Vertex AI and Gemini with Python SDK

Modern generative AI tools allow developers to integrate powerful language and multimodal capabilities directly into applications. This text-based course guides you through utilizing Vertex AI and Gemini models using clean, production-ready Python code. You will move from core concepts to implementing real-world generative workflows, covering text generation, structured outputs, prompt design, and foundational model interactions. What you'll learn: - Understand foundational AI terminology, cloud environment setup, and authentication basics - Configure and connect to Vertex AI using the official Python SDK - Implement text generation, chat conversations, and multimodal tasks with Gemini - Apply effective prompt engineering patterns and temperature controls in Python - Manage structured data outputs using JSON schemas and type hints - Explore basic retrieval patterns and embeddings for grounded responses The course begins with fundamental definitions and credentials management before progressing into practical code walkthroughs and structured implementation exercises. This course is designed for beginners and developers with basic Python familiarity who want to start working with modern cloud AI models without complex prerequisites. Start reading today to integrate generative AI models into your Python projects.