Build Autonomous Agents Using Azure AI Foundry
Description
This course is your complete guide to building intelligent, autonomous AI agents using Azure AI Foundry, GenAI models, and modern agentic frameworks. Whether you’re a developer, cloud engineer, or AI enthusiast, you’ll gain hands-on experience in designing agents that think, plan, and act.
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We begin with the evolution of AI.
You’ll explore the types of AI agents and learn how to choose the right development platform from over 30+ options, including AutoGen, OpenAI Assistants API, and Copilot Studio.
Through practical labs and guided walkthroughs, you’ll set up your development environment and build your own AI agent using Azure AI Foundry Agent Service. Along the way, you’ll understand the key components of agentic systems: models, tools, and knowledge and how they work together to automate tasks, make decisions, and scale solutions across industries.
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What You’ll learn here in the course:
The history and evolution of AI leading to Agentic AI
Types of AI agents and their real-world use cases
How to choose the right agent development platform
Deep dive into Azure AI Foundry and its GenAI models
Core components of AI agents: models, tools, and knowledge
How to build and deploy AI agents using Azure Foundry Agent Service
Use cases across productivity, research, sales, customer service, and more
Hands-On Labs:
Setting up Azure AI Foundry, VS Code, Python, and CLI tools
Building your first AI agent with Azure Foundry Agent Service
Comparing LLMs, SLMs, and reasoning models for different tasks
Total Students | 461 |
---|---|
Duration | 2 hours |
Language | English (US) |
Number of lectures | 8 |
Number of quizzes | 0 |
Total Reviews | 1 |
Global Rating | 3.5 |
Instructor Name | SkillTech Club |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
78% positive recent sentiment
Momentum
Steady interest
Time & Value
- Est. time: 2 hours
- Practical value: 6/10
Roadmap Fit
- Beginner → → Advanced
Key Takeaways for Learners
- Hands-on practice
- Real-world examples
- Project-based learning
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
Clear explanations and helpful examples.
Watch-outs
No consistent issues reported.
Difficulty
Best suited for
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