20 hours
9-11am Pacific
4 weeks
An intensive, hands-on course designed to transform how you work with large language models (LLMs). Whether you’re building AI products, enhancing workflows, or just getting started with applied AI, this course equips you with the most powerful techniques in the prompt engineering toolkit—used by cutting-edge startups and AI research labs alike.
This course bridges the gap between theoretical understanding and real-world implementation. You’ll go beyond just prompting ChatGPT and dive into advanced strategies like Chain-of-Thought, Retrieval-Augmented Generation (RAG), ReAct agents, prompt injection defense, and automatic prompt generation.
• Taxonomy of Prompting Techniques
• Tactics to Improve Reliability
• Structuring Inputs and LLM Outputs
• Zero-shot/Few-shot/Many-Shot Prompting
• Chain of Thought Prompting
• Self-Reflection & Self-Consistency
• Meta Prompting & Automatic Prompt Engineering
• ReAcT Prompting Framework
• Retrieval Augmented Generation (RAG)
• Fine-Tuning LLMs
• Function Calling & Tool Usage
• LLM-Powered Agents (Agentic Workflows)
• LLM Evaluation & Judge LLMs
• AI Safety & Moderation Tools
• Adversarial Prompting (Jailbreaking and Prompt Injections)
• Common Real-World Use Cases of LLMs
• Overview of LLM Tools
Join for $2200
Interact directly with instructors in small groups. Saturday and Sunday, 2 hours per day, 9–11 am Pacific.
Founders of StaffAgent.AI with hands-on, real-world experience building a voice agent platform
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