Gemini API: Audio and Video to Text Generation

In the era of multimodal AI, processing spoken audio and video footage is no longer restricted to specialized transcription services. By leveraging modern APIs, developers can now feed rich media directly into large language models to extract insights, generate summaries, and perform complex analysis. This text-based course guides you through the foundational concepts of multimodal prompting, showing you how to handle media files programmatically and integrate them with Gemini. You will transition from writing basic text prompts to orchestrating workflows that extract structured data from audio and video inputs. What you'll learn: Understand the foundational concepts of multimodal AI and how models process audio-visual data; Configure and use the Files API to securely upload, manage, and delete media files; Write effective prompts that guide the model to transcribe, summarize, and analyze audio and video content; Apply structured output techniques to format AI responses into clean JSON or markdown; Implement modern error handling and token management strategies for large media files; Practice building text-based workflows that automate meeting minutes and video content tagging. You will start with the fundamental terminology of multimodal prompting and API authentication before moving on to practical code-based examples. The course flows logically from basic file uploads to complex, multi-step analysis pipelines. Designed for beginner developers, technical writers, and AI enthusiasts who want to expand their prompting skills into audio and video, this course requires no prior experience with multimodal APIs. Start reading today to unlock the power of audio and video analysis in your applications.