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  • Large Language Models

Large Language Models Courses

Large Language Models courses can help you learn natural language processing, text generation techniques, and model evaluation methods. You can build skills in fine-tuning models, understanding tokenization, and implementing ethical AI practices. Many courses introduce tools like TensorFlow and PyTorch, along with libraries such as Hugging Face Transformers, that support developing and deploying AI applications that leverage large language models.


Popular Large Language Models Courses and Certifications


  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Business Analytics with Excel: Elementary to Advanced

    Skills you'll gain: Risk Modeling, Operations Research, Regression Analysis, Microsoft Excel, Business Analytics, Business Modeling, Business Analysis, Resource Allocation, Analysis, Statistical Analysis, Process Optimization, Financial Analysis, Predictive Analytics, Transportation Operations, Linear Algebra

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    A

    Alberta Machine Intelligence Institute

    Introduction to Generative AI: Concepts and Techniques

    Skills you'll gain: Prompt Engineering, Generative AI, Prompt Patterns, Large Language Modeling, LLM Application, Open Source Technology, Responsible AI, Artificial Intelligence, Natural Language Processing, Artificial Neural Networks, Computer Architecture, Information Privacy, Application Programming Interface (API)

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Programming Foundations with JavaScript, HTML and CSS

    Skills you'll gain: User Interface (UI), Computational Thinking, HTML and CSS, Interactive Design, Web Development, Web Design, Javascript, Event-Driven Programming, Computer Programming, Algorithms, Image Analysis, Web Applications, Cascading Style Sheets (CSS)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Java Developer

    Skills you'll gain: Prompt Engineering, Software Development Life Cycle, Cloud-Native Computing, Software Architecture, Hibernate (Java), Database Design, Responsive Web Design, Docker (Software), Containerization, Git (Version Control System), GitHub, Object Oriented Programming (OOP), Microservices, CI/CD, Restful API, Java Programming, Engineering Software, Version Control, Database Management, Software Design

    4.6
    Rating, 4.6 out of 5 stars
    ·
    6.9K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Tricky English Grammar

    Skills you'll gain: Grammar, Vocabulary, English Language, Language Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.4K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science: Statistics and Machine Learning

    Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Presentation, Data Visualization, Feature Engineering, Statistical Analysis, Statistical Modeling, R Programming, Data Science, Machine Learning, GitHub

    4.4
    Rating, 4.4 out of 5 stars
    ·
    7.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Cloud Computing

    Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Security, Cloud Infrastructure, Cloud Platforms, Cloud Hosting, Cloud Engineering, Cloud Computing, Cloud Solutions, Cloud Development, Cloud Storage, Emerging Technologies, Cloud-Native Computing, Cloud Management, Hybrid Cloud Computing, IBM Cloud, Virtual Machines, Serverless Computing, Technical Services, DevOps

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.6K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Dimensionality Reduction, Random Forest Algorithm, Regression Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Applied DevOps Engineering

    Skills you'll gain: CI/CD, Open Web Application Security Project (OWASP), Continuous Integration, Istio, Agile Software Development, Application Deployment, Test Driven Development (TDD), Kubernetes, Gherkin (Scripting Language), Jenkins, Code Coverage, OpenShift, Cloud Applications, Agile Methodology, Behavior-Driven Development, Serverless Computing, DevOps, Secure Coding, Grafana, System Monitoring

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.8K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Business Intelligence (BI) Analysts

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Interactive Data Visualization, Business Intelligence, ChatGPT, Data Presentation, Infographics, Data Visualization, Dashboard, Data Storytelling, Data Visualization Software, AI Product Strategy, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Large Language Modeling, Deep Learning, SQL, Data Analysis, Image Quality

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Data Scientists

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Exploratory Data Analysis, Data Ethics, ChatGPT, Feature Engineering, Predictive Modeling, AI Product Strategy, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Data Synthesis, Data Analysis, Deep Learning, Data Visualization Software, Image Quality, Machine Learning, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    The Arduino Platform and C Programming

    Skills you'll gain: Embedded Software, Embedded Systems, Debugging, C (Programming Language), Electronic Components, Computer Hardware, Integrated Development Environments, Programming Principles, Computer Programming, Electronics Engineering, Program Development, Development Environment, Digital Communications, Open Source Technology

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.2K reviews

    Mixed · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular large language models courses

  • Business Analytics with Excel: Elementary to Advanced: Johns Hopkins University
  • Introduction to Generative AI: Concepts and Techniques: Alberta Machine Intelligence Institute
  • Programming Foundations with JavaScript, HTML and CSS: Duke University
  • IBM Java Developer: IBM
  • Tricky English Grammar: University of California, Irvine
  • Data Science: Statistics and Machine Learning: Johns Hopkins University
  • Introduction to Cloud Computing: IBM
  • Applied Machine Learning in Python: University of Michigan
  • IBM Applied DevOps Engineering: IBM
  • Generative AI for Business Intelligence (BI) Analysts: IBM

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