Master H2O's Generative AI Platform: A Deep Dive into AI/ML

What you will learn:

Master H2O's Generative AI Platform
Build and Deploy Advanced AI/ML Solutions
Fine-tune Language Models for Specific Tasks
Optimize LLM Performance Through Rigorous Evaluation
Efficient Data Preparation for AI/ML Projects
Leverage H2O GPTe for Advanced Applications
Utilize the GenAI AppStore for Innovative Solutions
Implement Retrieval Augmented Generation (RAG) Techniques
Real-time Monitoring and Deployment Strategies
Understand the Fundamentals of Large Language Models

Description

Elevate your AI and machine learning skills with this advanced H2O GenAI course. Led by Kaggle Grandmaster Sanyam Bhutani, this comprehensive program goes beyond the basics, providing a deep dive into the tools, techniques, and best practices for leveraging H2O's cutting-edge generative AI platform. You'll master data preparation, advanced model training, deployment strategies, and real-time monitoring, gaining hands-on experience with powerful LLMs and the H2O GPTe. This course is ideal for both aspiring and experienced data scientists seeking to harness the full potential of H2O's generative AI capabilities for building and deploying sophisticated AI/ML solutions. Learn to fine-tune language models, evaluate performance effectively, and navigate the GenAI AppStore for innovative solutions. Join us and transform your AI/ML projects!

This course provides in-depth instruction on efficient data preparation, advanced model training, strategic deployment, and real-time monitoring to cover all features of H2O's generative AI platform. The structured modules guide you through mastering cutting-edge technologies to streamline workflows and optimize AI/ML processes. Whether you're a beginner or experienced practitioner, this course equips you with the essential skills to effectively utilize the GenAI ecosystem. The practical, informative content, delivered by a Kaggle Grand Master, ensures a superior learning experience.

Curriculum

Introduction: Foundations & Hands-on with LLMs

This introductory section lays the groundwork for understanding and working with Large Language Models (LLMs) within the H2O GenAI ecosystem. The "Mastering GenAI LLMs: Hands-On Training Guide" lecture provides practical, step-by-step instruction, complemented by the theoretical understanding offered in "Understanding the Foundations of Large Language Models." These modules ensure a strong base for subsequent advanced topics.

Practical Applications & Techniques

This section delves into the practical application of GenAI tools. "Practical RAG Techniques: Interacting with Enterprise H2O GPTe" explores Retrieval Augmented Generation techniques and their implementation using H2O's GPTe. "GenAI AppStore: Your Gateway to Innovative Solutions" guides you through the resources and pre-built applications available to accelerate your projects.

Advanced Techniques & Best Practices

Here, you will master advanced techniques and best practices. "A Comprehensive Guide to Fine-Tuning Language Models" equips you with the skills needed to tailor LLMs to specific tasks. "Mastering Dataset Preparation: Techniques and Best Practices" covers crucial data preparation for optimal model performance. Finally, "Mastering LLM Evaluation: Metrics and Methodologies" teaches you how to rigorously assess and improve your models' performance.

Course Completion Assessment

The final section consists of a comprehensive quiz, "Ecosystem Overview - Level 2 Quiz," designed to test your knowledge and understanding of the concepts and techniques covered throughout the course. This ensures you've grasped the key skills and knowledge presented.