--- source_url: "https://www.qgtm.org/?utm_source=openai" title: QGTM School Connect — Launch Your IT Career in 4 Weeks mirrored_at: 2026-08-14T01:10:44.235Z host: www.qgtm.org cited_in_42a: true mirror_canonical: "https://index.42a.ai/www.qgtm.org/index__q__utm_source_openai" --- > **Original source:** https://www.qgtm.org/?utm_source=openai ## 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 ### 6-month programs, outdated by graduation By the time you finish, the tools have changed.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." ★★★★★ "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).