Learning Paths

Learn how microservices are designed, where they fit, and how teams manage communication, resilience and observability.

Build security awareness across identity, application security, cloud configuration, data protection and secure development.

A structured full stack roadmap covering web fundamentals, frontend development, backend services, APIs, databases and deployment.

Understand MLOps, model lifecycle management, automation, monitoring and engineering practices behind production machine learning.

Learn how to choose a technology learning path based on career goals, current skills, projects and practical outcomes.

A structured machine learning roadmap covering fundamentals, data preparation, models, evaluation and deployment.

Explore the technical skills behind production AI applications, from APIs and data to retrieval, evaluation and deployment.

Learn the core concepts shared by modern cloud platforms and build a practical cloud learning roadmap.

A practical DevOps roadmap covering version control, automation, CI/CD, containers, Kubernetes and cloud operations.

Learn the building blocks of modern data engineering, including pipelines, warehouses, lakes, orchestration and data quality.