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    • Optimization

    Optimization Courses Online

    Master optimization techniques for improving system performance. Learn about linear programming, nonlinear optimization, and heuristic methods.

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    Explore the Optimization Course Catalog

    • Status: New
      New
      W

      Whizlabs

      NVIDIA: Fundamentals of Machine Learning

      Skills you'll gain: Unsupervised Learning, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Applied Machine Learning, Data Processing, Feature Engineering, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      M

      Microsoft

      Full-Stack Developer Capstone Project

      Skills you'll gain: ASP.NET, Restful API, Full-Stack Web Development, Performance Tuning, .NET Framework, Application Programming Interface (API), Cloud Development, Data Modeling, Development Environment, Cloud Applications, Software Development Tools, Object-Relational Mapping, Application Deployment, Web Development, Software Development, Cloud Infrastructure, Web Applications, UI Components, Back-End Web Development, Cloud Platforms

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      Leveraging Llama2 for Advanced AI Solutions

      Skills you'll gain: Large Language Modeling, Technical Management, Prompt Engineering, Generative AI, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Software Architecture, Performance Tuning, Development Environment

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of California, Santa Cruz

      GetVirtual: How to Launch Your Online Business

      Skills you'll gain: Business Communication, Entrepreneurship, Social Media Marketing, Search Engine Optimization, Web Design and Development, Marketing, Workflow Management, Business Planning, E-Commerce, Project Management, Branding, Customer Relationship Management

      3.9
      Rating, 3.9 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for Program Managers

      Skills you'll gain: Agile Software Development, Project Management Software, Program Management, Engineering Management, Generative AI, Technical Management, Project Planning, Project Risk Management, Predictive Modeling, Risk Management, Systems Development Life Cycle, Business Ethics

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      J

      Johns Hopkins University

      Introduction to Neural Networks

      Skills you'll gain: Artificial Neural Networks, Machine Learning Algorithms, Deep Learning, Computer Vision, Image Analysis, Machine Learning, Linear Algebra, Artificial Intelligence, Performance Tuning, Probability & Statistics

      Intermediate · Course · 1 - 3 Months

    • B

      Board Infinity

      Android Architecture/Multimedia Framework

      Skills you'll gain: Android (Operating System), Android Development, Mobile Development, Software Architecture, Linux, Performance Tuning, Application Programming Interface (API)

      3.2
      Rating, 3.2 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      AI in Workforce Management

      Skills you'll gain: Workforce Management, Human Resources Management and Planning, Human Resource Strategy, Human Resources, Workforce Planning, Performance Management, Employee Performance Management, Strategic Decision-Making, Operational Efficiency, Data-Driven Decision-Making, Decision Making, Business Strategy, Business Ethics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화

      Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Statistical Analysis, Analysis, Debugging, Machine Learning, Network Architecture, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for Marketing Teams

      Skills you'll gain: Generative AI Agents, Innovation, Marketing Management, Team Management, Team Building, Project Management, Prompt Engineering, Decision Making, Cross-Functional Collaboration, MarTech, Content Creation, Communication Strategies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Process Improvement and Problem Solving

      Skills you'll gain: Process Optimization, Process Improvement, Brainstorming, Continuous Improvement Process, Business Process Improvement, Root Cause Analysis, Creative Problem-Solving, Innovation, Operational Efficiency, Knowledge Transfer, Collaboration, Technology Strategies, Data Management

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Oracle Performance: Exadata, Enterprise Manager Mastery

      Skills you'll gain: Oracle Databases, Scalability, Oracle Cloud, Database Management, Performance Tuning, Database Management Systems, Database Architecture and Administration, System Monitoring

      Advanced · Course · 1 - 4 Weeks

    Optimization learners also search

    Mathematical Optimization
    Discrete Optimization
    Convex Optimization
    Performance Management
    Systems Engineering
    Computing
    A/B Testing
    Parallel Programming
    1…363738…57

    In summary, here are 10 of our most popular optimization courses

    • NVIDIA: Fundamentals of Machine Learning: Whizlabs
    • Full-Stack Developer Capstone Project: Microsoft
    • Leveraging Llama2 for Advanced AI Solutions: Coursera Instructor Network
    • GetVirtual: How to Launch Your Online Business: University of California, Santa Cruz
    • GenAI for Program Managers: Coursera Instructor Network
    • Introduction to Neural Networks: Johns Hopkins University
    • Android Architecture/Multimedia Framework: Board Infinity
    • AI in Workforce Management: Coursera Instructor Network
    • 심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화: DeepLearning.AI
    • GenAI for Marketing Teams: Coursera Instructor Network

    Skills you can learn in Algorithms

    Graphs (22)
    Mathematical Optimization (21)
    Computer Program (20)
    Data Structure (19)
    Problem Solving (19)
    Algebra (12)
    Computer Vision (10)
    Discrete Mathematics (10)
    Graph Theory (10)
    Image Processing (10)
    Linear Algebra (10)
    Reinforcement Learning (10)

    Frequently Asked Questions about Optimization

    Optimization is the act of selecting the best possible option to solve a mathematical problem when choosing from a set of variables. The concept of optimization has existed in mathematics for centuries, but in more recent times, scientists have discovered that other scientific disciplines have common elements, so the idea of optimization has carried over into other areas of study from engineering to economics to physics to biology. Optimization seeks to discover the maximum or minimum of a function to best solve a problem. It involves variables, constraints, and the objective function, or the goal that drives the solution to the problem. For example, in physics, an optimization problem might seek to discover the minimum amount of energy needed to achieve a certain objective. The advent of sophisticated computers has allowed mathematicians to achieve optimization more accurately across a wide range of functions and problems.‎

    Optimization helps data scientists and computer systems process data more effectively, estimate how many resources it will take to solve a problem, and search for the best solution based on the data available. These features make optimization a key tool that can help those who collect and analyze data. The methods of optimization work hand in hand with statistics and linear algebra to help you understand and process large amounts of data. Solving complex problems that rely on data becomes much easier when you apply the methods and formulas of optimization to them, which makes it essential for machine learning. In fact, today's computer science relies heavily on the relationship between machine learning and optimization. The principles of optimization apply in a different way in business, because nearly every business decision centers on maximizing or minimizing various factors and outcomes.‎

    When you study optimization with online courses on Coursera, you can gain a broad base of knowledge as well as applications that allow you to put what you learn into practice. Beginning courses include those in which you learn the basics of optimization, whereas more advanced courses go deeper into topics like stochastic processes, machine learning through specific applications, or how to estimate financial models.‎

    Online Optimization courses offer a convenient and flexible way to enhance your knowledge or learn new Optimization skills. Choose from a wide range of Optimization courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Optimization, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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