AI+ Video Practitioner™

  • From 200 EUR + VAT
  • Self-paced online Start anytime
  • Duration 8 hours of content, self-paced
  • Language English
  • Topic AI Design & Creative

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

Private training for your team?

Any of our courses can be delivered as a private, in-company training, tailored to your organisation, in English or Hungarian.

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