AI-103 Develop AI apps and agents on Azure - ITEL

AI-103 Develop AI apps and agents on Azure

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AI-103 Develop AI apps and agents on Azure

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Course Overview

This course is intended for software developers wanting to build AI infused applications that leverage Microsoft Foundry. Topics in this course include developing generative AI apps, building AI agents, and solutions that implement knowledge connections or tools in your agentic applications. This course also covers multimodal capabilities and understanding of complex content.

Learning Outcomes
Course Prerequisite
Who Should Attend?
Course Outline
Course Fee

Learning Outcomes

This course will equip cybersecurity professionals with the knowledge, skills, and abilities to lead an organization’s information security program.

Who Should Attend?

This course was designed for software engineers concerned with building, managing and deploying AI solutions that leverage Microsoft Foundry. They are familiar with Python and have knowledge on using APIs and SDKs to build agents and generative AI solutions on Azure.

Course Prerequisite

  • Familiar with Python and have knowledge on using APIs and SDKs to build agents and generative AI solutions on Azure

Potential Roles

CISO, Security Architect, Security Manager, Security Consultant, and Security Auditor

Course Outline

Lesson 1: Develop generative AI apps in Azure
  • Plan and prepare to develop AI solutions on Azure
    • Introduction
    • What is AI?
    • Microsoft Foundry
    • Foundry Tools
    • Developer tools and SDKs
    • Responsible AI
    • Exercise – Prepare for an AI development project
  • Select, deploy, and evaluate Microsoft Foundry models
    • Introduction
    • Explore the model catalog
    • Select models using benchmarks
    • Deploy models to endpoints
    • Evaluate model performance
    • Exercise – Select, deploy, and evaluate models
  • Develop a generative AI chat app with Microsoft Foundry
    • Introduction
    • Explore with the model playground
    • Choose an endpoint and SDK
    • Generate responses with the Responses API
    • Generate responses with the ChatCompletions API
    • Exercise – Create a generative AI chat app
  • Develop generative AI apps that use tools
    • Introduction
    • What are tools?
    • Use the code_interpreter tool
    • Use the web_search tool
    • Use the file_search tool
    • Use the function tool
    • Exercise – Create a generative AI chat app that uses tools
  • Optimize generative AI model performance with Microsoft Foundry
    • Introduction
    • Optimize model output with prompt engineering
    • Ground your model with Retrieval Augmented Generation
    • Fine-tune a model for consistent behavior
    • Compare and combine optimization strategies
    • Exercise – Optimize generative AI model performance
  • Implement a responsible generative AI solution in Microsoft Foundry
    • Introduction
    • Plan a responsible generative AI solution
    • Map potential harms
    • Measure potential harms
    • Mitigate potential harms
    • Manage a responsible generative AI solution
    • Exercise – Apply guardrails to prevent the output of harmful content
Lesson 2: Develop AI agents on Azure
  • Develop AI agents with Microsoft Foundry and Visual Studio Code
    • Introduction
    • Understand AI agents and Microsoft Foundry Agent Service
    • Explore development approaches
    • Build your first agent in Microsoft Foundry
    • Set up Visual Studio Code for agent development 
    • Configure and manage agents in Visual Studio Code
    • Extend agent capabilities with tools
    • Test, deploy, and integrate agents
    • Exercise – Build and deploy an AI agent
  • Integrate custom tools into your agent
    • Introduction
    • Why use custom tools
    • Options for implementing custom tools
    • How to integrate custom tools
    • Exercise – Build an agent with custom tools
  • Integrate MCP Tools with Azure AI Agents
    • Introduction
    • Understand MCP tool discovery
    • Integrate agent tools using an MCP server and client
    • Use Azure AI agents with MCP servers
    • Exercise – Connect MCP tools to Azure AI Agents
  • Build knowledge-enhanced AI agents with Foundry IQ
    • Introduction
    • Understanding RAG for agents
    • Explore Foundry IQ
    • Configure data sources for knowledge bases
    • Configure retrieval with Foundry IQ
    • Exercise – Integrate an AI agent with Foundry IQ
  • Integrate your agent with Microsoft 365
    • Introduction
    • Understand Foundry agent publishing options
    • Publish an agent from Foundry portal to Teams
    • Advanced – Use Microsoft 365 Agents Toolkit
    • Access Microsoft 365 data with Work IQ
    • Test and iterate your integrated agent
    • Exercise – Publish a Foundry agent to Teams
  • Build agent-driven workflows using Microsoft Foundry
    • Introduction
    • Understand Workflows
    • Identify Workflow Patterns
    • Create workflows in Microsoft Foundry
    • Add Agents to a Workflow
    • Apply Power Fx in Workflows
    • Maintain Workflows in Microsoft Foundry
    • Use workflows in code
    • Exercise – Create an Agent-driven Workflow
  • Develop an AI agent with Microsoft Agent Framework
    • Introduction
    • Understand Microsoft Agent Framework AI agents
    • Create an Azure AI agent with Microsoft Agent Framework
    • Add tools to Azure AI agent
    • Exercise – Develop an Azure AI agent with the Microsoft Agent Framework SDK
  • Orchestrate a multi-agent solution using the Microsoft Agent Framework
    • Introduction
    • Understand the Microsoft Agent Framework
    • Understand agent orchestration
    • Use concurrent orchestration
    • Use sequential orchestration
    • Use group chat orchestration
    • Use handoff orchestration
    • Use Magentic orchestration
    • Exercise – Develop a multi-agent solution
  • Discover Azure AI Agents with A2A
    • Introduction
    • Define an A2A agent
    • Implement an agent executor
    • Host an A2A server
    • Connect to your A2A agent
    • Exercise – Connect to remote Azure AI Agents with the A2A protocol
Lesson 3: Develop natural language solutions in Azure
  • Analyze text with Azure Language in Foundry Tools
    • Introduction
    • Azure Language in Microsoft Foundry Tools
    • Detect language
    • Extract entities
    • Extract personally identifiable information (PII)
    • Exercise – Analyze text
  • Develop a text analysis agent with the Azure Language MCP server
    • Introduction
    • Understand the Azure Language MCP server
    • Connect and use the Language MCP server with an agent
    • Exercise – Develop a text analysis agent
  • Develop a speech-capable generative AI application
    • Introduction
    • Choose a speech-capable model
    • Transcribe speech
    • Synthesize speech
    • Exercise – Use speech-capable generative AI models
  • Create speech-enabled apps with Azure Speech in Microsoft Foundry Tools
    • Introduction
    • Azure Speech in Foundry Tools
    • Use the Speech to Text API
    • Use the Text to Speech API
    • Configure audio format and voices
    • Use Speech Synthesis Markup Language
    • Exercise – Create a speech-enabled app
  • Develop a speech agent with the Azure Speech MCP server
    • Introduction
    • Understand the Azure Speech MCP server
    • Connect and use the Speech MCP server with an agent
    • Exercise – Use Azure Speech in an agent
  • Develop an Azure Speech Voice Live Agent in Microsoft Foundry
    • Introduction
    • Explore the Azure Voice Live API
    • Explore the AI Voice Live client library for Python
    • Create a Voice Live agent
    • Exercise – Develop a Voice Live agent
  • Translate text and speech with Microsoft Foundry Tools
    • Introduction
    • Translation in Microsoft Foundry
    • Translate text
    • Translate speech
    • Exercise – Translate text and speech
Lesson 4: Extract insights from visual data on Azure
  • Develop a vision-enabled generative AI application
    • Introduction
    • Use a vision-capable model in the Microsoft Foundry portal
    • Develop a vision-based chat app
    • Exercise – Develop a vision-enabled chat app
  • Generate images with AI
    • Introduction
    • What are image-generation models?
    • Explore image-generation models in Microsoft Foundry portal
    • Create a client application that uses an image generation model
    • Exercise – Generate images with AI
  • Generate videos with Microsoft Foundry
    • Introduction
    • Deploy a video generating model
    • Generate video from a prompt
    • Generate video in Python
    • Exercise – Generate video with Sora 2 in Microsoft Foundry
  • Analyze images with Content Understanding
    • Introduction
    • What is Content Understanding?
    • Analyze images with Content Understanding
    • Exercise – Analyze images with Content Understanding
  • Create a multimodal analysis solution with Azure Content Understanding
    • Introduction
    • What is Azure Content Understanding?
    • Create a Content Understanding analyzer
    • Use the Content Understanding API
    • Exercise – Extract information from multimodal content
  • Create an Azure Content Understanding client application
    • Introduction
    • Prepare to use the AI Content Understanding API
    • Create a Content Understanding analyzer
    • Analyze content
    • Exercise – Develop a Content Understanding client application
  • Extract data with Azure Document Intelligence
    • Introduction
    • What is Azure Document Intelligence?
    • Use the Document Intelligence Studio
    • Use prebuilt models
    • Train and use custom models
    • Exercise – Analyze documents with Document Intelligence
  • Create a knowledge mining solution with Azure AI Search
    • Introduction
    • What is Azure AI Search?
    • Extract data with an indexer
    • Enrich extracted data with AI skills
    • Search an index
    • Persist extracted information in a knowledge store
    • Exercise – Create a knowledge mining solution

Course Fee (inclusive of 9% GST)

Please contact us for further information. 

Individual
Criteria Price inclusive of GST

Full Course Fee

$3,270.00

Singapore Citizens (SCs) and Permanent Residents (PRs)
Funding Up to 50% of course fees

$981.00

SCs aged ≥ 40 years old ( SkillsFuture Mid-career Enhanced Subsidy )
Funding Up to 70% of course fees

$381.00
Criteria Price inclusive of GST

Full Course Fee

$3,270.00

Singapore Citizens (SCs) and Permanent Residents (PRs)
Funding Up to 50% of course fees

$981.00

SCs aged ≥ 40 years old ( SkillsFuture Mid-career Enhanced Subsidy )
Funding Up to 70% of course fees

$381.00
Criteria Price inclusive of GST

Full Course Fee

$3,270.00

Singapore Citizens (SCs) and Permanent Residents (PRs)
Funding Up to 50% of course fees

$381.00

SCs aged ≥ 40 years old ( SkillsFuture Mid-career Enhanced Subsidy )
Funding Up to 70% of course fees

$381.00

Course Dates

Course Dates Mode of Delivery Duration
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Certification

Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion by ITEL

Course Code: TGS-2023021373
Course Support Period: 19 May 2023 – 31 Jan 2027

Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of ITEL.

Learner's Testimonials

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AI-103 Develop AI apps and agents on Azure

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