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  • Convex Optimization

Convex Optimization Courses

Convex optimization courses can help you learn linear programming, duality theory, and gradient descent methods. You can build skills in formulating optimization problems, analyzing convex sets, and applying algorithms to practical work. Many courses introduce tools like MATLAB, Python libraries, and optimization software, that support implementing solutions in fields such as machine learning, artificial intelligence, and operations research.


Popular Convex Optimization Courses and Certifications


  • Status: New
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    National Taiwan University

    Operations Research

    Skills you'll gain: Operations Research, Mathematical Modeling, Process Optimization, Report Writing, Applied Mathematics, Network Model, Process Improvement and Optimization, Business Modeling, Industrial Engineering, Linear Algebra, Numerical Analysis, Operations Management, Applied Machine Learning, Resource Allocation, Case Studies, Engineering Calculations, Algorithms, Feasibility Studies, Project Design, Business Analytics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    720 reviews

    Beginner · Specialization · 3 - 6 Months

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    National Taiwan University

    Operations Research (1): Models and Applications

    Skills you'll gain: Operations Research, Mathematical Modeling, Process Optimization, Applied Mathematics, Process Improvement and Optimization, Business Modeling, Industrial Engineering, Operations Management, Resource Allocation, Business Analytics, Inventory Management System, Case Studies, Microsoft Excel, Scheduling, Linear Algebra, Decision Making, Portfolio Management, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
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    576 reviews

    Beginner · Course · 1 - 3 Months

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    National Taiwan University

    Operations Research (2): Optimization Algorithms

    Skills you'll gain: Operations Research, Linear Algebra, Numerical Analysis, Applied Mathematics, Algorithms, Process Optimization, Engineering Calculations, Program Implementation, Computational Thinking, Operational Analysis, Mathematical Modeling, Resource Allocation, Decision Making, Facility Management, Calculus, Business Analytics

    4.9
    Rating, 4.9 out of 5 stars
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    158 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Portfolio Optimization using Markowitz Model

    Skills you'll gain: Portfolio Management, Portfolio Risk, Financial Modeling, Correlation Analysis, Investment Management, Financial Analysis, Risk Modeling

    4.4
    Rating, 4.4 out of 5 stars
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    328 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    U

    University of Michigan

    AI for Design and Optimization

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Generative AI, Artificial Intelligence, Technical Design, Machine Learning, Data-Driven Decision-Making, Deep Learning, Applied Machine Learning, Algorithms

    4.3
    Rating, 4.3 out of 5 stars
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    66 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Johns Hopkins University

    Calculus through Data & Modeling: Applying Differentiation

    Skills you'll gain: Applied Mathematics, Estimation, Numerical Analysis, Calculus, Engineering Calculations, Mathematical Modeling, Operations Research, Derivatives, Algebra

    4.7
    Rating, 4.7 out of 5 stars
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    59 reviews

    Intermediate · Course · 1 - 3 Months

What brings you to Coursera today?

  • Status: New
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    Coursera

    LLM Optimization & Evaluation

    Skills you'll gain: Apache Airflow, MLOps (Machine Learning Operations), User Acceptance Testing (UAT), Prompt Patterns, LLM Application, AI Security, Extract, Transform, Load, Scripting, Technical Communication, SQL, Data Pipelines, PyTorch (Machine Learning Library), Miro AI, Data Presentation, Large Language Modeling, Python Programming, Performance Tuning, Root Cause Analysis, Statistical Analysis, Version Control

    Intermediate · Specialization · 3 - 6 Months

  • Next level skills. New Year savings.

    Save on Coursera Plus
  • Status: Free
    Free
    T

    The Chinese University of Hong Kong

    Basic Modeling for Discrete Optimization

    Skills you'll gain: Mathematical Modeling, Problem Solving, Enterprise Modeling, Graph Theory, Decision Support Systems, Computational Thinking, Data Modeling, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
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    455 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    Coursera

    Optimize AI Inference Speed & Accuracy

    Skills you'll gain: Model Deployment, Benchmarking, Process Optimization, Cloud Deployment, Model Evaluation, Network Performance Management, Convolutional Neural Networks, Keras (Neural Network Library), Network Model, Project Performance

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Virginia

    Pricing Strategy Optimization

    Skills you'll gain: Price Negotiation, Market Dynamics, Product Lifecycle Management, Revenue Management, Competitive Analysis, Target Market, Global Marketing, Market Share, Consumer Behaviour, Business Strategy, Product Strategy, Marketing Psychology, Marketing, Cost Accounting, Customer Insights, Customer Analysis, Value Propositions, Strategic Marketing, Economics, Presentations

    4.8
    Rating, 4.8 out of 5 stars
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    929 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    University of Pittsburgh

    Mathematical Foundations for Data Science and Analytics

    Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

    Build toward a degree

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Optimization for Decision Making

    Skills you'll gain: Operations Research, Mathematical Modeling, Business Modeling, Business Analytics, Analytics, Data Modeling, Business Mathematics, Process Optimization, Data-Driven Decision-Making, Microsoft Excel, Decision Making, Linear Algebra, Spreadsheet Software, Graphing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    89 reviews

    Beginner · Course · 1 - 4 Weeks

What brings you to Coursera today?

1234…96

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

  • Operations Research: National Taiwan University
  • Operations Research (1): Models and Applications: National Taiwan University
  • Operations Research (2): Optimization Algorithms: National Taiwan University
  • Portfolio Optimization using Markowitz Model: Coursera
  • AI for Design and Optimization: University of Michigan
  • Calculus through Data & Modeling: Applying Differentiation: Johns Hopkins University
  • LLM Optimization & Evaluation: Coursera
  • Basic Modeling for Discrete Optimization: The Chinese University of Hong Kong
  • Optimize AI Inference Speed & Accuracy: Coursera
  • Pricing Strategy Optimization: University of Virginia

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 Convex Optimization

Convex optimization is a subfield of mathematical optimization that deals with problems where the objective function is convex, meaning that any line segment connecting two points on the graph of the function lies above the graph itself. This property ensures that any local minimum is also a global minimum, making convex optimization problems easier to solve compared to non-convex ones. Its importance spans various fields, including economics, engineering, machine learning, and operations research, as it provides efficient algorithms for finding optimal solutions in these domains.‎

Careers in convex optimization can be diverse and rewarding. Positions often include roles such as data scientist, operations researcher, quantitative analyst, and machine learning engineer. These jobs typically require strong analytical skills and the ability to apply optimization techniques to solve complex problems. Industries such as finance, technology, and logistics frequently seek professionals with expertise in convex optimization to enhance decision-making processes and improve operational efficiency.‎

To effectively learn convex optimization, you should focus on developing a solid foundation in linear algebra, calculus, and mathematical modeling. Familiarity with programming languages such as Python or MATLAB can also be beneficial, as they are commonly used for implementing optimization algorithms. Additionally, understanding algorithms and data structures will enhance your ability to tackle optimization problems efficiently.‎

There are several excellent online courses available for learning convex optimization. Look for programs that cover both theoretical concepts and practical applications. Courses like Advanced Modeling for Discrete Optimization and AI for Design and Optimization can provide valuable insights and hands-on experience in this field.‎

Yes. You can start learning convex optimization on Coursera for free in two ways:

  1. Preview the first module of many convex optimization courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in convex optimization, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn convex optimization, start by enrolling in introductory courses that cover the basics of optimization theory and methods. Engage with practical exercises and projects to apply what you learn. Utilize online resources, such as forums and study groups, to enhance your understanding and connect with others on a similar learning path.‎

Typical topics covered in convex optimization courses include convex sets, convex functions, duality, optimality conditions, and various algorithms for solving convex problems. You may also explore applications in machine learning, signal processing, and resource allocation, providing a comprehensive understanding of how convex optimization is applied in real-world scenarios.‎

For training and upskilling employees in convex optimization, consider courses that emphasize practical applications and real-world problem-solving. Programs like Data Processing and Optimization with Generative AI can be particularly beneficial, as they combine optimization techniques with cutting-edge technology, preparing employees to tackle modern challenges in their fields.‎

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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