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H2O ai Large Language Models (LLMs) - Level 1

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H2O ai Large Language Models (LLMs) - Level 1

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

1 hour to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

1 hour to complete
Flexible schedule
Learn at your own pace

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.

Details to know

Shareable certificate

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Assessments

1 assignment

Taught in English

Build your subject-matter expertise

This course is part of the Large Language Models Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

Begin your exploration of Large Language Models (LLMs) with our foundational Level 1 course! Tailored for both beginners and those with some machine learning experience, this course provides a deep understanding of essential concepts and techniques in language modeling.

Led by Andreea Turcu, H2O ai's expert in AI education, you will start by learning what a language model is and its crucial role in natural language understanding. We'll explore the evolution of these models and delve into the techniques used to develop and refine them. The course also highlights real-world applications across industries, demonstrating the transformative power of LLMs. You will also gain a strong foundation in neural networks and deep learning, essential for mastering advanced AI techniques. A significant portion of the course focuses on transformer architecture, the backbone of modern LLMs, and compares it with other architectures to highlight key innovations. We'll guide you through the methodologies of pre-training and fine-tuning LLMs, emphasizing transfer learning and domain-specific adaptation. By the end of the course, you'll have the skills to create and apply language models effectively, making you a strong candidate for roles in natural language processing, machine learning, and data science. Come aboard our dynamic course, where you'll dive into practical applications of language models and supercharge your AI career!

What's included

3 videos

3 videosβ€’Total 22 minutes
  • LLM Learning Path - Craft Your Language Model Success with H2O.ai!β€’2 minutes
  • Demystifying Language Models : A Beginners Guideβ€’9 minutes
  • Unlocking Language Models : From Basics to Advanced LLMsβ€’11 minutes

What's included

2 videos

2 videosβ€’Total 26 minutes
  • Transformers: The Heart of Large Language Modelsβ€’17 minutes
  • Fine-Tuning Transformers for Specific Tasksβ€’9 minutes

What's included

1 video

1 videoβ€’Total 12 minutes
  • Unlocking the Power of LLM Architecture: Transfer Learning and Adaptationβ€’12 minutes

What's included

1 assignment

1 assignmentβ€’Total 15 minutes
  • LLM Level 1 - Quizβ€’15 minutes

Earn a career certificate

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Instructor

H2O.ai
8 Coursesβ€’2,839 learners

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Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

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. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

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.

Financial aid available,