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Zero To Mastery

Azure Bootcamp: Build AI Workflows & Agents with Microsoft Foundry

via Zero To Mastery Path

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Overview

Go beyond simple AI chatbots and learn the fundamentals of building powerful, enterprise-level AI workflows, agents and human-in-the-loop automations that mirror real-world AI systems by using Azure's Microsoft Foundry (formerly Azure AI Studio).
  • The fundamental building blocks of AI agents, workflows, and automations
  • How Microsoft Foundry and Agent Framework fit together
  • How to set up Azure AI, Foundry, CLI, VS Code, and Python
  • How agents communicate with Azure AI services
  • The core concepts behind cloud-based AI
  • How to prototype and create agents for human-in-the-loop tasks

Syllabus

  •   Introduction
    • Introduction
    • Exercise: Meet Your Classmates and Instructor
    • Understanding Your Video Player
    • Set Your Learning Streak Goal
    • Course Resources
  •   Microsoft Foundry Core Concepts, Environment & Setup
    • Automation vs. AI Agents: When Enterprises Need Agents
    • AI Agents Core Components
    • Microsoft Foundry & Agent Framework Architecture
    • Setting-Up Azure AI and Microsoft Foundry
    • Setting Up Azure CLI
    • Setting Up VS Code with the AI Toolkit and Microsoft Foundry
    • Setting Up the Python Environment
    • Agent Architecture in Python: How AI Agents Communicate with Azure AI Services
    • Azure AI Projects SDK vs. Microsoft Agent Framework (MAF) SDK
    • Prototyping AI Agents Using the AI Toolkit VS Code Extension
    • Creating an Agent Using the AI Toolkit
    • The Big Picture: How Microsoft Foundry Fits Together
    • Let's Have Some Fun (+ More Resources)
  •   Building a Customer Support AI Agent with Microsoft Foundry and Python
    • Building the Customer Support AI Agent in Microsoft Foundry
    • Testing the Agent in the Foundry Playground
    • Calling the Agent from VS Code
    • Tool Calling in Microsoft Foundry
    • Agent Tools in Microsoft Foundry
    • Adding a File Search Tool to the Customer Support Agent
    • Testing Retrieval-Augmented Generation (RAG) in Preview / Playground
    • Prompt Engineering for Enterprise AI Agents (Best Practices)
    • Debugging Agents with Traces
    • Memory in the Foundry Agent Service
    • Knowledge for Foundry Agents
    • Enabling Strict Grounding for the Customer Support Agent
    • Guardrails: Safety, Control, and Prompt Shields for Enterprise AI Agents
    • Reassigning Guardrails
    • Exercise: Imposter Syndrome
    • Creating New Guardrails
    • Best Practices for Agent Guardrails
    • Building a Front-End for the Agent Using Streamlit
    • Testing the Agent Client App and Walking Through the Code
    • Course Check-In
  •   AI Agents vs. AI Workflows in Microsoft Foundry
    • AI Agents vs. AI Workflows in Microsoft Foundry
    • Building Your First AI Workflow in Microsoft Foundry – Part 1
    • Diving into the Microsoft Foundry Interface for Building Workflows - Part 1
    • Diving into the Microsoft Foundry Interface for Building Workflows - Part 2
    • Building Your First AI Workflow in Foundry – Part 2: Agent Configuration & Execution
    • Calling the Workflow from Python
    • Unlimited Updates
  •   Project: Human‑in‑the‑Loop Content Pipeline
    • Project Overview (Proof of Concept)
    • Creating the Workflow + First Agent
    • Adding the Refiner Agent
    • Human-in-the-Loop Approvals in Enterprise AI Workflows
    • If/Else Logic and Building a Regeneration Loop
    • Testing the Loop and Delivering the Final Approved Result
    • Implement a New Life System
  •   Where To Go From Here?
    • Thank You!
    • Review This Course!
    • Become An Alumni
    • Learning Guideline
    • ZTM Events Every Month
    • LinkedIn Endorsements

Taught by

Andrei Dumitrescu

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