Our most comprehensive AI-native program. Master React + FastAPI on the front, PostgreSQL + Microsoft Fabric on the data layer, then ML, Deep Learning, NLP and Generative + Agentic AI — ending with production-grade systems on Kubernetes with full AI Ops our behalf. 3 months. One production capstone. A job offer, not a certificate.
Most programs hand you a certificate and a Zoom recording. Ours hands you a running system, a portfolio, and an interview.
Months 1–2 build the application stack. Months 3–4 layer data engineering. Months 5–6 add ML, DL, NLP. Months 7–9 are GenAI, Agentic AI, and the AI Ops capstone.
LangChain 1.0 + LangGraph 1.0, RAG with Pinecone or Qdrant, MCP-powered tools, HITL workflows on PostgreSQL + Redis, multi-agent systems via A2A. Deployed on Docker + Kubernetes with Prometheus, Grafana, and LangSmith observability. Walk out with a production system, a reference, and often, an offer letter.
Jump to any section on the left. Click a module to see topics, hands-on lab, and key technologies.
Not a shallow tour. You'll use every one of these in at least one graded exercise.
Three full-production projects, each threaded through the entire curriculum. By the capstone, you've built the whole stack around them.
Full LMS: course authoring, learner tracking, assessments — deployed to production EKS via a Jenkins + GitHub Actions pipeline, with an AI tutor agent backing the content engine.
CI/CD for an HRMS platform — payroll, onboarding, performance — with an onboarding agent that provisions access on day one.
Sales + support CRM with a Prometheus/Grafana stack and an escalation agent that reads tickets and drafts refund PRs.
Pick a real partner problem. Ship an AI agent into their tenant. Walk away with a production artifact, a reference, and often, an offer letter.
Not a career trainer. A practitioner who still ships code.
Ahmed came up through ops at an Indian unicorn before leading cloud platform teams across three continents. He's built CI/CD pipelines for a retail chain with 1,200 stores, migrated a bank's monoliths to Kubernetes, and — most recently — shipped the first LangGraph-based AI-Ops agent into production at a Fortune-500 insurer.
His cohorts get two things other programs don't give you: a real engineer who still ships code, and a curriculum rewritten every quarter to match what hiring managers actually ask about.
If the answer you need isn't here, book a 20-minute advisor call. No-slides, no-pitch — just your questions.
Book a 20-minute advisor call. We'll walk through the curriculum, match it to your current role, and show you two real capstones from cohort 014.
