Microsoft Foundry & Python: Enterprise Ai Agents On Azure
Released 2/2026
Created by Andrei Dumitrescu
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 75 Lessons ( 7h 30m ) | Size: 4.2 GB
What you'll learn
Build and deploy production-grade AI agents on Azure using Microsoft Foundry and Agent Framework
Create enterprise AI agents with tool calling, advanced RAG, persistent memory, and strict grounding
Design and orchestrate multi-step AI workflows - call them directly from Python
Implement responsible AI: configure guardrails, prompt shields, and observability for compliant systems
Develop a full Customer Support Agent + Streamlit UI for real-world interaction
Build an automated Support Triage Workflow capstone - intelligent routing and autonomous execution
Requirements
No prior experience with Microsoft Foundry, Agent Framework, or advanced AI agents needed - we start from core concepts.
Basic Python knowledge (helpful: functions, imports, APIs)
Basic familiarity with LLMs (how they work, models, tokens) - no advanced experience needed
Familiarity with cloud concepts (helpful but not required).
An active Azure subscription (free tier sufficient for most exercises).
Description
Welcome to enterprise AI in 2026: the era of autonomous agents is here.
Organizations today demand more than simple chatbots - they need intelligent systems that reason, retrieve knowledge, enforce policies, orchestrate tools, and execute real business workflows at scale.
This hands-on, production-grade course teaches you how to build enterprise AI agents on Azure using Microsoft Foundry (the unified AI app & agent factory) and the Microsoft Agent Framework (the official 2026 successor to Semantic Kernel and AutoGen). This is the exact stack top corporations use for governed, scalable, and production-ready agentic AI.
The Microsoft Foundry Advantage
Microsoft Foundry is the "Agent Factory" for the modern enterprise. It unifies high-performance models (OpenAI, Anthropic, Llama, DeepSeek and more), centralized knowledge via Foundry IQ, and built-in governance in one secure environment. Paired with the open-source Microsoft Agent Framework, you will go from local Python prototypes to compliant production deployments on Azure.
Course Curriculum at a Glance
Phase 1: Foundations & Setup
Agentic AI vs. Traditional Automation: When to use which.
Microsoft Foundry Architecture: Understanding Hubs, Projects, and the Agent Service.
The Microsoft Agent Framework: Deep dive into the unified SDK for Python.
Environment Setup: Azure CLI, VS Code AI Toolkit, and Python SDK configuration.
Phase 2: Building the Customer Support Agent
Foundry Playground: Rapid prototyping and agent configuration.
Tool Calling: Connecting your agents to real-time APIs and business systems.
Foundry IQ & Knowledge Retrieval: Implementing enterprise-grade RAG.
Responsible AI: Setting up Guardrails, Prompt Shields, and Grounding policies.
Front-End Integration: Building a Streamlit UI to interact with your agents.
Phase 3: Multi-Agent Workflows & Orchestration
Agents vs. Workflows: The decision framework for enterprise architects.
Foundry Workflow Designer: Building deterministic, multi-step AI pipelines.
Agent Communication Patterns: Orchestrating "teams" of agents to solve complex tasks.
Observability: Using Traces and Application Insights to debug and monitor agent reasoning.
Phase 4: The Capstone Project
Design & Architecture: Modeling a Support Triage system for a large organization.
Intelligent Routing: Using LLMs to categorize and route requests with high precision.
Autonomous Execution: Validating end-to-end production-grade agent workflows.
What You Will Build
Full Customer Support AI Agent: An autonomous system with reasoning, multi-step resolution, and tool-calling capabilities.
Advanced RAG with Foundry IQ: Grounding your agents in enterprise data using Azure AI Search and Foundry's intelligent retrieval layer.
Memory-Enabled Corporate Agents: Systems with persistent state that maintain context across complex, long-running business cycles.
Strict Enterprise Governance: Implementing AI guardrails, prompt shields, and Responsible AI controls to ensure safety and compliance.
Streamlit Front-End: A professional dashboard for agent interaction, testing, and real-time observability.
Capstone Project: An Automated Support Triage Workflow featuring intelligent ticket routing, prioritization, and autonomous execution.
Who This Course Is For
Enterprise Developers & Architects leading the transition to agentic AI on Azure.
Cloud & Platform Engineers advancing from simple LLM calls to complex AI orchestration.
Python Developers who want to master the official, 2026-standard Microsoft AI stack.
Consultants & Technical Managers delivering autonomous business solutions for regulated industries.
Why This Course Stands Out
100% Current: Fully updated for the 2026 Microsoft Foundry rebrand and Agent Framework standards.
Enterprise-First: We prioritize security, compliance, and grounding-not just "happy path" demos.
Production Patterns: Learn the architectures required for deployment in large, regulated organizations.
Practical Python Integration: Focus on the Python SDK patterns used by professional AI engineers.
Enroll Today The future of enterprise software is agent-driven. Join now to master Microsoft Foundry and the Microsoft Agent Framework, and position yourself at the forefront of the 2026 AI transformation.
Who this course is for
Enterprise developers and architects building agentic AI on Azure
Cloud/platform engineers on Azure wanting to master AI orchestration and autonomous systems
Python developers entering production-grade enterprise AI
AI consultants, technical leads, and teams delivering governed, compliant enterprise AI solutions in regulated industries
Anyone aiming to skill up for 2026's agent-driven transformation on Microsoft Azure
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