Real-world ML engineering, taught by practitioners. Production skills across MLOps, Rust, cloud, and applied AI — coursework trusted by Fortune 500 teams.
📦 GitHub: paiml/rust-de-specialization
31-course series. Build production data systems in Rust — ETL, SQL/NoSQL, serverless, GCP, and CI/CD.
- Rust From Zero
- SQLite for Rust
- ETL Pipelines with Rust
- Linux Desktop From Zero
- Polars from Zero
- Rust Serverless
- Data Ethics
- Agile With AI
- Zig From Zero
- Rust GUI From Zero
- Terminal From Zero
- Rust on GCP
- Shipping Rust
- Claude From Zero
- Rust CLI From Zero
- Graph Algorithms with Rust
- MySQL From Zero
- Postgres From Zero
- RAG From Zero
- DuckDB From Zero
- Valkey From Zero
- Rust for Data Source Monitoring and Automation
- Rust DataOps: CI/CD and Containers for Data Pipelines
- HelixDB From Zero
- Design by Provable Contracts
- IAC from Zero
- TUI from Zero
- WASM from Zero
- Bash to Rust: From Zero
- Big O notation: Python to Rust
- OO: Python to Rust
📦 GitHub: paiml/applied-ai-engineering
- Hugging Face Hub and Ecosystem Fundamentals
- Fine-Tuning Transformers with Hugging Face
- Large Language Models with Hugging Face
- Production ML with Hugging Face
- Advanced Fine-Tuning in Rust
- Databricks Lakehouse Fundamentals
- Data Engineering with Delta Lake on Databricks
- Machine Learning with Databricks and MLflow
- Generative AI and LLMs on Databricks
- Production Governance and MLOps on Databricks
- AWS Generative AI and Foundation Models
- AWS Intelligent Applications with Amazon Bedrock
- Prompt Architecture and NLP on Amazon Bedrock
- AI Orchestration: From Local Models to Cloud
- Enterprise AIOps with Amazon Q Business
- AI Security and Governance on AWS
- AI-Powered Analytics and Performance Engineering
- CLI Automation with Amazon Q and CloudShell
- Deterministic LLM Programming
- Agentic AI: Actor Models and Subagent Architecture
- AI Debugging and Test-Driven Fixes
- Multi-Modal AI
- Privacy-Conscious Development with AI Assistants
- AI-Powered Data Pipelines with Deno
- Building Deterministic MCP Agents
- Conversational Bot Architecture with Rust and Deno
- AI Code Review Automation with GitHub Actions
- LLM Security and Vulnerabilities
- Build a Production SaaS Application with AI
- AI Tooling Capstone: Serverless Multi-Model Systems
📦 GitHub: paiml/mastering-github
- GitHub: From Zero to Pull Request
- GitHub: Codespaces, Actions, and Ecosystem Tools
- GitHub: Advanced Prompt Engineering for Code
- GitHub Production Applications
- GitHub Enterprise Administration
- GitHub: Security, Identity, and Access
- GitHub: Governing AI-Generated Code
- GitHub: Evaluating and Integrating AI Models
- GitHub: AI-Augmented Testing and Refactoring
- Cloud Computing Foundations
- Cloud Virtualization, Containers and APIs
- Cloud Data Engineering
- Cloud Machine Learning Engineering and MLOps
- Python Essentials for MLOps
- DevOps, DataOps, MLOps
- MLOps Tools: MLflow and Hugging Face
- MLOps Platforms: Amazon SageMaker and Azure ML
- Rust Fundamentals
- Data Engineering with Rust
- Rust for DevOps
- Python and Rust with Linux Command Line Tools
- Rust for Large Language Model Operations (LLMOps)
- Introduction to Generative AI
- Operationalizing LLMs on Azure
- Advanced Data Engineering
- GenAI and LLMs on AWS
- Databricks to Local LLMs
- Open Source LLMOps Solutions
- Spark, Hadoop, and Snowflake for Data Engineering
- Virtualization, Docker, and Kubernetes for Data Engineering
- Data Visualization with Python
- Python and Pandas for Data Engineering
- Linux and Bash for Data Engineering
- Scripting with Python and SQL for Data Engineering
- Web Applications and Command-Line Tools for Data Engineering
- Object-Oriented Programming in Python
- MySQL for Data Engineering
- Python Generators
- Python Decorator Functions
- Understand Big O Notation in Python
- Building a Bash Command-Line Tool
- Build a Static Website with Rust and Zola
- Building Rust AWS Lambda Microservices with Cargo Lambda
- Rust Secret Cipher CLI
- Rust Axum Greedy Coin Microservice
- Local LLMs with llamafile
- Beginning Llamafile for Local Large Language Models
- Foundations of Local Large Language Models
- End to End LLMs with Azure
- 🚀 Master Production ML Systems — MLOps, AWS & cloud computing
- 📺 Watch our courses on edX
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Learn real-world ML engineering from industry experts. Trusted by Fortune 500 teams.