Google Cloud
Introduction to Large Language Models - 简体中文
这是一节入门级微学习课程,探讨什么是大型语言模型 (LLM)、适合的应用场景以及如何使用提示调整来提升 LLM 性能,还介绍了可以帮助您开发自己的 Gen AI 应用的各种 Google 工具。
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Learn Language Models online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
Google Cloud
这是一节入门级微学习课程,探讨什么是大型语言模型 (LLM)、适合的应用场景以及如何使用提示调整来提升 LLM 性能,还介绍了可以帮助您开发自己的 Gen AI 应用的各种 Google 工具。
CodeSignal
Learn the fundamentals of prompt engineering for working with large language models. Practice writing prompts that guide text generation, formatting, revision, and response length.
Universidad del Rosario
Aprende IA generativa, diseño de prompts con TCREI, ingeniería de prompts avanzada, cadenas de pensamiento, estructuras condicionales en prompts y creación de asistentes inteligentes. Además, aplica modelos como ChatGPT para automatización, generación de contenido y análisis de datos en contextos r…
Universitat Politècnica de València
Potencia tus revisiones sistemáticas de literatura: sentence transformers como copiloto de cribado
Google Cloud
In diesem Einführungskurs im Microlearning-Format wird untersucht, was Large Language Models (LLM) sind, für welche Anwendungsfälle sie genutzt werden können und wie die LLM-Leistung durch Feinabstimmung von Prompts gesteigert werden kann. Darüber hinaus werden Tools von Google behandelt, die das E…
Google Cloud
このコースは、大規模言語モデル(LLM)とは何か、どのようなユースケースで活用できるのか、プロンプトのチューニングで LLM のパフォーマンスを高めるにはどうすればよいかについて学習する、入門レベルのマイクロ ラーニング コースです。独自の生成 AI アプリを開発する際に利用できる Google ツールも紹介します。
Google Cloud
Dieser Kurs wurde speziell für Fachkräfte im Gesundheitswesen entwickelt und erläutert und erklärt die Grundlagen von generativer KI, der neuesten Durchbrüche im Bereich der künstlichen Intelligenz, und der zugrunde liegenden Large Language Models (LLMs). Sie lernen reale Anwendungsfälle von genera…
Google Cloud
這是一堂入門級的微學習課程,旨在探討大型語言模型 (LLM) 的定義和用途,並說明如何調整提示來提高 LLM 成效。此外,也會介紹多項 Google 工具,協助您自行開發生成式 AI 應用程式。
Google Cloud
Este é um curso de microlearning de nível introdutório que explica o que são modelos de linguagem grandes (LLM), os casos de uso em que podem ser aplicados e como é possível fazer o ajuste de comandos para aprimorar o desempenho dos LLMs. O curso também aborda as ferramentas do Google que ajudam a…
Google Cloud
대규모 언어 모델(LLM)이란 무엇이고, LLM을 활용할 수 있는 사용 사례로는 어떤 것이 있으며, 프롬프트 조정을 사용해 LLM 성능을 개선하는 방법을 알아보는 입문용 마이크로 학습 과정입니다. 또한 자체 생성형 AI 앱을 개발하는 데 도움이 되는 Google 도구에 대해서도 다룹니다.
Institute of Product Leadership (IPL)
Level Up Your Product Management Skills and future-proof your Product Management career with AI
CodeSignal
Build an AI-powered chatbot web application with Python and FastAPI. Learn to connect a conversational model API to a responsive chat interface and deploy the core service behind it.
CodeSignal
Learn practical prompt engineering techniques for working with AI chat tools. Practice writing clear instructions, controlling outputs, and refining responses for specific goals.
CodeSignal
Build secure, context-aware AI chatbots with NVIDIA NeMo Guardrails and Colang 2.0. Develop guardrail policies, advanced conversation flows, and Python-powered agent actions.
CodeSignal
Learn the foundations of Retrieval-Augmented Generation (RAG) systems, including text representations, vector databases, semantic retrieval, and pipeline design. Build an understanding of how retrieval can improve generated responses and reduce hallucinations.
KodeKloud
Generative AI is reshaping every industry — and building with it starts here. This course gives you the practical foundation to engineer AI-powered applications immediately, combining a clear understanding of how large language models work with hands-on OpenAI API development and real project work.…
CodeSignal
Learn practical techniques for evaluating large language models across question answering and text generation tasks. Compare model behavior using reference-based metrics, semantic similarity, log probabilities, and perplexity.
CodeSignal
Learn practical techniques for preparing text data for large language model workflows. Build skills in cleaning, tokenization, vectorization, chunking, storage, and scalable dataset optimization.
CodeSignal
Build a production-oriented agentic application in Python using the 12-Factor Agents methodology, from structured tool use and stateless execution to persistent APIs and human-in-the-loop workflows.
Maven Analytics
As data professionals in the age of AI, we now have access to tools that give us superpowers to work smarter and faster than ever before. In this course we’ll introduce you to the world of deep learning and generative AI, explore the rapid rise of large language models like ChatGPT and Gemini, and…