12-WEEK DATA ENGINEERING BOOTCAMP
$797$997
5-Day Action-Based Money-Back Guarantee
Build Real AI Projects. Create a Portfolio. Position Yourself for High-Income Opportunities.
WHAT YOU'LL BUILD — WEEK BY WEEK
14 hours/week | Self Paced lessons + Community support|Q&A Support I All projects pushed to GitHub
MODULE 1 — FOUNDATIONS (Weeks 1–4) Build your core. Ship your first real project.
Week 1 — Environment Setup & Python Basics Get your developer environment running and write your first real Python scripts. No fluff — by the end of this week you have working code on GitHub. 🛠 Tools: Python, GitHub 📦 Deliverable: GitHub profile set up + first repository live
Week 2 — Python for Data + SQL Fundamentals Learn how engineers actually work with data. You'll write Python scripts that pull, clean, and transform data, and run SQL queries against real datasets. 🛠 Tools: Python, SQL 📦 Deliverable: Data transformation script pushed to GitHub
Week 3 — Data Handling & Engineering Workflows Move from scripts to structured code. Learn how to organize projects the way production engineers do — not like a tutorial, like a professional. 🛠 Tools: Python, SQL, GitHub 📦 Deliverable: Structured data project with clean file organization
Week 4 — First Showcase Project Apply everything from Weeks 1–3 to build and ship your first portfolio-ready project. This is your proof of work — something recruiters can actually open and evaluate. 🛠 Tools: Python, SQL, GitHub 📦 Deliverable: Completed Module 1 portfolio project
MODULE 2 — DATA ENGINEERING CORE (Weeks 5–8) Start building like a real engineer.
Week 5 — API Integrations Learn how to connect to real-world APIs, pull live data, and handle the messy edge cases that tutorials never show you. 🛠 Tools: Python, OpenAI API, GitHub 📦 Deliverable: Working API integration script
Week 6 — Automated Pipelines Build your first automated data pipeline — a system that runs on its own, pulls data, and processes it without you touching it. 🛠 Tools: Python, SQL, GitHub 📦 Deliverable: Automated pipeline project
Week 7 — Data Transformation Workflows Go deeper on transforming raw data into clean, usable formats. This is a core skill in nearly every data and AI engineering role. 🛠 Tools: Python, SQL 📦 Deliverable: End-to-end transformation workflow
Week 8 — Module 2 Showcase Project Combine APIs, automation, and data transformation into one complete engineering project. This is the kind of work that makes hiring managers pay attention. 🛠 Tools: Python, SQL, OpenAI API, GitHub 📦 Deliverable: Completed Module 2 portfolio project
MODULE 3 — AI INTEGRATIONS (Weeks 9–12) This is where everything comes together.
Week 9 — LLM Integrations Learn how to connect Large Language Models to real applications using the OpenAI API. Build tools that actually do something useful — not just chatbots. 🛠 Tools: Python, OpenAI API, GitHub 📦 Deliverable: Working LLM-powered script
Week 10 — AI Application Development Take your LLM integration and build it into a complete AI application — the kind companies are actively building and hiring for right now. 🛠 Tools: Python, OpenAI API, GitHub 📦 Deliverable: AI-powered application
Week 11 — Workflow Automation with AI Connect AI to real business processes. Automate tasks, build pipelines that use AI as a step, and learn how companies are deploying AI in production today. 🛠 Tools: Python, OpenAI API, SQL, GitHub 📦 Deliverable: AI automation workflow
Week 12 — Final Capstone Project Your final project ties together everything — data engineering, API integrations, and AI. This is your signature portfolio piece. The one you lead with in interviews. 🛠 Tools: Python, SQL, OpenAI API, GitHub 📦 Deliverable: Capstone project — live on GitHub and ready to present
By Week 12, your GitHub will have 8+ real projects — not homework assignments, not tutorials. Systems you built.
OUR GUARANTEE
5-Day Action-Based Money-Back Guarantee
We're not interested in your money if this isn't the right fit. But we do ask that you actually try before you decide.
Here's how it works:
Within your first 5 days, complete the following:
✅ Watch: Welcome
✅ Watch: Making the Right Decision
✅ Watch: Next Steps to Leveling Up
✅ Watch: Foundations Introduction
✅ Watch: AI Course for Beginners
✅ Watch: GitHub & Structure
✅ Complete a 15-minute onboarding call with your trainer
Do all of that and still feel this program isn't for you? Email us and you'll get a full refund. No questions asked. No hoops. No hassle.
We require these steps because the people who do them get results. If you put in the work and it still isn't right for you, you deserve your money back.
FREQUENTLY ASKED QUESTIONS
Do I need coding experience to join? Some basic tech comfort will help you move faster — but you don't need to be a developer. If you've tinkered with spreadsheets, followed online tutorials, or have any exposure to data tools, you're ready. Phase 1 starts from the ground up and builds deliberately.
How much time do I need each week? It varies by phase. Earlier phases are foundational and more manageable. Later phases — especially Phases 4, 5, and 6 — require serious time investment as the systems get more complex. Budget more time as the program progresses, and treat it like a part-time job when you hit the advanced phases.
Is this self-paced or structured? Both. You have recorded lessons you can work through on your own schedule, plus group coaching sessions, a 1:1 portfolio review, and cohort projects that follow a structured timeline. You get flexibility without losing accountability.
What tools will I be using? Python, SQL, the OpenAI API, and GitHub. All industry-standard. All free or low-cost to access. No expensive software required.
What are the cohort projects? In Phase 6, you'll complete two real AI projects alongside other students in the program. These aren't solo homework assignments — they're collaborative, end-to-end builds that simulate how engineers actually work in teams. They become the centerpiece of your portfolio.
What is the 1:1 portfolio review with a CIO/CDO? You'll get a direct, one-on-one review of your GitHub portfolio and career positioning with a senior executive who has hired for these roles. This isn't generic feedback — it's the perspective of someone who has actually made hiring decisions at the enterprise level.
What are the Fortune 500 introductions? We have relationships with hiring contacts at large organizations actively building out their AI and data teams. For students who complete the program and are job-ready, we make warm introductions. This is not a job placement guarantee — it's access most candidates simply don't have.
How long do I have access to the content? Lifetime access to all recorded content. The cohort projects and group coaching follow the 6-month schedule, but the curriculum is yours to keep.
What if I don't like it? We have a 5-Day Action-Based Money-Back Guarantee. Complete the required onboarding steps within your first 5 days and if it's not for you, email us for a full refund. No questions asked.
Who is this NOT for? This program is not for dabblers. If you're looking to casually explore AI, this isn't it. This is for people ready to do serious work over six months to position themselves for a real career change. If that's you — let's go.
How do I get started? Click the button below, complete your purchase, and you'll get immediate access to the program, the community, and your onboarding materials.
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