IBM 课程可以帮助您学习数据分析、云计算、人工智能和机器学习。您可以培养使用 Python 编程、利用 SQL 进行数据库管理以及为实际应用实施 AI 模型的技能。许多课程都会介绍用于 AI 开发的 IBM Watson、用于可扩展解决方案的 IBM Cloud 等工具,以及各种数据可视化软件,为利用技术解决复杂问题提供实践经验。

IBM
您将获得的技能: 数据转换, 数据质量, Data Management, 数据建模, Data Governance, 数据管理, 数据整合, Agile 方法论, 敏捷方法, 元数据管理, 数据管道
★ 4.7 (59) · 初级 · 课程 · 1-3 个月

IBM
您将获得的技能: 人工智能, 卷积神经网络, 生成式人工智能, Keras(神经网络库), 强化学习, 机器学习, 微调, 模型优化, 无监督学习, 人工神经网络, 迁移学习, 自动编码器, 递归神经网络 (RNN), 图像分析, 深度学习, 机器学习方法, 生成模型架构, 计算机视觉, 生成式对抗网络(GANs), 人工智能和机器学习(AI/ML), Transfer Learning
★ 4.6 (299) · 中级 · 课程 · 1-3 个月

您将获得的技能: Model Context Protocol, Responsible AI, LangGraph, AI Integrations, AI Workflows, AI Orchestration, Agentic Workflows, LangChain, Agentic systems, Generative AI Agents, CrewAI, OpenAI API, LLM Application, Tool Calling, OpenAI, Model Deployment, Compliance Management, Governance, AI Security, Artificial Intelligence and Machine Learning (AI/ML)
★ 2.2 (19) · 中级 · 专项课程 · 3-6 个月


Board Infinity
您将获得的技能: Prompt Engineering Tools, Prompt Patterns, Responsible AI, Generative Model Architectures, Google Gemini, AI literacy, LLM Application, Model Evaluation, Debugging
★ 4.7 (79) · 初级 · 课程 · 1-4 周

您将获得的技能: Design Thinking, Market Opportunities, Data Integration, Data Engineering, Data Science, Analytical Skills, Data Pipelines, Data Validation, Extract, Transform, Load, Data Processing, Workflow Management, Process Modeling, Data Cleansing, Data Quality, Data Collection, Business Priorities, NumPy, Machine Learning, Python Programming
★ 4.3 (189) · 中级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, Apache Spark, Data Pipelines, Cloud Deployment, Model Training, IBM Cloud, Applied Machine Learning, Machine Learning Methods, Model Optimization, Machine Learning Algorithms, Docker (Software), Machine Learning, Containerization, Data Science, Python Programming, Scalability, Design Thinking
★ 4.3 (62) · 高级设置 · 课程 · 1-4 周

您将获得的技能: Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Data Visualization Software, Dashboard Creation, Dashboard, Data Analysis, Data Science, Probability & Statistics, Statistical Methods, Statistical Analysis, Jupyter, Matplotlib, Data Preprocessing, Pandas (Python Package), Statistical Inference, Statistics, Python Programming, Machine Learning
★ 4.3 (128) · 高级设置 · 课程 · 1-4 周

您将获得的技能: 大数据, 数据预处理, 机器学习, 描述性统计, 数据科学, Apache Spark, Model Evaluation, 机器学习算法, 模型评估, 数据存储技术, 机器学习方法, 数据管道, 应用机器学习, 数据处理, 数据存储, PySpark, 统计机器学习
★ 3.8 (1252) · 中级 · 课程 · 1-4 周

IBM
您将获得的技能: Data Storytelling, Data Mining, Data Science, Data-Driven Decision-Making, Big Data, Digital Transformation, Analytics, Storytelling, Regression Analysis, Apache Hadoop, Machine Learning, Deep Learning, Cloud Computing
★ 4.5 (21) · 初级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Tensorflow, Model Training, Supervised Learning, Model Optimization, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, AI Workflows, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Data Science, Python Programming
★ 4.4 (92) · 高级设置 · 课程 · 1-4 周

University of London
您将获得的技能: Pandas (Python Package), NumPy, Probability & Statistics, Unsupervised Learning, Applied Machine Learning, Statistical Methods, Data Science, Statistics, Data Analysis, Statistical Analysis, Jupyter, Data Manipulation, Machine Learning Algorithms, Descriptive Statistics, Plot (Graphics), Data Processing, Data Visualization Software, Python Programming, Machine Learning
★ 4.5 (22) · 初级 · 课程 · 1-4 周