Outcome-engineered curriculum, updated quarterly to reflect what employers actually ask. Every project mirrors real work; every skill maps to a job posting. Industry instructors review monthly; new tools + frameworks integrated as industry shifts.
Pre-bootcamp prep, then 3 cohort phases (foundations, core, capstone), then 6 months of placement support, then lifetime alumni access. Curriculum + career services + the network — one continuous arc.
Foundation building before cohort begins. Programming fundamentals (Python or JS depending on program). Self-paced + free. Required for admission.
Core technical fundamentals. Daily live instruction + lab + project. Weekly assessments. ~50 hr/wk full-time, ~20 hr/wk part-time.
Subject-specific deep-dive. Real-world tools + workflows. Group projects + individual exercises. Increasing complexity.
Final capstone. Portfolio building. Industry mentor reviews. Mock interviews. Career services intensive begins.
Career services run throughout + after bootcamp. Resume + portfolio + LinkedIn. Mock interviews. Salary negotiation. Employer connections — for 6 months after.
Career services don't end at 6 months. Re-applying years later? Career pivots? Salary negotiations? We help. Real lifetime commitment.
Foundations through deployment. Pair-programmed daily, mentor 1:1 weekly. Track decision (frontend, backend, full-stack) week 7. Capstone shipped to a live URL by week 14, when career week begins.
Variables, control flow, functions, objects, arrays. Daily exercises. First-week assessment.
HTML, CSS, JS in browsers. React fundamentals. Components, state, props. First mini-project.
Node.js + Express. REST APIs. Postgres. Authentication. Building a complete backend.
Advanced React patterns. State management. Full-stack project. Track choice: frontend, backend, full-stack.
Vercel + Render. GitHub Actions. Logging + metrics. Real incident-drill week 11.
Capstone project planning + execution. Tech stack chosen. Project management drilled.
Capstone presentation. Career-services intensive. Mock interviews. Most students apply to 50+ jobs.
Python + SQL through ML basics through data engineering. Track decision (analytics vs. ML) week 9. Capstone presented live to 6 — 8 hiring managers during cohort presentation week.
NumPy, pandas, Matplotlib. SQL fundamentals + intermediate. Database querying.
Statistical inference. Hypothesis testing. A/B testing methodology. Probabilistic thinking.
Supervised + unsupervised. Regression, classification, clustering. Feature engineering.
Analytics: BI, dashboards, business metrics. ML: deep-learning fundamentals, MLOps.
ETL pipelines. Cloud warehouses (BigQuery, Snowflake). Quality + monitoring.
Pitched to 6 — 8 hiring managers in cohort presentation week.
