Curated Links
Workshops, Courses & More
Curated workshops, courses, articles, and other resources to ship better with AI. Filter by tag or browse all.
Courses
Courses and learning tracks
LLM Course by Maxime Labonne
Large language model course. From basics to RAG, agents, and fine-tuning.
dlt Fundamentals
Course from dlthub on building robust ELT pipelines. Includes a holiday lesson (Dec 22) on integrating LLMs into your workflow, with 50 swag packs to compete for.
FreeCodeCamp Course
Learn how to build modern, scalable data pipelines using Python and AI-assisted tools. This hands-on tutorial starts from the basics of data ingestion and takes you all the way to advanced techniques in data loading, transformation, deployment, and automation. By freeCodeCamp, featuring Alexey Grigoriev and Adrian Brudaru.
AI Agents Email Crash-Course (Cohort Edition)
Free cohort-based version running December and January. Complete the project and review three other submissions to receive a certificate of completion signed by Alexey.
Agentic AI Crash Course
A free introductory crash course on agentic AI that explains how modern AI agents work in practice, from tools and RAG to memory, planning, MCP, and multi-agent systems. Designed as a clear, realistic starting point focused on real-world system design and limitations rather than hype.
Assignments for
Programming assignments for
Data Engineering Zoomcamp
New cohort starts on January 12, 2026. A free 9-week course on building production-ready data
LLM Fine-Tuning roadmap
Curated resource for
Claude Code and Large-Context Reasoning
Materials from Tim Warner's O'Reilly Live Learning
You Could've Invented OpenClaw
Tutorial by Nader Dabit for building a persistent AI assistant from scratch (starting with a Telegram bot + Anthropic API) and iteratively adding sessions, memory, tool use, and scheduled tasks.
CS336: Language Modeling from Scratch
Implementation-heavy Stanford course that walks through building a language model end to
Other
Datasets, APIs, and more
Awesome ML
Curated list of ML resources. Frameworks, papers, and tools.
AGENTS.md
Open standard for AI coding
Claude Use Cases
Curated library of real-world Claude use cases across research, writing, coding, analysis, and everyday work. Organized by role, industry, and feature with concrete, end-to-end examples.
AI Engineering Hub
Large open-source GitHub
awesome-slash
Curated list of tools, patterns, and projects built around slash-command interfaces. Practical reference for command-driven workflows, bots, and developer tools.
500+ AI Agent Projects
Curated collection of AI agent use cases across healthcare, finance, education, retail, and more. Maps practical applications to open-source implementations and frameworks (CrewAI, AutoGen, Agno, LangGraph). Hands-on inspiration hub for builders and practitioners.
Materials from my talk, "A Day of an AI Engineer"
Practical resource that combines a live webinar recording with the full planned write-up and a demo project. It also compares the AI Engineer role to traditional data team roles and maps modern AI projects to CRISP-DM.
Locality Sensitive
In-depth tutorial from Pinecone's FAISS learning series that covers LSH (theory + Python implementation) for approximate nearest-neighbor search.