Foundations of Prompt Engineering

via AWS Skill Builder

Overview

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.