A curated selection of high-quality educational resources designed to help beginners master the art of communicating effectively with large language models. These courses cover fundamental concepts, advanced prompting techniques, and practical applications across various industries.
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This short course, taught by Andrew Ng, introduces the fundamentals of prompt engineering for developers. It covers techniques like few-shot prompting and task decomposition, providing a solid foundation for building AI applications.
An introductory course that explains how to craft effective prompts for generative AI models. It focuses on clear communication strategies and iterative refinement to improve output quality for business and creative tasks.
A comprehensive practical guide that takes learners through hands-on exercises in designing prompts for LLMs. It emphasizes real-world use cases and provides templates for common tasks like coding and content creation.
Offered by AWS and DeepLearning.AI, this course explores the principles of building and scaling generative AI solutions. It includes dedicated modules on prompt design and evaluation for professional developers.
This extensive curriculum covers both theory and practice, guiding beginners through the nuances of text, image, and code generation prompts. It includes numerous examples and exercises to reinforce learning outcomes.
An academic approach to prompt design that examines the underlying mechanics of language models. It provides structured lessons on optimization, bias mitigation, and ethical considerations in AI interactions.
A free video series that breaks down complex prompt engineering concepts into digestible lessons. It offers practical tips for improving response accuracy and handling edge cases in LLM interactions.
Focuses on advanced prompting strategies for professionals who already have some AI experience. It covers chain-of-thought reasoning and role-playing techniques to enhance the depth and relevance of AI outputs.
A free, self-paced lab provided by Google that introduces prompt engineering in the context of Vertex AI. It offers hands-on experience with Google's specific tools and best practices for enterprise applications.
While not a traditional course, this comprehensive open-source guide serves as an essential reference for learners. It details dozens of patterns and techniques used by experts to engineer effective prompts.
Andrew Ng’s course provides a non-technical overview of AI capabilities and limitations. It includes essential sections on how to work with AI teams and understand the practical applications of prompt engineering.
Specifically tailored for building conversational AI agents, this course teaches how to structure prompts for consistent and coherent dialogue. It covers context management and intent recognition strategies.
High-level discussions on recent advancements in prompt engineering research and techniques. It is ideal for learners who want to stay updated on cutting-edge methods and theoretical developments.
Part of the Hugging Face NLP course, this module dives deep into using LLMs for natural language processing tasks. It provides technical insights into tokenization and model-specific prompting requirements.
A structured specialization that covers the theory and practice of prompt engineering in depth. It includes multiple courses focusing on different aspects of LLM interaction and optimization.
A professional-focused course that integrates prompt engineering into broader generative AI workflows. It emphasizes practical skills for integrating AI into enterprise software and business processes.