
您将获得的技能: 机器学习, 概率分布, 自然语言处理, 大型语言模型, 生成式人工智能, 模型评估, 强化学习
中级 · 课程 · 1-4 周

LearnQuest
您将获得的技能: Reinforcement Learning, Responsible AI, Agentic systems, Artificial Intelligence, Machine Learning Methods, Distributed Computing, Simulations, Transfer Learning
初级 · 课程 · 1-4 周

您将获得的技能: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Design Research, Persona (User Experience), User Interface and User Experience (UI/UX) Design, Design Software, AI Workflows, User Interface (UI) Design, Brainstorming, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Large Language Modeling, Human Centered Design, User Story, Wireframing, Deep Learning, Ideation
初级 · 专项课程 · 1-3 个月

您将获得的技能: Prompt Engineering, Large Language Modeling, Data Preprocessing, Convolutional Neural Networks, Plot (Graphics), Generative AI, Deep Learning, Unsupervised Learning, Model Evaluation, Natural Language Processing, Responsible AI, Time Series Analysis and Forecasting, Data Visualization, Transfer Learning, Supervised Learning, Data Ethics, Image Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Embeddings
中级 · 专项课程 · 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

Board Infinity
您将获得的技能: Hugging Face, Model Evaluation, Embeddings, Transfer Learning, Recurrent Neural Networks (RNNs), Model Deployment, Data Preprocessing, Performance Tuning
中级 · 课程 · 1-4 周

University of Pennsylvania
您将获得的技能: 机器学习, 留住员工, 数据驱动的决策制定, 人员管理, 人工智能, 区块链, 员工参与, 人力资源分析, 预测分析, 人力资源, 人力资源技术, 负责任的人工智能
混合 · 课程 · 1-4 周
Stanford University
您将获得的技能: 概率分布, 机器学习算法, 贝叶斯网络, 图论, 抽样(统计), Algorithm, 马尔可夫模型, 统计方法, 计算思维, 概率与统计, 统计推理, 应用机器学习, Machine Learning 方法
高级设置 · 课程 · 1-3 个月

University of Minnesota
您将获得的技能: 机器学习, 机器学习算法, Algorithm, 线性代数, 模型评估, 降维, 应用机器学习
混合 · 课程 · 1-3 个月

Johns Hopkins University
您将获得的技能: C++(编程语言), 系统编程, 数值分析, 机器学习, 数据处理, 卷积神经网络, 计算机图形学, 线性代数, 编程原则, 计算机结构, 深度学习, 分布式计算, 可扩展性, 数学软件, 面向数据的编程, 性能调整, 数字信号处理, 图像分析, 人工神经网络, C 和 C++
攻读学位
中级 · 专项课程 · 3-6 个月
University of Illinois Urbana-Champaign
您将获得的技能: Generative AI, Generative Adversarial Networks (GANs), Applied Machine Learning, Deep Learning, Responsible AI, Machine Learning Methods, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Convolutional Neural Networks, Regression Analysis, Classification Algorithms, Business Ethics, Governance
攻读学位
初级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Unit Testing, Docker (Software), Containerization, Kubernetes, AI Workflows, IBM Cloud, Microservices, Machine Learning, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Data Science, Python Programming
高级设置 · 课程 · 1-4 周