The Large Language Models Specialization equips learners with a solid foundation and advanced skills in NLP, covering LLM fundamentals, data preparation, fine-tuning, and advanced techniques. Through three progressive levels, learners will gain hands-on experience with H2O.ai tools like LLM DataStudio, h2oGPT, and EvalGPT, preparing them to excel in AI-driven NLP roles.
Large Language Models Specialization
Discover new skills with 30% off courses from industry experts. Save now.
Large Language Models Specialization
Master Advanced LLM Techniques With H2O.ai Tools. Learn to develop, fine-tune, and optimize large language models using H2O.ai's comprehensive GenAI ecosystem while mastering essential NLP techniques.
Instructor: Andreea Turcu
Included with 
Get in-depth knowledge of a subject
(12 reviews)
Intermediate level
Recommended experience
1 month at 1 hour a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
(12 reviews)
Intermediate level
Recommended experience
1 month at 1 hour a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
Foundations and evolution of large language models, including transformer architecture and pre-training.
Data preparation and fine-tuning techniques using LLM DataStudio.
Advanced NLP workflows, including model evaluation and customization with H2O.ai tools like h2oGPT.
Overview
Skills you'll gain
- Artificial Neural Networks
- MLOps (Machine Learning Operations)
- Natural Language Processing
- Data Cleansing
- Artificial Intelligence and Machine Learning (AI/ML)
- Applied Machine Learning
- Data Validation
- Data Transformation
- Training Programs
- Deep Learning
- Machine Learning Methods
- Verification And Validation
- AI Personalization
- Program Evaluation
- Large Language Modeling
- Data Processing
- Business Logic
Tools you'll learn
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
3 practice exercises
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from H2O.ai
Specialization - 3 course series
What you'll learn
Understand the definition and role of language models in natural language understanding.
Explore the evolution and techniques commonly used in language models.
Identify real-world applications of language models across various industries.
Master the basics of neural networks, deep learning, and transformer architecture.
Skills you'll gain
Category: Large Language Modeling
Category: Natural Language Processing
Category: Machine Learning Methods
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Generative AI
Category: Prompt Engineering
Category: Deep Learning
Category: Artificial Neural Networks
What you'll learn
Learn to prepare and clean datasets for NLP, ensuring high-quality data to improve model outcomes.
Explore LLM DataStudio’s workflows, customize interfaces, and implement efficient data management strategies.
Apply advanced fine-tuning techniques in H2O LLM Studio to optimize language models for specific NLP tasks.
Skills you'll gain
Category: Data Cleansing
Category: Large Language Modeling
Category: Data Quality
Category: Data Transformation
Category: Data Processing
Category: Feature Engineering
Category: Performance Tuning
Category: User Interface (UI)
Category: MLOps (Machine Learning Operations)
Category: Collaborative Software
Category: Verification And Validation
Category: Natural Language Processing
Category: Data Validation
What you'll learn
Build custom h2oGPT models using H2O ai tools and techniques.
Employ various evaluation methods to effectively assess model performance.
Understand and utilize the functionalities of LLM EvalGPT.
Analyze and navigate the components of the H2O ai Generative AI Ecosystem.
Skills you'll gain
Category: Benchmarking
Category: Large Language Modeling
Category: Natural Language Processing
Category: Prompt Engineering
Category: AI Personalization
Category: Human Machine Interfaces
Category: Content Performance Analysis
Category: Open Source Technology
Category: Generative AI
Category: Applied Machine Learning
Category: Data Processing
Category: Artificial Neural Networks
Category: Business Logic
Category: Program Evaluation
Category: Training Programs
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
Offered by
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
The complete specialization takes approximately 5 hours to complete, including quizzes across all three levels. (Level 1 takes 1 hour and 20 minutes, Level 2 takes 1 hour and 58 minutes, and Level 3 takes 1 hour and 36 minutes, including quizzes).
Basic understanding of machine learning, Python programming, and NLP concepts is recommended for this Learning Path.
Yes, the courses should be taken sequentially from Level 1 through Level 3, as each level builds upon knowledge gained in the previous one.
More questions
Financial aid available,