Learn data engineering basics

Data engineering is one of the fastest-growing fields in tech, essential for organizations that need to collect, process, and analyze data at scale. This learning path is ideal for software developers looking to specialize in data infrastructure, analysts wanting to build technical skills, or anyone aspiring to become a data engineer in today's data-driven economy.

Improve SQL/Python/AI skills

This comprehensive learning path takes you from data fundamentals to advanced AI, addressing the massive demand for professionals who can work across the full data-to-AI stack. It's ideal for software developers transitioning to data science, analysts looking to add ML capabilities, or anyone aiming to build production-ready AI systems in today's rapidly evolving tech landscape.

Learn SQL

SQL remains the standard language for managing and analyzing data across industries, making it an essential skill for anyone working with information systems. This learning plan provides a structured path from basic concepts to advanced techniques, benefiting data analysts, developers, business intelligence professionals, and anyone who needs to work with databases.

Data & Business Analytics Hub

In today's data-saturated business environment, the ability to extract insights and drive decisions from data has become essential across all industries and roles. This learning plan is ideal for professionals seeking to advance their careers by developing comprehensive analytics capabilities—from foundational data literacy through advanced predictive modeling—regardless of their technical background. It's particularly valuable for business analysts, managers, strategists, and anyone who needs to leverage data to solve problems and create competitive advantages.

Algorithms

Algorithms form the foundation of computer science and are essential for anyone pursuing software engineering, data science, or technical roles. This learning path takes you from basic algorithmic concepts through advanced optimization techniques, building both theoretical knowledge and practical problem-solving skills. Whether you're preparing for technical interviews, aiming to write more efficient code, or wanting to tackle complex computational challenges, mastering algorithms is crucial for career advancement in technology.

Coding

Coding has become an essential skill in today's digital economy, opening doors to countless career opportunities and enabling you to bring your ideas to life. This learning plan provides a comprehensive pathway from programming basics to advanced software architecture, suitable for beginners seeking to become professional developers or professionals looking to enhance their technical capabilities.

Master-level CS knowledge

This learning path provides the complete technical foundation expected of senior software engineers, technical leads, and CS researchers. It's ideal for software developers looking to advance their careers, those preparing for advanced roles at top tech companies, or anyone seeking to transition into specialized fields like machine learning or distributed systems. The curriculum bridges practical engineering skills with theoretical depth, preparing you for both industry leadership and research opportunities.

AI & Machine/Deep Learning

This comprehensive learning plan is essential for anyone looking to understand and work with the technologies reshaping our world. Whether you're a software engineer expanding into AI, a data professional seeking deeper technical knowledge, or a technical leader needing to understand AI capabilities, this path takes you from foundational concepts through advanced implementations to future-focused perspectives on where AI is heading.