` QGTM School Connect — Launch Your IT Career in 4 Weeks

Master Data Engineering in just 4 weeks.

From Data Engineering to AI, Cloud, and Analytics — choose your track. A remote, mentor-driven bootcamp that gets you job-ready in weeks.

100% Remote Weekly 1:1 Mentorship 8+ Career Tracks
0%
Placement in 90 days
+0
Professionals trained
$0K
Avg. starting salary
Technologies Covered
Python SQL ML AI

Graduates working at

amazon Microsoft Google stripe Shopify DELOITTE Capgemini
The problem

Tech bootcamps haven't kept up with the industry.

Most programs are too narrow, too slow, and too theoretical. Whether you want to work in data, AI, cloud, or analytics — you need real skills, real projects, and real mentorship.

6-month programs, outdated by graduation

By the time you finish, the tools have changed. Our 4-week sprint mirrors how modern teams actually onboard new engineers.

Theory-heavy, zero cloud experience

Most curricula stop at local notebooks. You'll deploy real workloads on AWS, Azure, and GCP from week one — regardless of your chosen track.

Generic mentorship, no real feedback

Recorded lectures and Slack channels don't cut it. Get weekly 1:1s with active practitioners — data scientists, ML engineers, cloud architects, and analysts.

The curriculum

Built around what hiring managers actually test.

Every module ends with a portfolio-grade project you can talk about in interviews — not a toy exercise.

  • Python, SQL, and data structures for any tech role
  • Cloud platforms — AWS, Azure & GCP hands-on
  • AI & ML fundamentals, model deployment, MLOps
  • Data Engineering, Analytics, Visualization & more
# Daily revenue ETL → Snowflake
from airflow import DAG
from qgtm.warehouse import load
 
with DAG("revenue_daily") as dag:
    extract = S3ToSnowflake(...)
    transform = DbtRun("revenue")
    extract >> transform >> notify
Production-ready
What's included

Everything you need to get hired.

1:1 mentorship

Weekly calls with senior practitioners — data scientists, ML engineers, cloud architects, and analysts.

Career coaching

Resume review, mock interviews, and direct intros to our hiring partners.

Real cloud accounts

Hands-on labs with AWS, Azure, and GCP credits — no simulated sandboxes.

24/7 community

Active Discord with current cohort, alumni, and instructors.

Verified certificate

Industry-recognized credential employers actually check on LinkedIn.

Lifetime access

All future curriculum updates, free. The stack changes — your skills won't fall behind.

How it works

From application to first job in 90 days.

01

Apply

10-minute application. We review and respond within 48 hours.

02

Onboard

Pre-work, cloud accounts, and mentor pairing — all before day one.

03

Build

4 weeks of intensive projects in your chosen track — cloud, AI, data, or analytics.

04

Get hired

Portfolio review, interview prep, and warm intros to our hiring partners.

Where graduates land

Tech professionals are in demand across every industry.

FinTech

Stripe, Wise, Plaid — real-time transaction pipelines.

Healthcare

HIPAA-compliant warehousing for hospitals and biotech.

Retail & E-commerce

Customer analytics at scale across Shopify-scale catalogs.

Logistics

Routing optimization and supply-chain forecasting.

Graduate stories

Real outcomes from real students.

★★★★★

"I went from a non-technical operations role to a Data Analyst offer at Stripe — in under three months. The mentorship was the difference."

PR
Priya Ramachandran
Data Analyst, Stripe
★★★★★

"Other bootcamps gave me theory. QGTM had me deploying ML models to production by week two. That's what landed me the job."

MJ
Marcus Johnson
ML Engineer, Shopify
★★★★★

"Best $2,000 I've ever spent. The community and the warm intros to hiring partners alone are worth 10x the price."

AK
Aisha Kone
Cloud Engineer, Capgemini
FAQ

Questions, answered.

Do I need a technical background?
No prior coding experience is required. Roughly 60% of our cohort comes from non-technical backgrounds — finance, ops, marketing, teaching. The pre-work covers everything you need.
How much time do I need to commit each week?
Plan for 15–20 hours per week over the 4-week cohort. Live sessions are recorded and labs are async-friendly, so you can keep your day job.
What's included in the $2,000 price?
Full curriculum, 1:1 mentorship, cloud credits across AWS/Azure/GCP, career coaching, portfolio review, hiring-partner intros, required background check, and lifetime access to all future updates.
Is there a job guarantee?
We don't guarantee jobs — anyone who does is misleading you. We do guarantee mentorship, intros, and a portfolio strong enough that 92% of our graduates land roles within 90 days.
Can I get a refund?
Yes. If you complete week 1 and decide it's not for you, we'll refund 100% — no questions asked.
Cohort 12 · Only 18 seats left

Your next career starts in 4 weeks.

Reserve your seat today with a $500 enrollment fee (total $2,000, covers background check).