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Part of the bootcamp
Prompt Engineering Crash Course is one workshop inside AI Bootcamp for Software Engineers.
See the full path with mentor reviews and a portfolio outcome.
Zero-shot won't cut it. Learn the advanced techniques that actually ship: few-shot extraction, chain-of-thought reasoning, ReAct agents, and prompt evaluation arrays, all with real Python code.
Engineers are learning here from
Zero-shot won't cut it in production. Learn the techniques that actually ship: few-shot examples, chain-of-thought reasoning, ReAct agents, and prompt optimization, all with real Python code, not toy demos.
The prompting techniques senior AI engineers use daily, and most tutorials skip.
What you'll ship
What you'll learn
Curriculum
Prompt foundations
Learn the core building blocks of effective prompts: structure, clarity, roles, and data separation.
Core techniques
Master few-shot prompting, chain-of-thought reasoning, self-consistency, and prompt chaining.
Advanced patterns
Tackle iterative refinement, guardrails, and meta-prompting for production-grade prompt systems.
Agentic prompting
Build agent-like systems with ReAct prompting, multi-turn conversations, and evaluation pipelines.
Who it's for
who want to move beyond basic ChatGPT usage and build reliable AI features
integrating LLMs into production systems and tired of unpredictable outputs
who learn best by writing code, not just watching theory lectures
FAQ
Yes, basic Python knowledge is required. If you are new to Python, take the Python for GenAI Beginners course first.
We use LiteLLM so you can use any provider: OpenAI, Anthropic, Google AI Studio, or others. A free Google AI Studio key works fine.
No. This course covers production patterns like structured outputs, chain-of-thought pipelines, and ReAct agents, with working Python code, not one-liners.
About 6 hours if you work through the exercises. You can go at your own pace.
The prompting techniques senior AI engineers use daily, and most tutorials skip.