Polaris ML/AI Training

Bootcamps

Structured learning paths with tutorials, videos, and hands-on assignments

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beginner20h12 lessons

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.

pythonscikit-learnsupervised-learning
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intermediate24h14 lessons

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.

RAGLLMVector Database
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advanced32h22 lessons

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).

PalantirFoundryOntology
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beginner18h12 lessons

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.

TerraformAWSInfrastructure as Code
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intermediate18h13 lessons

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).

MCPModel Context ProtocolClaude
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