Foundations of Prompt Engineering

Resumen

Delve into the world of prompt engineering with this comprehensive course designed to teach you everything from the foundational principles to cutting-edge techniques. Gain the knowledge to design effective prompts, and understand how to apply best practices, guard against misuse, and mitigate bias in foundation models (FMs).

Whether you're a prompt engineer, a data scientist, or a developer, this course, spanning 4 hours, is structured to elevate your skills to the intermediate level.

Key Highlights:

• Master the basics and move on to advanced prompt engineering techniques.
• Learn the essentials of zero-shot, few-shot learning, and more.
• Discover how to tailor prompts to specific models and use cases.
• Address potential prompt misuses and tackle bias in FMs effectively.
• Engage with eLearning interactions for an immersive learning experience.

Who Should Enroll:

This course is aimed at those in the field of prompt engineering, data science, and development seeking to enhance their skills.

Prerequisites:

Prior completion of courses such as 'Introduction to Generative AI - Art of the Possible', 'Planning a Generative AI Project', and 'Amazon Bedrock Getting Started' is recommended.

Detailed Course Outline:

• Introduction to Foundation Models and the fundamentals of Prompt Engineering.
• Diverse Prompt Techniques including Basic, Advanced, and Model-Specific Approaches.
• Practical ways to Address Prompt Misuses and Mitigate Bias.
• Comprehensive course summary.

With lesson-specific insights covering large language models (LLMs), chain-of-thought (CoT) prompting, and model-specific techniques for prominent FMs like Amazon Titan and AI21 Labs Jurassic-2, this course, provided by AWS Skill Builder, offers valuable knowledge for enhancing your expertise in prompt engineering within the fields of Data Science and AI.

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