AI CERTS® certification

AI+ Video Practitioner™

Formerly known as AI+ Video™ Embrace the future of AI in video to inspire innovation and craft immersive visual experiences

Enquire about this certificationCourse code: AP 7011

AI+ Video Practitioner™ certification badge

Course overview

Review the course before deciding whether it is suitable.

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

Included: Instructor-led OR Self-paced course + Official exam + Digital badge
Duration: Instructor-Led: 1 day (live or virtual)Self-Paced: 8 hours of content
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam
Prerequisites: Basic Video Editing Skills, Understanding of AI Concepts, Familiarity with Data Analytics, Experience with Content Creation.

Course focus

Why this certification may be relevant.

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 it may suit

Check the intended audience against your experience and goals.

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.

Course content

Modules supplied by AI CERTs.

Open each module to review the stated topics.

01Module 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

02Module 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

03Module 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 YOLO on Sample Security Footage to Detect and Track Objects

04Module 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

05Module 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

06Module 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

07Module 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

08Module 8: Future of AI+ Video Practitioner™

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

Tools referenced by AI CERTs

Platforms and tools included in the course information.

TensorFlow

PyTorch

OpenCV

MediaPipe

Runway ML

Synthesia Studio

DeepFaceLab

Adobe Sensei

DaVinci Resolve Neural Engine

Runway

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

Before you enrol

This course information is supplied through the AI CERTs catalogue. Kiwi Fern Education will confirm current availability, delivery arrangements, inclusions and fees before enrolment. The programme is not presented as a New Zealand Qualifications Authority qualification.

Speak with our team

Would you like to discuss this certification?

Tell us whether you are enquiring for yourself or a team and what capability you want to build. We will confirm the next steps before you commit.

Enquire about this course