AI+ Video (AP 7011 Self-Paced Training)
Ziele der Schulung
The AI+ Video certification equips learners with practical skills to integrate artificial intelligence into video creation, editing, and production workflows. It enables participants to automate editing, enhance visual quality, and apply advanced AI tools for generative content, compositing, intelligent effects, and visual storytelling. The course covers both foundational and advanced AI video techniques, preparing professionals to leverage AI-driven technologies across creative media, marketing, entertainment, and business communication.
What Will You Learn? Learners will understand how AI is applied across the video lifecycle, use machine learning and computer vision for automated editing and enhancement, explore generative AI for video creation, and apply AI-powered tools for real-world video use cases.
Zielgruppe Seminar
- Video creators and editors looking to integrate AI tools to automate editing and enhance visuals
- Filmmakers and producers aiming to explore intelligent video generation and data-driven storytelling
- Content creators and influencers seeking to elevate visual content with AI-powered creativity
- Designers and animators who want to merge motion design with AI effects
- Technology professionals and enthusiasts interested in AI-driven video innovation
Voraussetzungen
- Basic video editing skills
- Understanding of fundamental AI concepts
- Familiarity with data analytics
- Experience with content creation workflows
Seminarinhalt
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
- 2.6 Hands-On: Video Annotation using CVAT Tool
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
- 3.5 Case Study: Dubai Smart City AI Implementation
- 3.6 Hands-On: Train YOLOv8 on Sample Security Footage
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
- 4.5 Case Study: Synthesia’s AI Video Solutions
- 4.6 Hands-On: Generate AI Avatar and Explore Face Alignment
Module 5: Enhancing Video with AI
- 5.1 Super-Resolution and Restoration
- 5.2 Real-Time Video Enhancement
- 5.3 Inclusive Video Design
- 5.4 Use Case: Streaming Platforms & Mobile Optimization
- 5.5 Hands-On: Enhance Low-Resolution Video
Hinweise
Prüfung und Zertifizierung
- Duration: 90 minutes
- Passing Score: 70%
- Format: 50 multiple-choice questions
- Delivery Method: Online proctored exam
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Übersicht: AI Certs Schulungen Portfolio
