Description
Course on IBM watsonx.governance: Govern Predictive AI Models
Mode: Online and in-person
Duration in days: 1
Target Audience:
Data Analysts, Data Scientists, Business Analysts, and Researchers
Desired Prerequisites:
The learner prerequisite skills and knowledge include:
- Experience working in a browser
- Working knowledge of electronic mail including basic mail, calendar, and address book tasks
- Some experience using word processing, presentation, and spreadsheet programs
- Experience working in browser.
- Basic knowledge of machine learning and data science.
- Familiarity with IBM watsonx products would be helpful
- Basic knowledge of the data science process
- Basic knowledge of Jupyter Notebooks, APIs, SDKs and Python.
Course Agenda
- Introduction
- Module 1: Create a predictive model
- Module 2: Deploy a predictive model
- Module 3: Evaluate a predictive model
- Epilogue
Instructors specialized in IBM, Red Hat, SUSE and Canonical
At SIXE, the quality of our training is reflected in the experience and knowledge of our instructors. Each IBM course is taught by highly qualified and certified professionals. Among our instructors, we have IBM Champions with years of industry experience and a deep understanding of IBM technologies and solutions. Our instructors not only possess advanced theoretical knowledge but also significant practical experience of more than 15 years in the development and implementation of solutions in real enterprise environments.
Our experts are committed to educational excellence and offer personalized training to address the specific challenges faced by participants. Each session is enriched with practical case studies and real-life examples, ensuring that the knowledge acquired is directly applicable in the workplace.