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A Learning Plan pulls together training content for a particular role or solutions, and organizes those assets from foundational to advanced. User Learning Plans as a starting point to discover training that matters to you. This learning plan is…

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…

Evaluate when to develop custom AI agents tailored to your needs and when to deploy prebuilt solutions from trusted platforms. Learn how to assess trade-offs in time-to-value, complexity, customization, and operational cost. This module also guides you in selecting the right models for your AI agents, from lightweight task-specific agents to advanced multi-modal agents.

Units in this learning path:

• Select AI Service Host Platform
• Custom Built AI Agents
• Evaluate Trade Offs
• Knowledge Check
• Summary

Products: Azure AI Foundry, AI Services, Azure Openai, Ms Copilot

Roles: Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 28 minutes

In this digital learning experience, you will learn the importance of maintaining an SAP clean core when integrating with Amazon Web Services (AWS). You will also explore the capabilities to modernize SAP applications using AWS. The course covers…

Learn how to monitor the performance of your generative AI application using Microsoft Foundry. This module teaches you to track key metrics like latency and token usage to make informed, cost-effective deployment decisions.

Units in this learning path:

• Introduction
• Why Monitor
• What to Monitor
• How to Monitor
• Prepare Scripts
• Informed Decisions
• Exercise
• Knowledge Check
• Summary

Products: Azure AI Foundry

Roles: AI Engineer

Level: Intermediate

Subjects: Artificial Intelligence, App Development

Duration: 60 minutes

This credential earner has applied proficiency in NLP and its role in language understanding, sentiment analysis, and advanced text generation. The individual demonstrated their knowledge on how NLP systems are designed to interpret human language, extract sentiments from textual data, as well as practical experience in NLP techniques and models. The learner is familiar with the skills required for success in a related job role.

With Amazon SageMaker Canvas, data and business analysts can prepare data, train, and deploy machine learning (ML) models without any ML experience or writing a single line of code. You will learn to build ML models for tabular and time series…

Learn how to instrument distributed applications with OpenTelemetry and analyze telemetry data with Azure Monitor to observe and troubleshoot AI solutions on Azure.

Modules in this learning path:

• Instrument App Opentelemetry
• Analyze Telemetry Logs Metrics

Products: Azure Monitor

Roles: Developer

Level: Intermediate

Subjects: Artificial Intelligence, App Development

Duration: 161 minutes

The Official Practice Question Set: AWS Certified AI Practitioner (AIF-C01) consists of 20 questions. This question set aligns with the AIF-C01 version of the exam and exam guide. If you are looking for an assessment that is the same length as the…

The Official Practice Question Set: AWS Certified Machine Learning - Specialty (MLS-C01) consists of 20 questions. This question set aligns with the MLS-C01 version of the exam and exam guide. Official Practice Question Sets feature 20 questions…

The Official Practice Question Set: AWS Certified Machine Learning Engineer - Associate (MLA-C01) consists of 20 questions. This question set aligns with the MLA-C01 version of the exam and exam guide. If you are looking for an assessment that is…

Machine learning (ML) and Artificial Intelligence (AI) are becoming mainstream. In this course, you will spend a day in the life of a data scientist so that you can collaborate efficiently with data scientists and build applications that integrate…