FlagshipSandbox
ML for React Engineers — Sandbox Edition
Hands-on ML + LLMs in React. Build, deploy, and iterate with a guided sandbox.
Level: IntermediateDuration: 20–24 hours (self-paced) + sandboxFormat: Video + code labs + guided sandbox
$4,500$3,280USDSave 27%
What you will learn
- Integrate OpenAI or local models via clean adapters
- Vector search and embeddings in a React app
- Token budgeting, caching, and observability
- Secure payments & access gating (Stripe)
Curriculum
Module 1 — Foundations
- Provider adapters & cost model
- Prompt patterns and anti-patterns
- Project scaffolding (Next.js + API routes)
Module 2 — Embeddings & Vector Search
- Chunking strategies & metadata
- MongoDB Atlas / Qdrant quickstart
- Hybrid retrieval & reranking basics
Module 3 — App Integration
- Chat UI state & streaming
- Tool use (retrieval, summarization)
- Guardrails: rate limiting & input validation
Module 4 — Payments & Access
- Stripe Payment Links / Checkout
- Role gating (viewer/editor)
- Audit logs and usage metrics
Module 5 — Ops & Observability
- Structured logs, tracing, token stats
- Basic evaluations (accuracy/relevance)
- Cost controls & caching policies
What’s included
- Guided sandbox
- Code templates
- Security checklists
Outcomes
- Launch a basic RAG chat with cost control
- Instrument usage and accuracy metrics
Projects
- Mini-RAG with your dataset
- Simple tokens/latency dashboard
Prerequisites
- Intermediate React/JS
- Node 18+
- Git & CLI
Certificate
Certificate of Completion — React AI Labs