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    Results for "mechanical engineering"

    • U

      University of Virginia

      How Things Work: An Introduction to Physics

      Skills you'll gain: Mechanics, Torque (Physics), Physics, Energy and Utilities, Experimentation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing with Classification and Vector Spaces

      Skills you'll gain: Natural Language Processing, Supervised Learning, Dimensionality Reduction, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence, Tensorflow, Linear Algebra, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.6K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Introduction to Discrete Mathematics for Computer Science

      Skills you'll gain: Graph Theory, Logical Reasoning, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Network Analysis, Public Key Cryptography Standards (PKCS), Algorithms, Theoretical Computer Science, Python Programming, Data Structures, Cybersecurity, Arithmetic, Computer Programming, Mathematical Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • H

      Hebrew University of Jerusalem

      Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)

      Skills you'll gain: Computer Architecture, Computer Hardware, Computational Logic, Computer Programming, System Design and Implementation, Technical Design, Software Design, Program Development, Debugging, Verification And Validation, Development Environment

      4.9
      Rating, 4.9 out of 5 stars
      ·
      3.7K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      A

      Amazon Web Services

      Essentials of Prompt Engineering

      Skills you'll gain: Prompt Engineering, ChatGPT, OpenAI, Generative AI, Large Language Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      271 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Materials Science for Advanced Technological Applications

      Skills you'll gain: Semiconductors, Basic Electrical Systems, Electronic Components, Mechanical Engineering, Electrical Engineering, Electronics, Process Engineering, Thermal Management, Structural Analysis, Chemical Engineering, Manufacturing Processes, Chemistry, Failure Analysis, Engineering Analysis, Process Control, Physical Science, Physics, Engineering Calculations

      4.5
      Rating, 4.5 out of 5 stars
      ·
      179 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Introduction and Applications

      Skills you'll gain: Generative AI, ChatGPT, OpenAI, Prompt Engineering, Large Language Modeling, Artificial Intelligence, Program Development, Content Creation, Image Analysis, Virtual Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Pontificia Universidad Católica de Chile

      Camino a la Excelencia en Gestión de Proyectos

      Skills you'll gain: Lean Methodologies, Lean Manufacturing, Process Improvement, Culture Transformation, Project Management, Process Mapping, Organizational Change, Continuous Improvement Process, Contract Management, Cross-Functional Collaboration

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science: Statistics and Machine Learning

      Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Statistical Hypothesis Testing, Predictive Modeling, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Data Visualization, Statistical Machine Learning, Feature Engineering, Statistical Analysis, Statistical Modeling, Probability, Data Science, Data Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Front-End Developer

      Skills you'll gain: GitHub, C# (Programming Language), Secure Coding, HTML and CSS, User Interface and User Experience (UI/UX) Design, Figma (Design Software), Open Web Application Security Project (OWASP), Git (Version Control System), Object Oriented Programming (OOP), Web Development, Web Design, Debugging, Mockups, Web Content Accessibility Guidelines, Microsoft Copilot, Adobe XD, Authentications, Front-End Web Development, Programming Principles, UI Components

      4.4
      Rating, 4.4 out of 5 stars
      ·
      91 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Michigan

      The Finite Element Method for Problems in Physics

      Skills you'll gain: Finite Element Methods, Differential Equations, Engineering Analysis, Numerical Analysis, Mathematical Modeling, Mathematical Theory & Analysis, Advanced Mathematics, Applied Mathematics, Linear Algebra, C++ (Programming Language), Calculus, Open Source Technology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      551 reviews

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI for Medicine

      Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Feature Engineering, Risk Modeling, Treatment Planning, Data Analysis, Precision Medicine, Decision Tree Learning, Predictive Modeling, Patient Treatment, Image Analysis, Machine Learning Methods, Applied Machine Learning, AI Personalization, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Medical Imaging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Specialization · 1 - 3 Months

    Searches related to mechanical engineering

    introduction to engineering mechanics
    applications in engineering mechanics
    engineering, scientific, and technical instruments
    1…232425…279

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

    • How Things Work: An Introduction to Physics: University of Virginia
    • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
    • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
    • Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course): Hebrew University of Jerusalem
    • Essentials of Prompt Engineering: Amazon Web Services
    • Materials Science for Advanced Technological Applications: Arizona State University
    • Generative AI: Introduction and Applications: IBM
    • Camino a la Excelencia en Gestión de Proyectos: Pontificia Universidad Católica de Chile
    • Data Science: Statistics and Machine Learning: Johns Hopkins University
    • Microsoft Front-End Developer: Microsoft

    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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