Large Language Models and Prompt Engineering Training
This course teaches how large language models work and how to write effective prompts to get the best results. Participants gain practical skills through real-world use cases.
The Large Language Models and Prompt Engineering Training shows how LLMs work and how well-crafted prompts pull the best results out of them. The program covers an introduction to AI and LLMs, tokens, embeddings and an overview of the training process, prompt engineering fundamentals, zero-shot and few-shot, instruction-based and role-based prompting, and chain-of-thought reasoning. It then moves through content and education applications, business use cases, popular LLM tools and platforms, NLP fundamentals, model errors and hallucinations, data privacy and ethics, prompt chaining and an introduction to APIs. The course closes with a hands-on project and workshop built around a real problem.
An overview of large language model fundamentals and their use cases.
- Overview of artificial intelligence and generative AI
- What are large language models (LLMs)?
- Use cases and examples
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