The Agent Course You Asked For Just Dropped — $99 Early Access

Author(s): Towards AI Editorial Team

Originally published on Towards AI.

Pay $99 for What Companies Pay $50K to Implement

“Agent” has become one of the most overused — and underdefined — terms in AI.

Sometimes it means “can call a tool.” Sometimes it’s just an LLM loop with a memory band-aid. Other times, it’s a 12-headed monster duct-taped together with callbacks, custom planners, and vague promises of autonomy.

A few weeks ago, we ran a poll in our Learn AI Together Discord community:

What do you want to learn about agents, and how much are you willing to pay for it?

You gave us honest answers. So we’re returning the favor with a product that’s designed for real-world builders:

A practical, guided early-access course to help you build your first agent stack from first sketch to production deployment.

Not a tutorial. Not a wrapper. A code-in-hand walkthrough of how to architect agents that actually run.

Introducing: Full-Stack Agent Engineering: From Idea to Product

Built-in collaboration with Paul Iusztin of Decoding ML

This is your shortcut from “I’ve seen the diagrams” to “I built and deployed this thing myself.”

🧪 It’s Still Cooking — So Here’s an Early Access Deal

Like any good system, we’re shipping iteratively — with you in the loop.

The $49 early-bird spots? Gone in hours.

Now, only 60 seats remain of the 100 at $99 — and they’re moving fast.

After that, we will directly push the final course for full price at $299.

👉 If you’re late to the tier, DM us — we’ll try to help. But no promises once it’s full.

Early supporters don’t just save 66% ($200!) — you help shape the final course and get lifetime access to all updates.

🎓 Claim your early access seat

🔁 What Early Access Means

This isn’t a one-way video dump. We’re bringing the same frameworks companies pay us >$50K to implement — and opening up the build process with you inside the loop.

Here’s how it works:

1. You enroll: https://academy.towardsai.net/courses/agent-engineering
2. We drop the first modules into your dashboard — videos, notebooks, and cheat sheets included.
3. You run the code, stress-test the flows, and ask “why?” in Discord.
4. We improve. Same week. Every week.

Inside our private Discord, you’ll get:

• Real-time Q&A with us + Paul Iusztin
• Live office hours for complex questions
• Polls to vote on which agent frameworks you want us to dive into next

Your feedback becomes code updates, walkthroughs, and better prompts. Your name (or handle) goes into the credits.

🧱 What You’ll Learn (and Build)

You’ll go from zero to a fully deployed multi-agent system. Each component explained, and each line of code runnable.

You’ll cover:

• Agent Foundations — routing, chaining, memory, tool integration
• Planning Patterns — ReAct, Plan-and-Execute, feedback, and correction
• Multi-Agent Flows — orchestrator → planner → executor models
• System Design & LLMOps — latency, observability, cost management, failure handling
• Capstone Build — A research agent feeds a writing agent, all deployed via FastAPI and Docker

Not a Notion-to-Calendar toy. A production-grade pipeline.

💬 Questions You’re Probably Asking

• Do I need experience?

If you know Python basics, you’re good. We teach each framework from scratch. New to Python? Start here.

• What’s the format?

Short and sharp: videos, code walkthroughs, cheat sheets, and notebooks you can clone.

• Is there a refund policy?

Yep. 30-day money-back guarantee. No hassle.

⚡ Grab Your Spot Before They’re Gone

Someone’s going to brag about getting in for $49. That tier’s already gone.

This is your shot at $99 access, real-time feedback, and a deployable agent stack you actually understand, without paying enterprise consulting prices.

🚀 Sign up now

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Published via Towards AI