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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
      Free
      D

      DeepLearning.AI

      Knowledge Graphs for RAG

      Skills you'll gain: Large Language Modeling, Query Languages, Data Storage Technologies, Data Storage, Semantic Web, Unstructured Data, Graph Theory, Text Mining

      4.7
      Rating, 4.7 out of 5 stars
      ·
      72 reviews

      Intermediate · Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Java Built in Data Structures

      Skills you'll gain: Java, Data Structures, Java Programming, Data Access, Data Cleansing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      20 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Preparing for the AZ-900 Microsoft Azure Fundamentals Exam

      Skills you'll gain: Microsoft Azure, Cloud Services, Cloud Platforms, Cloud Computing, Cloud Security, Network Security, Identity and Access Management

      5
      Rating, 5 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      M

      Maven Analytics

      Microsoft Copilot for Excel: AI-Powered Data Analysis

      Skills you'll gain: Microsoft Copilot, Microsoft Excel, Pivot Tables And Charts, Excel Formulas, People Analytics, Spreadsheet Software, Data Manipulation, Data Analysis, Human Resources Information System (HRIS), Data Presentation, ChatGPT, Artificial Intelligence, Generative AI

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Machine Learning for Supply Chains

      Skills you'll gain: Image Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Wrangling, Operations Research, NumPy, Demand Planning, Data Manipulation, Feature Engineering, Supervised Learning, Inventory Management System, Supply Chain, Applied Machine Learning, Inventory Management, Trend Analysis, Data Visualization, Data Transformation, Customer Demand Planning, Predictive Modeling, Anomaly Detection

      3.5
      Rating, 3.5 out of 5 stars
      ·
      77 reviews

      Intermediate · Specialization · 3 - 6 Months

    • E

      EIT Digital

      I/O-efficient algorithms

      Skills you'll gain: Data Structures, Theoretical Computer Science, Data Storage Technologies, Algorithms, Graph Theory, File Systems, Data Access, Performance Tuning, Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      60 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Advanced Data Visualization with R

      Skills you'll gain: Rmarkdown, Tidyverse (R Package), Ggplot2, Spatial Data Analysis, Data Visualization Software, Plot (Graphics), Statistical Visualization, Data Manipulation, Scatter Plots, Plotly, Interactive Data Visualization, R Programming, Data Mapping, Animations

      4.9
      Rating, 4.9 out of 5 stars
      ·
      79 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Akamai Technologies, Inc.

      Managing Relational Databases

      Skills you'll gain: SQL, Database Management, Relational Databases, Database Systems, Database Design, Database Theory, Data Manipulation, Query Languages, Data Management, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      24 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Politecnico di Milano

      Platform Thinking: Innovation in digital business models era

      Skills you'll gain: Data Strategy, Business Modeling, Data Ethics, Design Thinking, Innovation, Customer Data Management, Augmented and Virtual Reality (AR/VR), Market Opportunities, Data Governance, Systems Thinking, Technology Strategies, Data-Driven Decision-Making, Platform As A Service (PaaS), Product Development, Big Data, Customer Insights, Entrepreneurship, Virtual Environment, Strategic Thinking, Digital Transformation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      94 reviews

      Beginner · Specialization · 3 - 6 Months

    • P

      Peking University

      C#程序设计

      Skills you'll gain: C# (Programming Language), .NET Framework, Object Oriented Programming (OOP), Microsoft Visual Studio, Extensible Markup Language (XML), Computer Programming, Data Access, Database Management, User Interface (UI), UI Components, Event-Driven Programming, Network Model, Data Structures, Computer Graphics, Image Analysis, File Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      51 reviews

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM COBOL Basic Testing and Debugging

      Skills you'll gain: COBOL (Programming Language), Debugging, z/OS, Unit Testing, Test Driven Development (TDD), Software Testing, Mainframe Computing, Integrated Development Environments, File Management

      4.4
      Rating, 4.4 out of 5 stars
      ·
      117 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Dartmouth College

      Linux Basics: The Command Line Interface - 6

      Skills you'll gain: Command-Line Interface, Linux Commands, Linux, Embedded Software, Embedded Systems, Linux Servers, Computer Engineering, File Systems, Unix, Operating Systems, C (Programming Language), File Management, Computer Programming Tools, Performance Tuning, Open Source Technology, OS Process Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 3 Months

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

    • Knowledge Graphs for RAG: DeepLearning.AI
    • Java Built in Data Structures: Coursera Project Network
    • Preparing for the AZ-900 Microsoft Azure Fundamentals Exam: Microsoft
    • Microsoft Copilot for Excel: AI-Powered Data Analysis: Maven Analytics
    • Machine Learning for Supply Chains: LearnQuest
    • I/O-efficient algorithms: EIT Digital
    • Advanced Data Visualization with R: Johns Hopkins University
    • Managing Relational Databases: Akamai Technologies, Inc.
    • Platform Thinking: Innovation in digital business models era: Politecnico di Milano
    • C#程序设计: Peking University

    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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