Software & AI Engineering
From core fundamentals and algorithms to autonomous AI systems
Operating Systems
Core fundamentals covering processes, threads, concurrency, virtual memory, scheduling, and file systems.
Networking Concepts
Core protocols and architecture covering OSI & TCP/IP layers, routing, DNS, sockets, HTTP/3, and network security.
Programming Languages
Comprehensive study guides covering language syntax, data structures, OOP, closures, asynchronous runtimes, memory models, and execution internals.
DSA
Visual explanations, real-world mental models, algorithmic paradigms, complexity analysis, and interview problem solutions.
DevOps
Developer-centric containerization and deployment workflows: Docker packaging, Kubernetes app runtime, CI/CD pipelines, 12-factor config, and app observability.
AWS
Developer-centric cloud engineering: EC2, ECS & EKS containers, serverless Lambda, S3, DynamoDB single-table design, VPC subnets & Well-Architected systems.
AI Projects
Hands-on AI applications, LLM orchestration, RAG pipelines, autonomous agents, and interview evaluation tools.