Bootcamps
Structured learning paths with tutorials, videos, and hands-on assignments
ML Fundamentals Bootcamp: Housing Price Prediction
Master the core concepts of machine learning by building a housing price prediction model from scratch. This bootcamp covers supervised and unsupervised learning, model evaluation, and practical implementation with scikit-learn and Python — all through a hands-on housing dataset scenario.
RAG Bootcamp: Legal Document Q&A System
Master Retrieval-Augmented Generation by building a legal document Q&A system from scratch. Across 14 video lessons with bilingual content (English + 中文), you'll ingest legal contracts, chunk and embed them, and deploy a production RAG pipeline that answers natural-language questions about your documents.
Palantir Hands-On Bootcamp: Property Maintenance Operations
Build an AI-powered property maintenance scheduling system from scratch using Palantir Foundry. In 22 lessons spanning a Foundation Track and an Advanced Track, you will upload data, build pipelines, model an Ontology, create Workshop dashboards, deploy AIP agents, build external apps with OSDK, and tie it all together with predictive maintenance — covering the full Foundry stack with bilingual content (English + 中文).
Terraform Bootcamp: AWS Infrastructure for Web Apps & ML/AI
Build production-ready AWS infrastructure from scratch using Terraform. In 12 hands-on lessons, deploy a complete web application stack — VPC, EC2, RDS, S3, IAM — then extend it with ML/AI infrastructure including SageMaker, GPU instances, and model serving endpoints. Bilingual content (English + 中文). No prior Terraform or cloud experience required.
MCP Bootcamp: Build an AI-Powered Customer Support Agent
Master the Model Context Protocol by building a complete AI customer support system. In 13 hands-on lessons, you'll create MCP servers for ticketing, knowledge base search, CRM integration, and email — then orchestrate them into one intelligent support agent powered by Claude. Bilingual content (English + 中文).
AI Chatbot Bootcamp
Build a grounded conversational AI chatbot from scratch. Over ~25 hands-on lessons you'll create 'Atlas' — an assistant that answers your team's questions from the codebase and docs with real citations, remembers the conversation, runs in a web UI and in Slack, and is protected by guardrails and evaluation. Teaches RAG end to end, plus the chatbot-specific craft: memory, persona/system design, streaming, chat UX, and deployment. Part 1 of a path — the AI Agents Bootcamp is Part 2, where Atlas learns to take actions.
AI Agents Bootcamp
Build Atlas — an autonomous AI agent that answers your team's questions from the codebase (the source of truth) plus Foundry, Salesforce, Confluence and observability data, then triages issues on Slack and email, files and prioritizes Jira tickets, reports a daily digest, and escalates only what it can't handle. 45 hands-on lessons covering agent architecture, RAG over code, MCP integrations, evaluation, and production deployment — built on the Claude Agent SDK with LangGraph and OpenAI Agents SDK comparisons. Part 2 of a path: the AI Chatbot Bootcamp (Part 1) builds the grounded conversational foundation, and here the same Atlas learns to take action.