Build an AI agent from scratch
€ 75,00 exl. VAT
Build an AI Agent from scratch, no frameworks, no abstractions.
This handbook is a complete end‑to‑end guide for developers who want to understand how agentic systems actually work. You’ll implement every core component yourself, reasoning loops, tool use, memory, planning, safety, and autonomy, using only Python and LLM APIs.
Across eight modules, you’ll move from fundamentals to a fully working agent that can plan tasks, use tools, retrieve information, store memory, and operate autonomously. Each chapter includes hands‑on exercises and practical code you can reuse.
If you want to build an agent by understanding the architecture, not by copying snippets, this handbook gives you the blueprint.
Why this handbook matters
Most developers try to build agents by stitching together tutorials, copying framework examples, or relying on black‑box abstractions. The result is usually the same: fragile agents that break, loop, hallucinate, or fail silently. This handbook fixes that.
You’ll learn the engineering principles behind agent systems, the same principles used in real production environments:
- How reasoning loops actually work
- How to design safe and reliable tool‑calling
- How to build memory that improves performance instead of bloating it
- How to structure prompts for predictable behavior
- How to prevent runaway loops and unsafe autonomy
- How to combine everything into a robust, real‑world agent
By the end, you won’t just “use” agents, you’ll understand them deeply enough to build your own, debug them, extend them, and trust them.
This is the handbook for developers who want to move beyond frameworks, beyond hype, and into real agent engineering.
Who this handbook is for
This handbook is for developers, engineers, indie builders, and technical learners who want to understand AI agents at a foundational level and build them from scratch using Python and LLM APIs, without relying on frameworks or black‑box abstractions.
Where readers are now
You’re curious about AI agents, maybe you’ve tried a few frameworks, copied some examples, or experimented with simple loops. But the deeper mechanics still feel fuzzy.
You might be wondering:
- How do agents actually think step‑by‑step?
- What’s happening inside a reasoning loop?
- How do tools, memory, and planning really work?
- Why do agents sometimes break, loop, or hallucinate?
- How would I build one myself without relying on a framework?
Right now, you’re standing at the edge of understanding, you know what agents can do, but not yet how to engineer them from the ground up.
Where they will be after reading
By the end of this handbook, you’ll be able to build a complete AI agent from scratch, using only Python and LLM APIs, and you’ll understand every moving part.
You will:
- Know exactly how reasoning loops, planning, memory, and tool use work
- Build your own agent architecture step‑by‑step
- Design safe, reliable, debuggable agent behavior
- Implement tools, vector memory, planning modules, and autonomy controls
- Understand what frameworks do behind the scenes, and when you actually need them
- Have a fully working real‑world agent you built yourself
You’ll move from experimenting to engineering, from copying code to designing systems, and from wondering how agents work to building your own confidently.
FAQs
Eligibility & Access
Access to all course content is now available worldwide. Simply create an account to get started.
Course Format & Lifetime Access
Our courses are designed to be fast‑paced and short, helping you learn efficiently. Once enrolled, you receive lifetime access to all course materials, so you can revisit them anytime.
Payment terms
Credit/Debit Card and iDEAL. For faster and more secure transactions, we recommend using iDEAL.
Intellectual property
Learners may not resell, share, or redistribute course materials; all content is provided solely for personal educational use
Support
Learners may contact us at admin@shivatechhub.com for any technical or billing inquiries. Our team aims to respond within one business day.
Refunds & Cancellations
All sales are final. No refunds will be issued.