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AI+ Video™

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  • Embrace the future of AI in video to inspire innovation and craft immersive visual experiences
  • Assess your skills before enrolling
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$82.00

Intermediate
AI+ Video.
24h
1 Year.
$82.00
Training 5 or more people?
Get a Quote

Innovative and immersive visual experiences.

  • 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
  • Future-Proof Your Skills : Stay ahead in a rapidly evolving industry where AI-driven video creation is becoming the new standard.
  • Boost Creative Efficiency : Learn to automate editing, enhance visuals, and streamline production workflows using intelligent video tools.
  • Master Emerging Technologies : Gain hands-on experience with AI techniques shaping the future of visual storytelling and digital media.
  • Increase Career Opportunities : Stand out to employers and clients seeking professionals skilled in next-gen video innovation and automation.
  • Bridge Art and Technology : Combine creative vision with AI-powered precision to produce cinematic experiences that captivate and inspire.

Course Curriculum

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 YOLOv8 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
8.1 Trends and Emerging Technologies 8.2 AI Applications by Industry 8.3 Careers and Professional Growth

Learning Objectives

  • Learn AI-Driven Video Technologies: Grasp how AI enhances video analysis, object detection, and facial recognition.
  • Develop Hands-On Experience: Apply AI tools for automated video editing, content moderation, and real-time video processing.
  • Grasp Ethical and Privacy Concerns: Understand the ethical implications and privacy issues surrounding AI in video technologies.
  • Apply Bias Reduction Techniques: Learn to address and reduce bias in AI systems used for video applications.
  • Equip for Innovation: Be prepared to lead and innovate in the rapidly advancing field of AI-powered video technologies.

Resource Center

  • Videos, Use cases, Workshops, E-books and tools.

Target Audience

  • Video Creators and Editors.
  • Filmmakers and Producers.
  • Content Creators and Influencers.
  • Designers and Animators.
  • Tech Enthusiasts and Innovators.

Job Roles & Industry Outlook 

Al Motion Designer
Design Al-driven animations and effects, automate compositing and rendering, and produce dynamic visuals for films, games, and digital media.
Chief Video Innovation Officer (CVIO)
Lead the evolution of Al in visual media by driving innovation in intelligent production, personalized content, and next-generation video experiences.
Al Video Engineer
Develop intelligent video systems that enhance image quality, automate editing, and create adaptive, real-time visual experiences across platforms.
Video Data Scientist
Analyze visual data to build predictive models for content recommendation, scene recognition, and audience engagement optimization.

Exam Information

Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via proctored exam platform (flexible scheduling)
Fees include
One year of access to course content, including continuous updates. Certification exam. One exam re-take.

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%

Explore our Schedules

Apr 19 - Apr 21
GMT 09:00 AM - 05:00 PM
In-person
Cairo
369.6$
3 Days
Enroll Now
Sep 13 - Sep 15
GMT 09:00 AM - 05:00 PM
In-person
Cairo
369.6$
3 Days
Enroll Now
Aug 10 - Aug 17
GMT 06:00 PM - 10:00 PM
LVT
Zoom
396.8
6 Days
Enroll Now
Dec 13 - Dec 20
GMT 06:00 PM- 10:00 PM
LVT
Zoom
396.8$
6 Days
Enroll Now

Certificate of Completion

AI+ Video.

$82.00

Intermediate
AI+ Video.
24h
1 Year.
$82.00
Training 5 or more people?
Get a Quote

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