AI+ Video

Hours: 8 / Access Length: 12 Months / Delivery: Online, Self-Paced
Online Hours: 8
Retail Price: $195.00

Course Overview:

This course offers a beginner-friendly pathway to mastering end-to-end AI video production, covering everything from generative workflows to responsible content creation. You will gain industry-aligned skills in marketing and business communication while applying practical templates and exercises to build professional-quality videos. It is the ideal starting point for anyone looking to confidently automate and elevate their video creation process using cutting-edge AI tools.

Recommended 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.

Course Outline:

Lesson 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

Lesson 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

Lesson 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 YOLOv8 on Sample Security Footage to Detect and Track Objects

Lesson 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

Lesson 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

Lesson 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

Lesson 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

Lesson 8: Future of AI+ Video

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

All necessary course materials are included.

System Requirements:

Internet Connectivity Requirements:

• Cable, Fiber, DSL, or LEO Satellite (i.e. Starlink) internet with speeds of at least 10mb/sec download and 5mb/sec upload are recommended for the best experience.

NOTE: While cellular hotspots may allow access to our courses, users may experience connectivity issues by trying to access our learning management system.  This is due to the potential high download and upload latency of cellular connections.   Therefore, it is not recommended that students use a cellular hotspot as their primary way of accessing their courses.

Hardware Requirements:

• CPU: 1 GHz or higher
• RAM: 4 GB or higher
• Resolution: 1280 x 720 or higher.  1920x1080 resolution is recommended for the best experience.
• Speakers / Headphones
• Microphone for Webinar or Live Online sessions.

Operating System Requirements:

• Windows 7 or higher.
• Mac OSX 10 or higher.
• Latest Chrome OS
• Latest Linux Distributions
  

NOTE: While we understand that our courses can be viewed on Android and iPhone devices, we do not recommend the use of these devices for our courses. The size of these devices do not provide a good learning environment for students taking online or live online based courses.

Web Browser Requirements:

• Latest Google Chrome is recommended for the best experience.
• Latest Mozilla FireFox
• Latest Microsoft Edge
• Latest Apple Safari

Basic Software Requirements (These are recommendations of software to use):

• Office suite software (Microsoft Office, OpenOffice, or LibreOffice)
• PDF reader program (Adobe Reader, FoxIt)
• Courses may require other software that is described in the above course outline.