AI-300
AI-Driven Development with Python and Agentic AI
Master AI-Driven Development (AIDD) methodology using Python, Gemini CLI, and build production-quality agentic AI applications. Learn AI-native thinking—architecting with specifications, collaborating with AI agents to ship software systems.
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Details
The era of writing software line-by-line is over. The future isn't about being a faster coder; it's about being a better architect. This course introduces AI-Native Thinking, the fundamental paradigm shift for this new era. It’s a methodology that moves you from "coder" to "orchestrator"—where you'll learn to think in specifications, not just syntax, and collaborate with intelligent systems, not just a compiler. This is how software will be built for the next decade. This course is the practical, hands-on roadmap for that future. You'll start with the Foundations of this new revolution, then get hands-on mastery with your new AI partner, the Google Gemini CLI. You'll learn to communicate like an engineer with Prompt and Context Engineering to get high-quality results. You’ll use this new workflow to build production-grade systems with Python and, finally, learn to architect truly autonomous Agentic AI with the Agents SDK. This isn't a new set of tools; it's a new way to build.
Key Learning Modules
Module 1Foundations: The AI-Driven Development Revolution
Understand the fundamental shift happening in software development. Learn why AI-native thinking matters, how specifications guide AI agents, and the economic opportunity in building AI-native applications. This module establishes the mental models for the entire course.
Module 2Tools Mastery: Google Gemini CLI
Deep dive into Google Gemini CLI—an open-source AI coding agent that works everywhere. Learn installation, authentication, built-in tools, extensions, and the MCP (Model Context Protocol) ecosystem. Master the tool you'll use throughout this course.
Module 3Communication: Prompt and Context Engineering for AIDD
Master the art of communicating with AI agents effectively. Learn prompt engineering for development (not ChatGPT-style prompting), context engineering for large projects, and how to write specifications that produce quality code.
Module 4Python: The AI-Driven Way
Learn Python the AI-native way—concepts first, then AI-generated code with validation. Cover Python fundamentals through advanced topics including data types, control flow, functions, modules, object-oriented programming, async patterns, and documentation. Every topic teaches thinking in specifications, not just memorizing syntax.
Module 5Building Agentic AI: Agents SDK and Multi-Agent Systems
Build production-quality agentic AI applications using Agents SDK. Learn agent architecture, tool use, memory systems, reasoning patterns, and multi-agent orchestration. Transition from building traditional software to building autonomous intelligent systems.
Course Outcomes
Understand how to learn and work with AI agents.
Think like an AI-native developer: specifications-first, validation-focused, and collaboration-oriented
Collaborate effectively with Gemini CLI as an AI coding partner for development tasks
Build production-quality Python applications using modern development patterns and AI assistance
Design and implement agentic AI systems using Agents SDK with multi-agent orchestration
Apply prompt engineering and context engineering techniques for effective AI collaboration
Prerequisites
There are no pre-requisites for this course.