AI for Video Production

AI for Video Production

Instructor: AI CERTs Team

Access provided by Nassau Community College

1,518 already enrolled

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

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.

Skills you'll gain

Tools you'll learn

AI Workflows

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

8 assignments

Taught in English

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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.

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

8 videos1 reading1 assignment2 plugins

8 videosTotal 37 minutes

Course Introduction5 minutes
1.1 Structure and Types of Video Files, Compression Techniques, and Codec Standards5 minutes
1.2 Frame Rates, Resolutions, and Common Video Formats, followed by Color Spaces, HDR, and Chroma Subsampling for AI Applications5 minutes
1.3 Key AI Techniques in Visual Data Analysis and Comparing Machine Learning and Deep Learning in Video Processing5 minutes
1.4 Common Applications in Media, Surveillance, and Enterprise3 minutes
1.5 Common AI Libraries (OpenCV, TensorFlow, PyTorch, MediaPipe)4 minutes
1.6 Video Data Handling and Environment Setup for AI Development6 minutes
1.7 Use Case and Case Study: AI-Enhanced Video Compression and YouTube’s Intelligent Transcoding System5 minutes

1 readingTotal 10 minutes

Hands - On10 minutes

1 assignmentTotal 30 minutes

Quiz 130 minutes

2 pluginsTotal 30 minutes

Module 1: Foundations of AI in Video Integration15 minutes
ACTIVITY: Tab15 minutes

What's included

7 videos1 reading1 assignment2 plugins

7 videosTotal 33 minutes

2.1 Extracting and Annotating Video Frames6 minutes
2.2 Organizing and Structuring Video Datasets for Efficient Supervised Learning7 minutes
2.3 Normalizing Data and Scaling Input Sizes5 minutes
2.4 Cropping, Sampling, and Sequencing Frames2 minutes
2.5 Augmentation for Motion Blur, Lighting, and Angle Variance3 minutes
2.6 Storage and Workflow Management for AI Video Data5 minutes
2.7 Use Case and Real World Case Study on Building AI-Ready Video Datasets for Autonomous Driving5 minutes

1 readingTotal 10 minutes

Hands - On10 minutes

1 assignmentTotal 30 minutes

Quiz 230 minutes

2 pluginsTotal 30 minutes

Module 2: Preparing Video Data for AI15 minutes
ACTIVITY: Hotspot15 minutes

What's included

10 videos1 reading1 assignment2 plugins

10 videosTotal 47 minutes

3.1 Scene Recognition and Classification Models5 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-CNN6 minutes
3.4 Tracking motion using Deep SORT and SORT algorithms4 minutes
3.5 Managing occlusions and rapid movements4 minutes
3.6 Using RNNs and LSTMs for temporal activity detection3 minutes
3.7 Identifying Human and Group Behaviors4 minutes
3.8 Crowd Monitoring and Anomaly Recognition5 minutes
3.9 Use Case: Smart surveillance systems detecting abandoned objects in real time3 minutes
3.10 Case Study: Dubai Smart City’s AI implementation for object recognition and suspicious behavior detection in public transport hubs4 minutes

1 readingTotal 10 minutes

Hands - On10 minutes

1 assignmentTotal 30 minutes

Quiz 330 minutes

2 pluginsTotal 30 minutes

Module 3: Machine Learning for Video Analysis15 minutes
ACTIVITY: Accordion15 minutes

What's included

11 videos1 reading1 assignment2 plugins

11 videosTotal 45 minutes

4.1 Using GANs to Synthesize New Video Content6 minutes
4.2 Applying Style Transfer in Moving Frames3 minutes
4.3 Frame Interpolation using Deep Learning4 minutes
4.4 Lip-Sync and Voice-to-Motion Generation4 minutes
4.5 Creating Realistic Avatars and Character Movement4 minutes
4.6 Generating Video from Textual Input4 minutes
4.7 Understanding Deepfakes and Manipulation risks4 minutes
4.8 Detection Methods and Digital Watermarking6 minutes
4.9 Responsible AI Usage Guidelines4 minutes
4.10 Use Case: Auto-generation of product explainer videos using avatars and synthesized narration3 minutes
4.11 Case Study: Synthesia’s solution enables businesses to create AI-driven training and marketing videos in multiple languages4 minutes

1 readingTotal 10 minutes

Hands - On10 minutes

1 assignmentTotal 30 minutes

Quiz 430 minutes

2 pluginsTotal 30 minutes

Module 4: Generative AI in Video15 minutes
ACTIVITY: Case Study15 minutes

What's included

9 videos1 reading1 assignment2 plugins

9 videosTotal 41 minutes

5.1 Upscaling Resolution, Denoising, and Sharpening6 minutes
5.2 Repairing Damaged or Historical Footage4 minutes
5.3 Applying AI colorization to Grayscale Media4 minutes
5.4 Improving Live-Stream Quality with AI4 minutes
5.5 Deblurring, Stabilization, and Low-Light Enhancement in Real-Time Video5 minutes
5.6 Auto-generated Captions and Subtitles3 minutes
5.7 Real-Time Sign Language Interpretation5 minutes
5.8 Voiceover and Audio Description for Accessibility6 minutes
5.9 AI in Video Enhancement: Use Case on Mobile Streaming and Case Study on Historical Archive Restoration5 minutes

1 readingTotal 10 minutes

Hands - On10 minutes

1 assignmentTotal 30 minutes

Quiz 530 minutes

2 pluginsTotal 30 minutes

Module 5: Enhancing Video with AI15 minutes
ACTIVITY: Sequence Arrangement15 minutes

What's included

9 videos1 reading1 assignment2 plugins

9 videosTotal 40 minutes

6.1 Using AI to Overlay AR Graphics Based on Camera Feed4 minutes
6.2 Estimating Depth for Anchoring 3D Objects4 minutes
6.3 Real-Time Special Effects with Visual Recognition4 minutes
6.4 Scene Segmentation and Cut Detection3 minutes
6.5 AI-Driven Highlights and Storyboarding: Automating Creative Video Summaries4 minutes
6.6 Interactive Video Branching4 minutes
6.7 Personalized Edits6 minutes
6.8 Emotion Recognition for Engagement4 minutes
6.9 AR-Powered Sports Broadcasting: Real-Time Player Insights and Fan Engagement through AI and Cloud Innovation6 minutes

1 readingTotal 10 minutes

Hands - On10 minutes

1 assignmentTotal 30 minutes

Quiz 630 minutes

2 pluginsTotal 30 minutes

Module 6: Interactive and Immersive AI Video15 minutes
ACTIVITY: Tab15 minutes

What's included

10 videos1 reading1 assignment2 plugins

10 videosTotal 43 minutes

7.1 Crowd Facial Recognition Systems5 minutes
7.2 Motion Detection and License Plate Recognition in Smart Surveillance Systems5 minutes
7.3 Flagging and Filtering Sensitive Content4 minutes
7.4 Managing Uploads on Large-scale Platforms3 minutes
7.5 Visual Content Review Workflows5 minutes
7.6 Compliance with GDPR and Surveillance Laws5 minutes
7.7 Privacy-respecting AI Solutions5 minutes
7.8 Reducing Algorithmic Bias in Surveillance5 minutes
7.9 Use Case: Automated real-time access control in corporate offices using facial authentication3 minutes
7.10 Case Study: Amazon Go’s cashier-less stores using computer vision for security and consumer behavior tracking3 minutes