Software & AI Engineering

From core fundamentals and algorithms to autonomous AI systems

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Operating Systems

Core fundamentals covering processes, threads, concurrency, virtual memory, scheduling, and file systems.

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OS Crash Course Fast-paced guide covering kernel architecture, processes, threads, virtual memory & syscalls
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OS Detailed Course In-depth study of scheduling algorithms, synchronization primitives, page replacement & I/O systems
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Networking Concepts

Core protocols and architecture covering OSI & TCP/IP layers, routing, DNS, sockets, HTTP/3, and network security.

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Networking Crash Course Fast-paced guide covering TCP/IP stack, DNS lookup, HTTP/HTTPS, TLS & socket fundamentals
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Networking Detailed Course In-depth study of routing algorithms, TCP congestion control, QUIC, BGP & load balancing
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Python

Comprehensive study guides covering core syntax, data structures, object-oriented patterns, async, and runtime internals.

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Python Crash Course Fast-paced guide covering language syntax, collections, functions & core patterns
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Python Detailed Course In-depth walkthrough covering OOP, decorators, generators, async programming & memory model
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DSA

Visual explanations, real-world mental models, algorithmic paradigms, complexity analysis, and interview problem solutions.

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DSA Crash Course Visual crash course with real-world analogies, animated diagrams, and Python/JS code
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DSA Detailed Course Comprehensive study of trees, graphs, heaps, dynamic programming & sorting algorithms
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AI Projects

Hands-on AI applications, LLM orchestration, RAG pipelines, autonomous agents, and interview evaluation tools.

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AI Playground Multi-model prompt playground, summarizer, joke generator, and LLM arena
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InterviewIQ Autonomous ReAct tool-calling mock-interview coach with real-time STAR evaluation
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