New Cohort Launching Q1 2026

Architect IntelligentAgents

Don't just prompt. Engineer. Master the frameworks, tools, and patterns to build autonomous AI systems that solve complex real-world problems.

Trusted framework for modern AI

LANGCHAINOPENAILLAMAINDEXPINECONE

Not Just Another Course

We don't teach you how to use tools; we teach you how to build them. Deep dive into the architecture of cognitive systems.

Production-Grade Architectures

Learn the patterns used by top AI labs. Move from toy examples to resilient, scalable agentic workflows that handle errors, memory, and state effectively.

Code-First Approach

While we discuss theory, 80% of the course is spent in your IDE building real agents.

Multi-Agent Systems

Orchestrate swarms of specialized agents working in concert to achieve high-level goals.

Build a Portfolio of 7+ Agents

By the end of the course, you'll have a GitHub repository filled with working examples: Research Assistants, Coding Companions, Data Analysts, and more.

THE CURRICULUM

Structured
Learning Path

From "Hello World" to "Hello Jarvis". Our curriculum is designed to take you from understanding the basics of LLMs to deploying complex, tool-using agents.

Foundations & ReAct

Understand the reasoning loop and tool use.

Memory & RAG

Give your agents long-term memory and context.

Planning & Reflection

Enable agents to self-correct and plan ahead.

Multi-Agent Orchestration

Manager-worker patterns and swarms.

agent_workflow.py

class ResearchAgent:

def __init__(self, tools):

self.tools = tools

self.memory = VectorStore()

async def run(self, query):

# 1. Plan

plan = await self.planner.create_plan(query)

# 2. Execute with tools

results = []

for step in plan:

if step.requires_tool:

result = await self.tools.execute(step)

results.append(result)

# 3. Synthesize

return self.synthesizer.summarize(results)

Tests Passed

Agent deployed

Ready to build the future?

Join the waitlist to secure your spot in the next cohort. Early access members get exclusive workshop content.

Limited spots available for the Q1 cohort.