Udemy – H2O Gen AI Ecosystem Overview – Level 2 2024-7

Udemy – H2O Gen AI Ecosystem Overview – Level 2 2024-7 Downloadly IRSpace

Udemy – H2O Gen AI Ecosystem Overview – Level 2 2024-7
Udemy – H2O Gen AI Ecosystem Overview – Level 2 2024-7

H2O Gen AI Ecosystem Overview Course – Level 2. In this course, you will learn about the advanced aspects of H2O’s GenAI platform. This course provides a comprehensive and in-depth survey of the specific tools, applications, and methods of Artificial Intelligence (AI) and Machine Learning (ML) in the H2O ecosystem.

This course will help you gain advanced skills in data preparation, advanced model training, deployment strategies, and real-time monitoring solutions. By completing this course, you will be able to use H2O’s innovative technologies to simplify work processes and optimize your AI and machine learning projects.

What you will learn:

  • A comprehensive understanding of the GenAI ecosystem
  • Practical mastery of artificial intelligence and machine learning work processes
  • Expertise in fine-tuning language models
  • Evaluation and optimization of large language models

This course is suitable for people who:

  • Data scientists and analysts
  • Artificial intelligence and machine learning engineers
  • Software engineers
  • Business analysts and decision makers

Specifications of H2O Gen AI Ecosystem Overview – Level 2 course

  • Publisher:  Udemy
  • Lecturer:  H2O.ai University
  • Training level: beginner to advanced
  • Training duration: 56 minutes
  • Number of courses: 7

Course headings

 H2O Gen AI Ecosystem Overview - Level 2

Course prerequisites

  • Basic Knowledge of AI and ML Concepts.
  • Understanding of Data Science Principles.
  • Familiarity with Programming Languages.
  • Access to a Computer with Internet.

Course images

H2O Gen AI Ecosystem Overview - Level 2

Sample video of the course

Installation guide

After Extract, view with your favorite Player.

Subtitle: English

Quality: 720p

download link

Download file – 794 MB

File(s) password: www.downloadly.ir

File size

794 MB