H2O Gen AI Ecosystem Overview - Level 2

Udemy Course Rating:4.6★★★★★★★★★★

Generative AI
Enterprise h2oGPTe
H2O Cascade

Last updated 06/2025
English
Intermediate
57m · 7 lessons

Created by:

Sanyam Bhutani

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About this course

This course builds on the Level 1 overview with a deeper look at Large Language Models and practical GenAI workflows.

Learn how to work with RAG techniques, fine-tune models, prepare datasets, and evaluate performance using tools like Enterprise h2oGPTe, LLM DataStudio and the GenAI AppStore.

Led by Kaggle Grandmaster Sanyam Bhutani, the course includes Python labs, research-based materials, and guided practice using H2O.ai tools across the GenAI ecosystem.

What you'll learn

Skills you will take away

Large Language Model Fundamentals

Build understanding of how LLMs work and their role in enterprise AI applications.

RAG Implementation Techniques

Apply practical retrieval-augmented generation methods using Enterprise h2oGPTe.

Fine-Tuning with LLM DataStudio

Configure and train language models using H2O's specialized fine-tuning platform.

Course playlist on YouTube

7 lessons, start to finish

Pick a lesson to play it here. Watch in order, then take the quiz.

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Welcome to our hands-on GenAI LLM training! Dive into the entire life cycle of Large Language Models (LLMs) with practical exercises. From foundational concepts to advanced topics like RAG with LLMs, dataset prep, model fine-tuning, and app creation, we've got you covered. Explore each step with Python notebooks and interactive exercises. Whether you're new or experienced, this course equips you with valuable insights and skills for mastering GenAI tech. Join us!

Quiz Me if You Can!

Resources

Additional course resources and access links

Access Course SlidesVia GitHub Repository Watch the CourseVia YouTube1 hour 4 mins

Your instructors

Taught by the people who build and deploy it

Sanyam Bhutani
Former Senior Data Scientist
Sanyam Bhutani is a Machine Learning Engineer and AI Content Creator at H2O.ai. He is also an inc42, Economic Times recognized Machine Learning Practitioner. (link to the interviews: inc42, Economic Times) Sanyam is an active Kaggler where he is a Triple Tier Expert, ranked in Global Top 1% in all categories as well as an active AI blogger on the medium, Hackernoon (Medium Blog link) with over 1 Million+ Views overall. Sanyam is also the host of Chai Time Data Science Podcast where he interviews top practitioners, researchers, and Kagglers. You can follow him on Twitter or subscribe to his podcast.

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