AI Agents & Orchestration
Design autonomous and multi-agent systems with LangChain, LangGraph and agent frameworks.
Beginner
4 coursesBasics of LangGraph Workflows
langgraph · workflows · ai · agents · orchestration · artificial · intelligence · generative · errors · studio · workflow · pydantic · functions · memory · node · version · basic.py · bas...
FastMCP Foundations
FastMCP is a high-level, opinionated Python framework built on top of the Model Context Protocol (MCP) — the open standard, created by Anthropic, that lets LLMs and agentic AI systems int...
Introduction to LangGraph
This introductory module presents LangGraph in its entirety: what it is, why it was created, and the main building blocks that make it up (state management, graphs, testing/debugging, dep...
Introduction to the Model Context Protocol (MCP)
model · context · protocol · mcp · ai · agents · orchestration · artificial · intelligence · generative · alternatives · clients · hosts · servers.
Intermediate
12 coursesAgentic AI for Developers
Agentic AI across the SDLC: memory, tools, MCP, RAG, agentic coding and multi-agent observability.
Developing AI Agents with OpenAI AgentKit
Build, deploy and govern agents with OpenAI AgentKit — Agent Builder, tool calling, guardrails and evals.
Applying Multi-Agent Systems to Daily Tasks
Understand and design multi-agent systems with side-by-side framework comparisons and implementation patterns.
Frameworks for Developing LLM Agents
Refine prompts, add RAG context, build feedback loops and orchestrate conversational memory with Spring Boot.
LangGraph Essentials for Developers
LangGraph from concept to production: flow control, ReAct agents, memory, streaming and LangSmith evaluation.
LangChain Industry Use-cases and Best Practices
LangChain in healthcare, finance, retail and manufacturing, analytics assistants and production checklists.
Agent-To-Agent Protocol
By the end, you have a working multi-agent pipeline where agents built on completely different stacks collaborate through a shared protocol.
Agentic AI with LangGraph
Generative AI tools are now easily capable of performing complex multi-step processes involving sophisticated assessments and real-world transactions. When we entrust an AI to carry out s...
Event-driven Agentic AI
Generative AI tools wait for prompts before doing anything. Production systems don't work like that — they talk in events. A purchase, a breakdown, an approval, a sudden rise of a sensor:...
Managing Hybrid Human-AI Teams
managing · hybrid · human-ai · teams · ai · agents · orchestration · artificial · intelligence · generative · agent · core · designing · feedback · loops · monitoring · organization · pla...
Model Context Protocol in Practice
model · context · protocol · ai · agents · orchestration · artificial · intelligence · generative · mcp · server · local · servers · oauth · tools · remote · resources · introducing · pro...
Using the C# Model Context Protocol SDK
This course is a hands-on journey through building Model Context Protocol (MCP) servers with the official C# MCP SDK. MCP is a standardized way to expose functionality from custom applica...
Advanced
7 coursesDeveloping Multi-agent Systems
Design multi-agent systems with LangGraph — topologies, negotiation, hierarchies and game theory.
GenAI Orchestration and Agent Patterns
Multi-step reasoning, multi-agent collaboration, tool chaining, error recovery and orchestration best practices.
Memory-Augmented and Persistent Agents
Why memory matters for agents, persistent-memory techniques and an end-to-end multi-agent demo.
Advanced LangGraph Techniques
A reflection agent does not just generate a result: it evaluates its own work through a structured critique process. Instead of asking an LLM to directly generate its final result, an age...
Deploying LangGraph Applications
This training covers the fundamental aspects of deploying LangGraph applications, from the integration of third-party APIs to scalable deployment with FastAPI and Uvicorn.
Domain-specific LLM Agents
Large Language Models (LLMs) are deep learning models designed to understand and generate text. They are trained on vast amounts of data to develop a generalized understanding of language.
Model Context Protocol: Advanced Features
model · context · protocol · features · ai · agents · orchestration · artificial · intelligence · generative · mcp · server · client · custom · sampling · tools · filters · agentic · chan...
Interested in AI Agents & Orchestration?
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