AI (artificial intelligence)
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Categories(15)
AI agents are autonomous loops where a language model decides which tool or function to call next, runs it, observes…
AI app building covers the work of turning an LLM API into a product that real users pay for. The category sits between…
AI for Business & Product focuses on the practical integration of artificial intelligence into existing business…
AI-assisted coding is the workflow built around large language models that write, refactor, review, and explain code…
ChatGPT is OpenAI's conversational interface to its GPT family of models, launched in November 2022. The category…
Claude Code is a tool developed by Anthropic that leverages the capabilities of the Claude model to enhance the…
Computer vision is a dynamic field of artificial intelligence focused on enabling machines to interpret and make…
Data processing and analysis covers the day-to-day work of turning raw operational data into something a person or…
LLMs (large language models) are neural networks trained on enormous text corpora to predict the next token given a…
Machine learning is a subset of artificial intelligence that enables computers to learn from data and make decisions…
Math & Statistics underpin many aspects of software engineering and data science, providing the foundational tools…
Model Context Protocol (MCP) is an open standard introduced by Anthropic in late 2024 to streamline the integration of…
Prompt Engineering is the discipline of crafting precise instructions for language models to ensure consistently…
Python is a high-level, general-purpose programming language designed around code readability and a deliberately small…
Courses(381)
Showing 121–150 of 381 courses
Updated 1mo agoBuild a real semantic search pipeline for logs: FastAPI, embeddings stored in qdrant, a Streamlit UI, and a DuckDB comparison.53m
Updated 1mo agoLearn Apache Iceberg hands-on: schema evolution, time travel, and a real local Lakehouse lab with Docker, Spark, and MinIO.33m
Updated 1y agoThe Hidden Foundation of GenAI gives you a clear start in embeddings. You learn what sits under LLMs, vector search, and semantic tools.20m5/5
Updated 1mo agoMove past Python basics into composability, interfaces, and design: writing systems that stay maintainable as they grow.34h 56m5/5
Updated 1y agoThe most interesting thing in software right now is MCP. It's a protocol that turns applications into smart conversational partners: instead of.7h 23m3/5
ClassicUnlock the potential of large language models with our intensive course, " LLM Basics in 10 Hours ".10h 30m5/5
Updated 1y agoThe course "Master AI for Work" is tailored for professionals eager to harness the power of large language models (LLMs) in their careers.2h 27m
Updated 1mo agoBuild a full B2B AI support platform: real-time chat, voice support, RAG-powered knowledge base, billing, and error tracking.22h 20m5/5
Updated 1mo agoFine-tune an open LLM with QLoRA and deploy it to production on AWS, from Hugging Face training to a working Streamlit UI.7h 12m5/5
Updated 1mo agoLearn Apache Airflow from architecture to advanced orchestration: retries, failure handling, sensors, and Spark integration.2h 21m
FreeUpdated 1mo agoFree course on scaling machine learning with Spark ML: regression, classification, feature engineering, and hyperparameter tuning.2h 7m
Updated 1y agoExplore the cutting-edge world of Retrieval-Augmented Generation (RAG) in this comprehensive course designed to deepen your understanding of both the.2h 40m5/5
Updated 1mo agoBuild a real AI agent in n8n that manages tasks in Linear, and learn to automate everyday workflows with AI built directly in.49m
Updated 1mo agoLearn how to take a full-stack app from idea to live deployment in a single day, built for freelancers and indie hackers.28m5/5
Updated 1y agoPrompt Engineering helps you guide AI models with clear and useful inputs. LLMs can write, plan, explain, and code.45m5/5
Updated 1mo agoLearn how Model Context Protocol works, then build and test your own MCP server to give AI agents new tools, data, and actions.1h 10m5/5
Updated 1y agoUnlock the potential to create visually stunning and fully functional web applications with the power of Replit Agent —an advanced AI agent dedicated to.44m5/5
ClassicExplore the power of integrating Supabase with Bolt in this comprehensive workshop, designed as a continuation of the "Overnight Fullstack Applications" course.42m5/5
ClassicAI is everywhere - but can you really create applications with it? Most developers have tried ChatGPT.7h 3m5/5
Updated 1y agoThis is a practical training where you will learn full-stack development of SaaS applications based on Cloudflare Workers step by step.11h 27m5/5
Updated 1mo agoLearn to build and ship a real ML system, not just a notebook model, through a full project forecasting NYC taxi demand.4h 3m5/5
ClassicThis course is your practical path to a career as a generative AI engineer: not just using technologies, but creating them. First, you will enhance your skills.18h 33m5/5
Updated 1mo agoGame math made practical: trigonometry, vectors, matrices, quaternions, and interpolation, tied to real game-dev problems.6h 5m
ClassicClaude Code is a course that teaches how to use the intelligent assistant (AI) from Anthropic for programming directly in the terminal.2h 23m5/5
Updated 1mo agoBuild a landing-page generator with Next.js while learning to plan, structure, and hand off real coding tasks to Claude Code step by step.47m
Updated 1mo agoBuild a FigJam-style whiteboard app with Claude Code and Opus 4 in Cursor IDE, on a ready-made Next.js and Supabase template.1h 12m5/5
Updated 1y agoThe course "Cursor AI: A Complete Guide for Developers" is designed for developers aiming to accelerate the process of creating websites.6h 52m5/5
Updated 1mo agoBuild a real Azure ETL pipeline with Terraform: Data Factory, Synapse Analytics, Power BI, and a Medallion Lakehouse architecture.4h 20m
Updated 1y agoThis is not a course about "smart prompts" – this is a course about creating real AI systems that truly get the job done.6h 55m5/5
Updated 1y agoThe best way to understand how Large Language Models (LLM) work is to build your own. And that is exactly what you will do in this course.17h 15m5/5