5 Lessons
Lead AI Systems Engineer
★ 5.00
(3,900+ Engineers Enrolled)
AI Autonomous Agents, Tool Calling & MCP (LangGraph)
ReAct Loop, LangGraph Stateful Graphs, Multi-Agent Systems & Model Context Protocol
⏱️ 38 Hours
📖 6 Modules
⚡ 18 Interactive Lessons
🏆 Free Verified Certificate
Complete Track Curriculum & Modules
Step-by-step interactive lessons with live browser compilers & coding assignments.
18 Lessons
1
3 Lessons
Module 1: Agentic AI Foundations, Reasoning Loops & Tool Calling
01. What are Autonomous AI Agents? The Shift from Passive Chatbots to Action-Taking Systems
⏱️ 40 mins
•
⚡ Interactive Sandbox
02. Cognitive Architectures: ReAct (Reason + Act), Plan-and-Solve & Reflexion Memory Loops
⏱️ 45 mins
•
⚡ Interactive Sandbox
03. Function Calling & Tool Execution: JSON Schema Contracts, Dynamic Dispatch & Error Recovery
⏱️ 45 mins
•
⚡ Interactive Sandbox
2
0 Lessons
Part 1: Agentic Patterns, Graphs & Protocols
3
4 Lessons
Module 2: LangGraph Architecture: StateGraphs, Nodes, Edges & Memory Checkpointing
04. LangGraph Core: Why DAGs Fail and Why Cyclical Graph Architecture is Mandatory for Agents
⏱️ 45 mins
•
⚡ Interactive Sandbox
05. StateGraph Architecture: TypedDict State Schemas, State Reducers & Channel Updates
⏱️ 50 mins
•
⚡ Interactive Sandbox
06. Conditional Edges: Routing Agent Actions dynamically based on LLM decisions
⏱️ 45 mins
•
⚡ Interactive Sandbox
07. Persistence & Memory: SQLite / PostgreSQL Checkpointers for Resumable Agent Conversations
⏱️ 45 mins
•
⚡ Interactive Sandbox
4
3 Lessons
Module 3: Multi-Agent Collaboration & Supervisor Patterns
08. Multi-Agent Systems (MAS): The Supervisor Pattern (Central Coordinator Orchestrating Specialized Agents)
⏱️ 50 mins
•
⚡ Interactive Sandbox
09. Peer-to-Peer Multi-Agent Communication & Consensus Protocols (Researcher, Coder, Critic, Reviewer)
⏱️ 50 mins
•
⚡ Interactive Sandbox
10. CrewAI vs AutoGen vs LangGraph: Architectural Benchmarks for Enterprise Production
⏱️ 45 mins
•
⚡ Interactive Sandbox
5
4 Lessons
Module 4: Model Context Protocol (MCP) Architecture & Custom Server Building
11. Model Context Protocol (MCP) Deep Dive: The Universal Open Standard for AI Tool Integration (Anthropic Spec)
⏱️ 45 mins
•
⚡ Interactive Sandbox
12. MCP Architecture: Transports (stdio vs SSE), Resources, Prompts & Tool Declarations
⏱️ 50 mins
•
⚡ Interactive Sandbox
13. Building Custom MCP Servers from Scratch in TypeScript / Node.js and Python
⏱️ 55 mins
•
⚡ Interactive Sandbox
14. Connecting MCP Servers to Antigravity, Claude Desktop & LangGraph AI Pipelines
⏱️ 45 mins
•
⚡ Interactive Sandbox
6
4 Lessons
Module 5: Human-in-the-Loop, Time-Travel Debugging & Autonomous Workflows
15. Human-in-the-Loop (HITL): Interrupts, Approval Gates & Manual State Override before Tool Execution
⏱️ 45 mins
•
⚡ Interactive Sandbox
16. Time-Travel Debugging: Rewinding Agent State, Modifying Memory & Forking Execution Branches
⏱️ 50 mins
•
⚡ Interactive Sandbox
17. Sandboxed Tool Execution: Running Untrusted Code safely in Docker Containers & E2B Sandboxes
⏱️ 45 mins
•
⚡ Interactive Sandbox
18. Production Case Study: Building an Autonomous Full-Stack Software Engineer AI Agent from Scratch
⏱️ 60 mins
•
⚡ Interactive Sandbox
Target Big Tech Roles
Google / Meta SDE-2
Senior Full-Stack Architect
Lead Backend Engineer
Skills You Will Master
- Production-Grade Clean Architecture
- V8 Internals, Memory Profiling & Leaks
- Time & Space Complexity Optimization
- Big Tech Behavioral & System Design Edge
Verified Digital Certificate
Complete all 18 lessons to earn a verifiable certificate with unique validation hash for LinkedIn.
Sign In to Unlock Certificate →
⚡
Live Interactive Sandbox
Test real-time code without installing Node, Python or C++ locally. Instant output in browser!
Launch Code Sandbox (8-in-1)