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This learning plan is designed to introduce generative AI to software developers interested in leveraging large language models without fine-tuning. The digital training included in this learning plan will provide an overview of generative AI,…

This learning plan is designed to introduce generative AI to software developers interested in leveraging large language models without fine-tuning. The digital training included in this learning plan will provide an overview of generative AI,…

This training solution is for EU Government and Public Sector (EU institutions, etc..) users of AWS Artificial Intelligence and Machine Learning services, and covers AWS Cloud concepts, AWS ML fundamentals, data science on AWS, and ML engineering…

This learning plan is designed to introduce data scientists and machine learning engineers to the options available to build, fine-tune and deploy small to large language models (LLM) using Amazon SageMaker. Amazon SageMaker brings together a…

This course explains the foundational concepts and terminology of generative AI and how to drive business value with generative AI. You are introduced to AWS generative AI services and strategies to choose services that are best suited for your…

This credential earner has applied technical knowledge of principles of generative AI, prompt engineering techniques, and Python libraries. The individual has demonstrated general knowledge of the methods, applications, and ethical considerations of using GenAI models. The earner has practiced essential workplace skills and explored generative AI career pathways.

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…

Amazon Q in QuickSight introduces a new suite of business intelligence (BI) capabilities by using the large language models (LLMs) of Amazon Bedrock and combining them with the capabilities of Amazon QuickSight. In this course, you will learn…

This self-paced module helps you build an AI model from the beginning and shows how you can use it in your business without writing a single line of code.

Units in this learning path:

• 1 Intro AI Builder
• 2 Choose AI Capability
• 3 Create First Model
• 4 Ways to Use Models
• 5 Check
• 6 Summary

Products: AI Builder, Power Platform, Power Automate

Roles: Business User, Maker

Level: Beginner

Subjects: Artificial Intelligence, Business Applications

Duration: 30 minutes

Explore AI Builder entity extraction, its application in business scenarios, and use in Power Automate.

Units in this learning path:

• Introduction
• Solve Business Problems
• Exercise
• Check
• Summary

Products: Power Apps

Roles: Maker, Functional Consultant

Level: Beginner

Subjects: Artificial Intelligence

Duration: 20 minutes

AI agents represent the next generation of intelligent applications. Learn how they can be developed and used on Microsoft Azure.

Units in this learning path:

• Introduction
• What Are AI Agents
• Agent Development
• Azure AI Agent Service
• Exercise
• Knowledge Check
• Summary

Products: Azure AI Foundry, Azure AI Foundry Agent Service

Roles: AI Engineer, Data Scientist

Level: Beginner

Subjects: Artificial Intelligence

Duration: 49 minutes