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Data Science and Machine Learning with H2O.ai Platforms
Coursera
Course
Unknown

Data Science and Machine Learning with H2O.ai Platforms

H2O.ai

Learn to use H2O’s advanced tools for data preparation, machine learning automation, and model deployment, focusing on efficient workflows and strategic analysis.

Unknown5 weeksArabic, German, English, French

About this Course

Master Data Science Workflows with H2O: From Prep to Deployment & Generative AI with Michelle Tanco and Jon Farland! This course equips you with H2O's suite of cutting-edge tools, such as Driverless AI, H2O Actions, the Wave App, Gen AI AppStore, LLM DataStudio, H2O LLMStudio, Enterprise GPTe, h2oGPT, and Eval Studio. In this comprehensive course, you will develop a thorough understanding of data preparation and visualization using H2O's intuitive tools, enabling you to efficiently clean, transform, and explore data to uncover actionable insights without the traditional complexities of data wrangling. Dive deep into automated machine learning mastery with Driverless AI, leveraging its automation capabilities to streamline model building processes, allowing you to focus on strategic analysis and solving complex problems effectively. Gain expertise in seamless model deployment techniques, ensuring that your models translate into impactful business outcomes with ease and efficiency. Explore the best of what generative AI has to offer with Enterprise GPTe and H2OGPT, where you will delve into advanced tasks such as text generation, language translation, and creative content development, empowering you to innovate and excel in data science and business decision-making. Join us on this transformative journey to elevate your skills and harness the full potential of H2O's tools for driving data-driven insights and strategic business success. Come aboard our dynamic course and elevate your data science skills!

What You'll Learn

  • Develop project planning skills focusing on goals and resource management
  • Prepare, clean, and visualize data using H2O tools
  • Master model deployment and performance monitoring techniques

Prerequisites

  • Basic familiarity with relevant terminology
  • Willingness to practice through applied exercises or case studies

Instructors

H

H2O.ai University

Training and Certification

Topics

Data Management
Information Technology
Machine Learning
Data Science
Project Planning
Feature Engineering
MLOps (Machine Learning Operations)
Model Deployment
Large Language Modeling
AI Enablement

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

إدارة البيانات
تكنولوجيا المعلومات
التعلّم الآلي
علوم البيانات
تخطيط المشاريع
هندسة الميزات
تشغيل التعلم الآلي
نشر النماذج
Large Language Modeling
AI Enablement

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