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.

1. Rust From Zero
2. SQLite for Rust
3. ETL Pipelines with Rust
4. Linux Desktop From Zero
5. Polars from Zero
6. Rust Serverless
7. Data Ethics
8. Agile With AI
9. Zig From Zero
10. Rust GUI From Zero
11. Terminal From Zero
12. Rust on GCP
13. Shipping Rust
14. Claude From Zero
15. Rust CLI From Zero
16. Graph Algorithms with Rust
17. MySQL From Zero
18. Postgres From Zero
19. RAG From Zero
20. DuckDB From Zero
21. Valkey From Zero
22. Rust for Data Source Monitoring and Automation
23. Rust DataOps: CI/CD and Containers for Data Pipelines
24. HelixDB From Zero
25. Design by Provable Contracts
26. IAC from Zero
27. TUI from Zero
28. WASM from Zero
29. Bash to Rust: From Zero
30. Big O notation: Python to Rust
31. 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

📦 GitHub: paiml/ai-tooling

• 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
• 💬 Join our Discord community

Learn real-world ML engineering from industry experts. Trusted by Fortune 500 teams.