Curriculum
A detailed look at what you will learn across 40 weeks of intensive, project-based training.
Phase A — Foundations
Bring all students to a common technical and professional baseline.
Tools & Engineering Habits
Linux shell, Git and GitHub, VS Code, debugging basics, README writing, command-line workflows.
Python Foundations
Types, functions, modules, environments and packaging, file handling, API calls, basic testing.
Data & SQL
Tabular data, cleaning and validation, joins, aggregations, window functions, CSV/Excel realities.
Web & APIs
HTTP, REST, JSON, auth basics, Postman/HTTPie, request/response debugging, API contracts.
Frontend Basics
HTML/CSS/JavaScript, forms, component thinking, accessibility basics, responsive layout.
Deployment Basics
Docker, environment variables, simple service deployment, logs and health checks.
Foundation Gate
A Python CLI or API mini-tool, a SQL exercise set, a frontend form project, a deployed mini-service, and a written technical handoff.
Phase B — Shared Core
Every student learns all 3 marketable skill clusters before specializing.
Workflow mapping, business process analysis, webhooks, OAuth, third-party APIs, retries, idempotency, queue patterns, scheduling, approval flows, monitoring, runbooks, and failure handling.
One business workflow automation with approvals, alerts, error handling, and documentation.
LLM application patterns, prompt design, structured outputs, retrieval, chunking, embeddings, citations, hallucination control, eval sets, caching, privacy and safety, multilingual considerations.
One LLM/RAG app with citations, eval set, safety guardrails, and a benchmark report.
React/Next.js, forms, dashboards, frontend-backend integration, auth and RBAC, deployment, CI/CD, logging, monitoring, incident drills, support playbooks.
One usable AI product with frontend, backend, auth, deployment, logging, and support notes.
Core Gate
One automation project, one LLM/RAG project, one deployed product project, one demo presentation, and one employer-style written summary.
Phase C — Specialization Studio
Each student chooses one major track and one minor track to build deeper expertise.
Advanced workflow orchestration, SaaS integrations, operational dashboards, reliability, ROI documentation. Build an internal operations system.
Higher-quality retrieval, reranking, eval design, citation UX, safety filters, data ingestion pipelines. Build a production-style RAG tool.
Product flows, frontend polish, API integration, auth and permissions, observability, deployment, performance and cost controls. Build a full-stack AI application.
Specialization Gate
One major-track project, one minor-track project, a technical architecture note, a risk register, a recorded demo, and a client-friendly case study.
Phase D — Production Lab
Convert learning into real production-style work. This is the employability engine of the program.
Students work in delivery pods on internal or partner projects with tickets, sprint planning, standups, PR reviews, QA checklists, acceptance criteria, demo days, and retrospectives.
Rotating Pod Roles
Delivery Lead, Developer, QA/Reviewer, Documentation Owner, Client Update Owner
Required Outputs
Merged pull requests, runbook, test checklist, stakeholder update memo, release notes, support handoff, and a final case study.
Phase E — Placement Sprint
Turn graduates into interviewable, placeable candidates.
Students finalize portfolios, LinkedIn profiles, polished case studies, demo videos, and employer packets. The placement system includes mock interviews, technical screen practice, employer days, trial-project matching, and 90-day post-placement follow-up.
Required Outputs
CV/resume, LinkedIn profile, GitHub portfolio, 3 polished case studies, a 2-minute demo video, an employer packet, a technical interview packet, and instructor references.
Professional Practice Strand
Running every week from Week 1 to Week 40, this graded strand covers written status updates, async communication, standups and retros, stakeholder demos, scoping and estimation, documentation and handoff notes, cross-cultural teamwork, professional English/French, interview speaking, and portfolio storytelling.
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