AI+ Video™

  • 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
Enroll Now
AI+ Video™
Self-Paced: $195
Instructor-Led: $295

At a Glance: Course + Exam Overview

Category AI Design & Creative, AI Professional, All Courses, Available Now, English, Language, Video Production Specialist
Program Name AI+ Video™
Duration Instructor-Led:1 day (live or virtual) | Self-Paced:8 Hours (1 Day)
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 Format 50 questions, 70% passing, 90 minutes, online proctored exam

What You'll Learn

AI-Enhanced Video Creation

Learn how to use machine learning and computer vision to automate editing, compositing, and content generation.

Intelligent Visual Effects

Understand how AI tools power motion tracking, object recognition, and real-time VFX integration in video production.

Generative Video Techniques

Explore how generative models create dynamic visuals, synthetic scenes, and AI-assisted storytelling.

Driven Storytelling

Discover how to analyze visual data and apply insights to craft more engaging and personalized video content.

End-to-End Workflow Integration

Master the use of AI across every stage of video production—from pre-visualization to post-production and distribution.

Certification Modules

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 Framework
  • 1.4 Use Case: AI-enhanced Video Compression for Streaming Platforms
  • 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 using Video Footage
  • 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 to Detect and Track Objects

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 Videos
  • 4.6 Hands-On: Generate a Deepfake or AI Avatar using AKOOL, and Explore Face Alignment and Identity Swapping

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 Black-and-White Footage.
  • 5.6 Hands-On: Use AI4Video to Enhance a Sample Low-Resolution Black-and-White Video and Visualize Improvement

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 Visuals.
  • 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 Behavior Tracking
  • 7.6 Hands-On: Implement Facial Detection and Access Control Simulation using OpenCV and a Basic Recognition Model

Module 8: Future of AI+ Video

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

Finish the course and get certified

Course Certificate

Industry Opportunities

AI Video Engineer

Develop intelligent video systems that enhance image quality, automate editing, and create adaptive, real-time visual experiences across platforms.

Video Data Scientist

Analyze visual data to build predictive models for content recommendation, scene recognition, and audience engagement optimization.

AI Motion Designer

Design AI-driven animations and effects, automate compositing and rendering, and produce dynamic visuals for films, games, and digital media.

Chief Video Innovation Officer (CVIO)

Lead the evolution of AI in visual media by driving innovation in intelligent production, personalized content, and next-generation video experiences.

Frequently Asked Questions

Prerequisites

Exam Details

Passing Score

70%

Format

50 multiple-choice/multiple-response questions

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%
Self-Paced Online

Self-Paced Online: 8 Hours (1 Day)

Price: $195

Instructor-Led Online

Instructor-Led Online: 1 day (live or virtual)

Price: $295

Core AI Tools Covered