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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: New
      New
      G

      Google Cloud

      運用 BigQuery 建立嵌入項目、向量搜尋和 RAG

      Skills you'll gain: Generative AI, Big Data, Applied Machine Learning, Query Languages, Natural Language Processing

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Relational Database Design and Advanced Querying

      Skills you'll gain: Database Design, Data Warehousing, Star Schema, Microsoft SQL Servers, Relational Databases, SQL, Query Languages, Database Architecture and Administration, Data Modeling, Transact-SQL, Data Integrity, Business Intelligence, Generative AI, Data Visualization Software

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      在 Google Cloud 運用生成式 AI 翻新網站

      Skills you'll gain: Generative AI, Web Content, Google Cloud Platform, Prompt Engineering, Web Analytics and SEO, Image Analysis, Content Management, Large Language Modeling, User Experience Design, Innovation

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      在 Google Cloud 上创建生成式 AI 应用

      Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, Google Cloud Platform, Cloud Applications, Cloud Computing Architecture, Prototyping

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Google Cloud에서 생성형 AI 앱 만들기

      Skills you'll gain: Prompt Engineering, Generative AI, Cloud Applications, Large Language Modeling, Google Cloud Platform, Cloud Development

      Intermediate · Course · 1 - 3 Months

    • U

      University of London

      Master of Science in Cyber Security

      Skills you'll gain: Security Management, Human Factors (Security), Infrastructure Security, Information Privacy, Key Management, Cyber Governance, Application Security, Network Security, Threat Modeling, OSI Models, Security Testing, Computer Security Incident Management, Cyber Security Policies, Intrusion Detection and Prevention, Cryptography, ISO/IEC 27001, Penetration Testing, Malware Protection, Data Literacy, Data Collection

      Earn a degree

      Degree · 1 - 4 Years

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Advanced Data Applications and Integration

      Skills you'll gain:

      Beginner · Course

    • Status: New
      New
      C

      Coursera Instructor Network

      Results-Driven Leadership for High-Performing Teams

      Skills you'll gain: Team Motivation, Motivational Skills, Accountability, Organizational Leadership, Drive Engagement, Team Leadership, Dealing With Ambiguity, Leadership, Leadership and Management, Leadership Development, Strategic Leadership, Team Management, Business Leadership, Organizational Strategy, Stress Management, Innovation, Self-Awareness, Resilience, Communication Strategies

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Cloud Spanner について

      Skills you'll gain: Relational Databases, Database Administration, Databases, Google Cloud Platform, Database Management, Database Architecture and Administration, SQL, Cloud Applications, Database Design, Dataflow, Application Performance Management, Data Migration

      Intermediate · Course · 1 - 3 Months

    • I

      Imperial College London

      Master of Science in Machine Learning and Data Science

      Skills you'll gain: Data Ethics, Supervised Learning, Exploratory Data Analysis, Unsupervised Learning, Student Support and Services, PySpark, Data Pipelines, Linear Algebra, Ggplot2, Dimensionality Reduction, Student Services, Data Processing, Big Data, Agentic systems, Graphing, A/B Testing, Unstructured Data, Deep Learning, Bayesian Statistics, Applied Machine Learning

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      G

      Google Cloud

      使用 BigQuery 机器学习推理功能

      Skills you'll gain: Big Data, Data Analysis, Applied Machine Learning, Google Cloud Platform, Machine Learning, SQL

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Data Manipulation and Transactions in SQL Server

      Skills you'll gain: Transaction Processing, Database Management, Microsoft SQL Servers, Operational Databases, SQL, Data Manipulation, Relational Databases, Data Integrity, Generative AI, Performance Tuning

      Beginner · Course · 1 - 4 Weeks

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

    • 運用 BigQuery 建立嵌入項目、向量搜尋和 RAG: Google Cloud
    • Relational Database Design and Advanced Querying: Microsoft
    • 在 Google Cloud 運用生成式 AI 翻新網站: Google Cloud
    • 在 Google Cloud 上创建生成式 AI 应用: Google Cloud
    • Google Cloud에서 생성형 AI 앱 만들기: Google Cloud
    • Master of Science in Cyber Security: University of London
    • Advanced Data Applications and Integration: Microsoft
    • Results-Driven Leadership for High-Performing Teams: Coursera Instructor Network
    • Cloud Spanner について: Google Cloud
    • Master of Science in Machine Learning and Data Science: Imperial College London

    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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