Pragmatic AI Labs 👋
Two Elite Master’s Degrees Worth of edX Programs 👇
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
- Take the Specialization
- Cloud Computing Foundations
- Cloud Virtualization, Containers and APIs
- Cloud Data Engineering
- Cloud Machine Learning Engineering and MLOps
AWS Certified Solutions Architect Professional exam (SAP-C01)
Publisher: Linkedin Learning
Release Date: January, 2021
- AWS Certified Solutions Architect - Professional (SAP-C01) Cert Prep: 1 Design for Organizational Complexity
- Microsoft Azure Data Engineering (DP-203): 2 Design and Develop Data Processing
- AWS Certified Solutions Architect - Professional (SAP-C01) Cert Prep: 2 Design for New Solutions
Microsoft Azure Data Engineering (DP-203)
Publisher: Linkedin Learning
Release Date: January, 2021
- Microsoft Azure Data Engineering (DP-203): 2 Design and Develop Data Processing
- Microsoft Azure Data Engineering (DP-203): 2 Design and Develop Data Processing
Become a ML Engineer for Microsoft Azure
Publisher: Udacity
Release Date: Sept, 2020
Become a DevOps Engineer for Microsoft Azure
Publisher: Udacity
Release Date: Sept, 2020
Command Line Automation in Python
Publisher: DataCamp
Track: Data Engineering Track
Release Date: November, 2019
Abstract
There are certain skills that will stay with you your entire life. One of those skills is learning to automate things. There is a motto for automation that gets straight to the point, “If it isn’t automated…it’s broken”. In this course, you learn to adopt this mindset. In one of the many examples, you will create automation code that will traverse a filesystem, find files that match a pattern, and then detect which files are duplicates. Following the course, you will be able to automate many common file system tasks and be able to manage and communicate with Unix processes.
Become a Cloud DevOps Engineer
Publisher: Udacity
Track: Nanodegree Program
Release Date: Summer, 2019
Abstract
Learn to design and deploy infrastructure as code, build and monitor CI/CD pipelines for different deployment strategies, and deploy scaleable microservices using Kubernetes. At the end of the program, you’ll combine your new skills by completing a capstone project.