Generative AI Fundamentals

Posted 6 hours 39 minutes ago by Amazon Web Services (AWS)

Study Method : Online
Duration : 1 weeks
Subject : IT & Computer Science
Overview
Explore generative AI basics, plan projects, and build impactful solutions while understanding use cases and risks.
Course Description

Introduction to Generative AI - Art of the Possible

The Introduction to Generative AI - Art of the Possible course provides an introduction to generative AI, use cases, risks and benefits. With the help of a content generation example, we illustrate the art of the possible.

Planning a Generative AI Project

Planning a Generative AI Project is the second course in the three-part series called Generative AI Essentials for Business and Technical Decision Makers. If you have not done so already, start with the first course in the series, Introduction to Generative AI - Art of the Possible.

You will learn about the technical foundations and key terminology related to generative artificial intelligence (AI). You will explore the steps to planning a generative AI project, and evaluate the risks and benefits of using generative AI.

Developing Generative Artificial Intelligence Solutions

You will explore the generative artificial intelligence (generative AI) application lifecycle, which includes defining a business use case, selecting a foundation model (FM), improving the performance of an FM, evaluating the performance of an FM, and deployment and its impact on business objectives.

This course is a primer to generative AI courses, which dive deeper into concepts related to customizing an FM using prompt engineering, Retrieval Augmented Generation (RAG), and fine-tuning.

Please note that to access the course content for this AWS course, you will go via an LTI link(s) to the AWS platform; you can then return to the FutureLearn course and mark the step as complete in order to receive your certificate.

This course is ideal for Business and technical decision makers, individuals interested in machine learning and artificial intelligence, independent of a specific job role. Alliance Leads, Architects, Business Development/Analyst, Managers, Business Users, Cloud Operators, Data Engineers, Data Scientists, Decision Makers, Developers, DevOps Engineers

Requirements

This course is ideal for Business and technical decision makers, individuals interested in machine learning and artificial intelligence, independent of a specific job role. Alliance Leads, Architects, Business Development/Analyst, Managers, Business Users, Cloud Operators, Data Engineers, Data Scientists, Decision Makers, Developers, DevOps Engineers

Career Path
  • Describe what generative AI is and how it fits in with machine learning (ML).
  • Identify the generative AI services available at Amazon.
  • Describe some of the risks and benefits of generative AI.
  • Explore the steps to planning a generative AI project.
  • Define Retrieval Augmented Generation (RAG) and describe its business application.
  • Understand approaches to evaluate foundation model performance.
  • Explain the cost trade-offs of various approaches to foundation model customization.