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

Explore the Large Language Models (LLMs) Course Catalog

University of Michigan
Programming for Everybody (Getting Started with Python)
Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Computational Thinking, Software Installation, Development Environment
4.8
Rating, 4.8 out of 5 stars
231K reviews
Beginner · Course · 1 - 3 Months
Status: AI skills
IBM
IBM Data Science
Skills you'll gain: Dashboard, Data Visualization Software, Data Wrangling, Data Visualization, SQL, Supervised Learning, Feature Engineering, Plotly, Interactive Data Visualization, Jupyter, Exploratory Data Analysis, Data Mining, Data Cleansing, Matplotlib, Data Analysis, Unsupervised Learning, Generative AI, Pandas (Python Package), Data Manipulation, Professional Networking
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
142K reviews
Beginner · Professional Certificate · 3 - 6 Months
IBM
Generative AI Fundamentals
Skills you'll gain: Generative AI, ChatGPT, OpenAI, Data Ethics, Leadership and Management, Business Leadership, Strategic Leadership, Business Ethics, IBM Cloud, Tensorflow, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Content Creation, Business Transformation, New Business Development, Innovation, Software Development Tools
4.7
Rating, 4.7 out of 5 stars
6K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
Google Cloud
Introduction to Large Language Models - 日本語版
Skills you'll gain: Generative AI, Google Cloud Platform, Application Development, Artificial Intelligence, Natural Language Processing, Performance Tuning
Beginner · Course · 1 - 4 Weeks
University of Michigan
Introduction to Structured Query Language (SQL)
Skills you'll gain: Database Design, SQL, MySQL, Relational Databases, Database Management, Databases, Data Modeling, Data Integrity, Development Environment, Software Installation
4.7
Rating, 4.7 out of 5 stars
5.4K reviews
Intermediate · Course · 1 - 4 Weeks
Status: New
H2O.ai
H2O ai Large Language Models (LLMs) - Level 1
Skills you'll gain: Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Natural Language Processing, Machine Learning
Beginner · Course · 1 - 4 Weeks
Status: New
H2O.ai
H2O ai Large Language Models (LLMs) - Level 2
Skills you'll gain: Data Validation, Data Cleansing, Natural Language Processing, MLOps (Machine Learning Operations), Data Processing, Data Quality, Applied Machine Learning, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Performance Tuning
Intermediate · Course · 1 - 4 Weeks
Status: New
Multiple educators
Data Science Foundations
Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Mining, Pandas (Python Package), Correlation Analysis, Web Scraping, NumPy, Probability & Statistics, Predictive Modeling, Big Data, Automation, Data Visualization Software, Data Collection, Data Science, GitHub, Python Programming, Machine Learning Algorithms, Unsupervised Learning
4.6
Rating, 4.6 out of 5 stars
111K reviews
Beginner · Specialization · 3 - 6 Months
IBM
Introduction to Data Science
Skills you'll gain: SQL, Jupyter, Data Mining, Peer Review, Data Modeling, Databases, Stored Procedure, Relational Databases, Database Design, Query Languages, Data Science, Database Management, Big Data, Data Cleansing, Data Visualization Software, GitHub, Business Analysis, Cloud Computing, Data Analysis, Data Processing
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
98K reviews
Beginner · Specialization · 3 - 6 Months
Status: New
IBM
IBM Relational Database Administrator
Skills you'll gain: Data Warehousing, SQL, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, Database Administration, MySQL, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Transformation, IBM DB2, Relational Databases, Jupyter, Generative AI
4.6
Rating, 4.6 out of 5 stars
57K reviews
Intermediate · Professional Certificate · 3 - 6 Months
IBM
IBM AI Developer
Skills you'll gain: Generative AI, Software Development Life Cycle, Unit Testing, ChatGPT, HTML and CSS, Development Environment, Web Design and Development, Jupyter, Hypertext Markup Language (HTML), Software Engineering, Artificial Intelligence, Cascading Style Sheets (CSS), Web Development, Data Ethics, Application Deployment, Web Applications, Automation, Interviewing Skills, CI/CD, Professional Networking
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
67K reviews
Beginner · Professional Certificate · 3 - 6 Months
DeepLearning.AI
Natural Language Processing with Attention Models
Skills you'll gain: Natural Language Processing, PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Tensorflow, Machine Learning Methods, Artificial Intelligence, Text Mining, Data Processing
4.4
Rating, 4.4 out of 5 stars
1.1K reviews
Intermediate · Course · 1 - 4 Weeks