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  • Discrete Optimization

Discrete Optimization Courses

Discrete optimization courses can help you learn linear programming, integer programming, and combinatorial optimization techniques. You can build skills in problem formulation, algorithm design, and solution analysis. Many courses introduce tools such as MATLAB, Python libraries like PuLP and SciPy, and optimization software like CPLEX, showing how these skills are applied to logistics, resource allocation, and scheduling challenges.


Popular Discrete Optimization Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    AI for Design and Optimization

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, AI powered creativity, Generative AI, AI literacy, Artificial Intelligence, Model Optimization, AI Workflows, Machine Learning Methods, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    71 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    É

    École normale supérieure

    Approximation Algorithms Part II

    Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Operations Research, Graph Theory, Applied Mathematics, Model Optimization, Advanced Mathematics, Linear Algebra, Mathematical Modeling, Network Model, Probability, Probability & Statistics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    46 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    ML Parameters Optimization: GridSearch, Bayesian, Random

    Skills you'll gain: Model Optimization, Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Fine-tuning, Applied Machine Learning, Machine Learning, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Processing and Optimization with Generative AI

    Skills you'll gain: Data Ethics, Generative AI, Microsoft Copilot, Data Quality, Responsible AI, Generative Adversarial Networks (GANs), Data Preprocessing, Data Cleansing, Generative Model Architectures, Data Processing, Data Synthesis, Data Integrity, Feature Engineering, Information Privacy

    3.7
    Rating, 3.7 out of 5 stars
    ·
    29 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Optimize AI Prompts for Cost and Quality

    Skills you'll gain: Prompt Engineering, Token Optimization, Responsible AI, Context Engineering, Data Ethics, AI literacy, Model Optimization, Model Evaluation, Cost Management, Mitigation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    N

    National Taiwan University

    Operations Research (3): Theory

    Skills you'll gain: Operations Research, Network Model, Statistical Machine Learning, Case Studies, Applied Mathematics, Mathematical Modeling, Machine Learning, Model Optimization, Mathematical Theory & Analysis, Transportation Operations, Business Analytics, Advanced Mathematics, Linear Algebra, Resource Allocation, Classification Algorithms, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    96 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    A

    AI CERTs

    Network and Security Optimization in Telecommunication

    Skills you'll gain: Model Training, Anomaly Detection, Model Deployment, Generative AI Agents, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Predictive Modeling, Deep Learning, Artificial Intelligence, Telecommunications, Network Performance Management, Emerging Technologies, Responsible AI, Network Architecture, Wireless Networks, Computer Networking, Network Protocols, System Design and Implementation, Digital Communications, Communication

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Job Shop Scheduling Using MILP Optimization on RStudio

    Skills you'll gain: R Programming, Model Optimization, R (Software), Analysis, Mathematical Software, Data Analysis

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Delivery Problem

    Skills you'll gain: Combinatorics, Theoretical Computer Science, Algorithms, Graph Theory, Computational Thinking, Applied Mathematics, Python Programming, Program Development, Mathematical Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    376 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Choose Optimal Data Structures for ML

    Skills you'll gain: Data Structures, Feature Engineering, MLOps (Machine Learning Operations), Java Programming, Java, Performance Tuning, Data Processing, Applied Machine Learning, System Monitoring, Scalability, Performance Analysis, Memory Management, Benchmarking, Graph Theory, Program Implementation

    Advanced · Course · 1 - 4 Weeks

  • G

    Google Cloud

    GKE Workload Optimization

    Skills you'll gain: Kubernetes, Load Balancing, Cloud-Native Computing, Application Deployment, Google Cloud Platform, Containerization, Performance Stress Testing, DevOps, Performance Testing, Routing Protocols, Cloud Infrastructure

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Distributed Query Optimization and Security

    Skills you'll gain: Database Management, Database Development, Database Architecture and Administration, Apache Hadoop, Database Theory, Query Languages, Database Management Systems, Big Data, SQL, Data Access, Distributed Computing, Performance Tuning, Data Processing, Data Integrity, Authorization (Computing), Data Storage Technologies, File Systems, Algorithms

    Intermediate · Course · 1 - 4 Weeks

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

  • AI for Design and Optimization: University of Michigan
  • Approximation Algorithms Part II: École normale supérieure
  • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera
  • Data Processing and Optimization with Generative AI: Microsoft
  • Optimize AI Prompts for Cost and Quality: Coursera
  • Operations Research (3): Theory: National Taiwan University
  • Network and Security Optimization in Telecommunication: AI CERTs
  • Job Shop Scheduling Using MILP Optimization on RStudio: Coursera
  • Delivery Problem: University of California San Diego
  • Choose Optimal Data Structures for ML: Coursera

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