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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
      J

      Johns Hopkins University

      Statistical Methods for Computer Science

      Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Statistical Methods, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, Probability, Probability & Statistics, Bayesian Statistics, Probability Distribution, Simulations, Data Science, Markov Model, Applied Mathematics, Graph Theory, Statistics

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Machine Learning for Accounting with Python

      Skills you'll gain: Machine Learning Algorithms, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning, Text Mining, Applied Machine Learning, Time Series Analysis and Forecasting, Data Processing, Supervised Learning, Predictive Modeling, Python Programming, Regression Analysis, Feature Engineering, Jupyter, Pandas (Python Package), Natural Language Processing, Statistical Analysis, Performance Metric

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      43 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Optimize TensorFlow Models For Deployment with TensorRT

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Deep Learning, Performance Tuning, Machine Learning Methods

      4.5
      Rating, 4.5 out of 5 stars
      ·
      75 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      S

      Simplilearn

      Programming with C

      Skills you'll gain: C (Programming Language), Data Structures, C++ (Programming Language), Computer Programming, Programming Principles, Data Management, System Programming, Data Storage, Algorithms, Development Environment

      4
      Rating, 4 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Field BIM

      Skills you'll gain: Building Information Modeling, Construction Management, Construction, Construction Engineering, Autodesk Revit, Commercial Construction, Construction Estimating, Emerging Technologies, Civil and Architectural Engineering, Architectural Engineering, Facility Management, Collaborative Software, Cloud Computing, 3D Modeling, Document Management, Visualization (Computer Graphics), Data Integration, Internet Of Things, Estimation, Digital Transformation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      19 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Optimization of SQL query Tuning and Performance

      Skills you'll gain: SQL, Query Languages, Database Design, Performance Tuning, Database Management, Database Development, Databases, Data Access

      3.1
      Rating, 3.1 out of 5 stars
      ·
      29 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • E

      Edureka

      Snowflake Cloud Data Platform: Getting Started

      Skills you'll gain: Snowflake Schema, Data Storage, Data Management, Data Sharing, User Accounts, Data Warehousing, SQL, Identity and Access Management, Stored Procedure, Performance Tuning, Data Security, Cloud Computing Architecture

      4
      Rating, 4 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • E

      Edureka

      Gen AI for Code Generation for Python

      Skills you'll gain: Prompt Engineering, Generative AI, Scenario Testing, Code Review, Python Programming, Test Case, ChatGPT, Application Development, Automation, Debugging

      4.3
      Rating, 4.3 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Visualizing Filters of a CNN using TensorFlow

      Skills you'll gain: Tensorflow, Applied Machine Learning, Python Programming, Jupyter, Artificial Neural Networks, Deep Learning, Computer Vision, Scientific Visualization

      4.4
      Rating, 4.4 out of 5 stars
      ·
      78 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • P

      Packt

      Python for Finance: Investment Fundamentals & Data Analytics

      Skills you'll gain: Regression Analysis, Risk Analysis, Portfolio Management, Financial Analysis, Risk Management, Financial Modeling, Statistical Analysis, Data Visualization, Investment Management, Simulations, Financial Forecasting, Python Programming, Matplotlib, Pandas (Python Package), Jupyter, NumPy, Data Manipulation

      Intermediate · Course · 3 - 6 Months

    • Status: New
      New
      I

      IIT Bombay

      Design Thinking and Innovation

      Skills you'll gain: Design Thinking, User Research, Ideation, Prototyping, Human Centered Design, User Experience Design, Product Design, Innovation, Brainstorming, Creative Thinking, Empathy, User Feedback, Product Development, Customer experience improvement

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Random Models, Nested and Split-plot Designs

      Skills you'll gain: Statistical Analysis, Regression Analysis, Statistical Modeling, Data Analysis, Statistical Methods, Data Transformation, Probability Distribution

      4.6
      Rating, 4.6 out of 5 stars
      ·
      34 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Statistical Methods for Computer Science: Johns Hopkins University
    • Machine Learning for Accounting with Python: University of Illinois Urbana-Champaign
    • Optimize TensorFlow Models For Deployment with TensorRT: Coursera Project Network
    • Programming with C: Simplilearn
    • Field BIM: L&T EduTech
    • Optimization of SQL query Tuning and Performance: Coursera Project Network
    • Snowflake Cloud Data Platform: Getting Started: Edureka
    • Gen AI for Code Generation for Python: Edureka
    • Visualizing Filters of a CNN using TensorFlow: Coursera Project Network
    • Python for Finance: Investment Fundamentals & Data Analytics: Packt

    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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