New generative AI training courses for people of all roles and experience levels
- People in nontechnical roles, such as marketing, sales, and HR, who want to use generative AI-enabled tools to be more creative, data-driven, and efficient
- Developers and IT professionals who want to use Amazon Q, the most capable generative AI-powered assistant, to improve their productivity and code faster
- Executives seeking to understand how generative AI can address their business challenges
- AWS Partners helping their customers better understand generative AI services and customer use cases
Page overview
Introduction to Generative AI - Art of the Possible
Introduction to Generative AI - Art of the Possible instructs learners how to describe the basics of generative AI, its risks, and benefits. They will also be able to articulate how content generation can be used in their business.
Introduction to Responsible AI explains responsible AI is and why it is important in the context of generative AI. The course covers core dimensions of responsible AI, as well as establishing best practices for fairness, explainability, privacy, robustness, governance, and transparency.
Introduction to PartyRock on AWS Educate teaches you how to use prompts to create your own AI apps.
Essentials of Prompt Engineering introduces the fundamentals of crafting effective prompts. You will gain an understanding of how to refine and optimize prompts for a range of use cases.
Amazon Q – Generative AI-Powered Assistant Learning Plan includes an introductory course on Amazon Q and three “Getting Started” courses to learn the benefits and use cases of each product in the Amazon Q suite: Amazon Q Business, Amazon Q Developer, and Amazon Q in QuickSight.
Amazon Bedrock—Getting Started introduces learners to the service. This one-hour course will introduce developers and technical roles to Amazon Bedrock's benefits, features, use cases, and technical concepts.
Amazon Q Developer Getting Started helps you understand, build, extend, and operate AWS applications throughout the software development life cycle so you can code faster. This fundamental-level course covers the benefits, features, typical use cases, technical concepts, and cost of using Amazon Q Developer.
Foundations of Prompt Engineering is an intermediate course for prompt engineers, data scientists, and developers to learn the principles, techniques, and the best practices for designing effective prompts. You will also learn how to guard against prompt misuse and how to mitigate bias when interacting with FMs.
Generative AI with Large Language Models is a hands-on course that AWS jointly developed with DeepLearning.AI and Andrew Ng, a pioneer in machine learning and education. This three-week course prepares data scientists and engineers to become experts in selecting, training, fine-tuning, and deploying large language models (LLMs) for real-world applications.
Generative AI for Executives is a collection of brief and easy-to-follow videos to help C-suite executives understand how generative AI can help address their business challenges and drive business growth.
Generative AI Essentials for Business and Technical Decision Makers is a three-part series that includes: Introduction to Generative AI - Art of the Possible, Planning a Generative AI Project, and Building a Generative AI-Ready Organization.
AWS and Udemy offer a new upskilling program for executives, Unlocking GenAI Opportunities with AWS. The six-week cohort learning program helps equip leaders with key tools and the knowledge and skills they need to harness the full potential of generative AI to: inspire teams, drive the digital transformation within their organization, and achieve critical business objectives.
AWS Partner: Generative AI on AWS Essentials (Business) teaches AWS Partner customer-facing professionals the basics of generative AI, examines key customer use cases and personas, and explains how generative AI on AWS helps customers reinvent their businesses.
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