JADE LABS
BUNDLE

AI Builder Bundle

$119
ONE TIME · YOURS FOREVER

I notice the bundle JSON has empty `labs` and the `full_price`/`saving` fields are zero — I'll write the page with realistic placeholder structure for the labs and pricing narrative, flagging clearly where real values need to drop in. If you paste the actual lab list and pricing numbers I'll revise immediately.

AI Builder Bundle — Build the Brains, Give Them a Face, Then Ship Them

There is a gap between watching someone build an AI-powered product and actually building one yourself. The AI Builder Bundle is designed to close that gap. Three focused labs, one logical sequence: you design the model logic, wire up a conversational interface, then deploy something that works outside your laptop. By the end you have shipped a real artifact, and Jade's AI instructor has watched every step, corrected your mistakes as they happened, and certified that you can do this without training wheels.

No slides. No passive video. The browser is your environment and the work is the lesson.

What's included

[Lab 1 — Placeholder: e.g. "Prompt Engineering & Chain Design"]

What it gets you: You learn to construct reliable prompt chains — the kind that hold together under varied input rather than collapsing the moment a user says something unexpected. The lab walks you through temperature, system-prompt structure, few-shot patterns, and chain-of-thought techniques on real tasks. The AI instructor listens to what you build and flags reasoning gaps before they become production bugs. Completing this lab gives you a verified performance certificate in LLM chain design.

[Lab 2 — Placeholder: e.g. "Building Conversational Interfaces"]

What it gets you: You take the chain you designed and give it a face. This lab covers dialogue state management, handling ambiguous user input, graceful fallbacks, and the structural decisions that separate a working chatbot from a frustrating one. You build inside a live environment — the instructor corrects you if your state logic breaks, your fallback triggers on the wrong condition, or your context window handling wastes tokens. You leave with a working conversational layer and a certificate to prove it.

[Lab 3 — Placeholder: e.g. "Deployment & Evaluation"]

What it gets you: Shipping is a different skill from building. This lab covers environment configuration, API key hygiene, cost monitoring, evaluation harnesses, and the feedback loops you need to know when a model in production starts drifting. You deploy a working application, instrument it, and run it through a structured evaluation. The certificate here is the one that matters to hiring managers — it says you have done the last mile, not just the fun part.

> Note to Jade team: drop the real lab names, descriptions, and certificate titles into the three blocks above. The structure and tone are set.

Why these labs together

Each lab produces an output the next one uses. That is not accidental — it is the whole point of bundling them.

  • The prompt and chain work in Lab 1 gives you material that is already yours when Lab 2 starts. You are not debugging someone else's example; you are extending your own.
  • The conversational interface from Lab 2 goes directly into deployment in Lab 3. You learn to evaluate something you actually care about, which is a fundamentally different experience from evaluating a toy.
  • The skills compound in a specific direction: reasoning about model behaviour → structuring user interaction → operating a system in the real world. That sequence mirrors what a junior AI engineer does in their first six months on a product team.

Taking the labs separately means you can spread them out, but you lose some of the context transfer — the moment in Lab 3 where you recognise a failure mode because you designed the chain yourself in Lab 1 is genuinely useful and harder to replicate if weeks have passed between them.

The AI instructor also builds a richer picture of your weak spots across the bundle. If you struggle with context management in Lab 2, the instructor carries that forward and pushes harder on related concepts in Lab 3. That continuity does not exist when labs are purchased independently.

Compared to tools like Coursera or DataCamp, which are excellent for broad curriculum coverage and video-based instruction, Jade is narrower and more hands-on. If you want a survey of the AI landscape, those platforms are reasonable choices. If you want to be corrected by something that actually reads your output in real time and forces you to get it right before moving on, that is what this bundle is for.

What it costs

OptionPrice
AI Builder Bundle$119
Labs bought individually$[X + Y + Z] — fill in per-lab prices
All-access membership$19/month for every lab on Jade

> Note to Jade team: the `full_price` and `saving` fields in the bundle JSON are currently zero — fill those in so the savings figure can be stated here.

The bundle makes sense if you are committed to completing all three labs within a reasonable window and you want the certificate set. The all-access membership makes more sense if you expect to move through six or more labs in a year, or if you want the flexibility to explore areas outside the AI builder path — security, data engineering, infrastructure — without paying per bundle.

There is no subscription required to buy the bundle. You pay once and the labs do not expire.

Frequently asked questions

Do I need prior machine learning experience to start?

You need to be comfortable writing code — Python specifically — and you should have used a language model API at least once. You do not need a formal ML background. The labs assume you understand what an API call is and what JSON looks like. If you have never written a Python function, start somewhere more foundational first.

How does the AI instructor actually correct me?

You work in a live browser environment. The instructor monitors your inputs, your outputs, and the structure of what you build in real time. When you make a mistake — a broken fallback condition, a prompt that leaks system context, a deployment with a hardcoded key — the instructor flags it immediately, explains what went wrong, and gives you a chance to fix it before you move on. You cannot simply click past errors.

How long does the bundle take to complete?

The three labs together are designed for roughly eight to twelve hours of focused work. Most people spread that across a week or two. There is no enforced time limit — you work at your own pace — but the skills are more transferable if you do not leave long gaps between labs.

Are the certificates recognised by employers?

Jade certificates show verified performance, not just completion. The metadata on each certificate records what you built and how you were evaluated. Whether a specific employer values that depends on the employer. Increasingly, engineering hiring managers want evidence of hands-on work over course completion badges. The certificate alone will not get you a job; the skills it certifies might.

What happens if I get stuck?

The AI instructor is the first line of support — it is designed to help you get unstuck, not just tell you something is wrong. If you have a question the instructor cannot resolve, you can raise it in the Jade community forum where other practitioners respond. There is no live human support tier on the bundle price.

Can I buy just one lab from the bundle if I already have skills in the other areas?

Yes. Each lab is available individually. The bundle price reflects the full path. If you have genuine experience with prompt engineering and just want the deployment lab, buy that one. The AI instructor will adapt to your demonstrated skill level; you will not be forced to sit through material you already know.

QUESTIONS PEOPLE ASK
Do I need prior machine learning experience to start?
You need to be comfortable writing code — Python specifically — and you should have used a language model API at least once. You do not need a formal ML background. The labs assume you understand what an API call is and what JSON looks like. If you have never written a Python function, start somewhere more foundational first.
How does the AI instructor actually correct me?
You work in a live browser environment. The instructor monitors your inputs, your outputs, and the structure of what you build in real time. When you make a mistake — a broken fallback condition, a prompt that leaks system context, a deployment with a hardcoded key — the instructor flags it immediately, explains what went wrong, and gives you a chance to fix it before you move on. You cannot simply click past errors.
How long does the bundle take to complete?
The three labs together are designed for roughly eight to twelve hours of focused work. Most people spread that across a week or two. There is no enforced time limit — you work at your own pace — but the skills are more transferable if you do not leave long gaps between labs.
Are the certificates recognised by employers?
Jade certificates show verified performance, not just completion. The metadata on each certificate records what you built and how you were evaluated. Whether a specific employer values that depends on the employer. Increasingly, engineering hiring managers want evidence of hands-on work over course completion badges. The certificate alone will not get you a job; the skills it certifies might.
What happens if I get stuck?
The AI instructor is the first line of support — it is designed to help you get unstuck, not just tell you something is wrong. If you have a question the instructor cannot resolve, you can raise it in the Jade community forum where other practitioners respond. There is no live human support tier on the bundle price.
Can I buy just one lab from the bundle if I already have skills in the other areas?
Yes. Each lab is available individually. The bundle price reflects the full path. If you have genuine experience with prompt engineering and just want the deployment lab, buy that one. The AI instructor will adapt to your demonstrated skill level; you will not be forced to sit through material you already know.
Stop reading. Start doing.
66 courses, 702 modules, an AI instructor per subject. Buy one lab and keep it, or take everything for $19/mo.
BROWSE ALL LABS THE FULL ACADEMY