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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

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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 

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Al Motion Designer
Design Al-driven animations and effects, automate compositing and rendering, and produce dynamic visuals for films, games, and digital media.
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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.
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Al Video Engineer
Develop intelligent video systems that enhance image quality, automate editing, and create adaptive, real-time visual experiences across platforms.
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Video Data Scientist
Analyze visual data to build predictive models for content recommendation, scene recognition, and audience engagement optimization.

Exam Information

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Duration
90 minutes
Passing Score Icon-71608a
Passing Score
70% (35/50)
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Format
50 multiple-choice/multiple-response questions
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Delivery Method
Online via proctored exam platform (flexible scheduling)
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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
In-Person
Cairo
724.5$
3 Days
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Sep 13 - Sep 15
GMT 09:00 AM - 05:00 PM
In-person
In-Person
Cairo
724.5$
3 Days
Enroll Now
Jun 21 - Jun 28
GMT 06:00 PM - 10:00 PM
LVT
LVT
Zoom
280$
6 Days
Enroll Now
Sep 6 - Sep 13
GMT 06:00 PM- 10:00 PM
LVT
LVT
Zoom
280$
6 Days
Enroll Now
Nov 15 - Nov 22
GMT 06:00 PM- 10:00 PM
LVT
LVT
Zoom
280$
6 Days
Enroll Now

Certificate of Completion

AI+ Video.

AI-Healthcare-Certificate-Blurred 1

$82.00

ChartBar (1)-51bd46
Intermediate
AI+ Video.
24h
1 Year.
$82.00
Training 5 or more people?
Get a Quote

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