What are the best LLM courses online?

Browse the LLM courses below—popular starting points on Coursera. Generative AI with Large Language Models: DeepLearning.AI Introduction to Large Language Models: Google Cloud Large Language Model Operations (LLMOps): Duke University Finetuning Large Language Models: DeepLearning.AI Generative AI Engineering with LLMs: IBM Large Language Models: H2O.ai Foundations of Local Large Language models: Duke University

What skills can I learn from courses on Large Language Models (LLMs) on Coursera?

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.

Do I need prior experience in artificial intelligence to start learning about LLMs on Coursera?

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.

What certifications and credentials can I earn through LLM courses on Coursera?

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.

What career opportunities can be pursued with skills in Large Language Models?

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.

How can I purchase LLM training courses for my team?

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.

Top Large Language Models Courses - Learn Large Language Models Online

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Large Language Models

Large Language Models Courses

Large Language Models courses can help you learn natural language processing, text generation techniques, and model evaluation methods. You can build skills in fine-tuning models, understanding tokenization, and implementing ethical AI practices. Many courses introduce tools like TensorFlow and PyTorch, along with libraries such as Hugging Face Transformers, that support developing and deploying AI applications that leverage large language models.

Popular Large Language Models Courses and Certifications

Google Cloud
Transformer Models and BERT Model
Skills you'll gain: Large Language Modeling, Natural Language Processing, Generative Model Architectures, Artificial Neural Networks
4.1
Rating, 4.1 out of 5 stars
124 reviews
Advanced · Course · 1 - 4 Weeks
Status: New
Packt
Decoding Large Language Models
Skills you'll gain: Large Language Modeling, Generative Model Architectures, Prompt Engineering, Generative AI, Deep Learning, Natural Language Processing, Responsible AI, Application Deployment, Scalability, Operational Efficiency, Machine Learning, Performance Tuning, Systems Integration
Advanced · Course · 3 - 6 Months
Status: New
Status: Free Trial
AI CERTs
AI for Telecommunications
Skills you'll gain: Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Internet Of Things, Telecommunications, Anomaly Detection, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Responsible AI, Emerging Technologies, Wireless Networks, Generative AI, Network Performance Management, Digital Communications, Generative AI Agents, Network Architecture, Network Protocols, Computer Networking, System Design and Implementation, Communication
Advanced · Specialization · 1 - 3 Months
Status: New
Status: Preview
Coursera
Advanced BSP Development with Embedded C
Skills you'll gain: Embedded Software, Embedded Systems, System Programming, Cross Platform Development, Hardware Architecture, Peripheral Devices, Serial Peripheral Interface, Performance Tuning, Software Design, Real Time Data, Technical Design, C (Programming Language), Debugging, System Configuration, Maintainability, Scalability, Data Mapping
Advanced · Course · 1 - 4 Weeks
Status: Free Trial
Duke University
MLOps | Machine Learning Operations
Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Application Deployment, Responsible AI, 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
550 reviews
Advanced · Specialization · 3 - 6 Months
Status: New
Status: Free Trial
AI CERTs
Customer Experience in Telecommunication
Skills you'll gain: Tensorflow, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Generative AI, Internet Of Things, Responsible AI, Telecommunications, Network Monitoring, Generative AI Agents, Data Ethics, Network Performance Management, Emerging Technologies, Wireless Networks, Digital Communications, Network Architecture, Computer Networking, System Design and Implementation, Network Protocols, Communication
Advanced · Course · 1 - 3 Months

What brings you to Coursera today?

Start my career

Change my career

Grow in my current role

Explore topics outside of work

Status: New
Status: Free Trial
Packt
Advanced C++ Features and Data Structures
Skills you'll gain: Object Oriented Programming (OOP), C++ (Programming Language), Data Structures, Software Design Patterns, Programming Principles, File Management, Algorithms, Simulations
Advanced · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
Edureka
AI Agent Orchestration and Scaling
Skills you'll gain: Generative AI Agents, Agentic systems, Workflow Management, Artificial Intelligence, Prompt Engineering, Generative AI, Customer and Client Support, Governance, User Feedback
Advanced · Course · 1 - 4 Weeks
Status: New
Status: Preview
Coursera
Advanced Contract Testing with Pact and Beyond
Skills you'll gain: Application Deployment, Integration Testing, Continuous Deployment, Microservices, System Testing, Software Versioning, Continuous Integration, Software Testing, Development Testing, Test Automation, Application Programming Interface (API), CI/CD, Verification And Validation
Advanced · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
Packt
Advanced Python and Professional Development
Skills you'll gain: Object Oriented Programming (OOP), Object Oriented Design, Microsoft Visual Studio, Development Environment, Maintainability, Integrated Development Environments, Scalability, Software Development Tools, Python Programming, Debugging, Computer Programming Tools, Software Installation
Advanced · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
Packt
Advanced Deployment, MLOps, and Generative AI in Azure
Skills you'll gain: CI/CD, Real Time Data
Advanced · Course · 1 - 4 Weeks
Status: New
Status: Preview
Coursera
Advanced Data Testing for Quality at Scale
Skills you'll gain: Application Lifecycle Management, Azure DevOps, CI/CD, DevSecOps, Continuous Delivery, GitLab, Continuous Integration, DevOps, Data Validation, Data Quality, Test Automation, Workflow Management, Extract, Transform, Load, Test Case, Enterprise Architecture, Governance, Data Pipelines, Scalability, SQL
Advanced · Course · 1 - 4 Weeks

Searches related to large language models

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

Transformer Models and BERT Model: Google Cloud
Decoding Large Language Models: Packt
AI for Telecommunications: AI CERTs
Advanced BSP Development with Embedded C: Coursera
MLOps | Machine Learning Operations: Duke University
Customer Experience in Telecommunication: AI CERTs
Advanced C++ Features and Data Structures: Packt
AI Agent Orchestration and Scaling: Edureka
Advanced Contract Testing with Pact and Beyond: Coursera
Advanced Python and Professional Development: Packt

Frequently Asked Questions about Large Language Models

Browse the LLM courses below—popular starting points on Coursera.

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.‎

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.