Pragmatic AI Labs creates content and training for the top educational brands in the world, including O’Reilly, Udacity, Coursera, DataCamp, edX, and Pearson.
We have worked and taught at leading universities globally, including Duke, Northwestern, UC Davis, UC Berkeley, University of Tennessee and the University of North Carolina. We have consulted, trained, and worked with organizations like NASA, PayPal, Microsoft, AWS and Github.
Our mission is to educate the world by training millions on vocational skills that directly lead to jobs or upskilling. All books and courses are available via Creative Commons Attribution-NonCommercial license. These books and classes can be taught at the vocational level through advanced graduate work at top universities.
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Latest Content #
edX Professional Certificate in Large Language Model Operations (LLMOps)-7 Courses #
Publisher: edX + Pragmatic AI Labs #
Release Date: April 2024 #
edX Professional Certificate in Rust Programming #
Publisher: edX + Pragmatic AI Labs #
Release Date: April 2024 #
LLMOps Specialization (Specialization: 6 Courses) #
Publisher: Coursera + Duke #
Release Date: 2/1/2024 #
- 📚LLMOps Specialization
- 📚Introduction to Generative AI
- 📚Operationalizing LLMs on Azure
- 📚Databricks to Local LLMs
- 📚Advanced Data Engineering
- 📚GenAI and LLMs on AWS
- 📚Open Source LLMOps Solutions
- 📚Foundations of Local Large Language models
Rust Programming Specialization (Specialization: 5 Courses) #
Publisher: Coursera + Duke #
Release Date: 1/1/2024 #
- 📚Rust Programming Specialization
- 📚Rust for DevOps
- 📚Rust LLMOps
- 📚Rust Fundamentals
- 📚Data Engineering with Rust
- 📚Python and Rust with Linux Command Line Tools
Applied Python Data Engineering Specialization (Specialization: 3 Courses) #
Publisher: Coursera + Duke #
Release Date: 1/1/2024 #
- 📚Applied Python Data Engineering Specialization
- 📚Data Visualization with Python
- 📚Virtualization, Docker, and Kubernetes for Data Engineering
- 📚Spark, Hadoop, and Snowflake for Data Engineering
MLOps (Specialization: 4 Courses) #
Publisher: Coursera + Duke #
Release Date: 1/1/2023 #
- 📚MLOps | Machine Learning Operations Specialization
- 📚DevOps, DataOps, MLOps
- 📚MLOps Platforms: Amazon SageMaker and Azure ML
- 📚MLOps Tools: MLflow and Hugging Face
- 📚Python Essentials for MLOps
Foundations of Data Engineering (Specialization: 4 Courses) #
Publisher: Coursera + Duke #
Release Date: 4/1/2022 #
- Take the Specialization
- Course1: Python and Pandas for Data Engineering
- Course2: Linux and Bash for Data Engineering
- Course3: Scripting with Python and SQL for Data Engineering
- Course4: Web Development and Command-Line Tools in Python for Data Engineering
Cloud Computing (Specialization: 4 Courses) #
Publisher: Coursera + Duke #
Release Date: 4/1/2021 #
Building Cloud Computing Solutions at Scale Specialization Launch Your Career in Cloud Computing. Master strategies and tools to become proficient in developing data science and machine learning (MLOps) solutions in the Cloud
What You Will Learn #
- Build websites involving serverless technology and virtual machines, using the best practices of DevOps
- Apply Machine Learning Engineering to build a Flask web application that serves out Machine Learning predictions
- Create Microservices using technologies like Flask and Kubernetes that are continuously deployed to a Cloud platform: AWS, Azure or GCP
Courses in Specialization #
📺 Latest YouTube Videos #
- Distroless containers with Rust
- AI-900 Get started with AI
- Setting up your Rust development environment
- Deploy Rust on Azure Functions
- Free! Develop on Linux with Codespaces
- Introduction to Azure AutoML using regression
- How to deploy PostgreSQL on Azure
- Create Azure Functions with Flask and automation
- Azure Functions for the AZ-900 certification
- MLOps packaging: HuggingFace and GitHub Container Registry
- Ultimate development environment with VSCode web and Codespaces
- MLOps deployment to Azure Container Apps
- MLOps packaging: HuggingFace and Azure Container Registry
- MLOps packaging: HuggingFace and Docker Hub
- GitHub Codespaces with custom dotfiles
- Small Models, Big Potential: The Edge Computing Revolution
- Introduction to Essential AWS Services
- Productivity Hacks of Highly Effective People
- Mastering Lifelong Learning Through Goal-Setting
- The Cloud Talent Gap
- Operationalizing LLMs Responsibly
- 🦀 Rust + 🤖 LLMs: 🚀 Supercharge MLOps & AI Ethics
- Software Grows like Trees, Not Playgrounds
- Five Whys Fix Failures
- 🚀 Phi: Tiny Language Model Outperforms Giants 🧠💪
- The Pitfalls of Rigid Agile
- 🦾 Supercharge Your Organization with AI - 4 Key Areas to Focus On
- 🚀 Skyrocket Your Productivity with These 6 Game-Changing Techniques
- 🤖 Verify Rust Code with Cargo Test
- 🤖 Handle Python Exceptions in Rust Code