VOOZH about

URL: https://www.coursera.org/learn/h2o-ai-large-language-models-llms-level-3

⇱ H2O ai Large Language Models (LLMs) - Level 3 | Coursera


H2O ai Large Language Models (LLMs) - Level 3

Ends soon! Keep adding new skills with 10,000+ programs for $239 (usually $399). Save now.

H2O ai Large Language Models (LLMs) - Level 3

Included with

β€’

Learn more

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

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

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

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

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.

Details to know

Shareable certificate

Add to your LinkedIn profile

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 7 modules in this course

Building on the foundational knowledge from LLM Level 2, this advanced course, Large Language Models - Level 3 is designed to deepen your expertise in using H2O ai's cutting-edge Generative AI tools and techniques.

Guided by a team of AI experts including Sanyam Bhutani, Rob Mulla, and Andreea Turcu, the course begins with an in-depth exploration of the H2O ai Generative AI ecosystem, highlighting essential tools like h2oGPT, H2O LLM EvalGPT, and key GenAI components. You will learn how to create your custom h2oGPT models, effectively use various evaluation techniques to assess model performance, and understand the functionalities of LLM EvalGPT. Additionally, you will analyze the elements of the H2O ai GenAI Ecosystem to streamline and enhance your AI workflows. By the end of this course, you will have the knowledge and confidence to apply these advanced tools and techniques to your business scenarios, making your AI projects more efficient and impactful. This course is ideal for AI and data science professionals, machine learning engineers, researchers, and business professionals looking to advance their skills in generative AI. Upon successful completion, you will earn the LLM Level 3 Certification, demonstrating your proficiency in using H2O ai tools for the above mentioned variety of generative AI tasks. This certification is a valuable asset for your career in AI and data science.

What's included

2 videos

2 videosβ€’Total 14 minutes
  • Class Intro - Make Your own GPT - What to expectβ€’1 minute
  • Essential Factors for Building GPT with h2oGPTβ€’13 minutes

What's included

2 videos

2 videosβ€’Total 49 minutes
  • Unleashing the Power of h2oGPTβ€’33 minutes
  • 100% Offline ChatGPT Alternativeβ€’16 minutes

What's included

1 video

1 videoβ€’Total 10 minutes
  • Hands-On Workshop - Fine-tune with H2O LLM Studioβ€’10 minutes

What's included

2 videos

2 videosβ€’Total 4 minutes
  • Make Your own GPT - Assignmentβ€’1 minute
  • Make Your own GPT - Solution to Assignmentβ€’3 minutes

What's included

1 video

1 videoβ€’Total 11 minutes
  • Diving into LLM EvalGPT/ Assessing Metric Evaluationsβ€’11 minutes

What's included

1 video

1 videoβ€’Total 17 minutes
  • H2O Generative AI Ecosystem Overviewβ€’17 minutes

What's included

1 assignment

1 assignmentβ€’Total 15 minutes
  • LLM Level 3 - Quizβ€’15 minutes

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

H2O.ai
8 Coursesβ€’2,839 learners

Explore more from Machine Learning

Why people choose Coursera for their career

πŸ‘ Image

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."
πŸ‘ Image

Jennifer J.

Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
πŸ‘ Image

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."
πŸ‘ Image

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."

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,