CommandStack Training: From Zero→Hero
Advanced Track · Multi‑Agent + RAG

7‑Week AI Integration Bootcamp

Capstone: AI Workspace — Multi‑Agent Platform. Build an enterprise‑grade AI SaaS with doc ingestion, RAG semantic search, chat with memory, multi‑model routing, monitoring dashboards, and CI/CD to the cloud.

Apply Now See Curriculum
Cadence4 days/week4 hrs/day · 112 hrs total
OrchestrationLangChainMulti‑agent flows
RetrievalVector DBChroma/Weaviate/Pinecone
DeliveryDocker + CI/CDGitHub Actions · AWS

What you’ll master

React (Vite, Tailwind, Redux) Recharts FastAPI (Python) LangChain agents PostgreSQL / MongoDB Vector DB: Chroma/Weaviate/Pinecone Embeddings & RAG OpenAI GPT Hugging Face Ollama (Llama2) Stable Diffusion Docker GitHub Actions AWS Lambda / S3 Monitoring & Quotas RBAC & JWT

Unified adapters for multiple model providers with smart routing for cost, speed, and accuracy.

Who is this for?

Developers & product teams who want to ship multi‑model AI apps with RAG, agents, and observability. Expect a strict pace and real code reviews.

  • Comfortable with Python/JS and Git
  • Some API & DB experience
  • Interest in LLM platforms at scale

Outcomes

  • Monorepo with frontend, backend, infra
  • Auth (JWT) + role‑based access
  • Doc ingestion → embeddings → RAG search
  • Chatbot with memory; multi‑model routing
  • Admin analytics (usage, tokens, errors)
  • Quotas & rate limits; robust error handling
  • Docker + CI/CD to AWS (Lambda/S3)

Curriculum at a Glance (7 Weeks)

Week 1 — System Design & Foundations

  • Capstone kickoff & architecture
  • Monorepo setup (UI/Backend/Infra)
  • Auth & roles (FastAPI + JWT)
  • React Vite + Tailwind skeleton

Week 2 — Multi‑Model Service Layer

  • FastAPI endpoints (/summarize, /chat, /qa)
  • Hugging Face adapters
  • OpenAI & Ollama providers
  • Smart model router (cost/speed)

Week 3 — Vector DB & Semantic Search

  • Chroma/Weaviate/Pinecone setup
  • PDF/CSV ingestion → embedding
  • Semantic search API
  • Frontend: upload & Q&A UI

Week 4 — Multi‑Agent Orchestration

  • LangChain chains & tools
  • Research agent (web scraping + summarize)
  • Summarizer agent
  • Coding agent (sandboxed)

Week 5 — Advanced Features & Monitoring

  • Analytics with Recharts
  • Retry logic, structured logging
  • Rate limiting & user quotas
  • Admin panel & role switch

Week 6 — CI/CD & Cloud Deployment

  • Dockerize UI + API
  • GitHub Actions build/test/deploy
  • AWS deployment: Lambda + S3
  • IaC (Terraform/CloudFormation)

Week 7 — Capstone Defense

  • System integration & bug fixes
  • Stress test (50+ concurrent queries)
  • Docs & architecture diagrams
  • Live demo & portfolio handoff

Capstone — AI Workspace (Multi‑Agent)

Ship a production‑style AI platform with ingestion, RAG, agents, analytics, and cloud delivery — extensible to any domain.

RAG Search Multi‑Model Router LangChain Agents Analytics Dashboard CI/CD to AWS

Daily Flow (4 hrs)

  • Kick‑off & goal (15m)
  • Concepts + live demo (90m)
  • Break (15m)
  • Guided lab/project (90m)
  • Debrief & verification (30m)

Everything built live — no homework required.

Upcoming Cohort

Duration: 7 weeks · Schedule: 4 days/week × 4 hrs/day (Evenings, America/Chicago)
Exact start date/time will be finalized with the batch.

Format: Live online, recordings provided. Strict daily labs. Weekly milestones.

Tuition

$ 300per seat

Early‑bird and group pricing available. Limited seats to maintain quality.

Speak to admissions for EMI plans & scholarships.

Admissions & Placement Support

  • Pre‑work + baseline assessment
  • 1:1 resume + LinkedIn revamp
  • Interview prep & mock panels
  • Portfolio review and live demo coaching

Ready to integrate AI?

Apply now to reserve your seat. Include your background and goals—expect a short call to confirm fit.

Apply Now Talk to Admissions

Company team? Ask about a private cohort tailored to your AI stack.