AI+ Video™
AP 7011
Embrace the future of AI in Video™ to reimagine filmmaking, inspire innovation, and build immersive visual experiences.- Create, Capture, and Communicate with AI: Powerful, Creative, Future-Ready
- 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
Why This Certification Matters
At a Glance: Course + Exam Overview
- Instructor-Led: 1 day (live or virtual)
- Self-Paced: 8 hours of content
Who Should Enroll?
Video Creators and Editors – Professionals looking to integrate AI tools to automate editing, enhance visuals, and speed up production.
Filmmakers and Producers – Those aiming to explore intelligent video generation, virtual production, and data-driven storytelling.
Content Creators and Influencers – Individuals seeking to elevate their visual content with AI-powered creativity and personalized video experiences.
Designers and Animators – Creatives who want to merge motion design with AI-driven effects and smart visual enhancements.
Tech Enthusiasts and Innovators – Learners eager to understand how AI is transforming the future of video creation and media technology.
Skills You’ll Gain
- AI-Powered Video Editing
- Computer Vision and Scene Understanding
- Object Detection and Tracking
- Generative Video Creation
- Automated Color Grading and Enhancement
- Intelligent Motion Graphics Design
- Facial Recognition and Emotion Mapping
- AI-Driven Visual Effects (VFX)
- Adaptive Video Rendering for Interactive Media
- Real-Time Video Analysis and Optimization
What You'll Learn
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
Tools You'll 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
Prerequisites
- 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.
Exam Details
Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via proctored exam platform (flexible scheduling)
Exam Blueprint:
- 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%
Choose the Format That Fits Your Schedule
What’s Included (One-Year Subscription + All Updates):
- High-Quality Videos, E-book (PDF & Audio), and Podcasts
- AI Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Online Proctored Exam with One Free Retake
- Comprehensive Exam Study Guide
Instructor-Led (Live Virtual/Classroom)
- 1 day of intensive training with live demos
- Real-time Q&A, peer collaboration, and hands-on labs
- Led by AI Certified Trainers and delivered through Authorized Training Partners
Self-Paced Online
- ~8 hours of on-demand video lessons, e-book, podcasts, and interactive labs
- Learn anywhere, anytime, with modular quizzes to track progress
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Get CertifiedFrequently Asked Questions
Yes, you’ll gain hands-on experience with AI tools for video editing, visual effects, and content generation that can be immediately applied across industries like film, advertising, social media, and digital production.
This course uniquely blends AI with video production, focusing on generative visuals, intelligent editing systems, and adaptive storytelling that redefine how video content is created, enhanced, and personalized.
You’ll work on projects like AI-assisted video editing, automated scene detection, generative visual storytelling, and a capstone project focused on building an AI-powered video production tool or application.
The course integrates core theory with interactive labs, practical assignments, and real-world projects that help you apply AI in visual analysis, motion design, and intelligent video creation.
You’ll develop specialized AI and video technology skills that prepare you for roles such as AI Video Engineer, Motion Designer, Computer Vision Specialist, or Visual Content Strategist in film, media, and tech industries.