Stackle - Your Career Lab

🚀 Free live meetup. 60 minutes.

The "AI Engineer" role didn't exist three years ago.
Today it's the highest-paying, fastest-growing job in tech — $150K to $250K, with companies like Meta, Anthropic, OpenAI, and every YC startup hiring as fast as they can find people who can actually build.

The problem? Most people trying to break in are stuck on the wrong path — LangChain tutorials, Kaggle notebooks, and bootcamps that haven't shipped a real AI product to production.

In this 60-min live session, I'll walk you through the exact
7-phase roadmap I'm using to take career-switchers from data analyst, SWE, or DE → AI Engineer roles in 10 weeks.

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🎯 You'll leave knowing:
✅ What an AI Engineer actually does (and what they don't — most people get this wrong)
✅ The 7 phases — Foundations → Prompts → RAG → Agents → Evals → Productionization → Job Search
✅ The salary data, the market, and where the jobs are right now
✅ How to do it in 10 weeks without quitting your job
✅ Live Q&A — bring your specific situation, your specific questions

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👤 About your host — Cris:

• Data Engineer at Meta
• 10+ years in data engineering
• 200+ senior-level technical interviews conducted
• Founder of Stackle — the career operating system for data + AI professionals

👥 This is for you if:

• You're a Data Engineer, SWE, Data Scientist, BI dev, or analyst with 2+ years of experience
• You want to transition into AI Engineering in the next 6 months
• You're tired of tutorial collections and want a real roadmap
• You learn faster from practitioners than from content creators

This is NOT for you if:

• You're a complete beginner with no coding background
• You want passive video lectures (this is interactive)
• You want a job guarantee (we focus on real skills + interview prep, not promises)

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🔥 Bonus — for attendees only:
After the meetup, you'll get:

• The full AI Engineer Roadmap (clickable, 35 topics, the lead magnet I built for this)
• Early access to the Founding Cohort (June 15 — only 15 seats, $500 off)
• An invite to the free hackathon on May 30

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📍 Where: Zoom (link sent after RSVP) 🕐 When: Thursday, May 21 · 5:00 PM PT / 8:00 PM ET / 5:30 AM IST (Friday) 💵 Cost: Free 🎙️ Format: 40-min walkthrough + 20-min live Q&A
RSVP now

# How to Become a Data Engineer in 10 Weeks: The Job-Ready Roadmap in the AI Era
## What You'll Learn
Join us for an in-depth look at the complete data engineering roadmap and discover how AI is fundamentally changing the role. We'll break down the technical tools you need to master—from SQL and Python to data pipelines, orchestration frameworks, and cloud platforms—and show you exactly what separates engineers who get hired from those who don't.
## Why This Matters
Data engineering is evolving fast. AI is automating routine tasks, changing how we build and maintain data systems, and raising the bar for what companies expect from engineers. But here's the truth: the fundamentals still matter. This session cuts through the noise and shows you the skills that are actually in demand—and how to build them strategically in 10 weeks.
## What You'll Get Out of This

• A clear, step-by-step roadmap from fundamentals to job-ready
• How AI is reshaping data engineering roles (and what that means for your career)
• The technical tools and concepts you need to master
• Real examples of what hiring teams actually look for
• Insight into Stackle's 10-week Data Engineering Master Class—a proven path for mid-level professionals (analysts, SQL developers, BI developers) who want to level up fast

## Who Should Attend
If you're an analyst or BI developer looking to transition into data engineering, or a SQL developer ready to build more robust data systems, this is for you. You'll walk away with clarity on your learning path and exactly what to focus on next.
## How to Join
No prerequisites—just bring curiosity and a willingness to challenge what you think you know about data engineering. We'll keep it practical, no fluff

Join us for a straight-to-the-point 2-hour workshop where we'll show you how to unlock Claude for real work — not just quick questions.
🔍 What You'll Walk Away With:
• A clear understanding of how Claude actually thinks
• Prompting skills that get better results dramatically
• A personal toolkit of use cases you can apply the next morning
• Hands-on experience, not just theory
💡 Real use cases we'll cover:
• Writing and refining PRDs and project plans
• Summarizing meetings and long documents instantly
• Drafting stakeholder communications in your voice
• Research, decision making, and brainstorming
Two hours. Practical.
Come learn. Come connect. Limited seats. 👇

🎯 In one Saturday morning, you'll build and deploy your first real AI app — using Claude.

No prior AI experience needed. If you can write basic Python (or follow along), you can do this.
By 2pm, your app is live on the internet, on your GitHub, and ready to share with recruiters Monday morning.
This is the workshop where you stop reading about AI Engineering and start being an AI Engineer.

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#### 🛠️ What you'll build

An AI assistant that can answer questions about any document.
Drop in a PDF — a research paper, a textbook, a company handbook, your own notes — and ask it questions in plain English. It reads the doc, finds the relevant parts, and answers using Claude. Then it gets deployed to a live URL anyone can use.
This is the same architectural pattern behind "Chat with PDF" tools, Notion AI, and most enterprise AI products shipping in 2026.

Once you've built one, you can build a hundred variations.

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#### 🧠 What you'll learn

✅ How LLMs actually work — the right level for builders, not researchers
✅ How to call Claude cleanly from Python — the foundation of every AI app
✅ How to give Claude your data — so it answers from YOUR documents, not just its training
✅ How to deploy your app to the internet with one command
✅ How AI Engineers think — the mental models that separate builders from tinkerers
By 2pm, you'll understand the building blocks behind every AI product you've ever used.

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#### 📅 Workshop schedule (Sat Jun 13 · 10am–2pm PT)

🕙 10:00 AM — Welcome + how LLMs actually work (15 min)
🕥 10:15 AM — Module 1: Your first Claude call (30 min)
🕦 10:45 AM — Module 2: Teaching Claude to read documents (45 min)
🕦 11:30 AM — Break (15 min)
🕦 11:45 AM — Module 3: Build the full Q&A app (1 hr 15 min)
🕐 1:00 PM — Module 4: Deploy your app live (30 min)
🕜 1:30 PM — Module 5: Career Q&A + what's next (30 min)
🕑 2:00 PM — Wrap