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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

    • P

      Packt

      Building Recommender Systems with Machine Learning and AI

      Skills you'll gain: Apache Spark, Deep Learning, Python Programming, Scalability, Applied Machine Learning, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Dimensionality Reduction, Feature Engineering, Performance Tuning

      Intermediate · Course · 3 - 6 Months

    • O

      O.P. Jindal Global University

      Microeconomics: Foundations and Insights

      Skills you'll gain: Economics, Game Theory, Economic Development, Market Dynamics, Socioeconomics, Behavioral Economics, Business Economics, Policy Analysis, Public Policies, Decision Making, Market Analysis, Consumer Behaviour, Supply And Demand, Analysis, Cost Benefit Analysis, Strategic Decision-Making, Competitive Analysis, Production Planning, Resource Allocation, Innovation

      Beginner · Course · 1 - 3 Months

    • U

      Università di Napoli Federico II

      Asset Pricing Models

      Skills you'll gain: Securities (Finance), Portfolio Management, Equities, Investments, Financial Market, Finance, Fixed Asset, Risk Modeling, Derivatives, Asset Management, Capital Markets, Statistical Methods, Financial Analysis, Return On Investment, Risk Analysis, Regression Analysis, Time Series Analysis and Forecasting, Estimation

      Intermediate · Course · 1 - 3 Months

    • B

      Board Infinity

      Java Multi-Threading Mastery: From Basics to Advanced

      Skills you'll gain: Java Programming, Java, OS Process Management, Performance Tuning, Operating Systems

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for Sales Operations Specialists

      Skills you'll gain: Sales Operations, Sales Process, Generative AI Agents, Sales Management, Sales Strategy, Sales, Business Ethics, Customer Relationship Management (CRM) Software, Prompt Engineering, Customer Relationship Management, Data-Driven Decision-Making

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      I

      IESE Business School

      Operations Management

      Skills you'll gain: Operations Management, Process Improvement, Process Design, Process Analysis, Business Process Improvement, Process Management, Business Operations, Operational Analysis, Organizational Strategy, Operational Efficiency, Inventory Management System, Business Process, Workflow Management, Strategic Decision-Making, Capacity Management, Prioritization

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for Back-End Web Developers

      Skills you'll gain: Database Management, Back-End Web Development, Generative AI, Performance Tuning, API Design, Application Programming Interface (API), Databases, Web Development, Server Side, Artificial Intelligence

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      ASP.NET Core MVC - Cross-Platform Development

      Skills you'll gain: ASP.NET, .NET Framework, Model View Controller, Version Control, Microsoft Visual Studio, GitHub, Microsoft Development Tools, Cross Platform Development, Development Environment, C# (Programming Language), Bootstrap (Front-End Framework), Object-Relational Mapping, Authentications, Database Development, Database Design, Database Management, Databases, Software Development Tools, Web Design and Development

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Tirer Parti des Listes Pour un Code Python Plus Simple

      Skills you'll gain: Python Programming, Algorithms, Data Structures, Data Mapping

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      Maximizing the Generative AI Value

      Skills you'll gain: Generative AI, Return On Investment, Data Ethics, Artificial Intelligence, Business Solutions, Business Process Automation, Operational Efficiency, Automation, Innovation, Business Strategies, Performance Measurement, Process Improvement, Business Ethics, Customer experience improvement, Product Design

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for AWS: AI-Driven Cloud Automation & Scaling

      Skills you'll gain: Cloud Computing Architecture, Generative AI, Amazon Web Services, Cloud Computing, Applied Machine Learning, Prompt Engineering, Cloud Security, Serverless Computing, Large Language Modeling, Automation, Artificial Intelligence, AWS Identity and Access Management (IAM), Performance Tuning, Scalability

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free
      Free
      M

      Maven Analytics

      Complete Visual Guide to Machine Learning

      Skills you'll gain: Unsupervised Learning, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Statistical Analysis, Data Science, Data Mining, Workflow Management, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Histogram, Data Quality, Anomaly Detection, Feature Engineering, Dimensionality Reduction, Quality Assurance, Random Forest Algorithm

      Beginner · Course · 1 - 3 Months

    Optimization learners also search

    Mathematical Optimization
    Discrete Optimization
    Convex Optimization
    Performance Management
    Systems Engineering
    Computing
    A/B Testing
    Parallel Programming
    1…424344…56

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

    • Building Recommender Systems with Machine Learning and AI: Packt
    • Microeconomics: Foundations and Insights: O.P. Jindal Global University
    • Asset Pricing Models: Università di Napoli Federico II
    • Java Multi-Threading Mastery: From Basics to Advanced: Board Infinity
    • GenAI for Sales Operations Specialists: Coursera Instructor Network
    • Operations Management: IESE Business School
    • GenAI for Back-End Web Developers: Coursera Instructor Network
    • ASP.NET Core MVC - Cross-Platform Development: Packt
    • Tirer Parti des Listes Pour un Code Python Plus Simple : Coursera Project Network
    • Maximizing the Generative AI Value: 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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