Free Download Ecosystem Overview - Level 2
Published 7/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 56m | Size: 777 MB
Master H2O's GenAI Platform: Deep Dive into AI and ML Tools.
What you'll learn
Comprehensive Understanding of GenAI Ecosystem.
Hands-On Proficiency in AI and ML Workflows.
Expertise in Fine-Tuning Language Models.
Evaluation and Optimization of Large Language Models.
Requirements
Basic Knowledge of AI and ML Concepts.
Understanding of Data Science Principles.
Familiarity with Programming Languages.
Access to a Computer with Internet.
Description
Expand your understanding of H2O's GenAI platform with the Ecosystem Overview - Level 2 course, presented by H2O's very own Sanyam Bhutani! This course provides an in-depth comprehensive exploration of the tools, applications, and methodologies tailored for artificial intelligence (AI) and machine learning (ML) within the H2O ecosystem. You will delve deeper into efficient data preparation techniques, advanced model training, deployment strategies, and real-time monitoring solutions, covering the full spectrum of all the capabilities available.Through engaging modules, you will soon master the art of harnessing H2O's cutting-edge technologies to streamline workflows and optimize artificial intelligence (AI) and machine learning (ML) processes. Whether you are new to the field of AI and ML or an experienced practitioner, this course equips you with essential skills to leverage the GenAI ecosystem effectively. Sanyam Bhutani, with his extensive expertise as a Kaggle Grand Master, ensures the content is both informative and practical, enriching your learning experience.Join us to unlock the full potential of H2O's GenAI platform and propel your artificial intelligence and machine learning projects to new heights! Enroll today and gain invaluable insights that will enhance your proficiency in utilizing these powerful tools for creating and deploying advanced AI and ML solutions.
Who this course is for
Data Scientists and Analysts.
AI and ML Engineers.
Software Engineers.
Business Analysts and Decision Makers.
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