石油工程课程
石油工程课程可以帮助您学习钻井技术、储油层管理、生产优化和安全协议。您还可以掌握数据分析、项目管理和环境影响评估方面的技能。许多课程都会介绍模拟软件、地质建模程序和 Data Visualization 平台等工具，这些工具有助于分析地下条件和改进开采工艺。
热门石油工程课程和认证
您将获得的技能: React.js, ChatGPT, Cascading Style Sheets (CSS), Generative AI, Development Environment, Microsoft Visual Studio, Web Design and Development, Secure Coding, Node.JS, Prompt Engineering, Javascript, API Design, Debugging
状态：预览Google Cloud
您将获得的技能: Generative AI, Generative Model Architectures, Image Analysis, Model Deployment, Prompt Engineering, Physics, Engineering
状态：免费试用University of Illinois Urbana-Champaign
您将获得的技能: Product Development, New Product Development, Risk Management, Innovation, Healthcare Industry Knowledge, Industrial Design, Stakeholder Engagement, Health Systems, Requirements Elicitation, Market Opportunities, Market Analysis, Cost Benefit Analysis, Return On Investment, Health Technology, Project Management, Forecasting, Financial Analysis, Agile Methodology, Project Planning, Waterfall Methodology
Google Cloud
您将获得的技能: Generative AI, Google Gemini, Prompt Engineering Tools, Artificial Intelligence, Machine Learning
状态：新状态：预览Northeastern University
您将获得的技能: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Big Data, Artificial Neural Networks, Regression Analysis, Data Science, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Analytics, Predictive Modeling, Forecasting, Advanced Analytics, Deep Learning, Data Preprocessing
状态：预览您将获得的技能: Responsible AI, Generative AI, Microsoft Azure, Image Analysis, Computer Vision, OpenAI, Artificial Intelligence, Natural Language Processing, Machine Learning, Prompt Engineering, Data Ethics, Model Evaluation, Deep Learning, Data Science, Data Preprocessing
状态：预览Simplilearn
您将获得的技能: Autoencoders, Generative AI, Embeddings, Generative Model Architectures, Prompt Engineering, Image Analysis, Unsupervised Learning, PyTorch (Machine Learning Library), Transfer Learning
状态：预览您将获得的技能: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML), Cloud Infrastructure, AI Workflows, Big Data, Model Deployment, Machine Learning, Natural Language Processing
状态：新状态：免费试用您将获得的技能: Prompt Engineering, Multimodal Prompts, Prompt Patterns, Generative AI, Creativity, Image Analysis
您将获得的技能: Role-Based Access Control (RBAC), Kubernetes, Authorization (Computing), Identity and Access Management, User Accounts, Containerization, Development Environment, Cloud Engineering
状态：免费Princeton University
您将获得的技能: Blockchain, Cryptographic Protocols, Cryptography, FinTech, Application Security, Encryption, Payment Systems, Security Engineering, Network Protocols, Key Management, Digital Assets, Data Storage Technologies, Data Storage, Transaction Processing, Distributed Computing, Scripting, Financial Regulation, Market Dynamics
状态：新状态：免费试用您将获得的技能: JUnit, Spring Framework, Spring Boot, Java, Apache Maven, Hibernate (Java), Unit Testing, Gradle, Microservices, Object-Relational Mapping, Software Testing, Testability, Restful API
总之，以下是 10 最受欢迎的 petroleum engineering 课程
- Building a ChatGPT AI with JavaScript - A Code-Along Guide: Packt
- Introduction to Image Generation - 繁體中文: Google Cloud
- Understanding the Healthcare Innovation Process I: University of Illinois Urbana-Champaign
- Introduction to Generative AI - Deutsch: Google Cloud
- Machine Learning and Data Analytics Part 2: Northeastern University
- Exam Prep AI-900: Microsoft Certified Azure AI Fundamentals: Whizlabs
- Image Generation with AI Training Course: Simplilearn
- Introduction to AI and Machine Learning on GC - 日本語版: Google Cloud
- Midjourney Advanced Prompt Guide: Master AI Art Prompts: Skillshare
- Using Role-based Access Control in Kubernetes Engine: Google Cloud
