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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

      Transformer Models and BERT Model

      Skills you'll gain: Large Language Modeling, Natural Language Processing, Generative AI, Artificial Neural Networks

      4.1
      Rating, 4.1 out of 5 stars
      ·
      111 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      H

      H2O.ai

      H2O ai Large Language Models (LLMs) - Level 3

      Skills you'll gain: Generative AI, Prompt Engineering, Training Programs, Large Language Modeling, Program Evaluation, Business Logic, Applied Machine Learning, AI Personalization, Content Performance Analysis, Data Processing, Open Source Technology, Benchmarking, Natural Language Processing, Human Machine Interfaces, Artificial Neural Networks

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Project Management in Construction

      Skills you'll gain: Scope Management, Stakeholder Management, Project Schedules, Project Risk Management, Environment Health And Safety, Work Breakdown Structure, Project Scoping, Earned Value Management, Feasibility Studies, Risk Analysis, Quality Management, Procurement, Cost Estimation, Scheduling, Cost Management, Project Management Life Cycle, Contract Management, Communication Strategies, Risk Management, Project Controls

      4.7
      Rating, 4.7 out of 5 stars
      ·
      42 reviews

      Advanced · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      Exam Prep (SAP-C02): AWS Solutions Architect - Professional

      Skills you'll gain: AWS Identity and Access Management (IAM), Amazon CloudWatch, AWS SageMaker, Amazon DynamoDB, Amazon Redshift, Serverless Computing, Amazon Web Services, Identity and Access Management, Amazon S3, AWS CloudFormation, Cloud Management, AWS Kinesis, Infrastructure as Code (IaC), Cloud Security, Network Security, Threat Detection, Amazon Elastic Compute Cloud, Network Architecture, Infrastructure Security, Containerization

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Google Advanced Data Analytics

      Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Statistical Hypothesis Testing, Data Ethics, Data Visualization Software, Sampling (Statistics), Data Presentation, Regression Analysis, Feature Engineering, Data Transformation, Descriptive Statistics, Data Analysis, Statistical Analysis, Data Visualization, Tableau Software, Object Oriented Programming (OOP), Data Science, Python Programming, Interviewing Skills, Machine Learning

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.8K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      IBM RAG and Agentic AI

      Skills you'll gain: Prompt Engineering, Generative AI, Generative AI Agents, Agentic systems, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Software Design, Data Governance, Large Language Modeling, Application Development, Database Systems, Data Storage Technologies, Databases, Artificial Intelligence, NoSQL, Full-Stack Web Development, Flask (Web Framework), Database Management, Software Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      38 reviews

      Advanced · Professional Certificate · 3 - 6 Months

    What brings you to Coursera today?

    • Status: Free Trial
      Free Trial
      D

      Duke University

      MLOps | Machine Learning Operations

      Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Data Ethics, Application Deployment, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      471 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Statistical Modeling, Bayesian Statistics, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Michigan

      More Applied Data Science with Python

      Skills you'll gain: Unsupervised Learning, Data Mining, ChatGPT, Applied Machine Learning, Anomaly Detection, Data Science, Supervised Learning, Machine Learning, Data Analysis, Data Manipulation, Data Pipelines, Python Programming, Exploratory Data Analysis, Machine Learning Algorithms, Jupyter

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Foundations of Data Structures and Algorithms

      Skills you'll gain: Theoretical Computer Science, Algorithms, Data Structures, Graph Theory, Operations Research, Public Key Cryptography Standards (PKCS), Computer Programming, Computational Logic, Cryptography, Computer Science, Computational Thinking, Applied Mathematics, Advanced Mathematics, Mathematical Theory & Analysis, Encryption, Network Model, Linear Algebra, Combinatorics, Python Programming, Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      835 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      C

      Codio

      Advanced Django: Mastering Django and Django Rest Framework

      Skills you'll gain: Django (Web Framework), Performance Tuning, Postman API Platform, Restful API, Application Programming Interface (API), Data Validation, Authentications, React.js, Authorization (Computing), Secure Coding, PostgreSQL, Object-Relational Mapping, API Design, Model View Controller, Scalability, Application Frameworks, JSON, Full-Stack Web Development, Web Development, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      157 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Google Business Intelligence

      Skills you'll gain: Data Modeling, Stakeholder Engagement, Business Intelligence, Extract, Transform, Load, Database Design, Dashboard, Data Integration, Data Pipelines, Data Warehousing, Tableau Software, Business Analytics, Database Systems, Business Process, Interviewing Skills, Data Visualization, Applicant Tracking Systems, Business Analysis, Professional Development, Data Analysis, SQL

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.4K reviews

      Advanced · Professional Certificate · 3 - 6 Months

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

    • Transformer Models and BERT Model: Google Cloud
    • H2O ai Large Language Models (LLMs) - Level 3: H2O.ai
    • Project Management in Construction: L&T EduTech
    • Exam Prep (SAP-C02): AWS Solutions Architect - Professional: Whizlabs
    • Google Advanced Data Analytics: Google
    • IBM RAG and Agentic AI: IBM
    • MLOps | Machine Learning Operations: Duke University
    • Probabilistic Graphical Models: Stanford University
    • More Applied Data Science with Python: University of Michigan
    • Foundations of Data Structures and Algorithms: University of Colorado Boulder

    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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