LLM Engineering
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Categories(6)
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…
LLMs (large language models) are neural networks trained on enormous text corpora to predict the next token given a…
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…
RAG (Retrieval-Augmented Generation) is an innovative architectural pattern that enhances the capabilities of language…
Courses(99)
Showing 31–60 of 99 courses
Updated 6mo agoBecome an expert in creating AI agent systems for production. Learn how to develop scalable AI agents and make them work in real-world conditions.7h 33m5/5
Updated 6mo agoLearn to develop AI applications and agent systems with practical examples and theory. Master content generation and process automation using AI.4h 2m
Updated 6mo agoLearn how to develop autonomous AI agents for business in practice. The course from Nomad Coders covers current frameworks and real projects.24h 27m5/5
Updated 1mo agoLearn to build RAG-powered AI apps that pull fresh, current data into LLM responses, from retrieval basics to multimodal agents.17h 51m5/5
Updated 6mo agoUnlock your potential as an AI/ML Engineer with five hands-on projects on AWS. This course is designed to offer you practical experience.5/5
Updated 6mo agoUnlock the full potential of AI chatbots with ChatRAG – a comprehensive Next.js build designed for launching a successful SaaS business.
Updated 7mo agoMaster agent-based programming using AI models and tools like Claude and GPT-5.1. Create applications faster and become a systems architect.11h 58m5/5
Updated 7mo agoLearn to create a personal AI assistant using TypeScript in 5 days. Work with data, customize it to your needs, and apply modern techniques.3h 38m5/5
Updated 7mo agoLearn how AI and LLM models work in just a few hours. The course helps to master the technical aspects without delving into programming. Ideal for developers.8h 9m
Updated 7mo agoStudy the transition from AI coding to agent engineering. Create autonomous systems that design and test themselves, applying advanced practices.12h 53m4/5
Updated 8mo agoStop memorizing random prompts. Instead, learn how Large Language Models (LLMs) actually work and how to use them effectively. This course will take you from be31h 45m5/5
Updated 1mo agoBuild no-code AI agents in n8n across 25 lessons: LLM integration, triggers, real-service connections, and scheduled automation deployment.2h 51m5/5
Updated 10mo agoLearn how to use agent AI to create and improve Python applications. Discover the difference from chatbots and customize AI for your tasks.2h 38m5/5
Updated 11mo agoLearn to integrate AI with Go: create projects, enhance skills, and deploy AI apps. Includes LLM API, vector databases, and model interactions.11h 13m5/5
Updated 1mo agoBuild a local RAG pipeline with LlamaIndex, Elasticsearch, and Ollama: process PDFs, index vectors, and query them via a Streamlit chat UI.1h 49m
Updated 1mo agoA text-based introduction to how modern AI works: model training, practical examples, and the ethical questions shaping its use.
Updated 1mo agoBuild custom AI agents and rule files that give your assistant lasting context on your code style, project details, and requirements.1h 2m
Updated 1mo agoLearn Retrieval-Augmented Generation: how embeddings, vector search, and context building let AI models answer questions using your own data.26m
Updated 1y agoLearn Python from the ground up and use it to build your own AI tools. You start with the basics and grow the skills you need to work with LLMs in real.1h 41m5/5
Updated 1mo agoBuild a real semantic search pipeline for logs: FastAPI, embeddings stored in qdrant, a Streamlit UI, and a DuckDB comparison.53m
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 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 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 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