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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

    • C

      Coursera Instructor Network

      Marketing Analytics: Data Predictions and Dashboards

      Skills you'll gain: Marketing Analytics, Dashboard, Predictive Modeling, Data-Driven Decision-Making, Data Storytelling, Marketing Strategies, Marketing, Data Visualization Software, Analytics, Customer Insights, Market Research, Data Analysis, Analytical Skills

      3.9
      Rating, 3.9 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      GenAI for Business Intelligence Analysts

      Skills you'll gain: Business Intelligence, Generative AI, Business Analytics, Business Process Automation, Data-Driven Decision-Making, Data Ethics, Data Storytelling, Advanced Analytics, Exploratory Data Analysis, Large Language Modeling, Data Governance, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      A

      Amazon Web Services

      Developing Machine Learning Solutions

      Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Cloud Management, Machine Learning, Applied Machine Learning, Cloud Development, Predictive Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      54 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Scrimba

      Learn Typescript

      Skills you'll gain: TypeScript, Debugging, Javascript, Unit Testing, Software Design Patterns, Programming Principles, Data Structures, Data Validation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      36 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Managing, Describing, and Analyzing Data

      Skills you'll gain: Statistical Inference, Probability Distribution, Statistical Analysis, Descriptive Statistics, Sampling (Statistics), Statistics, Probability & Statistics, Statistical Hypothesis Testing, R Programming, Data Analysis, Data Literacy, Probability, Statistical Visualization, Histogram

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      33 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Explainable AI: Scene Classification and GradCam Visualization

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, Image Analysis, Tensorflow, Computer Vision, Applied Machine Learning, Artificial Neural Networks, Data Processing, Interactive Data Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      57 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      Build Your Own iOS App

      Skills you'll gain: Apple iOS, Swift Programming, Mobile Development, Animations, Application Development, Computer Vision, Image Analysis, User Interface (UI) Design

      3.2
      Rating, 3.2 out of 5 stars
      ·
      70 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Use AI Builder and Power Apps to Process Invoice Data

      Skills you'll gain: Microsoft Power Platform, Business Process Automation, Microsoft 365, Invoicing, Automation, Artificial Intelligence, Document Management, Data Integration, Data Store

      4.5
      Rating, 4.5 out of 5 stars
      ·
      34 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, Data Cleansing, Data Processing, Data Synthesis, Data Transformation, Data Integrity, Data Validation, Personally Identifiable Information, Information Privacy

      3.7
      Rating, 3.7 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Adobe Illustrator for Beginners: Creative Brand System

      Skills you'll gain: Adobe Illustrator, Logo Design, Graphic Design, Adobe Creative Cloud, Graphic and Visual Design, Digital Design, Typography, Design Elements And Principles, File Management, Color Theory

      4.3
      Rating, 4.3 out of 5 stars
      ·
      8 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • P

      Packt

      Concurrent and Parallel Programming in Python

      Skills you'll gain: Performance Tuning, Python Programming, Distributed Computing, OS Process Management, Scalability, Web Scraping, Database Management

      3.5
      Rating, 3.5 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Data Visualization and Transformation with R

      Skills you'll gain: Version Control, Ggplot2, R Programming, GitHub, Data Visualization Software, Data Visualization, Statistical Methods, Git (Version Control System), Tidyverse (R Package), Exploratory Data Analysis, Data Analysis, Data Science, Data Transformation, Data-Driven Decision-Making, Statistical Programming, Statistical Analysis, Data Manipulation, Data Cleansing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Marketing Analytics: Data Predictions and Dashboards: Coursera Instructor Network
    • GenAI for Business Intelligence Analysts: Coursera Instructor Network
    • Developing Machine Learning Solutions: Amazon Web Services
    • Learn Typescript: Scrimba
    • Managing, Describing, and Analyzing Data: University of Colorado Boulder
    • Explainable AI: Scene Classification and GradCam Visualization : Coursera Project Network
    • Build Your Own iOS App: University of Toronto
    • Use AI Builder and Power Apps to Process Invoice Data: Coursera Project Network
    • Data Processing and Optimization with Generative AI: Microsoft
    • Adobe Illustrator for Beginners: Creative Brand System: Coursera Project Network

    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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