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  • Mathematical Optimization

Mathematical Optimization Courses

Mathematical optimization courses can help you learn linear programming, integer programming, and nonlinear optimization techniques. You can build skills in formulating optimization problems, analyzing constraints, and applying algorithms to find optimal solutions. Many courses introduce tools like Python, R, and MATLAB, which are used to implement optimization models and analyze data effectively.

Popular Mathematical Optimization Courses and Certifications


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    G

    Georgia Institute of Technology

    Mechanics of Materials I: Fundamentals of Stress & Strain and Axial Loading

    Skills you'll gain: Structural Analysis, Structural Engineering, Mechanical Engineering, Failure Analysis, Engineering Analysis, Mechanics, Materials science, Engineering, Engineering Calculations, Mathematical Modeling, Safety Assurance, Laboratory Testing, Trigonometry

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.5K reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
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    Packt

    Modern Deep Learning Foundations

    Skills you'll gain: Model Deployment, Deep Learning, Model Optimization, Model Training, Convolutional Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Computer Vision, Recurrent Neural Networks (RNNs), Model Evaluation, Artificial Neural Networks, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    E

    EDUCBA

    MS Project for Planning and Performance Analysis

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    P

    Packt

    Master Lean Six Sigma & AI-Driven Quality for Professionals

    Skills you'll gain: Prompt Engineering, Lean Six Sigma, Six Sigma Methodology, Process Improvement and Optimization, Risk Management, Risk Management Framework, Regression Analysis, Risk Modeling, Risk Analysis, Statistics, Statistical Methods, Process Improvement, Process Analysis, Probability & Statistics, Continuous Improvement Process, Statistical Process Controls, Pareto Chart, Service Improvement, Business Process Automation, Quality Improvement

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Algebra: Elementary to Advanced

    Skills you'll gain: Algebra, Mathematical Modeling, Graphing, Arithmetic, Advanced Mathematics, Applied Mathematics, Deductive Reasoning, Analytical Skills, Probability & Statistics, Geometry

    4.8
    Rating, 4.8 out of 5 stars
    ·
    816 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    M

    Microsoft

    Microsoft AI & ML Engineering

    Skills you'll gain: Fine-tuning, Unsupervised Learning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Generative Model Architectures, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Data Infrastructure, Data Preprocessing, Model Optimization

    4.5
    Rating, 4.5 out of 5 stars
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    371 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Preview
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    U

    Universidad Austral

    Excel aplicado a los negocios (Nivel Avanzado)

    Skills you'll gain: Excel Macros, Microsoft Excel, Excel Formulas, Spreadsheet Software, Operations Research, Analysis, Data Validation, Business Analysis, Business Analytics, Data Import/Export, Resource Utilization, Process Optimization, Data Sharing, Trend Analysis, Data Integration, Automation

    4.8
    Rating, 4.8 out of 5 stars
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    3.1K reviews

    Intermediate · Course · 1 - 3 Months

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    J

    John Wiley & Sons

    Data Processing, Machine Learning, and Model Evaluation

    Skills you'll gain: Data Preprocessing, Model Evaluation, Data Processing, Model Deployment, Data Transformation, MLOps (Machine Learning Operations), Unsupervised Learning, Data Cleansing, Predictive Modeling, Model Training, Data Science, Data Analysis, Applied Machine Learning, Model Optimization, Technical Communication, Supervised Learning, Machine Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
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    P

    Packt

    Deep Reinforcement Learning Hands-On

    Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Deep Learning, Model Optimization, Large Language Modeling, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Fine-tuning, Model Training, Agentic systems, Machine Learning Algorithms, Machine Learning, Python Programming, Applied Machine Learning, Natural Language Processing, Performance Tuning, Algorithms, Model Evaluation, Data Analysis

    Intermediate · Specialization · 3 - 6 Months

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    C

    Coursera

    Vector Databases for Machine Learning: A Comprehensive Guide

    Skills you'll gain: Vector Databases, Retrieval-Augmented Generation, Embeddings, Performance Tuning, Applied Machine Learning, LangChain, Document Management, Docker (Software), Agentic systems, Generative AI, Generative Model Architectures, Model Deployment, LLM Application, Technical Communication, Multimodal Prompts, Search Engine Optimization, Metadata Management, Data Pipelines, Machine Learning, Data Migration

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning Operations (MLOps) on Google Cloud

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Model Deployment, AI Orchestration, AI Workflows, Generative AI, Google Cloud Platform, Data Modeling, Continuous Monitoring, Data Pipelines, Model Training, Feature Engineering, Model Optimization, DevOps, Agentic Workflows, Generative AI Agents, Data Store, Continuous Deployment, Data Preprocessing, Forecasting

    4
    Rating, 4 out of 5 stars
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    500 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of London

    Introduction to Computer Science and Programming

    Skills you'll gain: Computer Science, Debugging, Development Environment, Computer Systems, Web Applications, Arithmetic, Computer Literacy, General Networking, Javascript, Network Security, Computer Networking, Application Security, Computational Thinking, Visualization (Computer Graphics), Program Development, Applied Mathematics, Computer Programming, General Mathematics, Numerical Analysis, Problem Solving

    Build toward a degree

    4.2
    Rating, 4.2 out of 5 stars
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    1.6K reviews

    Beginner · Specialization · 1 - 3 Months

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

  • Mechanics of Materials I: Fundamentals of Stress & Strain and Axial Loading: Georgia Institute of Technology
  • Modern Deep Learning Foundations: Packt
  • MS Project for Planning and Performance Analysis: EDUCBA
  • Master Lean Six Sigma & AI-Driven Quality for Professionals: Packt
  • Algebra: Elementary to Advanced: Johns Hopkins University
  • Microsoft AI & ML Engineering: Microsoft
  • Excel aplicado a los negocios (Nivel Avanzado): Universidad Austral
  • Data Processing, Machine Learning, and Model Evaluation: John Wiley & Sons
  • Deep Reinforcement Learning Hands-On: Packt
  • Vector Databases for Machine Learning: A Comprehensive Guide: Coursera

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