Course Overview
Prompt Engineering & AI Agents for Developers is a hands-on course for developers who want to move beyond casual chatbot use and start building real products on top of large language models (LLMs). You’ll learn how prompting actually works under the hood, how to design prompts that produce reliable, structured output, and how to wire those prompts into autonomous AI agents that can call tools, remember context, and complete multi-step tasks.
What You’ll Learn
- How LLMs process prompts and why that shapes every technique in this course
- Core prompting patterns: zero-shot, few-shot, and chain-of-thought reasoning
- How to get consistent, structured (JSON) output your code can actually parse
- Retrieval-Augmented Generation (RAG) for grounding answers in your own data
- How to design, test, and evaluate prompts like you would test code
- What separates an “agent” from a chatbot, and how tool-calling works
- Agent memory, state, and multi-agent orchestration patterns
- Guardrails, safety, cost, and latency tradeoffs for production systems
- How to deploy and monitor an AI agent in a real application
Who This Course Is For
This course is built for developers, not prompt hobbyists. If you’re comfortable writing code and want a structured, practical path into building LLM-powered features and autonomous agents, this course is for you.
Prerequisites
Basic programming experience (any language) and familiarity with using an API. No prior AI/ML background required.
