“The future of software isn’t just automation—it’s intelligence that acts on your behalf.”
Artificial Intelligence is evolving fast—but the real revolution lies in AI agents: self-directed systems that plan, act, and achieve goals like humans would. Microsoft’s latest “AI Agents for Beginners” video series is your perfect launchpad into this exciting domain.
Whether you’re new to AI or looking to build your first autonomous system, this free course hosted by Korey Stegared‑Pace will take you from concept to code—one step at a time.
What Are AI Agents?
In the first episode, Korey introduces the core concept of AI agents: intelligent programs that observe, reason, and act in real-world scenarios.
Key Components:
- Perception – Reading prompts, inputs, or external context.
- Planning – Deciding what steps to take (task decomposition).
- Action – Using tools, APIs, or memory to get things done.
You’ll also explore how these agents differ from traditional chatbots—and why they’re becoming the future of software.
Why You Should Care
AI Agents aren’t just for research labs anymore. They’re now helping:
- Automate multi-step business processes
- Act as coding assistants or data fetchers
- Manage internal IT tasks
- Collaborate in multi-agent workflows
- Operate autonomously with real-time decision making
And best of all? You can build them too—thanks to Microsoft’s hands-on 10-lesson video series + GitHub resources.
What’s Inside the Course?
Here’s a peek into the full series (11 lessons total):
1️⃣ Introduction to AI Agents
What makes an AI agent? How do they interact with tools and environments? This session sets the stage for everything ahead.
2️⃣ Exploring Agentic Frameworks
Dive into Microsoft’s tech stack—Azure AI, Semantic Kernel, and AutoGen. Learn how to choose the right tools and build flexible architectures.
3️⃣ Agent Design Patterns
Master reusable blueprints like:
- Single-agent loops
- Tool-using agents
- Multi-agent coordination
These design patterns will shape how you think about building intelligent systems.
4️⃣ Tool Use Pattern
Watch agents in action as they call external tools or APIs. Great for tasks like document search, scheduling, or web scraping.
5️⃣ RAG with Agents (Retrieval-Augmented Generation)
Combine LLMs with real-time data retrieval. This pattern improves reliability, context, and relevance in outputs.
6️⃣ Building Trustworthy Agents
Address hallucinations, ethical concerns, and prompt injections. Learn to build agents that are not only smart, but safe.
7️⃣ Planning Pattern
Equip your agents to think before acting. Introduces planning logic for multi-step decision-making.
8️⃣ Multi-Agent Systems
Let agents talk to each other! Build collaborative teams of agents working on complex, distributed tasks.
9️⃣ Metacognition: Agents That Reflect
This game-changer pattern allows agents to reflect, evaluate, and revise their own actions. Think: a self-aware problem solver.
🔟 Production Deployment
Learn how to take your agent from dev to production using Azure AI Agent Service, monitoring, scaling, and more.
Bonus: Model Context Protocol (MCP)
Understand how agents manage memory and context across different models—especially in large, multi-modal environments.
Hands-on with GitHub
Each video lesson is backed by:
✅ Code samples in Python
✅ Azure AI Foundry integration
✅ Live demos you can run locally or in the cloud
✅ A full GitHub repo to fork and explore
Whether you’re prototyping or going into production, this course is built for real-world implementation.
What Makes This Course Special?
Practical-first: More than concepts—get working code and demos
Microsoft-backed stack: Learn the latest from Azure, GitHub, and Semantic Kernel
Design thinking: Each pattern teaches why it works, not just how
Open source resources: Reusable, adaptable, and easy to extend
Future-ready: Builds a foundation to explore LangGraph, OpenAI Swarm, AutoGen, and more
The Future Is Agentic
With AI agents being integrated into Microsoft Copilot, GitHub workflows, and enterprise apps, we’re seeing a massive shift toward intelligent automation. According to recent reports:
- Agent usage has doubled in Microsoft ecosystems
- AI Assistants are solving more than just queries—they’re handling processes end-to-end
The “AI Agents for Beginners” course is your gateway to this agentic world.
Start Building Today
👉 Watch the full playlist here: AI Agents for Beginners – Microsoft Developer YouTube
👉 Clone the code and get hands-on: GitHub Repository
👉 Join the discussion: #AIagents #SemanticKernel #AzureAI #AutoGen #AgenticAI
Final Thought
The rise of AI agents marks a pivotal moment in the way we build and interact with software. Whether you’re a student, developer, or tech leader, now’s the time to learn how to design AI that thinks, acts, and learns.
Let Microsoft’s Korey Stegared‑Pace be your guide—this course might just be the smartest thing you build this year.
Follow us for more Updates
