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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…

Learn the full GenAIOps lifecycle for generative AI applications, from planning and prompt management to evaluation, automated testing, monitoring, and tracing in production.

Modules in this learning path:

• Plan Prepare Genaiops
• Prompt Versioning Genaiops
• Evaluate Optimize Agents
• Automated Evaluation Genaiops
• Monitor Generative AI App
• Tracing Generative AI App

Products: AI Services, Microsoft Foundry, Github

Roles: Data Scientist, AI Engineer, Devops Engineer

Level: Intermediate

Subjects: Artificial Intelligence, Machine Learning, Natural Language Processing, Devops

Duration: 368 minutes

Learn how to select fine-tuning methods (SFT, RFT, DPO), recognize agent quality problems, prepare training data, and design optimization strategies using hyperparameter configuration and iterative evaluation.

Units in this learning path:

• Introduction
• Select Finetune Method
• Scenarios
• Prepare Data
• Optimize Finetune
• Exercise
• Knowledge Check
• Summary

Products: Azure AI Foundry

Roles: Data Scientist, AI Engineer

Level: Intermediate

Subjects: Artificial Intelligence, Machine Learning, Natural Language Processing

Duration: 89 minutes

Learn how to optimize business processes using Microsoft 365 Copilot.

Modules in this learning path:

• Unlock Productivity Unleash Creativity AI Powered Chat
• Draft Impactful Documents Using AI
• Present Copilot Microsoft Powerpoint
• From Inbox Impact Improve Your Email Workflows AI
• Uncover New Data Insights AI

Products: M365, Office 365

Roles: Business User

Level: Beginner

Subjects: Artificial Intelligence, Business Applications, Compliance, Productivity, Security

Duration: 180 minutes

Explore complementary strategies to optimize generative AI model performance, including prompt engineering, system messages, model parameters, Retrieval Augmented Generation (RAG), and fine-tuning. Learn when to use each strategy and how to combine them.

Units in this learning path:

• Introduction
• Prompt Engineering
• Retrieval Augmented Generation
• Fine Tune Model
• Compare Combine Strategies
• Exercise
• Knowledge Check
• Summary

Products: Azure AI Foundry

Roles: Data Scientist, AI Engineer

Level: Intermediate

Subjects: Artificial Intelligence, Machine Learning, Natural Language Processing

Duration: 101 minutes

Learn how to optimize model training in Azure Machine Learning by using scripts, jobs, components and pipelines.

Modules in this learning path:

• Run Training Script Command Job Azure Machine Learning
• Train Models Training Mlflow Jobs
• Perform Hyperparameter Tuning Azure Machine Learning Pipelines
• Run Pipelines Azure Machine Learning

Products: Azure Machine Learning

Roles: Data Scientist

Level: Beginner

Subjects: Machine Learning

Duration: 157 minutes

In this course, you will explore two techniques to improve the performance of a foundation model (FM): Retrieval Augmented Generation (RAG) and fine-tuning. You will learn about Amazon Web Services (AWS) services that help store embeddings with…

Learn how to design multi-agent solutions with the Microsoft Agent Framework SDK

Units in this learning path:

• Introduction
• Understand Agent Framework
• Understand Agent Orchestration
• Use Concurrent Orchestration
• Use Sequential Orchestration
• Use Group Chat Orchestration
• Use Handoff Orchestration
• Use Magentic Orchestration
• Exercise
• Knowledge Check
• Summary

Products: AI Services

Roles: AI Engineer, Developer, Solution Architect, Student

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 73 minutes

Discover how Microsoft Clipchamp streamlines postproduction for animated projects, including AI-powered color grading, transitions, asset integration, and export optimization.

Units in this learning path:

• Introduction
• Video Editing Enhancement Microsoft Clipchamp
• Video Enhancement Techniques Color Transitions Resizing
• Integrate AI Generated Assets Final Animations
• Import Assets Apply Effects Finalize Animation Projects
• Final Animation Review Export
• Exercise
• Knowledge Check
• Summary

Products: Ms Copilot

Roles: Student, Maker, K 12 Educator

Level: Beginner

Subjects: Artificial Intelligence

Duration: 95 minutes

This module guides administrators on how to manage Microsoft 365 Copilot, including licensing and access control, billing and usage monitoring, prompt governance, and strategies for tracking and driving user adoption.

Units in this learning path:

• Introduction
• Manage Copilot Licenses Billing
• Monitor Adjust Copilot Usage
• Monitor Copilot Usage Adoption
• Manage Govern Copilot Prompts
• Apply Operational Best Practices
• Knowledge Check
• Summary

Products: Microsoft 365 Copilot, Microsoft 365 Copilot Chat, Ms Copilot

Roles: Administrator, Business User, Developer, Student

Level: Beginner

Subjects: Artificial Intelligence, Business Applications, Productivity

Duration: 55 minutes

This module guides administrators through configuring user access and permissions for agents, creating, editing, testing, and publishing Copilot agents, managing agent approval and governance, and monitoring the full lifecycle of agents using Microsoft 365 and Power Platform tools.

Units in this learning path:

• Introduction
• Create Copilot Chat Agent Part 1
• Create Copilot Chat Agent Part 2
• Create Sharepoint Agent
• Test Edit Agents
• Manage User Access Permissions Agents
• Examine Agent Approval Governance
• Monitor Manage Agent Lifecycle
• Knowledge Check
• Summary

Products: M365, Office 365

Roles: Administrator, Business User, Developer, Student

Level: Beginner

Subjects: Artificial Intelligence, Business Applications, Productivity

Duration: 70 minutes

Learn how to perform hyperparameter tuning with a sweep job in Azure Machine Learning.

Units in this learning path:

• Introduction
• Define Search Space
• Configure Sampling Method
• Configure Early Termination
• Use Sweep Job Hyperparameter Tuning
• Exercise Run Sweep Job
• Knowledge Check
• Summary

Products: Azure Machine Learning

Roles: Data Scientist

Level: Beginner

Subjects: Machine Learning

Duration: 46 minutes