Software & AI Engineering
From core fundamentals and algorithms to autonomous AI systems
Operating Systems
How one machine runs thousands of programs at once: system calls, processes and threads, scheduling, virtual memory, locks and deadlock, file systems, I/O and containers.
Networking Concepts
How bytes cross the world: encapsulation and MAC addresses, subnets and routing, NAT, TCP reliability and congestion control, DNS, HTTP/1.1 through HTTP/3, TLS, load balancers and CDNs.
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.
Design Patterns
LLD
HDL
Git
DevOps
AWS
Regions and Availability Zones, IAM policy evaluation, VPC networking, S3, compute, databases, messaging, observability and the cost model — taught with animations.
AI Engineering
AI Projects
Hands-on AI applications, LLM orchestration, RAG pipelines, autonomous agents, and interview evaluation tools.