course

Stanford course 'The Modern Software Developer' starts next Tuesday, with a GitHub repository providing assignments for the course.

Stanford has released a free 67-minute course on building AI agents from scratch, covering both coding and no-code methods.

Stanford AI Lab announces the public release of recordings and materials for CS 312: Deep Learning Alchemy course, including assignments and quizzes on deep learning concepts like transformer components.

Stanford lanzó una clase gratuita que explica cómo funcionan Claude y ChatGPT en 1 hora y 50 minutos.

A comprehensive free Rust programming guide with over 170 chapters and an integrated practice environment, designed for beginners and created by sunface.

A 12-week introductory course on quantum oracle engineering covering practical quantum circuit construction, Monte Carlo speedups, reversible computing, and Qiskit implementation.

LangChain Academy introduces a free course on LangSmith Essentials to teach the essentials of the LangSmith platform for agent engineering, including tracing, debugging, and deployments.

LangChain offers a free LangSmith Essentials course to teach the agent development lifecycle, enabling teams to build, test, deploy, and monitor AI agents systematically.

A promotional tweet for a 1-hour Claude AI full course that teaches building and automation skills.

Matt Pocock promotes his AI Coding Crash Course with a 33% discount, teaching effective use of AI coding agents through practical learning.

freeCodeCamp announces a course on learning n8n, an open-source workflow automation tool, to design and deploy production-grade AI agents with projects on RAG, vector databases, and hosting options.

Matt Pocock shares a template letter for developers to convince their bosses to invest in his AI Hero course, which teaches a structured engineering process for using AI coding assistants effectively.

This tweet recommends MIT's 'Introduction to Machine Learning' course on the Open Learning Library, highlighting its user-friendly interface design and suitability for self-learners.

A promotional tweet for a new course aimed at helping developers achieve better control and efficiency when coding with AI, addressing issues like accuracy and task management.

Stanford University has released the full recordings of the graduate course CS329A: Self-Improving AI Agents on YouTube, with 9 lectures covering topics such as test-time compute, verifiers, reinforcement learning, tool feedback, and multi-step reasoning, systematically organizing the direction of agent self-improvement.

Recommending Microsoft's official free open-source course 'generative-ai-for-beginners', 21 lessons covering core generative AI topics, multi-language support, with over 100k stars on GitHub.

Matt Pocock is finishing his first AI coding course, available year-round for experienced and new developers, priced at ~$200, shipping this month.

Recommending Stanford University's CS329A course, about self-improving AI agents, covering scaling laws, chain-of-thought, RLHF, reasoning models, and more.

Tweet highlighting a Stanford 3-hour course on building self-improving AI agents from scratch, covering basics, multi-step reasoning, and learning from feedback, with a mention of high salaries for AI engineers.

A tweet highlights Stanford's 2-hour course on building LLMs from scratch, covering tokenization, decoding, training pipelines, and architecture, noting that Anthropic pays high salaries for such expertise.