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URL: https://www.coursera.org/learn/ai-for-video-production

⇱ AI for Video Production | Coursera

AI for Video Production

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AI for Video Production

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Streamline Editing with AI Tools: Automate trimming, captioning, and color correction to speed up production and maintain consistency.

  • Enhance Storytelling and Creativity: Use AI for scriptwriting, visual analysis, and idea generation to create stronger, engaging narratives.

  • Optimize Production Workflows: Integrate AI into planning and editing processes to reduce manual effort and deliver content faster.

  • Improve Video Quality and Accessibility: Apply AI for noise reduction, subtitles, and visual enhancement to produce polished, accessible videos.

Details to know

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Assessments

8 assignments

Taught in English

There are 8 modules in this course

Create high-quality videos faster, reduce editing time, and deliver more engaging content with AI. AI for Video Production is a beginner-friendly, practical course that teaches you how to use modern AI tools to accelerate editing, simplify workflows, and strengthen storytelling—without technical expertise.

You’ll explore how AI supports every stage of production, from idea development and scriptwriting to automated editing, color correction, and captioning. For example, AI can instantly match color tones across clips or generate captions in seconds. This frees you to focus on creativity instead of repetitive tasks. Each module includes real demonstrations of AI video tools in action. You’ll see how automation speeds up post-production, improves audio quality, enhances visuals, and simplifies complex editing steps. By the end of the course, you’ll be able to edit efficiently, create engaging videos, and deliver content that stands out in a competitive digital space. Enroll to gain recognized certification and build future-ready video production skills using AI-powered workflows, automation, and creative storytelling techniques.

This module introduces the overall certification structure and explains how the learning experience is organized throughout the course. To support different learning preferences, the content is offered in multiple formats, including Videos, eBooks, Audiobooks, and Podcasts. Each format covers the same key concepts, giving you the flexibility to learn in the way that works best for you. You can choose any format based on your preferred learning style and move through the course at your own pace.

What's included

9 videos1 reading1 assignment2 plugins

9 videos•Total 39 minutes
  • Navigation Video•2 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
1 reading•Total 10 minutes
  • Hands - On•10 minutes
1 assignment•Total 30 minutes
  • Quiz 7•30 minutes
2 plugins•Total 30 minutes
  • Module 7: AI in Video Surveillance and Compliance•15 minutes
  • ACTIVITY: Multiple Choice•15 minutes

What's included

9 videos1 reading1 assignment2 plugins

9 videos•Total 36 minutes
  • 8.1 Running AI Video Analysis at the Edge•3 minutes
  • 8.2 Reducing Latency in Video Inference•6 minutes
  • 8.3 AI-Powered Summarization and Captions•4 minutes
  • 8.4 Retail Analytics through Footfall and Heatmaps•4 minutes
  • 8.5 AI in Medical Imaging and Diagnostics•4 minutes
  • 8.6 City-Scale Public Safety Systems•4 minutes
  • 8.7 Job Profiles, Responsibilities, and Required Skills•4 minutes
  • 8.8 Building Careers and Opportunities in AI + Video Technology •5 minutes
  • Course Summary•4 minutes
1 reading•Total 10 minutes
  • Hands - On•10 minutes
1 assignment•Total 30 minutes
  • Quiz 8•30 minutes
2 plugins•Total 30 minutes
  • Module 8: Future of AI+ Video•15 minutes
  • ACTIVITY: Problem Statement•15 minutes

Instructor

AI CERTs
58 Courses•43,878 learners

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Frequently asked questions

No, the course is designed for beginners and professionals looking to improve their AI workflows.

Yes, you’ll explore popular AI video platforms and complete guided, hands-on exercises.

It is highly practical and focused on real production tasks and creative projects.

Absolutely. These techniques apply to business content, social media, and independent creative work.

Yes, you’ll earn the Coursera Certificate in AI for Video Production.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,