The course provided me with a solid understanding of IT service desk operations and troubleshooting techniques. It has improved my ability to handle user issues with confidence and professionalism.
AI+ Video Practitioner™
AP 7011
Formerly known as AI+ Video™ 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
- High-Quality Video, E-book & Audiobook
- Modules Quizzes
- AI Mentor
- Access for Tablet & Phone
- Online Proctored Exam with One Free Retake
- Hands-on Practices
Why This Certification Matters
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Future-Proof Your Skills : Stay ahead in a rapidly evolving industry where AI-driven video creation is becoming the new standard.
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Boost Creative Efficiency : Learn to automate editing, enhance visuals, and streamline production workflows using intelligent video tools.
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Master Emerging Technologies : Gain hands-on experience with AI techniques shaping the future of visual storytelling and digital media.
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Increase Career Opportunities : Stand out to employers and clients seeking professionals skilled in next-gen video innovation and automation.
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Bridge Art and Technology : Combine creative vision with AI-powered precision to produce cinematic experiences that captivate and inspire.
At a Glance: Course + Exam Overview
Program Name
AI+ Video Practitioner™
Included
Instructor-led OR Self-paced course + Official exam + Digital badge
Prerequisites
Basic Video Editing Skills, Understanding of AI Concepts, Familiarity with Data Analytics, Experience with Content Creation.
Exam Format
50 questions, 70% passing, 90 minutes, online proctored exam
Delivery
Online labs, projects, case studies
Outcome
Industry-recognized credential + hands-on experience
Who Should Enroll?
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Video Creators and Editors: Professionals looking to integrate AI tools to automate editing, enhance visuals, and speed up production.
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Filmmakers and Producers: Those aiming to explore intelligent video generation, virtual production, and data-driven storytelling.
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Content Creators and Influencers: Individuals seeking to elevate their visual content with AI-powered creativity and personalized video experiences.
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Designers and Animators: Creatives who want to merge motion design with AI-driven effects and smart visual enhancements.
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Tech Enthusiasts and Innovators: Learners eager to understand how AI is transforming the future of video creation and media technology.
Skills You'll Gain
AI-Powered Video EditingComputer Vision and Scene UnderstandingObject Detection and TrackingGenerative Video CreationAutomated Color Grading and EnhancementIntelligent Motion Graphics DesignFacial Recognition and Emotion MappingAI-Driven Visual Effects (VFX)Adaptive Video Rendering for Interactive MediaReal-Time Video Analysis and Optimization
What You'll Learn
- 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
- 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 YOLO 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 Master
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.
Exam Details
Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via proctored exam platform (flexible scheduling)
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 Practitioner™ – 12%
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
Instructor-Led (Live Virtual/Classroom)
- 1 day (live or virtual) Self-Paced: 8 hours of content
- Real-time Q&A, peer collaboration, and hands-on labs
- Led by AI Certified Trainers and delivered through Authorized Training Partners
Self-Paced Online
- 8 hours of content
- Learn anywhere, anytime, with modular quizzes to track progress
Need More Flexibility?
To help you along your way, we can help you set up a customizable payment plan. Just book a call, we’ll provide you with the details!
Let's Arrange a Call9/10 of our learners achieve their learning objectives after successful completionProcess Advisors
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My path to cloud architecture had its hurdles, but Fortray was there every step of the way. They provided valuable insights into cloud technologies and architectural design. With their guidance, I turned challenges into opportunities, and today, as a Cloud Architect, I help organizations leverage the cloud for their growth and success.
The path to becoming a Cybersecurity Engineer felt like decrypting an impossible algorithm—until Fortray provided the key. Their mentorship was like a robust IPS, detecting and eliminating my weaknesses while optimizing my strengths. Now, I stand as a protector in the ever-evolving IT landscape, proud to carry their legacy forward.
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The training helped me build strong analytical skills and understand how to work with real-world data science problems effectively.
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Frequently Asked Questions
Yes, you'll gain hands-on experience with AI tools for video editing, visual effects, and content generation that can be immediately applied across industries like film, advertising, social media, and digital production.
This course uniquely blends AI with video production, focusing on generative visuals, intelligent editing systems, and adaptive storytelling that redefine how video content is created, enhanced, and personalized.
You'll work on projects like AI-assisted video editing, automated scene detection, generative visual storytelling, and a capstone project focused on building an AI-powered video production tool or application.
The course integrates core theory with interactive hands-on, practical assignments, and real-world projects that help you apply AI in visual analysis, motion design, and intelligent video creation.
You'll develop specialized AI and video technology skills that prepare you for roles such as AI Video Engineer, Motion Designer, Computer Vision Specialist, or Visual Content Strategist in film, media, and tech industries.
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