AI+ Video™ – Course Outline
Program Overview
The AI+ Video™ certification is designed to provide learners with practical knowledge and hands-on skills in Artificial Intelligence (AI) applications for video production, editing, automation, and content creation. The course explores how AI technologies are transforming the video industry through intelligent editing systems, automated visual effects, speech synthesis, generative media, content personalization, and AI-assisted storytelling.
Participants will gain an understanding of both creative and technical aspects of AI-powered video production, including machine learning for media processing, generative AI tools, computer vision, deepfake technologies, video analytics, and AI-enhanced post-production workflows. The program combines theory, demonstrations, and practical exercises to help learners create professional AI-assisted video content.
Course Objectives
By the end of this course, participants will be able to:
• Understand the fundamentals of AI in video production and media technologies
• Explore AI-powered video editing and automation tools
• Apply computer vision techniques in video analysis and enhancement
• Use generative AI for video creation, animation, and storytelling
• Implement AI-based audio synchronization and speech generation
• Develop AI-assisted workflows for post-production and content optimization
• Analyze ethical considerations related to synthetic media and deepfakes
• Create AI-enhanced video projects using modern AI tools and platforms
Target Audience
• Video editors and content creators
• Filmmakers and media professionals
• Digital marketing specialists
• Motion graphics designers and animators
• Social media content creators
• AI/ML practitioners interested in media applications
• Students pursuing media production or AI technologies
• Professionals in digital entertainment and broadcasting
Course Duration
- Instructor-Led: 1 day (live or virtual)
- Self-Paced: 8 hours of content
Assessment & Certification
• Module-based quizzes and assessments
• Practical AI video editing exercises
• Case study analysis
• Hands-on project submissions
• Final capstone AI video production project
Certification:
Participants will receive the AI+ Video™ Certification upon successful completion.
Training Methodology
• Instructor-led sessions (virtual/classroom)
• AI video production demonstrations
• Hands-on editing and automation labs
• Project-based assignments
• Interactive case studies and discussions
Course Modules
Module 1: Foundation of AI in Video Integration
• Basics of video processing
• Introduction to AI in video
• Toolkits and frameworks
• Use case: AI-enhanced video compression for streaming platforms
• Case study: YouTube’s AI-driven transcoding system
Module 2: Preparing Video Data for AI
• Data preparation for AI models
• Preprocessing and augmenting frames
• Storage and workflow management
• Use case: Building AI-ready video datasets for autonomous driving applications
• Case study: Tesla’s in-house pipeline for labeling driving scenarios across multiple geographies using video footage
• Hands-on: Video annotation using CVAT tool and organizing datasets for model training
Module 3: Machine Learning for Video Analysis
• Video classification and tagging
• Object detection and movement tracking
• Action and behavior recognition
• Use case: Smart surveillance systems detecting abandoned objects in real time
• Case study: Dubai Smart City’s AI implementation for object recognition
• Hands-on: Train YOLOv8 on sample security footage to detect and track objects
Module 4: Generative AI in Video
• Generating synthetic video with GANs
• AI-driven animation and avatars
• Ethical use of generative content
• Use case: Auto-generation of product explainer videos using avatars and synthesized narration
• Case study: Synthesia’s AI-driven training and marketing video solutions
• Hands-on: Generate a deepfake or AI avatar using AKOOL and explore face alignment and identity swapping
Module 5: Enhancing Video with AI
• Super-resolution and restoration
• Real-time video enhancement
• Making video more inclusive using AI
• Use case: Streaming platforms using AI to enhance resolution and reduce latency for mobile users
• Case study: DeOldify’s impact in restoring and colorizing historical video archives
• Hands-on: Use AI4Video to enhance a low-resolution black-and-white video and visualize improvements
Module 6: Interactive and Immersive AI Video
• AI in augmented reality and mixed reality
• Intelligent video editing
• Viewer engagement and adaptive experiences
• Use case: Live sports broadcasters using AR overlays for player statistics during gameplay
• Case study: NFL and AWS collaboration for real-time augmented performance insights
• Hands-on: Creating a highlight video using Clipchamp
Module 7: AI in Video Surveillance and Compliance
• Security and monitoring systems
• Automated content moderation
• Privacy, ethics, and responsible AI practices
• Use case: Automated real-time access control using facial authentication
• Case study: Amazon Go’s cashier-less stores using computer vision for monitoring and behavior tracking
• Hands-on: Implement facial detection and access control simulation using OpenCV
Module 8: Future of AI+ Video
• Trends and emerging technologies
• AI applications across industries
• Careers and professional growth in AI video technologies
