Developer's guide to LLM prompting

Developer's guide to LLM prompting
This course covers everything you need to get started with prompt engineering, from system prompts and structural techniques to model-specific strategies. Using a text-understanding use case, you will gain experience with code and industry knowledge.
2 Hours
Free

After the course you will be able to

  • Craft effective prompts using system messages, context injection, and output indicators to control LLM behavior.
  • Understand advanced prompting techniques like zero-shot, few-shot, and chain-of-thought to solve complex tasks.
  • Build a functional LLM application with dynamic user inputs and structured outputs for text understanding use case.

Curriculum

  • Your first prompt and app
  • Utilizing the prompt anatomy
  • Basic prompting
  • Advanced prompting techniques
  • Prompt engineering in industry – an Autogen AI case study
In partnership with
In partnership with
Great training with deep insight This training was very delightful for me. I got a lot of new and detailed insights in prompting. This helps me a lot in development of GenAI-Apps.
Learn a lot from this course. explaining very good, help me a lot!
very simple and precise content. Great!
Very informative
Course instructors

Anish Shah

Anish loves turning ML ideas into ML products. Anish started his career working with multiple Data Science teams within SAP, working with traditional ML, deep learning, and recommendation systems before landing at Weights & Biases. With the art of programming and a little bit of magic, Anish crafts ML projects to help better serve our customers, turning “oh nos” to “a-ha”s!
AI Engineer Weights & Biases

Teodora Danilovic

As the first Prompt Engineer in the UK, Teodora works at AutogenAI to bridge the gap between cutting-edge AI technology and natural language. As an ethicist, she ensures their tech is not only smart, but sustainable and equitable. She is interested in AI, NLP, NLU, philosophy, ethics of AI/alignment, Wittgenstein, formal logic, cognitive computing, classical music, and critical theory.
Prompt Engineer AutogenAI
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