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    • Large Language Models

    Large Language Models (LLMs) Courses Online

    Study large language models for advanced natural language processing. Learn to build and apply models like GPT-3 for various NLP tasks.

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    Explore the Large Language Models (LLMs) Course Catalog

    • Status: Free Trial
      Free Trial
      P

      Packt

      Data Analysis with Pandas and Python

      Skills you'll gain: Pandas (Python Package), Data Import/Export, Matplotlib, Pivot Tables And Charts, Jupyter, Data Visualization Software, Microsoft Excel, Data Analysis, Text Mining, Data Manipulation, Data Cleansing, NumPy, Data Analysis Software, Data Integration, Data Wrangling, Time Series Analysis and Forecasting, Data Transformation, Python Programming, Data Structures, Integrated Development Environments

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23 reviews

      Intermediate · Specialization · 3 - 6 Months

    • G

      Genentech

      Hands On Clinical Reporting Using R

      Skills you'll gain: Clinical Data Management, Clinical Trials, Interactive Data Visualization, Pharmaceuticals, Data Modeling, R Programming, Technical Communication, Data Analysis Software, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Maryland, College Park

      Combining and Analyzing Complex Data

      Skills you'll gain: Statistical Analysis, Statistical Software, Data Integration, Data Ethics, Stata, R Programming, Sampling (Statistics), Statistical Modeling, Descriptive Statistics, Regression Analysis, Probability & Statistics, Information Privacy

      4.1
      Rating, 4.1 out of 5 stars
      ·
      63 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SAS

      Building a Large-Scale, Automated Forecasting System

      Skills you'll gain: SAS (Software), Forecasting, Time Series Analysis and Forecasting, Statistical Methods, Predictive Modeling, Automation, Anomaly Detection, Data Processing, Data Modeling, Data Transformation

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Java as a Second Language

      Skills you'll gain: Java Programming, Java, Application Servers, Web Applications, Development Environment, Object Oriented Programming (OOP), Application Development, Eclipse (Software), Computer Programming, Object Oriented Design, Mobile Development, UI Components, Program Development, User Interface (UI), Virtual Machines, Command-Line Interface, Software Installation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      193 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Leading Oneself with Self-Knowledge

      Skills you'll gain: Self-Awareness, Personal Development, Emotional Intelligence, Time Management, Decision Making, Cognitive flexibility, Productivity, Leadership, Critical Thinking, Psychology, Adaptability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      59 reviews

      Beginner · Course · 1 - 3 Months

    • U

      Universidade de São Paulo

      Redes Ecológicas

      Skills you'll gain: Network Analysis, Data Visualization, Graph Theory, Exploratory Data Analysis, Environmental Science, Data Analysis, Ggplot2, R Programming, Tidyverse (R Package), Data Processing

      5
      Rating, 5 out of 5 stars
      ·
      35 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Techniques for Teaching Adjectives and Adjective Clauses

      Skills you'll gain: Grammar, Language Competency

      4.4
      Rating, 4.4 out of 5 stars
      ·
      35 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      Intel

      An Introduction to Practical Deep Learning

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Image Analysis, Computer Vision, Machine Learning Methods, Generative AI, Applied Machine Learning, Natural Language Processing, Scalability, Artificial Intelligence, Reinforcement Learning, Performance Tuning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      149 reviews

      Intermediate · Course · 1 - 3 Months

    • É

      École Polytechnique Fédérale de Lausanne

      Effective Programming in Scala

      Skills you'll gain: Scala Programming, Data Validation, Object Oriented Programming (OOP), Build Tools, Debugging, Maintainability, Software Design Patterns, Development Environment, Unit Testing, Data Structures, Data Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      175 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      EDHEC Business School

      Python and Machine-Learning for Asset Management with Alternative Data Sets

      Skills you'll gain: Text Mining, Network Analysis, Data Visualization Software, Machine Learning Methods, Financial Data, Unstructured Data, Predictive Modeling, Web Scraping, Advanced Analytics, Financial Statements, Financial Market, Financial Analysis, Asset Management, Python Programming, Investment Management, Data Analysis, Risk Analysis, Consumer Behaviour

      4.4
      Rating, 4.4 out of 5 stars
      ·
      231 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Chat with Your Data: Generative AI-Powered SQL Data Analysis

      Skills you'll gain: SQL, Generative AI, Data Visualization, Data Storytelling, Data Analysis, Debugging, Data-Driven Decision-Making, Exploratory Data Analysis, ChatGPT, Prompt Engineering, Databases

      5
      Rating, 5 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Data Analysis with Pandas and Python: Packt
    • Hands On Clinical Reporting Using R: Genentech
    • Combining and Analyzing Complex Data: University of Maryland, College Park
    • Building a Large-Scale, Automated Forecasting System: SAS
    • Java as a Second Language: LearnQuest
    • Leading Oneself with Self-Knowledge: University of Colorado Boulder
    • Redes Ecológicas: Universidade de São Paulo
    • Techniques for Teaching Adjectives and Adjective Clauses: University of California, Irvine
    • An Introduction to Practical Deep Learning: Intel
    • Effective Programming in Scala: École Polytechnique Fédérale de Lausanne

    Frequently Asked Questions about Large Language Models

    Coursera’s courses on Large Language Models offer learners insights and skills related to cutting-edge AI technologies:

    • Fundamental concepts of natural language processing (NLP) and how LLMs are developed and utilized.
    • Techniques for training, fine-tuning, and deploying LLMs such as GPT (Generative Pre-trained Transformer).
    • Understanding the ethical considerations and societal impacts of LLMs.
    • Skills in integrating LLMs with various applications to enhance user interaction and automate tasks.
    • Best practices for managing data privacy and security when using LLMs.
    • Exploration of recent advancements and potential future developments in LLM technology.‎

    Courses on LLMs are accessible to learners with diverse backgrounds:

    • Beginners with an interest in AI and machine learning can start with introductory courses that provide a basic understanding of NLP and LLMs.
    • Those with some technical experience can enhance their knowledge with courses focused on specific aspects of LLM development and deployment.
    • Advanced learners can engage with complex topics related to the cutting-edge applications and ethical implications of LLMs.‎

    Upon completing LLM courses, learners can obtain credentials:

    • Professional certificates that indicate participation in courses focused on LLMs and their applications.
    • Specializations that cover technical, ethical, and practical aspects of LLMs, aimed at broadening understanding and application skills.
    • Certificates that learners may include in their portfolios to reflect their engagement with advanced AI concepts.‎

    Skills in LLMs can open up various career opportunities in the tech industry, particularly in roles focused on AI and machine learning:

    • AI Research Scientist, working on the development of new language models and NLP techniques.
    • Machine Learning Engineer, implementing and scaling LLMs for commercial or research applications.
    • Data Scientist, leveraging LLMs for data analysis and insight generation.
    • NLP Specialist, focusing on improving interaction between humans and computers through language.
    • Ethical AI Advocate, analyzing and addressing the societal impacts of AI technologies like LLMs.‎

    Looking to enhance your team's LLM skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our LLM training options and make a purchase, please visit our Coursera for Teams page.‎

    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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