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 Glasgow
Generative Pre-trained Transformers (GPT)
Skills you'll gain: ChatGPT, OpenAI, Generative AI, Natural Language Processing, PyTorch (Machine Learning Library), Risk Management Framework, Data Ethics, Deep Learning, Text Mining, Artificial Intelligence, Machine Learning
4.4
Rating, 4.4 out of 5 stars
31 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
DeepLearning.AI
Open Source Models with Hugging Face
Skills you'll gain: Generative AI, Cloud Applications, Natural Language Processing, Application Development, Application Programming Interface (API), Open Source Technology, Applied Machine Learning, Image Analysis, User Interface (UI), Computer Vision, Text Mining
4.7
Rating, 4.7 out of 5 stars
38 reviews
Beginner · Project · Less Than 2 Hours
Google Cloud
Natural Language Processing on Google Cloud
Skills you'll gain: Natural Language Processing, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Artificial Intelligence, Cloud Computing, Applied Machine Learning, Cloud API, Cloud Solutions, Feature Engineering, Unstructured Data, Data Processing, Machine Learning, Application Programming Interface (API)
4.4
Rating, 4.4 out of 5 stars
534 reviews
Advanced · Course · 1 - 3 Months
University of Michigan
Python for Everybody
Skills you'll gain: Web Scraping, Data Processing, Relational Databases, JSON, Database Design, SQL, Network Protocols, Databases, Web Services, Restful API, Programming Principles, Data Cleansing, Data Structures, Data Storytelling, Data Collection, Computer Programming, Python Programming, Data Manipulation, Development Environment, Computational Thinking
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
277K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
Google Cloud
Introduction to Large Language Models - Bahasa Indonesia
Skills you'll gain: Generative AI, Application Development, Google Cloud Platform, Artificial Intelligence, Natural Language Processing, Performance Tuning
Beginner · Course · 1 - 4 Weeks
IBM
IBM Generative AI Engineering
Skills you'll gain: Generative AI, Data Wrangling, Unit Testing, Supervised Learning, Feature Engineering, ChatGPT, Keras (Neural Network Library), Unsupervised Learning, Natural Language Processing, Data Cleansing, Jupyter, Data Analysis, Deep Learning, Data Manipulation, PyTorch (Machine Learning Library), Data Transformation, Artificial Intelligence, Data Import/Export, Data Ethics, Exploratory Data Analysis
4.6
Rating, 4.6 out of 5 stars
82K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free
Coursera Instructor Network
Introduction to Retrieval Augmented Generation (RAG)
Skills you'll gain: ChatGPT, OpenAI, Generative AI, Natural Language Processing, Application Frameworks, Artificial Intelligence, Application Development, Databases, Data Storage Technologies
4.1
Rating, 4.1 out of 5 stars
9 reviews
Beginner · Course · 1 - 4 Weeks
Vanderbilt University
Generative AI Primer
Skills you'll gain: Generative AI, ChatGPT, Artificial Intelligence, Innovation, Creativity, Creative Problem-Solving, Human Computer Interaction, Technical Communication, Natural Language Processing
4.8
Rating, 4.8 out of 5 stars
262 reviews
Beginner · Course · 1 - 4 Weeks
Whizlabs
NVIDIA: Large Language Models and Generative AI Deployment
Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Natural Language Processing, Deep Learning, MLOps (Machine Learning Operations), Application Deployment, Tensorflow, Artificial Intelligence, System Monitoring, Data Cleansing, Machine Learning, Data Processing, Reinforcement Learning
Intermediate · Course · 1 - 4 Weeks
H2O.ai
H2O ai Large Language Models (LLMs) - Level 3
Skills you'll gain: Generative AI, OpenAI, ChatGPT, Applied Machine Learning, Predictive Modeling, Benchmarking, Artificial Intelligence, Natural Language Processing
Advanced · Course · 1 - 3 Months
Status: Free
Google Cloud
Introduction to Large Language Models - Español
Skills you'll gain: Generative AI, Google Cloud Platform, Application Development, Artificial Intelligence, Natural Language Processing, Performance Tuning
4.6
Rating, 4.6 out of 5 stars
12 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
Google Cloud
Introduction to Large Language Models - Français
Skills you'll gain: Generative AI, Google Cloud Platform, Artificial Intelligence, Performance Tuning, Natural Language Processing
4.1
Rating, 4.1 out of 5 stars
7 reviews
Beginner · Course · 1 - 4 Weeks