AI+ Video™

Embrace the future of AI in video to inspire innovation and craft immersive visual experiences

This course offers a beginner-friendly pathway for learners exploring AI-driven video creation, editing, and automation. It delivers end-to-end mastery by covering AI video fundamentals, advanced tools, generative video workflows, and responsible content creation practices. With an industry-aligned approach, participants gain insight into how AI video technologies are transforming marketing, education, entertainment, and business communication. Through practical execution, the course provides guided exercises, templates, and workflows to help learners confidently produce professional-quality AI-powered videos.

Enrollment Fee: 

MUR 5,980

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AI+ Video™

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

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
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
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

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)

Unlock Self-Paced Online Learning

  • Unlock Self-Paced Online Learning
  • Access learning anytime, anywhere, with built-in quizzes to measure progress.
  • Enrollment Fee: MUR 5,980
Enroll Now