AI+ Video™

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  • Course level: Intermediate

About Course

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

Description

About This Course

  • 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

Course Modules

Module 1: Foundation of AI in Video Integration

  1. 1.1 Basics of Video Processing
  2. 1.2 Introduction to AI in Video
  3. 1.3 Toolkits and Framework
  4. 1.4 Use Case: AI-enhanced Video Compression for Streaming Platforms
  5. 1.5 Case Study: YouTube’s AI-Driven Transcoding System

Module 2: Preparing Video Data for AI

  1. 2.1 Data Preparation for AI Models
  2. 2.2 Preprocessing and Augmenting Frames
  3. 2.3 Storage and Workflow Management
  4. 2.4 Use Case: Building AI-ready Video Datasets for Autonomous Driving Applications
  5. 2.5 Case Study: Tesla’s In-house Pipeline for Labeling Driving Scenarios across Multiple Geographies using Video Footage
  6. 2.6 Hands-On: Video Annotation using CVAT Tool, and Organizing them for Model Training

Module 3: Machine Learning for Video Analysis

  1. 3.1 Video Classification and Tagging
  2. 3.2 Object Detection and Movement Tracking
  3. 3.3 Action and Behavior Recognition
  4. 3.4 Use Case: Smart Surveillance Systems Detecting Abandoned Objects in Real Time
  5. 3.5 Case Study: Dubai Smart City’s AI Implementation for Object Recognition
  6. 3.6 Hands-On: Train YOLOv8 on Sample Security Footage to Detect and Track Objects

Module 4: Generative AI in Video

  1. 4.1 Generating Synthetic Video with GANs
  2. 4.2 AI-Driven Animation and Avatars
  3. 4.3 Ethical Use of Generative Content
  4. 4.4 Use Case: Auto-Generation of Product Explainer Videos using Avatars and Synthesized Narration
  5. 4.5 Case Study: Synthesia’s Solution Enabling Businesses to Create AI-Driven Training and Marketing Videos
  6. 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

  1. 5.1 Super-Resolution and Restoration
  2. 5.2 Real-Time Video Enhancement
  3. 5.3 Making Video More Inclusive
  4. 5.4 Use Case: Streaming Platforms using AI to Enhance Resolution and Reduce Latency for Mobile Users.
  5. 5.5 Case Study: DeOldify’s Impact in Reviving Historical Video Archives by Upscaling and Colorizing Black-and-White Footage.
  6. 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

  1. 6.1 AI in AR and Mixed Reality
  2. 6.2 Intelligent Video Editing
  3. 6.3 Viewer Engagement & Adaptation
  4. 6.4 Use Case: Live Sports Broadcasters using AR to Overlay Player Stats during Gameplay
  5. 6.5 Case Study: NFL and AWS Collaboration to Deliver Real-Time Performance Insights via Augmented Visuals.
  6. 6.6 Hands-On: Creating a Highlight Video from a Video Clip using Clipchamp

Module 7: AI in Video Surveillance and Compliance

  1. 7.1 Security and Monitoring Systems
  2. 7.2 Automated Content Moderation
  3. 7.3 Addressing Privacy and Ethics
  4. 7.4 Use Case: Automated Real-Time Access Control in Corporate Offices Using Facial Authentication.
  5. 7.5 Case Study: Amazon Go’s Cashier-less Stores Using Computer Vision for Security and Consumer Behavior Tracking
  6. 7.6 Hands-On: Implement Facial Detection and Access Control Simulation using OpenCV and a Basic Recognition Model

Module 8: Future of AI+ Video

  1. 8.1 Trends and Emerging Technologies
  2. 8.2 AI Applications by Industry
  3. 8.3 Careers and Professional Growth

AI Tools You’ll Learn

TensorFlow

TensorFlow

PyTorch

PyTorch

OpenCV

OpenCV

MediaPipe

MediaPipe

Runway ML

Runway ML

Synthesia Studio

Synthesia Studio

DeepFaceLab

DeepFaceLab

Adobe Sensei

Adobe Sensei

DaVinci Resolve Neural Engine

DaVinci Resolve Neural Engine

Runway Gen-2

Runway Gen-2

Pika Labs

Pika Labs

Kaiber AI

Kaiber AI

DeepBrain AI Studio

DeepBrain AI Studio

NVIDIA Maxine SDK

NVIDIA Maxine SDK

Google Video AI API

Google Video AI API

FFmpeg Automation Tools

FFmpeg Automation Tools

Unreal Engine with AI Plugins

Unreal Engine with AI Plugins

Blender AI Add-ons

Blender AI Add-ons

Stability Video Diffusion

Stability Video Diffusion

Generative Video Editing Tools

Generative Video Editing Tools

What Will I Learn?

  • Exam Format
  • 50 questions, 70% passing, 90 minutes, online proctored exam

About the instructor

0 (0 ratings)

70 Courses

8 students

AIC_AI-Video
$99.00

Material Includes

  • Included
  • Instructor-led OR Self-paced course + Official exam + Digital badge

Requirements

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

Target Audience

  • Duration
  • Instructor-Led: 1 day (live or virtual)
  • Self-Paced: 8 hours of content
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