AI for Video Production

AI for Video Production

Instructor: AI CERTs Team

Access provided by VPs commerce and science college

2,827 already enrolled

8 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week 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.

Beginner level

Recommended experience

1 week 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. 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 fundamentals of Artificial Intelligence and its integration with video technologies. Learners explore key AI concepts, video intelligence, and the role of AI in analyzing and enhancing video content. The module builds a foundation for understanding AI-powered video solutions across industries.

What's included

8 videos1 assignment1 plugin

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 assignmentTotal 30 minutes

Quiz 130 minutes

1 pluginTotal 5 minutes

Activity: Flip Card5 minutes

This module explains the process of collecting, organizing, and preparing video data for AI applications. Learners explore video preprocessing, data annotation, feature extraction, and quality improvement techniques. The module helps learners understand how high-quality data supports effective AI video analysis.

What's included

7 videos1 assignment1 plugin

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 assignmentTotal 30 minutes

Quiz 230 minutes

1 pluginTotal 5 minutes

Activity: Hotspot5 minutes

This module covers machine learning techniques used for analyzing and interpreting video data. Learners explore computer vision, object detection, tracking, and classification methods. The module enables learners to understand how machine learning models extract meaningful insights from video streams.

What's included

10 videos1 assignment1 plugin

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 time4 minutes
3.10 Case Study: Dubai Smart City’s AI implementation for object recognition and suspicious behavior detection in public transport hubs4 minutes

1 assignmentTotal 30 minutes

Quiz 330 minutes

1 pluginTotal 5 minutes

Activity: Accordion5 minutes

This module introduces the role of generative AI in creating and transforming video content. Learners explore AI-based video generation, editing, enhancement, and synthetic media techniques. The module helps learners understand how generative models are changing video production workflows.

What's included

11 videos1 assignment1 plugin

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 assignmentTotal 30 minutes

Quiz 430 minutes

1 pluginTotal 5 minutes

Activity: Case Study5 minutes

This module focuses on AI techniques used to improve video quality and viewer experience. Learners explore applications such as upscaling, restoration, noise reduction, and automated editing. The module develops skills to apply AI for creating enhanced and optimized video content.

What's included

9 videos1 assignment1 plugin

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 assignmentTotal 30 minutes

Quiz 530 minutes

1 pluginTotal 5 minutes

Activity: Sequence5 minutes

This module explores AI-powered interactive and immersive video experiences. Learners discover technologies such as virtual environments, intelligent video interactions, and personalized content delivery. The module explains how AI enables engaging and adaptive video experiences.

What's included

9 videos1 assignment1 plugin

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 assignmentTotal 30 minutes

Quiz 630 minutes

1 pluginTotal 5 minutes

Activity: Tab5 minutes

This module examines the use of AI in video surveillance, security, and compliance applications. Learners explore intelligent monitoring, anomaly detection, privacy considerations, and responsible AI practices. The module helps learners understand how AI supports safer and more efficient video management.

What's included

10 videos1 assignment1 plugin

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

1 assignmentTotal 30 minutes

Quiz 730 minutes

1 pluginTotal 5 minutes

Activity: Multiple Choice5 minutes

This module explores emerging trends and future developments in AI-powered video technologies. Learners understand evolving applications, industry opportunities, and the skills required for AI+ Video Practitioners. The module prepares learners to adapt to future advancements in AI-driven video solutions.