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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

      Create Image Captioning Models - 简体中文

      Skills you'll gain: Image Analysis, Deep Learning, Computer Vision, Data Modeling, Artificial Neural Networks

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Advanced Game Projects, C# Scripting, and Social Features

      Skills you'll gain: Unity Engine, C# (Programming Language), Android (Operating System), Mobile Development, Scripting, Video Game Development, Game Design, Animation and Game Design, Application Development, User Interface (UI)

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      L

      L&T EduTech

      TBMs,Pile Rigs,Cranes & Hauling Vehicles

      Skills you'll gain: Construction Engineering, Construction, Civil Engineering, Equipment Design, Structural Engineering, Maintenance, Repair, and Facility Services, Construction Management, Safety Assurance, Mechanical Engineering, Facility Management and Maintenance, Manufacturing Processes

      Advanced · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Create Image Captioning Models - 한국어

      Skills you'll gain: Image Analysis, Generative AI, Deep Learning, Computer Vision, Applied Machine Learning

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Advanced Azure Architecture and Migration Strategies

      Skills you'll gain: Microsoft Azure, Event-Driven Programming, Cloud Computing Architecture, Application Programming Interface (API), Application Deployment, Solution Architecture, Cloud Applications, Microservices, Cloud Computing, Software Architecture, Virtual Machines, Cloud Infrastructure, Enterprise Architecture, Serverless Computing, Network Architecture, API Design, Data Migration, Scalability, Containerization, Network Security

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Encoder-Decoder Architecture - בעברית

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

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Integrating Advanced Features and App Deployment

      Skills you'll gain: Apple iOS, iOS Development, Apple Xcode, Swift Programming, Cross Platform Development, Mobile Development, Cloud Storage, Data Storage Technologies, Application Deployment, UI Components, Application Development, Web Content, User Interface (UI), Mac OS

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Create Image Captioning Models - 繁體中文

      Skills you'll gain: Image Analysis, Generative AI, Deep Learning, Applied Machine Learning, Computer Vision

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Serverless Data Processing with Dataflow: Develop Pipelines em Português Brasileiro

      Skills you'll gain: Dataflow, Data Pipelines, Apache Kafka, Real Time Data, Data Processing, Pandas (Python Package), Google Cloud Platform, Data Transformation, Jupyter, SQL, Cloud Storage

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Encoder-Decoder Architecture - Português Brasileiro

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

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Exploit Development, Malware, & Defensive Strategies

      Skills you'll gain: Penetration Testing, Malware Protection, Network Monitoring, Object Oriented Programming (OOP), Cybersecurity, Network Security, Network Protocols, Network Analysis, Vulnerability Assessments, Scripting, Remote Access Systems, Python Programming, Command-Line Interface

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Create Image Captioning Models - Português Brasileiro

      Skills you'll gain: Image Analysis, Deep Learning, Computer Vision, Applied Machine Learning

      Advanced · Course · 1 - 4 Weeks

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

    • Create Image Captioning Models - 简体中文: Google Cloud
    • Advanced Game Projects, C# Scripting, and Social Features: Packt
    • TBMs,Pile Rigs,Cranes & Hauling Vehicles: L&T EduTech
    • Create Image Captioning Models - 한국어: Google Cloud
    • Advanced Azure Architecture and Migration Strategies: Packt
    • Encoder-Decoder Architecture - בעברית: Google Cloud
    • Integrating Advanced Features and App Deployment: Packt
    • Create Image Captioning Models - 繁體中文: Google Cloud
    • Serverless Data Processing with Dataflow: Develop Pipelines em Português Brasileiro: Google Cloud
    • Encoder-Decoder Architecture - Português Brasileiro: 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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