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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
(8 reviews)
Recommended experience
Intermediate level
Basic understanding of Python programming and machine learning concepts. Familiarity with neural networks and NLP basics is helpful but not required.
(8 reviews)
Recommended experience
Intermediate level
Basic understanding of Python programming and machine learning concepts. Familiarity with neural networks and NLP basics is helpful but not required.
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.
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November 2024
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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.
Applied Learning Project
Throughout this specialization, you will work on practical projects involving custom GPT model creation, dataset preparation, and model evaluation using H2O.ai tools (such as LLM DataStudio and h2oGPT) , culminating in the development of production-ready LLM applications.
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.
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.
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.
At H2O.ai University, our mission is to deliver exceptional courses on state-of-the-art AI tools. These courses aim to support the H2O ai community in effectively using our tools and achieving certification success. We are committed to fostering a deep understanding and proficiency in AI, empowering our users to excel in their endeavors.
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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.
While university credit is not awarded, you will gain comprehensive expertise in LLM development, data preparation, and H2O.ai tools, preparing you for professional roles in NLP, machine learning, and data engineering.
Notable key capabilities you will develop upon completing this specialization are:
Design and implement custom GPT models using H2O.ai tools
Prepare and optimize datasets for LLM training
Master data cleaning and preparation using LLM DataStudio
Evaluate and benchmark LLM performance
Navigate the complete H2O.ai GenAI ecosystem
Create specialized datasets for specific NLP tasks
Deploy production-ready language models
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
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