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.

Best Large Language Models (LLMs) Courses & Certificates Online [2025]

Explore the Large Language Models (LLMs) Course Catalog

DeepLearning.AI
Generative AI with Large Language Models
Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Artificial Intelligence, Applied Machine Learning, Scalability, Natural Language Processing, Machine Learning Methods, Application Deployment, Reinforcement Learning, User Feedback, Performance Tuning, Application Performance Management
4.8
Rating, 4.8 out of 5 stars
3.2K reviews
Intermediate · Course · 1 - 4 Weeks
Google Cloud
Introduction to Large Language Models
Skills you'll gain: Generative AI, Google Cloud Platform, Artificial Intelligence, Natural Language Processing, Performance Tuning
4.4
Rating, 4.4 out of 5 stars
848 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
DeepLearning.AI
Finetuning Large Language Models
Skills you'll gain: Generative AI, Performance Tuning, Data Processing, Applied Machine Learning, Deep Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML)
4.6
Rating, 4.6 out of 5 stars
489 reviews
Intermediate · Project · Less Than 2 Hours
Duke University
Large Language Model Operations (LLMOps)
Skills you'll gain: Databricks, Generative AI, Performance Analysis, Apache Airflow, Workflow Management, Data Lakes, Extract, Transform, Load, OpenAI, AWS SageMaker, Performance Tuning, Scalability, Data Transformation, Data Infrastructure, Microsoft Azure, MLOps (Machine Learning Operations), Amazon Web Services, Natural Language Processing, PyTorch (Machine Learning Library), Risk Management Framework, Artificial Intelligence
4.5
Rating, 4.5 out of 5 stars
155 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
Duke University
Foundations of Local Large Language models
Skills you'll gain: Generative AI, Application Deployment, Cloud Computing, Other Programming Languages, Data Ethics, MLOps (Machine Learning Operations), Artificial Intelligence, Risk Management Framework, Natural Language Processing, Open Source Technology, Rust (Programming Language)
4.5
Rating, 4.5 out of 5 stars
14 reviews
Beginner · Course · 1 - 4 Weeks
IBM
Generative AI Engineering with LLMs
Skills you'll gain: Generative AI, Natural Language Processing, PyTorch (Machine Learning Library), ChatGPT, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Deep Learning, Text Mining, Application Development, Feature Engineering, Artificial Intelligence, Document Management, Machine Learning Methods, Jupyter, Data Processing, Tensorflow, Applied Machine Learning, Application Frameworks, Performance Tuning
4.5
Rating, 4.5 out of 5 stars
303 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free
Coursera Instructor Network
Understanding Large Language Models in Business
Skills you'll gain: Trend Analysis, Real Time Data, Analytics, Business Strategy, Application Programming Interface (API), Generative AI, Technology Roadmaps, Business, Software Development, Business Technologies, Natural Language Processing, MarTech, Artificial Neural Networks, Content Marketing, Artificial Intelligence, Customer Service
4.6
Rating, 4.6 out of 5 stars
7 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
Google Cloud
Transformer Models and BERT Model
Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Unstructured Data, Deep Learning
4.1
Rating, 4.1 out of 5 stars
103 reviews
Advanced · Course · 1 - 4 Weeks
Vanderbilt University
Prompt Engineering for ChatGPT
Skills you'll gain: ChatGPT, Generative AI, Artificial Intelligence, Creative Thinking, Creative Problem-Solving, Natural Language Processing, Problem Solving, Application Development, Communication
4.8
Rating, 4.8 out of 5 stars
5.1K reviews
Beginner · Course · 1 - 3 Months
Status: Free
Coursera Instructor Network
Building Production-Ready Apps with Large Language Models
Skills you'll gain: Application Deployment, Application Development, Data Ethics, Artificial Intelligence, Generative AI, Development Environment, Applied Machine Learning, Deep Learning, Application Security
3.9
Rating, 3.9 out of 5 stars
18 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
DeepLearning.AI
LangChain Chat with Your Data
Skills you'll gain: ChatGPT, Data Processing, Data Store, Data Import/Export, Generative AI, Query Languages, OpenAI, Text Mining, Unstructured Data, Natural Language Processing
4.8
Rating, 4.8 out of 5 stars
573 reviews
Beginner · Project · Less Than 2 Hours
H2O.ai
Large Language Models
Skills you'll gain: Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, OpenAI, Natural Language Processing, Data Validation, ChatGPT, Data Cleansing, Applied Machine Learning, MLOps (Machine Learning Operations), Data Processing, Predictive Modeling, Data Quality, Feature Engineering, Machine Learning, Performance Tuning, Benchmarking, Artificial Intelligence
3.6
Rating, 3.6 out of 5 stars
8 reviews
Intermediate · Specialization · 3 - 6 Months