Video Summarization and Transcription with Gemini Flash

Processing long video files manually requires substantial time and repetitive effort. Modern multimodal artificial intelligence models make it straightforward to extract key insights, generate timestamped outlines, and create clean text transcripts programmatically. In this text-based course, you will learn how to leverage Gemini Flash to automate video understanding and content digestion. You will explore practical prompt engineering strategies and developer workflows to convert raw video content into usable, structured written information. What you'll learn: - Understand foundational multimodal AI terminology, token limits, and large context windows - Configure API access and prepare video files for multimodal processing - Generate accurate text transcriptions and timestamped topic markers - Apply structured prompt engineering techniques to extract concise summaries and action items - Format model outputs into structured data patterns like JSON for downstream automation - Implement error handling and rate-limiting best practices for reliable pipeline execution The course begins with essential concepts and API fundamentals before guiding you through written, practical code walkthroughs and structured exercises. It is tailored for beginners and curious developers with basic programming familiarity, requiring no prior machine learning background. Read through each chapter and start automating your video content workflows today.