๐Ÿค– Advanced Track

Applied & Agentic AI

Build autonomous AI agents that reason, plan, and act. Master the OpenAI Agents SDK, CrewAI, LangGraph, AutoGen, and Model Context Protocol (MCP). 6 advanced stages from agent fundamentals to production multi-agent systems.

๐Ÿ“– 6 Stages
โฑ 55โ€“80 Hours
๐Ÿ’ป 6 Advanced Projects
๐Ÿš€ Production-Ready
๐ŸŽ“ Advanced
OpenAI Agents CrewAI LangGraph MCP AutoGen
$9/month
Founding Member โ€” price locked forever
Enroll โ€” Founding Price
  • Full access to all 6 stages
  • All code examples & projects
  • Every TechNodeX course included
  • New content as it's released
  • Community access

500 founding spots available. Price locks in forever.

Course Stages

07

Agentic AI Fundamentals

Agents vs. workflows, ReAct pattern, tool use and function calling, autonomous reasoning loops, human-in-the-loop patterns, safety and guardrails, prompt injection defense. Build your first agent from scratch.

Conceptual + Hands-Onยท6โ€“8 hrsยทPython required
08

OpenAI Agents SDK

Async Python agents, runners and traces, agent handoffs, guardrails for reliability, multi-model integration, structured outputs, error handling, deployment patterns. Build production agents with OpenAI's native SDK.

Advanced Technicalยท8โ€“11 hrsยทAdvanced Python
09

Multi-Agent Frameworks

CrewAI agents, tasks, and tools. LangGraph state graphs, nodes, edges, checkpointing. Langsmith observability. Orchestrating agent teams. Handling coordination and communication between agents at scale.

Architecture + Advancedยท9โ€“12 hrsยทFull stack
10

Microsoft AutoGen

AutoGen Chat with programmable agents, distributed runtime, gRPC communication, agent-to-agent messaging, code execution environments, group conversations, scaling multi-agent systems.

Enterprise Architectureยท8โ€“10 hrsยทAdvanced
11

Model Context Protocol (MCP)

MCP architecture (hosts/clients/servers), building custom MCP servers, integrating MCP with agents, connecting to external systems (APIs, databases, files), MCP marketplace and distribution, standardization for AI integration.

Integration & Protocolยท7โ€“9 hrsยทSystems Design
12

Production Agentic Systems

Trading agents, investment decision-making. Multi-agent orchestration at scale. Framework selection guidance. Deployment strategies (Modal, Ray, Kubernetes). Monitoring and observability. Cost optimization. Building reliable autonomous systems.

Capstone + Productionยท12โ€“18 hrsยทFull deployment

What You'll Be Able to Build

๐Ÿค– Autonomous AI agents
๐Ÿ‘ฅ Multi-agent teams
๐Ÿ”ง Custom MCP servers
๐Ÿš€ Trading/investment agents
๐Ÿง  Reasoning systems
๐Ÿ”Œ API integrations
๐Ÿ“Š Observable workflows
๐Ÿ’พ Persistent state management

Ready to Build Intelligent Agents?

Join as a Founding Member and get full access to this course plus everything we build next. $9/month, locked forever.

Preview Stage 7 Free Get Founding Access โ†’