AI+ Video™
AP 7011
Embrace the future of AI in video to inspire innovation and craft 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
Why This Certification Matters
At a Glance: Course + Exam Overview
- Instructor-Led: 1 day (live or virtual)
- Self-Paced: 8 hours of content
Job Roles & Industry Outlook
UI / UX Designer
Design intuitive, user-friendly digital experiences by leveraging AI to personalize interfaces and improve usability.
User Experience Engineer
Design and build engaging, intuitive, and responsive digital interfaces that bring ideas to life and enhance user journeys.
Human Resources Specialist
Use AI to streamline recruitment, enhance employee engagement, and optimize workforce management strategies.
Business Intelligence Analyst
Transform data into actionable insights by applying AI-driven analytics to guide smarter business decisions.
Content Creator/ Content Strategist
Leverage AI tools to craft high-performing content, optimize campaigns, and deliver measurable marketing results.
Customer Experience Strategist
Harness AI to personalize customer journeys, automate support, and create seamless experiences that drive loyalty.
Industry Growth: AI+ Video™
- 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.
Who Should Enroll?
- Video Creators and Editors: Professionals looking to integrate AI tools to automate editing, enhance visuals, and speed up production.
- Filmmakers and Producers: Those aiming to explore intelligent video generation, virtual production, and data-driven storytelling.
- Content Creators and Influencers: Individuals seeking to elevate their visual content with AI-powered creativity and personalized video experiences.
- Designers and Animators: Creatives who want to merge motion design with AI-driven effects and smart visual enhancements.
- Tech Enthusiasts and Innovators: Learners eager to understand how AI is transforming the future of video creation and media technology.
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
Tools You'll Explore
TensorFlow
PyTorch
OpenCV
MediaPipe
Runway ML
Synthesia Studio
DeepFaceLab
Adobe Sensei
DaVinci Resolve Neural Engine
Runway Gen-2
Pika Labs
Kaiber AI
DeepBrain AI Studio
NVIDIA Maxine SDK
Google Video AI API
FFmpeg Automation Tools
Unreal Engine with AI Plugins
Blender AI Add-ons
Stability Video Diffusion
Generative Video Editing Tools
Prerequisites
- Basic Video Editing Skills, Understanding of AI Concepts, Familiarity with Data Analytics, Experience with Content Creation.
Exam Details
Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via AI proctored exam platform (flexible scheduling)
Exam Blueprint
- Module 1: Foundation of AI in Video Integration - 12%
- Module 2: Preparing Video Data for AI - 12%
- Module 3: Machine Learning for Video Analysis - 12%
- Module 4: Generative AI in Video - 12%
- Module 5: Enhancing Video with AI - 13%
- Module 6: Interactive and Immersive AI Video - 13%
- Module 7: AI in Video Surveillance and Compliance - 13%
- Module 8: Future of AI+ Video - 13%
Choose the Format That Fits Your Schedule
What's Included (One-Year Subscription + All Updates):
- High-Quality Videos, E-book (PDF & Audio), and Podcasts
- AI Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Online Proctored Exam with One Free Retake
- Comprehensive Exam Study Guide
- Access for Tablet & Phone
Frequently Asked Questions
The course includes a mix of theoretical knowledge and practical applications, culminating in an interactive capstone project. This structure ensures that participants gain both conceptual understanding and hands-on experience.
This course is ideal for developers, IT professionals, and anyone with a foundational understanding of AI and cloud computing who wants to enhance their skills in integrating AI with cloud platforms like AWS, Azure, or Google Cloud.
Participants will learn to develop, deploy, and manage AI models on leading cloud platforms. Skills include optimizing AI model performance, ensuring security, meeting compliance standards, and applying AI and cloud concepts to solve real-world problems.
This certification enhances your professional profile by demonstrating proficiency in integrating AI with cloud computing. It equips you with in-demand skills, giving you a competitive edge in the job market and opening doors to lucrative career opportunities.
The certification includes an interactive capstone project where participants apply their knowledge to design and implement AI solutions within cloud environments. This project is designed to simulate real-world scenarios and challenges.