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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 Trial
      Free Trial
      U

      Università di Napoli Federico II

      English Intermediate B1.2

      Skills you'll gain: English Language, Vocabulary, Education and Training, Language Learning, Interpersonal Communications, Environmental Issue, Oral Comprehension, Grammar

      4.7
      Rating, 4.7 out of 5 stars
      ·
      186 reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      The Unix Workbench

      Skills you'll gain: GitHub, Unix Shell, Unix, Git (Version Control System), Unix Commands, Version Control, Bash (Scripting Language), Command-Line Interface, Cloud Computing, Shell Script, Linux, Mac OS, Scripting, Programming Principles, File Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Requirements Engineering: Secure Software Specifications

      Skills you'll gain: Requirements Elicitation, Software Design Documents, Requirements Analysis, Security Requirements Analysis, Mockups, User Story, Interviewing Skills, User Requirements Documents, Storyboarding, Functional Requirement, Goal Setting, Software Development Methodologies, Software Documentation, Agile Methodology, Business Requirements, Unified Modeling Language, Risk Management Framework, System Requirements, Functional Specification, Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      844 reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      ISC2

      ISC2 Systems Security Certified Practitioner (SSCP)

      Skills you'll gain: Incident Response, Security Controls, Cryptography, Malware Protection, Key Management, Vulnerability Assessments, Risk Management, Continuous Monitoring, Public Key Infrastructure, Endpoint Security, Disaster Recovery, Computer Security Incident Management, OSI Models, Network Security, Encryption, Authentications, Mobile Security, Operational Risk, Security Awareness, Authorization (Computing)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      220 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      The Hong Kong University of Science and Technology

      Software Engineering

      Skills you'll gain: Software Design Patterns, Requirements Analysis, Software Architecture, Acceptance Testing, Software Development Methodologies, Unified Modeling Language, Software Development Life Cycle, Configuration Management, Software Quality Assurance, Debugging, Software Design, Process Driven Development, Software Engineering, Quality Assurance, Software Testing, Object Oriented Design, Functional Requirement, Systems Analysis, Data Modeling, Object Oriented Programming (OOP)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      509 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Fine Tune BERT for Text Classification with TensorFlow

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Natural Language Processing, Deep Learning, Data Processing, Data Pipelines

      4.6
      Rating, 4.6 out of 5 stars
      ·
      208 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Feature Engineering

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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Back-End Developer

      Skills you'll gain: CI/CD, C# (Programming Language), Load Balancing, Continuous Integration, Role-Based Access Control (RBAC), Scalability, Object Oriented Programming (OOP), Authentications, ASP.NET, Debugging, SQL, Application Deployment, Microsoft Azure, Cloud Services, Microsoft Copilot, Relational Databases, Graph Theory, Back-End Web Development, Program Development, Data Structures

      4.6
      Rating, 4.6 out of 5 stars
      ·
      114 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Principles of fMRI 1

      Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Data Analysis, Research Design, Image Analysis, Neurology, Science and Research, Statistical Analysis, Statistical Modeling, Data Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      839 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      TensorFlow 2 for Deep Learning

      Skills you'll gain: Tensorflow, Generative AI, Data Pipelines, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Bayesian Statistics, Supervised Learning, Natural Language Processing, Data Processing, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Time Series Analysis and Forecasting, Jupyter, Dimensionality Reduction

      4.8
      Rating, 4.8 out of 5 stars
      ·
      710 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI For Medical Treatment

      Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Feature Engineering, Treatment Planning, Data Analysis, Precision Medicine, Applied Machine Learning, Patient Treatment, Machine Learning Methods, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Predictive Modeling, Medical Science and Research, Text Mining, Health Informatics, Large Language Modeling, Medical Terminology, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      524 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      AI in Healthcare Capstone

      Skills you'll gain: Patient Evaluation, Health Informatics, Clinical Data Management, Artificial Intelligence and Machine Learning (AI/ML), Data Collection, Applied Machine Learning, Application Deployment, Health Care Procedure and Regulation, Data Ethics, Machine Learning Software, Machine Learning, Healthcare Industry Knowledge, Predictive Modeling, Performance Tuning, Regulatory Compliance, Feature Engineering

      4.7
      Rating, 4.7 out of 5 stars
      ·
      258 reviews

      Mixed · Course · 1 - 3 Months

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

    • English Intermediate B1.2: Università di Napoli Federico II
    • The Unix Workbench: Johns Hopkins University
    • Requirements Engineering: Secure Software Specifications: University of Colorado System
    • ISC2 Systems Security Certified Practitioner (SSCP): ISC2
    • Software Engineering: The Hong Kong University of Science and Technology
    • Fine Tune BERT for Text Classification with TensorFlow: Coursera Project Network
    • Feature Engineering: Google Cloud
    • Microsoft Back-End Developer: Microsoft
    • Principles of fMRI 1: Johns Hopkins University
    • TensorFlow 2 for Deep Learning: 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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