GCP: Google Cloud AI APIs
Use Google Cloud's pre-trained AI APIs — Vision, Natural Language, Speech-to-Text, and Translation — with simple Python REST calls. No ML knowledge required.
About This Course
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.
Course Curriculum
6 Lessons
GCP: Introduction to Google Cloud AI APIs
Discover Google Cloud's suite of pre-trained AI APIs — Vision, Natural Language, Speech-to-Text, and Translation. Learn what each API does, when to use it versus a custom model, how REST calls are structured, and the authentication and quota model.
GCP: Vision and Natural Language APIs in Python
Make real API calls to the Cloud Vision and Natural Language APIs using Python requests. You'll detect labels and extract text from images, analyze sentiment and entities in text, and combine both APIs to build an image content analyzer.
GCP: Speech-to-Text and Translation APIs
Deep dive into the Speech-to-Text and Translation APIs — how audio encoding works, transcription confidence scores, speaker diarization, language detection, and batch translation. Understand when to use each API tier and how to handle multi-language content.
GCP: Building a Multi-API Content Analyzer
Build a complete content analysis pipeline that combines the Vision, Natural Language, Speech-to-Text, and Translation APIs. You'll implement individual API wrappers, chain them together, and create a unified analyzer that handles multilingual image and audio content.
GCP: AI Image Generation — Nano Banana 2 and Pro
Learn how Google's Nano Banana image generation models work — Nano Banana 2 (gemini-3.1-flash-image-preview) for fast, high-volume generation and Nano Banana Pro (gemini-3-pro-image-preview) for maximum quality with built-in thinking. Understand the image generation API, response_modalities, ImageConfig parameters, and when to choose each model.
GCP: Hands-On Image Generation with Nano Banana
Use the Gemini image generation API in VS Code to generate images from text prompts, edit reference images, build a multi-turn image editing session, and compare the quality output of Nano Banana 2 versus Nano Banana Pro. All exercises use the new google-genai SDK.