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A five-lecture sprint covering the foundational pillars of a university CS degree — from discrete math and computer architecture to operating systems and algorithms.
Six videos on how modern AI actually works — what an LLM is, how RAG grounds it in real data, how models are fine-tuned, and how teams evaluate quality with metrics and eval harnesses before shipping. One video a day for six days.
Rigorous deep learning curriculum — backpropagation mechanics, convolutional networks, transformers, and optimization strategies for modern neural networks.
Five hand-picked videos on Git — from your first commit to branching, merging and undoing mistakes safely. One video a day, and you will stop being afraid of the command line.
Understand the entire networking stack — from TCP/IP and congestion control to DNS, HTTP/3, and routing protocols across global internet architecture.
A deep technical dive into how databases work under the hood — B-Trees, LSM-Trees, write-ahead logging, concurrency control, and buffer pool management.
In-depth lectures on distributed systems — consensus protocols (Raft/Paxos), fault tolerance, replication, and large-scale architectural trade-offs.
Three hand-picked videos on SQL joins — from what a join really does to inner, left, right and full outer joins in practice. One video a day, and you will read any query plan with confidence.
Master operating system fundamentals through comprehensive university lectures on process scheduling, virtual memory, system calls, and concurrency primitives.
A five-video sprint on analysing data with Python — pandas basics, cleaning messy tables, grouping and plotting. For anyone who can already write a little Python and wants real analysis skills.