AI for Video Production

AI for Video Production

Instructor: AI CERTs Team

Access provided by Marie Curie Alumni Association

8 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

8 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Enhance Video Creation with AI: Use Runway, Pika, Descript, and Premiere Pro AI to automate edits, sync audio, and generate dynamic scenes.
Apply Video AI Techniques: Use GANs, avatars, motion tracking, and object detection to analyze and enhance video content intelligently.
Master AI Video Workflows: Learn frame extraction, captioning, upscaling, and AI storytelling for marketing and creative video projects.
Capstone: AI-Enhanced Video Project: Create an AI-powered video using Synthesia, Runway, or Clipchamp with automated edits, effects, and captions.

Skills you'll gain

Tools you'll learn

Generative AI

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

8 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

There are 8 modules in this course

Artificial intelligence is transforming video creation, editing, and distribution - making production faster, smarter, and more immersive. The AI for Video Production Certification is designed for content creators, marketers, media professionals, and digital storytellers who want to harness AI-powered video tools to accelerate workflows, enhance creativity, and unlock data-driven audience insights.

In this hands-on program, you will explore the fundamentals of AI in video, including automated editing, object detection, motion tracking, super-resolution, and content personalization. You’ll work with tools like OpenCV, YOLO, TensorFlow, Clipchamp, and avatar-based video platforms to master practical AI-driven techniques — from auto-generating captions and highlights to transforming scripts into AI-powered videos and restoring low-quality footage. Through guided labs and real-world case studies from YouTube, Dubai Smart City, Amazon Go, and Synthesia, you will learn how AI enhances storytelling, supports accessibility, strengthens surveillance systems, and enables real-time audience engagement. You will also build hands-on projects in video enhancement, annotation, and AI-powered narrative creation.

This module covers a quick summary of what the certification is going to cover from start to finish. Here is the brief about the structure of the overall certification: Each of our certifications follows a consistent, multimodal structure to provide a flexible learning experience. The content is available across four formats: eBooks: In-depth written material for focused learning. Audiobooks: Audio version of the eBook, perfect for learning on the go. Podcasts: Engaging audio content to reinforce key concepts. Videos: Modular video chunks, each covering a specific topic. The names of the eBooks, Audiobooks, and Podcasts are the same, ensuring you can seamlessly switch between formats without losing track of the content. Videos are divided into bite-sized modules for easier consumption, and all content across these mediums is consistent, so no matter which format you choose, the information remains the same. This gives you the freedom to learn in the way that works best for you.

What's included

8 videos1 reading1 assignment2 plugins

8 videos Total 37 minutes

Course Introduction 5 minutes
1.1 Structure and Types of Video Files, Compression Techniques, and Codec Standards 5 minutes
1.2 Frame Rates, Resolutions, and Common Video Formats, followed by Color Spaces, HDR, and Chroma Subsampling for AI Applications 5 minutes
1.3 Key AI Techniques in Visual Data Analysis and Comparing Machine Learning and Deep Learning in Video Processing 5 minutes
1.4 Common Applications in Media, Surveillance, and Enterprise 3 minutes
1.5 Common AI Libraries (OpenCV, TensorFlow, PyTorch, MediaPipe) 4 minutes
1.6 Video Data Handling and Environment Setup for AI Development 6 minutes
1.7 Use Case and Case Study: AI-Enhanced Video Compression and YouTube’s Intelligent Transcoding System 5 minutes

1 reading Total 10 minutes

Hands - On 10 minutes

1 assignment Total 30 minutes

Quiz 1 30 minutes

2 plugins Total 30 minutes

Module 1: Foundations of AI in Video Integration 15 minutes
ACTIVITY: Tab 15 minutes

What's included

7 videos1 reading1 assignment2 plugins

7 videos Total 33 minutes

2.1 Extracting and Annotating Video Frames 6 minutes
2.2 Organizing and Structuring Video Datasets for Efficient Supervised Learning 7 minutes
2.3 Normalizing Data and Scaling Input Sizes 5 minutes
2.4 Cropping, Sampling, and Sequencing Frames 2 minutes
2.5 Augmentation for Motion Blur, Lighting, and Angle Variance 3 minutes
2.6 Storage and Workflow Management for AI Video Data 5 minutes
2.7 Use Case and Real World Case Study on Building AI-Ready Video Datasets for Autonomous Driving 5 minutes

1 reading Total 10 minutes

Hands - On 10 minutes

1 assignment Total 30 minutes

Quiz 2 30 minutes

2 plugins Total 30 minutes

Module 2: Preparing Video Data for AI 15 minutes
ACTIVITY: Hotspot 15 minutes

What's included

10 videos1 reading1 assignment2 plugins

10 videos Total 47 minutes

3.1 Scene Recognition and Classification Models 5 minutes
3.2 Syncing Audio and Visual Components and Tagging with Multiple Labels in Diverse Video Content. 7 minutes
3.3 Working with YOLO, SSD, and Faster R-CNN 6 minutes
3.4 Tracking motion using Deep SORT and SORT algorithms 4 minutes
3.5 Managing occlusions and rapid movements 4 minutes
3.6 Using RNNs and LSTMs for temporal activity detection 3 minutes
3.7 Identifying Human and Group Behaviors 4 minutes
3.8 Crowd Monitoring and Anomaly Recognition 5 minutes
3.9 Use Case: Smart surveillance systems detecting abandoned objects in real time 3 minutes
3.10 Case Study: Dubai Smart City’s AI implementation for object recognition and suspicious behavior detection in public transport hubs 4 minutes

1 reading Total 10 minutes

Hands - On 10 minutes

1 assignment Total 30 minutes

Quiz 3 30 minutes

2 plugins Total 30 minutes

Module 3: Machine Learning for Video Analysis 15 minutes
ACTIVITY: Accordion 15 minutes

What's included

11 videos1 reading1 assignment2 plugins

11 videos Total 45 minutes

4.1 Using GANs to Synthesize New Video Content 6 minutes
4.2 Applying Style Transfer in Moving Frames 3 minutes
4.3 Frame Interpolation using Deep Learning 4 minutes
4.4 Lip-Sync and Voice-to-Motion Generation 4 minutes
4.5 Creating Realistic Avatars and Character Movement 4 minutes
4.6 Generating Video from Textual Input 4 minutes
4.7 Understanding Deepfakes and Manipulation risks 4 minutes
4.8 Detection Methods and Digital Watermarking 6 minutes
4.9 Responsible AI Usage Guidelines 4 minutes
4.10 Use Case: Auto-generation of product explainer videos using avatars and synthesized narration 3 minutes
4.11 Case Study: Synthesia’s solution enables businesses to create AI-driven training and marketing videos in multiple languages 4 minutes

1 reading Total 10 minutes

Hands - On 10 minutes

1 assignment Total 30 minutes

Quiz 4 30 minutes

2 plugins Total 30 minutes

Module 4: Generative AI in Video 15 minutes
ACTIVITY: Case Study 15 minutes

What's included

9 videos1 reading1 assignment2 plugins

9 videos Total 41 minutes

5.1 Upscaling Resolution, Denoising, and Sharpening 6 minutes
5.2 Repairing Damaged or Historical Footage 4 minutes
5.3 Applying AI colorization to Grayscale Media 4 minutes
5.4 Improving Live-Stream Quality with AI 4 minutes
5.5 Deblurring, Stabilization, and Low-Light Enhancement in Real-Time Video 5 minutes
5.6 Auto-generated Captions and Subtitles 3 minutes
5.7 Real-Time Sign Language Interpretation 5 minutes
5.8 Voiceover and Audio Description for Accessibility 6 minutes
5.9 AI in Video Enhancement: Use Case on Mobile Streaming and Case Study on Historical Archive Restoration 5 minutes

1 reading Total 10 minutes

Hands - On 10 minutes

1 assignment Total 30 minutes

Quiz 5 30 minutes

2 plugins Total 30 minutes

Module 5: Enhancing Video with AI 15 minutes
ACTIVITY: Sequence Arrangement 15 minutes

What's included

9 videos1 reading1 assignment2 plugins

9 videos Total 40 minutes

6.1 Using AI to Overlay AR Graphics Based on Camera Feed 4 minutes
6.2 Estimating Depth for Anchoring 3D Objects 4 minutes
6.3 Real-Time Special Effects with Visual Recognition 4 minutes
6.4 Scene Segmentation and Cut Detection 3 minutes
6.5 AI-Driven Highlights and Storyboarding: Automating Creative Video Summaries 4 minutes
6.6 Interactive Video Branching 4 minutes
6.7 Personalized Edits 6 minutes
6.8 Emotion Recognition for Engagement 4 minutes
6.9 AR-Powered Sports Broadcasting: Real-Time Player Insights and Fan Engagement through AI and Cloud Innovation 6 minutes

1 reading Total 10 minutes

Hands - On 10 minutes

1 assignment Total 30 minutes

Quiz 6 30 minutes

2 plugins Total 30 minutes

Module 6: Interactive and Immersive AI Video 15 minutes
ACTIVITY: Tab 15 minutes

What's included

10 videos1 reading1 assignment2 plugins

10 videos Total 43 minutes

7.1 Crowd Facial Recognition Systems 5 minutes
7.2 Motion Detection and License Plate Recognition in Smart Surveillance Systems 5 minutes
7.3 Flagging and Filtering Sensitive Content 4 minutes
7.4 Managing Uploads on Large-scale Platforms 3 minutes
7.5 Visual Content Review Workflows 5 minutes
7.6 Compliance with GDPR and Surveillance Laws 5 minutes
7.7 Privacy-respecting AI Solutions 5 minutes
7.8 Reducing Algorithmic Bias in Surveillance 5 minutes
7.9 Use Case: Automated real-time access control in corporate offices using facial authentication 3 minutes
7.10 Case Study: Amazon Go’s cashier-less stores using computer vision for security and consumer behavior tracking 3 minutes