Pragmatic AI Labs Courses

GitHub: Evaluating and Integrating AI Models

Explore GitHub Models to evaluate, select, and integrate AI models, build FastAPI endpoints, manage rate limits, and deploy production-ready AI applications using GitHub Codespaces and Azure AI.

• Coursera
• 5 hours 7 minutes
• Self-Paced
• Paid Course

GitHub: Governing AI-Generated Code

Master AI code governance with GitHub Copilot—validate, audit, and secure AI-generated code, configure custom rules, and select the right LLM for production workflows.

• Coursera
• 3 hours 44 minutes
• Self-Paced
• Paid Course

GitHub: Security, Identity, and Access

Master GitHub security by configuring 2FA, managing permissions with least-privilege principles, and implementing enterprise governance controls for accounts, repositories, and organizations.

• Coursera
• 2 hours 49 minutes
• Self-Paced
• Paid Course

Fine-Tuning Transformers with Hugging Face

Master transformer fine-tuning with Hugging Face ecosystem, from data preprocessing to model deployment, building production-ready sentiment analysis systems.

• Coursera
• 7 hours 52 minutes
• Self-Paced
• Paid Course

Large Language Models with Hugging Face

Master LLM deployment, prompt engineering, RAG implementation, and agentic systems using Hugging Face ecosystem for real-world AI applications.

• Coursera
• 7 hours 1 minute
• Self-Paced
• Paid Course

Production ML with Hugging Face

Master production ML deployment using the Sovereign Rust Stack with zero Python dependencies across GPU, CPU, WebAssembly, and edge targets through hands-on projects.

• Coursera
• 5 hours 27 minutes
• Self-Paced
• Paid Course

Hugging Face Hub and Ecosystem Fundamentals

Discover how to navigate the Hugging Face ecosystem to find, evaluate, and deploy pre-trained ML models for text, image, and audio tasks across 500,000+ options without training from scratch.

• Coursera
• 2 hours 13 minutes
• Self-Paced
• Paid Course

GitHub: From Zero to Pull Request

Master Git and GitHub from setup to pull requests, then automate workflows with AI agents using MCP, GitHub Actions, and CI/CD pipelines in this hands-on, end-to-end guide.

• Coursera
• 4 hours 26 minutes
• Self-Paced
• Paid Course

Advanced Fine-Tuning in Rust

Master memory-efficient fine-tuning of 7B parameter models on consumer hardware using QLoRA, transformers, and rigorous scientific validation methods in Rust.

• Coursera
• 6 hours 4 minutes
• Self-Paced
• Paid Course

LLM Server

In this course you will learn how to set up a GPU Server on your own infrastructure, download open source models, and build applications with those models programmatically and with Agents

• edX
• 4 weeks, 3-6 hours/week
• Self-Paced
• Free Online Course (Audit)

Large Language Models with Azure

Harness Azure's AI Power: Master Large Language Models, (LLMs) Optimize Deployments, and Build Cutting-Edge Applications.

• edX
• 4 weeks, 3-6 hours/week
• Self-Paced
• Free Online Course (Audit)

Generative AI and LLMs on AWS

Unlock scalable generative AI with expert training on deploying and optimizing large language models on AWS for peak performance and compliance.

• edX
• 4 weeks, 3-6 hours/week
• Self-Paced
• Free Online Course (Audit)

Data Engineering with Databricks

Become an expert in modern data engineering on Databricks' unified lakehouse platform. Master ETL pipelines, data transformations with Apache Spark, and Delta Lake for reliable data management.

• edX
• 3 weeks, 3-6 hours/week
• Self-Paced
• Free Online Course (Audit)

Open Source LLMOps

Unlock Open Source AI: Dive into LLM Architectures, Fine-Tuning, and Cutting-Edge Deployments.

• edX
• 4 weeks, 3-6 hours/week
• Self-Paced
• Free Online Course (Audit)

Advanced Data Engineering

Become an expert in scaling data systems. Master Celery, Airflow, graph databases. Build real-world solutions for massive datasets and complex workflows. Optimize performance at enterprise scale. 10 hands-on labs and exercise to "learn by doing".

• edX
• 4 weeks, 3-6 hours/week
• Self-Paced
• Free Online Course (Audit)