人工智能初级课程
人工智能（AI）课程可以帮助您学习机器学习算法、自然语言处理和计算机视觉技术。您可以培养数据分析、模型 Evaluation 以及人工智能应用中的伦理考虑等方面的技能。许多课程介绍了 TensorFlow、PyTorch 和 Scikit-learn 等工具，这些工具支持实施人工智能项目和有效分析数据。
热门人工智能初级课程和认证
Politecnico di Milano
您将获得的技能: 机器学习, 人工智能, 无监督学习, 负责任的人工智能, 法律技术, 强化学习, 监督学习, 人工智能赋能, 社会学, 一般数据保护条例》（GDPR）, 个人身份信息, 分类学, 知识产权, 机器学习方法, 机器学习算法, 降维, 云平台, 社会影响, 人工智能安全, 法律风险
您将获得的技能: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Transfer Learning, NumPy, Matplotlib, Convolutional Neural Networks, Statistical Methods, Deep Learning, Applied Machine Learning, Data Visualization, Keras (Neural Network Library), Python Programming, Pandas (Python Package), Seaborn, Applied Mathematics, Machine Learning, Machine Learning Algorithms, Tensorflow
IBM
您将获得的技能: 生成式人工智能, 风险缓解, 自然语言处理, 负责任的人工智能, 机器人, 业务逻辑
您将获得的技能: Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Data-Driven Decision-Making
您将获得的技能: AI Workflows, Artificial Intelligence
您将获得的技能: Matplotlib, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), NumPy, Pandas (Python Package), Model Evaluation, AI Workflows, Data Preprocessing, Deep Learning, Responsible AI, AWS SageMaker, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Data Manipulation, Data Ethics, Applied Machine Learning, Data-Driven Decision-Making, Python Programming, AWS CloudFormation
是什么让您今天来到 Coursera？
您将获得的技能: Healthcare 5.0, Health Insurance Portability And Accountability Act (HIPAA) Compliance, Artificial Intelligence, AI Enablement, Jupyter, Healthcare Ethics, Health Informatics, Healthcare Industry Knowledge, LLM Application, Machine Learning, Deep Learning, Machine Learning Software, MLOps (Machine Learning Operations), Generative Model Architectures, Statistical Machine Learning, AI Product Strategy, Predictive Modeling, Data-Driven Decision-Making, Data Processing, Data Analysis
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, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Artificial Neural Networks, Convolutional Neural Networks, Regression Analysis, Law, Regulation, and Compliance, Classification Algorithms, Business Ethics, Governance
Amazon Web Services
您将获得的技能: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, AI Enablement, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, Machine Learning, Digital Transformation
Google
您将获得的技能: Responsible AI, AI Enablement, Google Gemini, Artificial Intelligence, AI Workflows, AI Personalization, Generative AI, Google Workspace
University of Pennsylvania
您将获得的技能: Agentic systems, Artificial Intelligence, Algorithms, Python Programming, Theoretical Computer Science, Liberal Arts
您将获得的技能: Unsupervised Learning, Seaborn, Matplotlib, Predictive Modeling, Data Preprocessing, Supervised Learning, NumPy, Model Evaluation, Applied Machine Learning, Predictive Analytics, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Scatter Plots, Data Visualization Software, Python Programming, Data Science, Machine Learning, Data Analysis
总之，以下是 10 最受欢迎的 beginner artificial intelligence 课程
- 人工智能：概述: Politecnico di Milano
- AI Engineering Masterclass: From Zero to AI Hero: Packt
- 人工智能（AI）简介: IBM
- Understand and Apply Artificial Intelligence Fundamentals: EDUCBA
- Apply Artificial Intelligence Using Python for Beginners: EDUCBA
- Apply AI Foundations with Python and AWS: EDUCBA
- Artificial Intelligence for Healthcare: SkillUp
- Introduction to Artificial Intelligence: University of Illinois Urbana-Champaign
- Fundamentals of Machine Learning and Artificial Intelligence: Amazon Web Services
- AI Fundamentals: Google
