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Free Course

Build Software Products with AI —
From First Principles to Production Pipeline

Most people use AI tools without understanding them. This curriculum gives you the real mental model: what LLMs are, how agents work, and how to build systems that run in production — not just demos.

12 Modules
·
~110 min Total reading time
·
Free Forever
·
Case study Real system, Module 12
Start reading — Module 01 → Get notified of new courses
Who it's for

Built for builders, not academics.

📦
Product builders

You're shipping products with AI and want to understand what's actually happening under the hood.

🚀
Founders

You want to make architectural decisions about AI without delegating your understanding entirely to engineers.

⚙️
Engineers

You're writing code that uses LLMs and want a clean conceptual model, not another tutorial that skips the hard parts.

The curriculum

12 modules. 3 phases. One coherent arc.

Phase 01
Foundations
What LLMs actually are, and how to talk to them properly.
01
Module 1: What is an LLM?
Before you build with AI, you need to understand what it actually is. Not the hype version. The real one.
8 min
02
Module 2: Thinking in Prompts
The system prompt is code. Most people treat it like a search box. That's why their results are mediocre.
9 min
Phase 02
Agents
Memory, tools, orchestration, and multi-agent systems.
03
Module 3: What is an Agent?
A chatbot answers questions. An agent gets things done. Here's the difference, and why it matters.
8 min
04
Module 4: Memory Systems
By default, every agent wakes up with amnesia. Here's how to fix that — and why most courses skip this entirely.
9 min
05
Module 5: Skills and Tools
A tool is a function. A skill is a reusable capability package. Understanding the difference is how you build agents that scale.
8 min
06
Module 6: Orchestrators
When one agent isn't enough. How orchestration works, what it solves, and how to build a coordinator that doesn't become a bottleneck.
8 min
07
Module 7: Multi-Agent Architecture
One well-designed system of specialised agents beats a single overloaded generalist. Here's how to build one.
9 min
Phase 03
Production
Coding pipelines, background work, hardening, and your first real setup.
08
Module 8: Agentic Coding Pipelines
How to structure a codebase, a workflow, and a team of agents that ship quality code consistently — without stepping on each other.
10 min
09
Module 9: Scheduling and Background Work
The shift from tool to autonomous assistant happens the moment your agent starts doing things without being asked.
8 min
10
Module 10: Production Hardening
The difference between a demo and a system you rely on every day is how it behaves when things go wrong.
9 min
11
Module 11: Build Your Own Setup
The end-to-end walkthrough. From zero to a working agent with memory, tools, a coding pipeline, and background work.
12 min
12
Module 12: Case Study — Ultron in Production
A complete retrospective of a real multi-agent system built and run daily. What worked, what didn't, and what I'd do differently.
12 min
Stay in the loop

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More courses

Coming soon.

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