AI for Video Production

AI for Video Production

位教师：AI CERTs Team

访问权限由 New York State Department of Labor 提供

8个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

2 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

8个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

2 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

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.

您将获得的技能

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

8 项作业

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有8个模块

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.

涵盖的内容

8个视频1篇阅读材料1个作业2个插件

8个视频总计37分钟

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

1篇阅读材料总计10分钟

Hands - On 10分钟

1个作业总计30分钟

Quiz 1 30分钟

2个插件总计30分钟

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

涵盖的内容

7个视频1篇阅读材料1个作业2个插件

7个视频总计33分钟

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

1篇阅读材料总计10分钟

Hands - On 10分钟

1个作业总计30分钟

Quiz 2 30分钟

2个插件总计30分钟

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

涵盖的内容

10个视频1篇阅读材料1个作业2个插件

10个视频总计47分钟

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

1篇阅读材料总计10分钟

Hands - On 10分钟

1个作业总计30分钟

Quiz 3 30分钟

2个插件总计30分钟

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

涵盖的内容

11个视频1篇阅读材料1个作业2个插件

11个视频总计45分钟

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

1篇阅读材料总计10分钟

Hands - On 10分钟

1个作业总计30分钟

Quiz 4 30分钟

2个插件总计30分钟

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

涵盖的内容

9个视频1篇阅读材料1个作业2个插件

9个视频总计41分钟

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

1篇阅读材料总计10分钟

Hands - On 10分钟

1个作业总计30分钟

Quiz 5 30分钟

2个插件总计30分钟

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

涵盖的内容

9个视频1篇阅读材料1个作业2个插件

9个视频总计40分钟

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

1篇阅读材料总计10分钟

Hands - On 10分钟

1个作业总计30分钟

Quiz 6 30分钟

2个插件总计30分钟

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

涵盖的内容

10个视频1篇阅读材料1个作业2个插件

10个视频总计43分钟

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