AI+ Video Practitioner™

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

₹8,999

Delivered by UpskillNexus, an AI CERTs® Authorized Training Partner.

About this certification

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

What's included

Package

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 modules

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 YOLO 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 Practitioner™

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

Why this certification matters

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 enrol

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.