Pragmatic AI Labs Courses

GitHub Enterprise Administration

Master GitHub Enterprise administration, covering SAML SSO, access permissions, security compliance, GitHub Actions at scale, and package management with hands-on demos.

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

Data Engineering with Delta Lake on Databricks

Master production-ready data pipelines using Delta Live Tables and Medallion Architecture on Databricks through hands-on labs and a complete inventory management capstone project.

• Coursera
• 5 hours 9 minutes
• Self-Paced
• Paid Course

Databricks Lakehouse Fundamentals

Discover how to build data pipelines on Databricks Lakehouse Platform with hands-on PySpark, Delta Lake, and Unity Catalog training for complete data engineering workflows.

• Coursera
• 4 hours 53 minutes
• Self-Paced
• Paid Course

Generative AI and LLMs on Databricks

Master production GenAI systems on Databricks through prompt engineering, RAG pipelines, model governance, and code intelligence with hands-on projects and evaluation metrics.

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

Machine Learning with Databricks and MLflow

Master MLflow and Databricks to build, track, and deploy production-ready machine learning models while solving the reproducibility crisis through structured experiment tracking.

• Coursera
• 4 hours 32 minutes
• Self-Paced
• Paid Course

Production Governance and MLOps on Databricks

Master Databricks governance, Unity Catalog, CI/CD workflows, and MLOps practices to build secure, reliable data pipelines and AI applications with hands-on tools and real-world code.

• Coursera
• 6 hours 59 minutes
• Self-Paced
• Paid Course

GitHub Production Applications

Build a complete production app using GitHub Copilot, covering API design, business logic, database persistence, testing, and code review in a real-world development workflow.

• Coursera
• 3 hours 20 minutes
• Self-Paced
• Paid Course

GitHub: Advanced Prompt Engineering for Code

Master advanced GitHub Copilot techniques—multi-turn interactions, iterative refinement, and context control with @workspace and #file markers—to produce production-quality code efficiently.

• Coursera
• 3 hours 14 minutes
• Self-Paced
• Paid Course

GitHub: Codespaces, Actions, and Ecosystem Tools

Master cloud-based dev environments with GitHub Codespaces, GPU-accelerated AI workloads, Copilot-assisted coding, and automated CI/CD pipelines using GitHub Actions.

• Coursera
• 2 hours 38 minutes
• Self-Paced
• Paid Course

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

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

GitHub: AI-Augmented Testing and Refactoring

Master AI-augmented workflows using GitHub Copilot for test-driven development, system-wide refactoring, and infrastructure-as-code generation with Ansible, Docker, and Terraform.

• Coursera
• 3 hours 22 minutes
• Self-Paced
• Paid Course

Career Certificate

Mastering GitHub

Master GitHub from foundational Git skills to autonomous AI agent systems, covering CI/CD, Copilot, enterprise security, and prompt engineering in a 9-course path.

• Coursera
• 40 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 9 courses