of artificial intelligence principles.
Familiarity with Data Analytics: Comfort with data-driven decision-making and analysis.
Experience with Content Creation: Hands-on experience in producing digital media.
One-time price
$110
8 hours, self-paced. Lifetime access, certificate included.
Certification exam included (limited attempts).
Secure checkout via Stripe. Instant access after payment.
Curriculum
What you'll cover.
8 hours of self-paced content. Work through it in order, on your schedule.
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 Frameworks
1.4 AI-Enhanced Video Compression for Streaming
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
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
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
4.6 Hands-On: Generate a Deepfake or AI Avatar Using AKOOL
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
5.6 Hands-On: Use AI4Video to Enhance a Sample Low-Resolution Black-and-White Video and Visualize
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
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
7.6 Hands-On: Implement Facial Detection and Access Control Simulation Using OpenCV and A Basic
Module 8: Future of AI + Video
8.1 Trends and Emerging Technologies
8.2 AI Applications by Industry
8.3 Careers and Professional Growth
Ready to get certified?
Start today, learn at your own pace, and add a globally recognised credential to your name.
Trusted by governments and enterprises across the GCC.