Системное администрирование

This comprehensive learning plan is essential for anyone pursuing a career in system administration, DevOps, or site reliability engineering in today's cloud-native landscape. It bridges traditional systems knowledge with modern practices like containerization, automation, and cloud operations. Perfect for IT professionals looking to advance their careers, developers transitioning to infrastructure roles, or anyone responsible for maintaining production systems at scale.

Linux kernel for sys engs

This learning plan bridges the gap between traditional systems engineering and kernel-level expertise, equipping infrastructure professionals with the deep technical knowledge needed to optimize, debug, and customize Linux systems at scale. It's ideal for systems engineers, SREs, and infrastructure architects who need to go beyond surface-level Linux administration to solve complex performance issues, implement custom kernel modifications, or manage large-scale production environments where kernel behavior directly impacts reliability and efficiency.

Master AI for work (17 chars)

As AI transforms the modern workplace, professionals who can effectively leverage these technologies gain significant competitive advantages. This learning plan equips both technical and non-technical professionals with practical AI knowledge and skills to enhance productivity, solve complex problems, and advance their careers.

Data center development and policy

This learning plan is essential for professionals navigating the intersection of technology infrastructure and policy in our increasingly digital world. It's ideal for infrastructure engineers, cloud architects, policy makers, sustainability officers, and technology leaders who need to understand both the technical foundations and regulatory landscape of data centers. As organizations face growing pressure to balance digital transformation with environmental responsibility and regulatory compliance, this comprehensive knowledge becomes critical for strategic decision-making.

Become an expert in ai

This learning plan is essential for anyone seeking to understand and work with the most transformative technology of our era. It's ideal for aspiring AI practitioners, technical professionals pivoting into AI, business leaders making strategic AI decisions, and thoughtful individuals who want to critically engage with the technology reshaping society. The curriculum balances technical depth with ethical consideration, preparing learners not just to build AI systems, but to build them responsibly.

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.

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.

About AI

This learning plan provides essential AI literacy for professionals and curious learners navigating our increasingly AI-driven world. Whether you're a business leader making strategic technology decisions, a professional adapting to AI in your field, or simply someone seeking to understand the technology reshaping society, this comprehensive curriculum bridges technical understanding with practical and ethical considerations.