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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

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - 日本語版

      Skills you'll gain: Customer Relationship Management, Google Cloud Platform, Generative AI, Big Data, Predictive Modeling, Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML), SQL, Data Analysis

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Google Workspace Security - Português Brasileiro

      Skills you'll gain: Single Sign-On (SSO), Lightweight Directory Access Protocols, Security Assertion Markup Language (SAML), Authentications, Google Workspace, Application Security, OAuth, Cloud Security, Security Management, User Accounts, Identity and Access Management, Threat Detection, Multi-Factor Authentication, Application Programming Interface (API)

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - 한국어

      Skills you'll gain: Generative AI, Customer Relationship Management, Workflow Management, Google Cloud Platform, Applied Machine Learning, Big Data, Business Modeling, Artificial Intelligence and Machine Learning (AI/ML), SQL, Predictive Modeling, Python Programming

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini in Google Docs - 简体中文

      Skills you'll gain: Generative AI, Prompt Engineering, Google Workspace, Large Language Modeling, Grammar, Technical Writing

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 简体中文

      Skills you'll gain: Generative AI, MLOps (Machine Learning Operations), Continuous Monitoring, Statistical Methods, Predictive Modeling, Google Cloud Platform, Machine Learning, Data Quality, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Privacy & Safety - 简体中文

      Skills you'll gain: Information Privacy, Cloud Security, Personally Identifiable Information, Google Cloud Platform, Data Security, Computer Security, Security Controls, Data Governance, Safety and Security, Artificial Intelligence, Encryption

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Encoder-Decoder Architecture - Deutsch

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Deep Learning, Natural Language Processing, Artificial Neural Networks, Machine Learning Methods

      Advanced · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Privacy & Safety - Français

      Skills you'll gain: Information Privacy, Generative AI, Personally Identifiable Information, Google Cloud Platform, Open Source Technology, Cloud Security, Data Security, Artificial Intelligence, Safety and Security, Machine Learning, Large Language Modeling

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Privacy & Safety - Indonesian

      Skills you'll gain: Generative AI, Google Cloud Platform, Information Privacy, Data Ethics, Personally Identifiable Information, Cloud Security, Data Security, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Computer Security, Safety and Security

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Gemini for DevOps Engineers - Deutsch

      Skills you'll gain: Kubernetes, DevOps, CI/CD, Google Cloud Platform, Infrastructure as Code (IaC), System Design and Implementation, Development Environment, Application Performance Management, Natural Language Processing

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Feature Engineering - Italiano

      Skills you'll gain: Feature Engineering, Tensorflow, MLOps (Machine Learning Operations), Data Processing, Keras (Neural Network Library), Data Pipelines, Data Transformation, Machine Learning, Data Modeling, Statistical Methods

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Boost Productivity with Gemini in BigQuery - Español

      Skills you'll gain: Exploratory Data Analysis, Data Processing, Data Manipulation, Data Cleansing, Data Analysis Expressions (DAX), Big Data, Google Cloud Platform, Prompt Engineering, Artificial Intelligence, Generative AI, Query Languages, Debugging, SQL

      Beginner · Course · 1 - 4 Weeks

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

    • Work with Gemini Models in BigQuery - 日本語版: Google Cloud
    • Google Workspace Security - Português Brasileiro: Google Cloud
    • Work with Gemini Models in BigQuery - 한국어: Google Cloud
    • Gemini in Google Docs - 简体中文: Google Cloud
    • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 简体中文: Google Cloud
    • Responsible AI for Developers: Privacy & Safety - 简体中文: Google Cloud
    • Encoder-Decoder Architecture - Deutsch: Google Cloud
    • Responsible AI for Developers: Privacy & Safety - Français: Google Cloud
    • Responsible AI for Developers: Privacy & Safety - Indonesian: Google Cloud
    • Gemini for DevOps Engineers - Deutsch: Google Cloud

    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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