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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


  • P

    Pearson

    Full-Stack React with Spring Boot: Unit 1

    Skills you'll gain: Frontend Integration, Full-Stack Web Development, IntelliJ IDEA, Spring Boot, Spring Framework, React.js, Restful API, Front-End Web Development, Back-End Web Development, Context Management, Web Applications, Application Frameworks, Development Environment, Command-Line Interface, Data Store

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Copenhagen

    Personalised Medicine from a Nordic Perspective

    Skills you'll gain: Precision Medicine, Patient-centered Care, Health Informatics, Healthcare Ethics, Patient Communication, Health Policy, Risk Analysis, Data-Driven Decision-Making, Medical Science and Research, Healthcare Industry Knowledge, Health Care, Health Technology, Health Systems, Clinical Research, Data Science, Clinical Research Ethics, Data Ethics, Bioinformatics, General Data Protection Regulation (GDPR), Innovation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    51 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    8 Most Controversial Terms in AI, Explained

    Skills you'll gain: Artificial Intelligence, AI literacy, Responsible AI, Generative AI, Open Source Technology, Large Language Modeling, Machine Learning, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    31 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Using Descriptive Statistics to Analyze Data in R

    Skills you'll gain: Descriptive Statistics, Statistical Programming, R Programming, R (Software), Statistical Reporting, Data Quality, Data Preprocessing, Data Cleansing, Statistics, Data Processing, Statistical Methods, Statistical Software, Data Analysis Software, Statistical Analysis, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    ·
    93 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • B

    Board Infinity

    Backend Development for .Net Full Stack

    Skills you'll gain: ASP.NET, Restful API, .NET Framework, Web Services, JSON, Application Frameworks, Model View Controller, Web Applications, Back-End Web Development, API Design, Application Programming Interface (API), Extensible Markup Language (XML), Full-Stack Web Development, Application Security, Object-Relational Mapping

    3.9
    Rating, 3.9 out of 5 stars
    ·
    44 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Snowflake for Beginners: Make your First Snowsight Dashboard

    Skills you'll gain: Dashboard, Dashboard Creation, Data Warehousing, Data Presentation, Relational Databases, Database Development, Data Access, Database Management, SQL, Query Languages, Data Management, Data Analysis, Data Analysis Software, Cloud Computing, Benchmarking, Market Share

    4.4
    Rating, 4.4 out of 5 stars
    ·
    56 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Codio

    Software Testing for Developers

    Skills you'll gain: Jest (JavaScript Testing Framework), User Acceptance Testing (UAT), Cucumber (Software), Postman API Platform, Software Testing, Behavior-Driven Development, Selenium (Software), Test Driven Development (TDD), Performance Stress Testing, API Testing, Unit Testing, Performance Testing, Application Programming Interface (API), User Interface (UI), Javascript

    4.2
    Rating, 4.2 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • L

    LearnKartS

    Introduction to AI and Machine Learning

    Skills you'll gain: AWS SageMaker, Data Preprocessing, Computer Vision, Machine Learning Methods, AI Workflows, Machine Learning Algorithms, Applied Machine Learning, Natural Language Processing, Machine Learning, Data Wrangling, Amazon Web Services, Reinforcement Learning, Deep Learning, Artificial Intelligence, Model Training, Amazon Elastic Compute Cloud, Model Deployment, Amazon S3, Serverless Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • M

    Meta

    Working with Data in iOS

    Skills you'll gain: Core Data (Software), Restful API, Apple iOS, iOS Development, JSON, Swift Programming, Application Programming Interface (API), Mobile Development, Application Development, Data Persistence, Data Modeling, Authentications

    4
    Rating, 4 out of 5 stars
    ·
    52 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Exception Handling in Python

    Skills you'll gain: Debugging, Scripting, Python Programming, Software Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    72 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of Pittsburgh

    Linear Algebra and Regression Fundamentals for Data Science

    Skills you'll gain: NumPy, Matplotlib, Plot (Graphics), Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Python Programming, Data Analysis, Data Science, Mathematical Software, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    Illinois Tech

    Advanced Statistical Techniques for Data Science

    Skills you'll gain: Machine Learning Algorithms, Model Evaluation, Statistical Analysis, Bayesian Statistics, Data Visualization, Statistical Inference, Exploratory Data Analysis, Statistical Methods, Data Presentation, Analysis, Probability & Statistics, Data Cleansing, Applied Machine Learning, Regression Analysis, Analytics, Statistical Programming, Data Analysis, Logistic Regression, R Programming, Verification And Validation

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    49 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Full-Stack React with Spring Boot: Unit 1: Pearson
  • Personalised Medicine from a Nordic Perspective: University of Copenhagen
  • 8 Most Controversial Terms in AI, Explained: Coursera
  • Using Descriptive Statistics to Analyze Data in R: Coursera
  • Backend Development for .Net Full Stack : Board Infinity
  • Snowflake for Beginners: Make your First Snowsight Dashboard: Coursera
  • Software Testing for Developers: Codio
  • Introduction to AI and Machine Learning: LearnKartS
  • Working with Data in iOS: Meta
  • Exception Handling in Python: Coursera

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