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    Results for "mechanical engineering"

    • Status: Free Trial
      Free Trial
      I

      IBM

      Project: Generative AI Applications with RAG and LangChain

      Skills you'll gain: Generative AI, Prompt Engineering, Large Language Modeling, Document Management, Natural Language Processing, Unstructured Data, Data Processing, User Interface (UI), Databases, Data Storage Technologies, Data Storage

      4.8
      Rating, 4.8 out of 5 stars
      ·
      65 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Introduction to Microsoft 365 Copilot

      Skills you'll gain: Microsoft Copilot, Prompt Engineering, Microsoft 365, Microsoft Outlook, Productivity Software, ChatGPT, Microsoft Word, Microsoft PowerPoint, Microsoft Excel, Artificial Intelligence, Generative AI, Identity and Access Management, Data Security

      4.6
      Rating, 4.6 out of 5 stars
      ·
      176 reviews

      Beginner · Course · 1 - 3 Months

    • U

      Universitat Autònoma de Barcelona

      Sistemas Digitales: De las puertas lógicas al procesador

      Skills you'll gain: Systems Design, Application Specific Integrated Circuits, Computational Logic, Computer Architecture, Digital Design, Computer Hardware, Hardware Architecture, Verification And Validation, Other Programming Languages

      4.7
      Rating, 4.7 out of 5 stars
      ·
      249 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Python Data Products for Predictive Analytics

      Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Data Processing, Data Manipulation, Applied Machine Learning, Interactive Data Visualization, Design Thinking, Advanced Analytics, Web Scraping, Machine Learning Algorithms, Flask (Web Framework), Data Visualization Software, Scikit Learn (Machine Learning Library), Application Deployment, Data Science, Data Validation, Verification And Validation, Django (Web Framework), Regression Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      245 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      É

      École normale supérieure

      Statistical Mechanics: Algorithms and Computations

      Skills you'll gain: Sampling (Statistics), Physics, Simulations, Statistical Programming, Computational Logic, Numerical Analysis, Markov Model, Mechanics, Quantitative Research, Algorithms, Programming Principles, Applied Mathematics, Linear Algebra, Integral Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      264 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad Austral

      Programación Orientada a Objetos con Python

      Skills you'll gain: Software Documentation, Object Oriented Design, Unified Modeling Language, Software Design, Test Driven Development (TDD), Unit Testing, Object Oriented Programming (OOP), Programming Principles, Software Testing, Software Quality (SQA/SQC), Software Development, Python Programming

      4.1
      Rating, 4.1 out of 5 stars
      ·
      272 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Amsterdam

      Big History - From the Big Bang until Today

      Skills you'll gain: World History, Ancient History, Cultural Diversity, Physical Science, Anthropology, Timelines, Social Sciences, Economics, Policy, and Social Studies, Environment, Environmental Science, Biology, Physics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      249 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      AI for Scientific Research

      Skills you'll gain: Feature Engineering, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Data Processing, Dimensionality Reduction, Data Cleansing, Keras (Neural Network Library), Machine Learning Algorithms, Data Transformation, NumPy, Classification And Regression Tree (CART), Tensorflow, Deep Learning, Predictive Modeling, Artificial Neural Networks

      3.2
      Rating, 3.2 out of 5 stars
      ·
      74 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      E

      EDUCBA

      .NET Core Mastery: Advanced Techniques for Exp Developers

      Skills you'll gain: Load Balancing, ASP.NET, Test Driven Development (TDD), Debugging, C# (Programming Language), Software Testing, Scalability, Performance Testing, Restful API, Unit Testing, Microservices, .NET Framework, Object-Relational Mapping, Software Architecture, Web Applications, User Accounts, Data Integrity, Object Oriented Design, Distributed Computing, Redis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      173 reviews

      Intermediate · Specialization · 3 - 6 Months

    • S

      Starweaver

      Stakeholder Management

      Skills you'll gain: Stakeholder Management, Stakeholder Engagement, Organizational Change, Conflict Management, Business Relationship Management, Relationship Management, Requirements Analysis, Change Management, Expectation Management, Communication Strategies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      83 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      HTML and CSS: Building a Single-Page Website

      Skills you'll gain: Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), HTML and CSS, Web Development, Web Applications, Web Design and Development, Web Design, Front-End Web Development

      4.5
      Rating, 4.5 out of 5 stars
      ·
      541 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      AI for Cybersecurity

      Skills you'll gain: Anomaly Detection, Generative AI, Intrusion Detection and Prevention, Malware Protection, Continuous Monitoring, Cybersecurity, Threat Detection, Cyber Threat Intelligence, Feature Engineering, Network Analysis, Cyber Attacks, Email Security, System Design and Implementation, Network Security, Artificial Intelligence and Machine Learning (AI/ML), Threat Modeling, Jupyter, Authentications, Deep Learning, Machine Learning Software

      4.4
      Rating, 4.4 out of 5 stars
      ·
      36 reviews

      Intermediate · Specialization · 3 - 6 Months

    Searches related to mechanical engineering

    introduction to engineering mechanics
    applications in engineering mechanics
    engineering, scientific, and technical instruments
    1…929394…278

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

    • Project: Generative AI Applications with RAG and LangChain: IBM
    • Introduction to Microsoft 365 Copilot: Microsoft
    • Sistemas Digitales: De las puertas lógicas al procesador: Universitat Autònoma de Barcelona
    • Python Data Products for Predictive Analytics: University of California San Diego
    • Statistical Mechanics: Algorithms and Computations: École normale supérieure
    • Programación Orientada a Objetos con Python: Universidad Austral
    • Big History - From the Big Bang until Today: University of Amsterdam
    • AI for Scientific Research: LearnQuest
    • .NET Core Mastery: Advanced Techniques for Exp Developers: EDUCBA
    • Stakeholder Management : Starweaver

    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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