AI+ Video™

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Duration
1 day

For companies and job seekers:
this course is 100% fundable!
 

Location

Course Language
English

Training Solutions
WalkIn®

AI is fundamentally changing video production. Creative decisions, technical processes, and production times can be rethought. This training course offers a compact, professional overview of how modern AI technologies can be used sensibly and responsibly in the video environment.

Key topics

  • AI-based video generation and optimization.
  • Automation of editing, sound, and visual effects.
  • Use of generative models for moving images.
  • Scalable video workflows for digital channels.
  • Legal and ethical principles of AI video.

Prerequisite
Initial experience with digital media or video content.

Target audience
Professionals from media, design, marketing, and communication, as well as creative roles with a focus on video and digital content.

The knowledge acquired will help participants to confidently integrate AI into creative processes and implement video projects efficiently, to a high standard, and in a future-proof manner.
 

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course content
  • Fundamentals of video processing
  • Introduction to AI in videos
  • Toolkits and Framework
  • Use case: AI-powered video compression for streaming platforms.
  • Case study: YouTube's AI-driven transcoding system automatically optimizes video quality based on device and internet conditions.
  • Data preparation for AI models
  • Preprocessing and expansion of frames
  • Storage and workflow management
  • Use case: Building AI-enabled video datasets for autonomous driving.
  • Case study: Tesla's internal pipeline for labeling driving scenarios in different regions using video footage.
  • Practical exercises: Video annotation with the CVAT tool and organization for model training.
  • Video classification and labeling
  • Object recognition and motion tracking
  • Action and behavior recognition
  • Use case: Intelligent surveillance systems for real-time detection of abandoned objects.
  • Case study: AI implementation by Dubai Smart City for object recognition and detection of suspicious behavior in public transportation hubs.
  • Practical exercise: Application of YOLOv8 to sample security footage for object detection and tracking.
  • Creating synthetic videos with GANs
  • AI-driven animations and avatars
  • Ethical use of generative content
  • Use case: Automatic creation of product videos with avatars and synthetic speech.
  • Case study: Synthesia's solution, which enables companies to create AI-driven training and marketing videos in multiple languages.
  • Hands-on exercise: Generate a deepfake or AI avatar with AKOOL and explore face customization and identity swapping.
  • Super resolution and restoration
  • Real-time video enhancement
  • Making videos more inclusive
  • Use case: Streaming platforms that use AI to improve resolution and reduce latency for mobile users.
  • Case study: The impact of DeOldify on the revival of historical video archives through upscaling and colorization of black-and-white footage.
  • Practical application: Using AI4Video to enhance a sample low-resolution black-and-white video and visualize the improvement.
  • AI in AR and mixed reality
  • Intelligent video editing
  • Audience engagement and customization
  • Use case: Live sports broadcasts with AR to display player statistics during the game.
  • Case study: Collaboration between the NFL and AWS to deliver real-time performance data via augmented visualizations.
  • Practical exercise: Creating a highlight video from a video clip using Clipchamp.
  • Security and surveillance systems
  • Automated content moderation
  • Handling data protection and ethics
  • Use case: Automated real-time access control in corporate offices using facial authentication.
  • Case study: Amazon Go's cashierless stores use computer vision for security and consumer behavior tracking.
  • Practical exercise: Implementation of a facial recognition and access control simulation using OpenCV and a basic recognition model.
  • Trends and new technologies
  • AI applications by industry
  • Career and professional development

Frequently asked questions

  • AI+ Video™ is an AI certification that demonstrates how artificial intelligence is used in video production. The course combines creativity with automated workflows and state-of-the-art tools.
  • The course covers the fundamentals of AI video technology, automated editing, visual effects, generative video models, and end-to-end workflows from planning to distribution.
  • The course shows how AI tools automate video editing, motion tracking, object and content analysis—saving time and increasing efficiency.
  • The course introduces tools such as Pika Labs, Kaiber AI, DeepBrain AI Studio, NVIDIA Maxine SDK, Google Video AI API, FFmpeg Automation Tools, Unreal Engine Plugins, Blender AI Add-ons, and Stabilty Video Diffusion.
  • The course shows how AI tools automate video editing, motion tracking, object and content analysis—saving time and increasing efficiency.
  • The course shows how visual data is analyzed and how this data is used to tell compelling, AI-powered stories.
  • In an era dominated by video content, AI+ Video™ offers practical skills for acceleration, automation, and innovation that employers and customers value.

Do you have any further questions? Please contact us.