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, EvalGPT, 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

  • 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.
  • Dataset Preparation Best Practices
    Structure and prepare data effectively for training and evaluating language models.
  • Model Evaluation Methodologies
    Use H2O.ai EvalGPT and assessment frameworks to measure model performance and quality.
  • H2O GenAI Platform Navigation
    Work with GenAI AppStore, H2O.ai Wave, and integrated ecosystem tools for end-to-end workflows.

Course access

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Sanyam Bhutani, 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.