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AI for Video Production · LearnSpace
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AI for Video Production

Курс от AI CERTs
Начальный≈ 10.9 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

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.

Навыки, которые вы освоите

AI WorkflowsResponsible AIData PreprocessingMultimedia

Программа курса

8 модулей · 98 учебных материалов

01Module 1: Foundations of AI in Video Integration12 материалов
Navigation VideoВидеоCourse IntroductionВидеоEbook: Module 1: Foundations of AI in Video IntegrationЧтение1.1 Structure and Types of Video Files, Compression Techniques, and Codec StandardsВидео

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AI CERTs Team

Преподаватель курса

AI for Video Production
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Обучение откроется на Coursera
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Обучение на Coursera

≈ 10.9 ч

8 модулей

Язык: Английский

Субтитры: Венгерский

Часть программы вашего университета
1.2 Frame Rates, Resolutions, and Common Video Formats, followed by Color Spaces, HDR, and Chroma Subsampling for AI ApplicationsВидео
1.3 Key AI Techniques in Visual Data Analysis and Comparing Machine Learning and Deep Learning in Video ProcessingВидео
1.4 Common Applications in Media, Surveillance, and EnterpriseВидео
1.5 Common AI Libraries (OpenCV, TensorFlow, PyTorch, MediaPipe)Видео
1.6 Video Data Handling and Environment Setup for AI DevelopmentВидео
1.7 Use Case and Case Study: AI-Enhanced Video Compression and YouTube’s Intelligent Transcoding SystemВидео
Activity: TabPLUGIN
Quiz 1Задание
02Module 2: Preparing Video Data for AI10 материалов
Ebook Module 2: Preparing Video Data for AIЧтение2.1 Extracting and Annotating Video FramesВидео2.2 Organizing and Structuring Video Datasets for Efficient Supervised LearningВидео2.3 Normalizing Data and Scaling Input SizesВидео2.4 Cropping, Sampling, and Sequencing FramesВидео2.5 Augmentation for Motion Blur, Lighting, and Angle VarianceВидео2.6 Storage and Workflow Management for AI Video DataВидео2.7 Use Case and Real World Case Study on Building AI-Ready Video Datasets for Autonomous DrivingВидеоActivity: HotspotPLUGINQuiz 2Задание
03Module 3: Machine Learning for Video Analysis13 материалов
Ebook Module 3: Machine Learning for Video AnalysisЧтение3.1 Scene Recognition and Classification ModelsВидео3.2 Syncing Audio and Visual Components and Tagging with Multiple Labels in Diverse Video Content.Видео3.3 Working with YOLO, SSD, and Faster R-CNNВидео3.4 Tracking motion using Deep SORT and SORT algorithmsВидео3.5 Managing occlusions and rapid movementsВидео3.6 Using RNNs and LSTMs for temporal activity detectionВидео3.7 Identifying Human and Group BehaviorsВидео3.8 Crowd Monitoring and Anomaly RecognitionВидео3.9 Use Case: Smart surveillance systems detecting abandoned objects in real timeВидео3.10 Case Study: Dubai Smart City’s AI implementation for object recognition and suspicious behavior detection in public transport hubsВидеоActivity: AccordionPLUGINQuiz 3Задание
04Module 4: Generative AI in Video14 материалов
Ebook Module 4: Generative AI in VideoЧтение4.1 Using GANs to Synthesize New Video ContentВидео4.2 Applying Style Transfer in Moving FramesВидео4.3 Frame Interpolation using Deep LearningВидео4.4 Lip-Sync and Voice-to-Motion GenerationВидео4.5 Creating Realistic Avatars and Character MovementВидео4.6 Generating Video from Textual InputВидео4.7 Understanding Deepfakes and Manipulation risksВидео4.8 Detection Methods and Digital WatermarkingВидео4.9 Responsible AI Usage GuidelinesВидео4.10 Use Case: Auto-generation of product explainer videos using avatars and synthesized narrationВидео4.11 Case Study: Synthesia’s solution enables businesses to create AI-driven training and marketing videos in multiple languagesВидеоActivity: Case StudyPLUGINQuiz 4Задание
05Module 5: Enhancing Video with AI12 материалов
Ebook Module 5: Enhancing Video with AIЧтение5.1 Upscaling Resolution, Denoising, and SharpeningВидео5.2 Repairing Damaged or Historical FootageВидео5.3 Applying AI colorization to Grayscale MediaВидео5.4 Improving Live-Stream Quality with AIВидео5.5 Deblurring, Stabilization, and Low-Light Enhancement in Real-Time VideoВидео5.6 Auto-generated Captions and SubtitlesВидео5.7 Real-Time Sign Language InterpretationВидео5.8 Voiceover and Audio Description for AccessibilityВидео5.9 AI in Video Enhancement: Use Case on Mobile Streaming and Case Study on Historical Archive RestorationВидеоActivity: Sequence ArrangemenPLUGINQuiz 5Задание
06Module 6: Interactive and Immersive AI Video12 материалов
Ebook Module 6: Interactive and Immersive AI VideoЧтение6.1 Using AI to Overlay AR Graphics Based on Camera FeedВидео6.2 Estimating Depth for Anchoring 3D ObjectsВидео6.3 Real-Time Special Effects with Visual RecognitionВидео6.4 Scene Segmentation and Cut DetectionВидео6.5 AI-Driven Highlights and Storyboarding: Automating Creative Video SummariesВидео6.6 Interactive Video BranchingВидео6.7 Personalized EditsВидео6.8 Emotion Recognition for EngagementВидео6.9 AR-Powered Sports Broadcasting: Real-Time Player Insights and Fan Engagement through AI and Cloud InnovationВидеоACTIVITY: TabPLUGINQuiz 6Задание
07Module 7: AI in Video Surveillance and Compliance13 материалов
Ebook Module 7: AI in Video Surveillance and ComplianceЧтение7.1 Crowd Facial Recognition SystemsВидео7.2 Motion Detection and License Plate Recognition in Smart Surveillance SystemsВидео7.3 Flagging and Filtering Sensitive ContentВидео7.4 Managing Uploads on Large-scale PlatformsВидео7.5 Visual Content Review WorkflowsВидео7.6 Compliance with GDPR and Surveillance LawsВидео7.7 Privacy-respecting AI SolutionsВидео7.8 Reducing Algorithmic Bias in SurveillanceВидео7.9 Use Case: Automated real-time access control in corporate offices using facial authenticationВидео7.10 Case Study: Amazon Go’s cashier-less stores using computer vision for security and consumer behavior trackingВидеоActivity: Multiple ChoicePLUGINQuiz 7Задание
08Module 8: Future of AI+ Video12 материалов
Ebook: Module 8: Future of AI+ VideoЧтение8.1 Running AI Video Analysis at the EdgeВидео8.2 Reducing Latency in Video InferenceВидео8.3 AI-Powered Summarization and CaptionsВидео8.4 Retail Analytics through Footfall and HeatmapsВидео8.5 AI in Medical Imaging and DiagnosticsВидео8.6 City-Scale Public Safety SystemsВидео8.7 Job Profiles, Responsibilities, and Required SkillsВидео8.8 Building Careers and Opportunities in AI + Video Technology ВидеоACTIVITY: Problem StatementPLUGINCourse SummaryВидеоQuiz 8Задание