AI+ VideoTM

A certification that unlocks the future of AI in Video™ to reshape filmmaking, ignite creativity, and deliver immersive visual storytelling.

AI+ EducatorTM

A certification that empowers educators with AI-driven curriculum design, practical tools, and future-ready strategies to transform teaching and learning.

Why This Certification Matters?

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

Job Roles & Industry Outlook

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

Tools You’ll Master

Tools You’ll Master

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 
  • Access for Tablet & Phone

Self-Paced Online

● ~8 hours of on-demand video lessons, e-book, and podcasts
● Learn anywhere, anytime, with modular quizzes to track progress

Rp 1.621.000

Group Live Classes

● High-quality videos, e-book, and podcasts
● Join a scheduled, trainer-led online program with fellow learners.
● Supported by modular quizzes to track your progress.

Rp 6.000.000  →  Rp 5.500.000

Instructor-led Training

● High-quality videos, e-book, and podcasts
● Private, trainer-led program that starts immediately — set your own schedule, online or offline