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    Results for "mechanical engineering"

    • Status: New
      New
      G

      Google Cloud

      Google Cloud-Grundlagen: Kerninfrastruktur

      Skills you'll gain: Prompt Engineering, Google Cloud Platform, Cloud Infrastructure, Generative AI, Kubernetes, Identity and Access Management, Infrastructure As A Service (IaaS), Large Language Modeling, Cloud Storage, Cloud Applications, Containerization, Serverless Computing, Virtual Machines, Platform As A Service (PaaS), Scalability

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Gemini in Google Sheets - Português Brasileiro

      Skills you'll gain: Google Sheets, Google Workspace, Generative AI, Spreadsheet Software, Prompt Engineering, Data Management

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini in Google Docs - 한국어

      Skills you'll gain: Generative AI, Prompt Engineering, Google Workspace, Document Management, Technical Writing

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Google Cloud에서 Gemini 1.0 Pro와 애플리케이션 통합

      Skills you'll gain: Generative AI, Google Cloud Platform, Cloud API, Cloud Applications, Cloud-Based Integration, Application Development, Application Programming Interface (API), Prompt Engineering, Large Language Modeling, Development Testing

      Beginner · Course · 1 - 4 Weeks

    • W

      West Virginia University

      Master of Science in Software Engineering

      Skills you'll gain: Unified Modeling Language, Verification And Validation, Threat Modeling, Enterprise Architecture, Security Management, Secure Coding, Scope Management, Application Security, Financial Statements, Proposal Development, Cash Flows, Object Oriented Design, Requirements Analysis, Software Design, Security Requirements Analysis, Database Design, Software Visualization, Object Oriented Programming (OOP), Business Process Management, Mobile Development

      Earn a degree

      Degree · 1 - 4 Years

    • N

      Northeastern University

      Master of Science in Engineering Management

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • N

      Northeastern University

      Master of Science in Data Analytics Engineering

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • I

      Imperial College London

      Master of Science in Machine Learning and Data Science

      Skills you'll gain: Data Ethics, Supervised Learning, Exploratory Data Analysis, Unsupervised Learning, Student Support and Services, PySpark, Data Pipelines, Linear Algebra, Ggplot2, Dimensionality Reduction, Student Services, Data Processing, Big Data, Agentic systems, Graphing, A/B Testing, Unstructured Data, Deep Learning, Bayesian Statistics, Applied Machine Learning

      Earn a degree

      Degree · 1 - 4 Years

    • U

      Universidad de los Andes

      Maestría en Ingeniería de Software

      Skills you'll gain: Unified Modeling Language, Cloud-Native Computing, Test Automation, Process Analysis, Continuous Deployment, Angular, Android Jetpack, User Story, Dashboard, Game Design, API Design, Project Closure, Ideation, Internet Of Things, Microservices, Test Planning, Security Requirements Analysis, Usability, Cloud Applications, Sprint Planning

      Earn a degree

      Degree · 1 - 4 Years

    • U

      Universidad de los Andes

      Maestría en Inteligencia Analítica de Datos

      Skills you'll gain: Systems Thinking, Unsupervised Learning, Deep Learning, Network Analysis, Data Storytelling, Predictive Modeling, Data Visualization, Time Series Analysis and Forecasting, Marketing Analytics, MLOps (Machine Learning Operations), Financial Statement Analysis, Simulations, Data-Driven Decision-Making, Business Analysis, Descriptive Analytics, Exploratory Data Analysis, Analytics, Random Forest Algorithm, Operations Research, Stakeholder Engagement

      Earn a degree

      Degree · 1 - 4 Years

    • U

      Universidad de los Andes

      Maestría en Inteligencia Artificial

      Skills you'll gain: Real-Time Operating Systems, Supervised Learning, Unsupervised Learning, Cloud-Native Computing, Reinforcement Learning, Containerization, Natural Language Processing, Serverless Computing, Computer Vision, Microservices, MLOps (Machine Learning Operations), Artificial Intelligence, Generative AI, Probability & Statistics, Control Systems, Data Ethics, Machine Learning Methods, Technical Communication, Surgery, Chemical and Biomedical Engineering

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Colorado Boulder

      Master of Science in Artificial Intelligence

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    Searches related to mechanical engineering

    introduction to engineering mechanics
    applications in engineering mechanics
    engineering, scientific, and technical instruments
    1…281282283284

    In summary, here are 10 of our most popular mechanical engineering courses

    • Google Cloud-Grundlagen: Kerninfrastruktur: Google Cloud
    • Gemini in Google Sheets - Português Brasileiro: Google Cloud
    • Gemini in Google Docs - 한국어: Google Cloud
    • Google Cloud에서 Gemini 1.0 Pro와 애플리케이션 통합: Google Cloud
    • Master of Science in Software Engineering: West Virginia University
    • Master of Science in Engineering Management: Northeastern University
    • Master of Science in Data Analytics Engineering: Northeastern University
    • Master of Science in Machine Learning and Data Science: Imperial College London
    • Maestría en Ingeniería de Software: Universidad de los Andes
    • Maestría en Inteligencia Analítica de Datos: Universidad de los Andes

    Frequently Asked Questions about Mechanical Engineering

    Mechanical engineering courses on Coursera cover a broad array of topics essential to the discipline:

    • Basics of mechanics, including statics, dynamics, and strength of materials.
    • Principles of thermodynamics and heat transfer and their applications in various systems.
    • Design and analysis of mechanical systems and components, such as engines, machines, and tools.
    • Introduction to manufacturing processes and the technologies used in production.
    • Computer-aided design (CAD) and computer-aided engineering (CAE) techniques.
    • Fluid mechanics and its applications in hydraulic and pneumatic systems.
    • Concepts in advanced materials science and engineering properties of materials.‎

    Mechanical engineering courses on Coursera are designed to accommodate learners at different stages of their education and career:

    • Introductory courses provide a comprehensive overview for those new to the field, covering fundamental concepts and basic applications.
    • Intermediate courses are available for learners with some mechanical engineering background, focusing on more detailed aspects of the discipline.
    • Advanced courses cater to experienced learners who seek to deepen their expertise in specialized areas of mechanical engineering.‎

    Coursera offers a variety of educational credentials in partnership with accredited institutions:

    • Professional certificates that can help establish or enhance your skills in mechanical engineering.
    • Specialized course certificates that demonstrate proficiency in specific mechanical engineering topics.
    • Degree programs and advanced qualifications that can help prepare you for leadership roles or specialized positions in the field.

    These credentials are intended to support your career development by helping provide evidence of your knowledge and skills.‎

    Skills gained through mechanical engineering courses on Coursera can lead to diverse and dynamic career opportunities across industries:

    • Mechanical Engineer: Design, analyze, and manufacture new products and machinery.
    • Automotive Engineer: Develop new technologies and systems for automotive design and manufacturing.
    • Aerospace Engineer: Design and test aircraft, spacecraft, and missiles.
    • Robotics Engineer: Create robots and robotic systems that can perform tasks typically done by humans.
    • Project Engineer: Manage engineering projects from concept through completion, ensuring they meet technical standards and constraints.‎
    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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