Coding tutorials, software development, and CS concepts
This comprehensive course teaches MLflow as an end-to-end solution for managing machine learning lifecycles, covering the critical transition from ad hoc notebook experimentation to reproducible, production-ready MLOps workflows.
Andrew Brown presents a free certification prep course for the NVIDIA Certified Associate AI Infrastructure and Operations (NCA AIIO) exam, emphasizing that success requires memorizing H100 hardware specifications and completing practice exams rather than hands-on data center experience, with total study time ranging from four to twelve hours depending on prior knowledge.
This tutorial demonstrates how to build a production-ready screen recording platform similar to Loom using Next.js 15 and Mux, covering video infrastructure challenges, direct upload architecture, and AI-powered features including automatic transcription.
Corey Schafer demonstrates implementing secure profile picture uploads in FastAPI using Pillow for image resizing and format standardization, with proper handling of CPU-bound tasks in async contexts and safe file transaction patterns to prevent data loss.
This tutorial provides a comprehensive beginner's guide to setting up Claude Code, Anthropic's terminal-based AI coding agent, covering installation requirements, GitHub integration, and the essential workflow of pairing the tool with visual code editors to generate projects through natural language prompts.
![The ultimate dev skill is Integration Testing – Interview with Internet of Bugs [Podcast #209]](https://i.ytimg.com/vi/s950xhRvqYQ/hqdefault.jpg)
Veteran developer Carl Brown argues that LLMs are sophisticated compression tools rather than true intelligence, explains how he uses them for drafting code despite measurable quality trade-offs, and draws parallels between current AI hype and past industry fads like offshoring.
This comprehensive Kubernetes course traces the evolution of application deployment from bare metal servers to containerized microservices, explaining how modern container orchestration solves the resource inefficiency and scalability limitations that plagued traditional monolithic and VM-based architectures.
This comprehensive tutorial establishes the foundation for building AI agents using Python, progressing from basic syntax and environment setup through data manipulation, API integration, and LLM deployment using both proprietary and open-source tools.
This comprehensive beginner's course demystifies Notion by teaching its two core principles—everything exists as draggable blocks and pages replace traditional folders—while demonstrating how to build organized workspaces using slash commands, nested hierarchies, and visual customization.
![The three paths AI could take from here - Shawn Wang SWYX interview [Podcast #208]](https://i.ytimg.com/vi/kQqrMNviM9U/hqdefault.jpg)
Shawn Wang (Swyx) discusses how AI is transforming hackathons through both democratized development and preparatory cheating, while arguing developers should shift from 'just-in-case' to 'just-in-time' learning as abstraction layers accelerate, though fundamental literacy remains crucial for debugging AI limitations.
Nana from TechWorld with Nana breaks down Google's structured coding interview process and demonstrates how to solve the 'Maximal Square' matrix problem using dynamic programming, emphasizing that optimal solutions and clear communication are required to outperform competing candidates.
This orientation lecture introduces a comprehensive computer networking course covering the full stack from physical layer to application protocols, emphasizing a learn-by-doing methodology with theory, problem-solving, and revision for exam and interview preparation.