Hugging Face 课程可以帮助您学习自然语言处理、Transformer Model 以及如何针对特定任务对 AI 模型进行微调。您可以掌握文本生成、Sentiment Analysis 和部署机器学习应用程序方面的技能。许多课程都会介绍一些工具,如 Hugging Face Transformers 库和来自 Hugging Face Hub 的数据集,这些工具支持有效地训练和评估 AI 模型。您还将探索 AI 在聊天机器人、内容创建和语言翻译中的实际应用。

DeepLearning.AI
您将获得的技能: Hugging Face, LLM Application, Generative AI, Model Deployment, Cloud Deployment, Natural Language Processing, Large Language Modeling, Applied Machine Learning, User Interface (UI), API Design, Computer Vision
初级 · 项目 · 不超过 2 小时

您将获得的技能: Hugging Face, Model Evaluation, LLM Application, Large Language Modeling, Model Deployment, Computer Programming, Generative Model Architectures
中级 · 课程 · 1-4 周

您将获得的技能: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Data Collection, Machine Learning Algorithms, Convolutional Neural Networks, Model Deployment, Transfer Learning, Hugging Face
中级 · 专业证书 · 3-6 个月

IBM
您将获得的技能: 生成式人工智能, Python 程序设计, 检索-增强生成, 迁移学习, 数据科学, Keras(神经网络库), Prompt Engineering, 监督学习, 计算机视觉, PyTorch(机器学习库), 模型评估, PySpark, LLM 申请, Apache Spark, 机器学习, 视觉转换器(ViT), 大型语言模型, 矢量数据库, 无监督学习, 生成模型架构
攻读学位
中级 · 专业证书 · 3-6 个月

Simplilearn
您将获得的技能: Hugging Face, Natural Language Processing, Large Language Modeling, Generative AI, Text Mining, Prompt Engineering, AI Workflows, Model Evaluation
初级 · 课程 · 1-4 周

Duke University
您将获得的技能: 模型部署, CI/CD, 云部署, GitHub, MLOps(机器学习 Operator), 迁移学习, 模型评估, 机器学习软件, 微软 Azure, Devops, Docker (软件), 集装箱化, 云计算, 拥抱的脸
高级设置 · 课程 · 1-4 周

您将获得的技能: Hugging Face, LLM Application, LangChain, Large Language Modeling, OpenAI, Natural Language Processing, Generative AI Agents, ChatGPT, Responsible AI, Embeddings, Application Programming Interface (API), Text Mining, Restful API, Agentic systems, Open Source Technology, Data Preprocessing, MLOps (Machine Learning Operations), Python Programming, Model Evaluation
初级 · 课程 · 1-4 周

您将获得的技能: Prompt Engineering, Exploratory Data Analysis, Prompt Patterns, LangChain, Large Language Modeling, Retrieval-Augmented Generation, Model Evaluation, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Data Transformation, Supervised Learning, Responsible AI, Vector Databases, Data Import/Export
初级 · 专业证书 · 3-6 个月

您将获得的技能: Prompt Engineering, Large Language Modeling, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, PyTorch (Machine Learning Library), Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Data Ethics, Data Preprocessing, Artificial Intelligence, Text Mining, Performance Tuning
中级 · 专项课程 · 3-6 个月

您将获得的技能: Hugging Face, Large Language Modeling, Transfer Learning, Text Mining, Semantic Web, Tensorflow, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Embeddings, Python Programming, Applied Machine Learning, Unsupervised Learning
中级 · 课程 · 1-4 周

IBM
您将获得的技能: 生成式人工智能, 模型部署, Prompt Engineering, 拥抱的脸, 大型语言模型, 深度学习, 生成模型架构, 自然语言处理, IBM 云, OpenAI
初级 · 课程 · 1-4 周

Pearson
您将获得的技能: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Image Analysis, Model Evaluation, Autoencoders, Hugging Face, Computer Vision, Convolutional Neural Networks, Artificial Neural Networks, LLM Application, Natural Language Processing, Deep Learning, Embeddings, Tensorflow, Transfer Learning, Performance Tuning
中级 · 专项课程 · 1-4 周
浏览下面的 Hugging Face 课程--Coursera 上的热门起点。
是的,您可以通过免费访问许多课程的第一个 Modulation 开始在 Coursera 上免费学习 "拥抱的脸"。这包括视频课程、阅读,甚至还有分级作业--如果有的话,还可以获得 Coursera Coach 的支持。如果您想继续学习、获得证书或解锁完整课程,可以升级或申请经济援助。
您将获得的具体技能和知识取决于您报读的课程,但一些常见的技能包括自然语言处理、模型训练和部署、使用Transformer 库以及开源机器学习Workflow。