This 6-hour hands-on course is a practical guide to mastering Generative AI tools like ChatGPT, Claude, and Copilot to boost workplace productivity and innovation. Designed for professionals of all technical levels, the program focuses on advanced prompt engineering, workflow automation, and strategic decision-making. Beyond technical skills, participants will learn to navigate ethical frameworks and limitations, gaining the confidence to lead AI-driven initiatives responsibly.

Educators learn practical strategies for designing effective prompts and evaluating AI-generated content using Microsoft Copilot.

This module teaches users how to simplify personal and professional everyday tasks using generative AI to boost productivity.

A strategic path for business leaders to identify high-value AI opportunities and foster a data-driven corporate culture.

This hub provides academic researchers and IT professionals with specialized training in cloud computing, high-performance computing (HPC), and ethical AI.

This 2.5-hour digital course focuses on maintaining the long-term reliability of machine learning models using Amazon SageMaker.

This 1-hour interactive simulation challenges participants to solve a real-world business problem: converting a library's classic poetry collection into audio files. Using generative AI-powered simulations, you will consult with a virtual customer to design a solution before building it in a live Amazon Web Services Management Console. The module provides hands-on experience with Amazon Polly, AWS Lambda, and Amazon S3 to automate text-to-speech synthesis, helping you develop both technical proficiency and professional communication skills.

In this 5-minute technical spotlight, Lance Martin from LangChain demonstrates how to build and manage reliable AI agents using LangGraph. This concise guide teaches participants how to script agents in Python, visualize complex agentic workflows in LangGraph Studio, and conduct real-time testing. 

It is an ideal resource for developers looking to augment their AWS learning journey with advanced orchestration tools for generative AI.

This 30-minute fundamental course is designed for non-technical business leaders to understand the key components of successful organizational adoption of machine learning. The curriculum focuses on strategies to adapt an organization to achieve and sustain success, utilizing AWS services like Amazon SageMaker, Forecast, and Rekognition. Through a mix of presentations and videos, decision-makers will learn how to integrate ML into their business structures to drive long-term value.

This 1-hour interactive course provides a comprehensive exploration of real-world AI and Generative AI applications across industries such as healthcare, finance, and marketing. Participants will learn to identify high-value use cases, understand the limitations of current technologies, and master the criteria for selecting appropriate models. 

The curriculum also highlights key business metrics and strategic factors for integrating tools like Amazon Bedrock, making it a vital resource for anyone looking to translate AI theory into measurable organizational impact.

This course explores the wide variety of ways to leverage Copilot prompts and Copilot Notebook to meet the specific needs of individual job roles.

This path explores the potential of AI in the classroom, covering generative AI, prompt engineering, and responsible usage.

This module focuses on how AI can automate classroom tasks and provide data-driven insights to support student success.

This session explores how AI tools can be used to create more accessible learning environments and assistive technologies for students with diverse needs.

This workshop dives into the ethical considerations of AI, including fairness, transparency, and safety to mitigate bias.