Deep Learning 课程可以帮助您学习神经网络、卷积网络和 Neural Network,以及它们在图像识别和自然语言处理中的应用。您可以掌握模型训练、超参数调整和性能评估方面的技能,这些技能对于开发有效的 AI 解决方案至关重要。许多课程都会介绍 TensorFlow 和 PyTorch 等工具,让您可以实现算法和优化模型,使您的学习体验与当前的行业实践密切相关。

您将获得的技能: Data Management, Microsoft Azure, Real Time Data, Metadata Management, Data Architecture, Event-Driven Programming, Personally Identifiable Information, Operational Databases, Identity and Access Management, Power BI, Data Modeling, Security Controls, Role-Based Access Control (RBAC), Database Architecture and Administration, Analytics, Azure Active Directory, System Monitoring, Enterprise Architecture, Taxonomy, Hybrid Cloud Computing
中级 · 课程 · 1-3 个月

您将获得的技能: Power BI, Microsoft Copilot, Cost Control, Data Lakes, Microsoft Azure, Data Architecture, Process Improvement and Optimization, Process Optimization, Performance Tuning, Real Time Data, Data Modeling, Data Pipelines, SQL, Natural Language Processing
中级 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: Model Deployment, Recurrent Neural Networks (RNNs), Tensorflow, Keras (Neural Network Library), Generative Model Architectures, Machine Learning Methods
高级设置 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Responsible AI, Generative AI, Large Language Modeling, Google Cloud Platform, Data Literacy, Unstructured Data, Data Ethics, Artificial Intelligence, AI Security, Business Intelligence, Machine Learning
初级 · 课程 · 1-4 周

您将获得的技能: Application Lifecycle Management, Power Platform CLI, CI/CD, Continuous Integration, Microsoft Power Platform, Continuous Delivery, Software Development Life Cycle, Application Deployment, Azure DevOps, Microsoft Azure, Configuration Management, Multi-Tenant Cloud Environments, Version Control, Data Import/Export, YAML, Data Science
初级 · 课程 · 3-6 个月

Illinois Institute of Technology
您将获得的技能: Database Design, Statistical Analysis, Time Series Analysis and Forecasting, Relational Databases, Database Systems, Data Analysis, Database Management, NoSQL, Database Theory, Databases, Database Development, SQL, Big Data, Model Evaluation, Apache Hadoop, Recurrent Neural Networks (RNNs), Database Management Systems, Bayesian Statistics, Statistical Inference, Technical Communication
获得学位
学位 · 1-4 年

Clemson University
您将获得的技能: Human Computer Interaction, Large Language Modeling, Dimensionality Reduction, Database Design, Database Management Systems, Generative AI, MySQL, Model Evaluation, Software Development Methodologies, Usability, Reinforcement Learning, Data Preprocessing, Data Mining, Data Structures, Responsible AI, Algorithms, Software Engineering, Artificial Intelligence, Human Machine Interfaces, AI Enablement
获得学位
学位 · 1-4 年

Google Cloud
您将获得的技能: Gemini, Artificial Intelligence and Machine Learning (AI/ML), Customer Insights, Applied Machine Learning, Customer Analysis, Generative AI, Data Integration, Predictive Analytics, Customer Data Management, Time Series Analysis and Forecasting, Marketing Strategies
初级 · 课程 · 1-4 周

您将获得的技能: Responsible AI, Data Analysis, Data Modeling, Model Evaluation, Artificial Intelligence, Data Visualization Software, Machine Learning, Technical Documentation
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Generative AI, Gemini, Google Cloud Platform, AI Product Strategy, AI Enablement, Responsible AI, Cloud Infrastructure, Artificial Intelligence, MLOps (Machine Learning Operations), Innovation
初级 · 课程 · 1-3 个月
University of North Texas
您将获得的技能: Operations Management, Mediation, Model Evaluation, Compensation and Benefits, Organizational Change, Event Management, Grammar, Sales Process, Data Visualization, Marketing Planning, Design Thinking, Public Policies, Global Marketing, Probability & Statistics, Social Studies, Cultural Diversity, Digital Media Strategy, Organizational Leadership, Music History, Sociology
获得学位
学位 · 1-4 年

您将获得的技能: Data Ethics, Responsible AI, Data Modeling, Model Evaluation, Artificial Intelligence, Applied Machine Learning, Machine Learning
中级 · 课程 · 1-4 周