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Microsoft DW-104 - Build and Extend your own Agents Using Pro-Code Capabilities

Length 3 days
Price $2475 inc GST

Course overview

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Why study this course

In this three-day course students will learn how to extend Microsoft 365 Copilot using declarative and custom engine agents, leverage Azure AI Foundry for advanced AI development, and explore AI frameworks like Semantic Kernel and AutoGen. Through hands-on labs, students will build and deploy agents using Microsoft’s powerful toolset, ensuring they can create customised solutions for various business needs.

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What you’ll learn

After completing this course, students will be able to:

Gain an understanding of the architecture and components of agent frameworks
Apply pro-code techniques to develop custom agents
Enhance existing agents by adding new functionalities
Integrate APIs to expand agent capabilities
Follow best practices for coding and debugging agents
Acquire a comprehensive understanding of agent lifecycle management
Explore security aspects when developing agents
Learn how to deploy agents across different environments
Evaluate the performance of deployed agents using metrics
Collaborate efficiently with teams throughout the agent development process

Microsoft at Lumify Work

Lumify Work has been delivering effective training across all Microsoft products for over 30 years. We are proud to be both Australia's and New Zealand’s first Microsoft Gold Learning Solutions Partner and the winner of the Microsoft MCT Superstars Award for FY24, which formally recognises us as having the highest quality Microsoft Certified Trainers (MCTs) in ANZ. All Lumify Work Microsoft technical courses follow Microsoft Official Curriculum (MOC) and are led by MCTs.

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Who is the course for?

IT Professionals
Developers
System Administrators
Data Scientists
AI Practitioners

Course subjects

Module 01: Extend Microsoft 365 Copilot with declarative agents

The Copilot Stack
Microsoft 365 Copilot - extensibility options
- Declarative agents
- Custom engine agents
Building declarative agents using natural language coding approach
Building declarative agents using Teams Toolkit for Visual Studio
Adding skills with plugins
Extending Copilot's knowledge through Microsoft Graph connectors
Building your own agents using Copilot Studio (natural language coding approach)

Module 02: Build custom engine agents with Teams AI library and Microsoft 365 Agents SDK

Developing agents on your custom engine using Teams AI Library
Developing agents using Microsoft 365 Agents SDK

Hands on Labs

Streamlining IT Support Operations with Autonomous Copilot Agent using Copilot Studio
Build a declarative agent for Microsoft 365 Copilot using Teams Toolkit
Build your first custom Microsoft Graph connector

Module 03: Develop your own agents with Azure AI Foundry

Understanding Azure AI Foundry and Azure AI Foundry SDK
Develop AI agents with Azure AI Agent Service in Azure AI Foundry
Explore and deploy models from the model catalog in Azure AI Foundry portal
Getting started with prompt flow in the Azure AI Foundry
Implementing Retrieval Augmented Generation (RAG)
Fine-tuning in Azure AI Foundry
Understanding Synthetic data generation and Distillation
Understanding Retrieval-Augmented Fine-Tuning
Evaluate the performance of your custom agent in Azure AI Foundry

Hands on Labs

Build, evaluate and deploy a RAG-based agent with the prompt flow in Azure AI Foundry

Module 04: Build your own multi agents with Semantic Kernel or AutoGen

Understanding Semantic Kernel
Adding AI services to Semantic Kernel
What are Filters and Semantic Kernel Vector Store connectors?
Prompt Engineering with Semantic Kernel
Create plugins for Semantic Kernel
Semantic Kernel Frameworks
AutoGen Framework

Module 05: Secure and govern copilots and agents

Securing and governing copilots with Microsoft Security
Implementing Responsible AI, Trustworthy AI and AI Safety

Hands on Labs

Build a custom engine agent to chat with your data using Teams AI library and Teams Toolkit
Creating a Custom AI Agent with Azure AI Foundry and Search Integration
Develop a Contoso AI Travel Agent with Azure OpenAI and the Semantic Kernel SDK

Prerequisites

A foundational understanding of programming concepts and principles
Familiarity with at least one programming language (e.g., Java, Python, JavaScript)
Basic knowledge of web technologies (HTML, CSS, JavaScript)

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.