Orchestrate with Agents & MCP
A Practical Guide to Building Autonomous AI Systems
This workshop teaches the foundational concepts and practical implementation of Agentic AI—moving beyond "I ask, it answers" to building orchestrated, multi-step systems where AI can plan and act. It culminates in introducing the MCP protocol for securely connecting these agents to real-world business systems.
Workshop Modules
Foundations of Agentic AI
The Shift to Autonomous Systems
Architecting the Single Agent
Brain, Memory, Tools, and Reasoning
Building and Enhancing Agents
Practical Implementation with RAG and LLM Frameworks
Teamwork and Collaboration
Multi-Agent Systems and Defined Roles
Agentic Ecosystems
The MCP Protocol for Secure System Integration
What You'll Learn
Upon completing this practical workshop, you'll be able to design and build autonomous AI solutions by:
Understanding the New AI Paradigm
Grasp the shift from single-step queries to complex, multi-step agentic systems where AI can plan and execute actions.
Mastering Agent Architecture
Define what an AI Agent is (an LLM with thinking, memory, and tools) and learn how to grant agents "permission to act" through tool execution.
Building Smarter Agents
Implement advanced LLM techniques, including Chain of Thought (CoT) for improved reasoning and Grounding (RAG) to mitigate hallucinations by using external data.
Leveraging Orchestration Frameworks
Use open-source frameworks like LangChain to build agents, understand the dynamic Thinking-Action-Observation loop, and integrate custom tools (e.g., calculator, web search).
Designing Multi-Agent Teams
Recognize the limitations of single agents and the power of collaboration. Use frameworks like Autogen to define distinct roles (e.g., Coder, Reviewer, Tester) and facilitate conversational, collaborative problem-solving.
Connecting Agents to the Real World
Understand and utilize the MCP protocol to securely and standardly connect agents to complex business systems (e.g., logistics, CRM), enabling them to take actionable steps based on their reasoning.
Adopting the Architect Mindset
Transition from being a manual coder to an "architect of agents," focusing on high-level strategy and delegating entire business processes to autonomous agent teams.