Top AI Courses from Amazon/AWS

AI is rapidly growing in popularity, with companies across industries tapping into its innovation potential. AWS is at the center of this trend, offering robust AI solutions and services. AWS courses on AI provide valuable knowledge and skills to help individuals effectively leverage AI to gain an edge in today's competitive environment. In this article, we highlight the best AI courses on AWS that will equip learners with the skills they need to effectively leverage AI, from fundamental knowledge to advanced techniques, to give them an edge in today's competitive environment.

Machine learning terminology and processes

This course introduces the fundamental concepts of machine learning and provides an in-depth look at each step of the ML process, covering common terminology and techniques used in ML projects, enabling you to comprehensively understand and discuss the entire ML process.

Practical Data Science with Amazon SageMaker

This course provides an immersive experience into the life of a data scientist with a focus on ML solutions using Amazon SageMaker on AWS. Learners gain insight into the ML process, roles, and responsibilities, as well as hands-on experience building, training, and deploying ML models, and addressing operational challenges.

Machine Learning Fundamentals for Business and Technical Decision Makers

This foundational course will guide learners to understand the fundamentals of machine learning and evaluate the benefits and risks of machine learning in a business context. It will also identify the requirements necessary for a successful ML project and how to adapt your organization to sustain successful ML adoption.

Low-Code Machine Learning on AWS

This course teaches data and research analysts how to use Amazon SageMaker Data Wrangler and Autopilot to prepare data, train, and deploy ML models with minimal coding. It covers building ML models for tabular and time series data, best practices, and proof-of-concept support to help data scientists solve business problems.

Planning a Generative AI Project

This course introduces the technical fundamentals and key terminology of generative AI. It guides you through planning a generative AI project and evaluates the associated risks and benefits.

Introduction to Generative AI – The Art of the Possible

This is a short beginner-friendly course that introduces generative AI, its use cases, risks, benefits, and illustrates them with content generation examples. At the end, learners will understand the basics of generative AI, its benefits and risks, and how to apply content generation to their business.

Amazon CodeWhisperer – Introduction

In this foundational course, you will learn how to install and use Amazon CodeWhisperer, a generative AI coding companion that increases efficiency with code suggestions and security scanning. We will cover key features such as code completion, open source tracking, security, and subscription options.

Prompt Engineering Basics

This course on prompt engineering covers the principles, techniques, and best practices for designing effective prompts, including zero-shot and few-shot learning, as well as advanced techniques such as identifying appropriate prompts for specific models, preventing misuse, and debiasing underlying model responses.

Building generative AI applications with Amazon Bedrock

This is an advanced course designed for data scientists and ML developers looking to build generative AI applications using Amazon Bedrock API and LangChain. It covers architectural patterns, integration techniques, and hands-on labs for generating text, question answering, and chatbots, with a focus on leveraging AWS tools for monitoring, security, and governance.

Building Language Models on AWS

This course on Amazon SageMaker is aimed at experienced data scientists and focuses on building and optimizing language models. It covers options for storing, ingesting, and training large text corpora, as well as challenges and customization of deploying basic models for generative AI tasks using SageMaker Jumpstart.