GCP Generative AI

Master the Google Gemini API using Python. Learn to generate text, work with multimodal inputs (images, PDFs), build multi-turn chat applications, and implement function calling. All exercises use the Python AI container with the google-generativeai SDK and real API calls against Gemini 2.0 Flash.

Learn to use Google Cloud's suite of pre-trained AI APIs Vision, Natural Language, Speech-to-Text, and Translation using simple Python REST calls. No machine learning knowledge required. You'll make real API calls, build individual wrappers for each service, and combine them into a multi-API content analysis pipeline.

The first course in a four-level Google AI learning path for developers. Go from "never touched Google Cloud" to calling the latest Gemini models on the Gemini Enterprise Agent Platform in your own code. You will set up Application Default Credentials against a real GCP project, use the unified `google-genai` Python SDK to call Gemini 3.1 Flash / Gemini 3.1 Pro with streaming and thinking mode, send multimodal prompts (images, PDFs, audio) backed by Cloud Storage, lock down safety settings, and enforce structured JSON output. Every lesson pairs a curriculum-rich AI-led teaching lesson with a hands-on Python lab that ships as a starter project in browser-based VS Code. You finish with a capstone CLI a merchandising assistant that fuses multimodal input, system instructions, safety settings, and JSON schemas ready to build on in Course 200.