Courses AI certifications (AI CERTs®)

AI+ Video Practitioner™

  • Price 109 EUR + VAT
  • E-learning Start any time
  • Duration 8 hours of content, self-paced
  • Language English
  • Topic AI Design & Creative

How you can take it

  • E-learning Start any time · 109 EUR + VAT Order
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Overview

What the course covers

The course, the materials and the exam are in English. The description below is the original AI CERTs® text.

  • 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

Prerequisites

Basic Video Editing Skills, Understanding of AI Concepts, Familiarity with Data Analytics, Experience with Content Creation.

Audience

Who is it for

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.

In the price

What the price includes

  • Self-paced online course with the full learning material
  • The official AI CERTs® exam
  • Digital badge after passing the exam

Course content

Syllabus

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

Exam

About the exam

  • 50 Questions
  • 90 min Time limit
  • 70% Pass mark
  • Online proctored exam

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