Live instructor-led training
IBM watsonx.governance: Govern Predictive AI Models W7L172G...
- CMDBID 1001858
- Course Code W7L172G
- Duration 1 Days
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Course content
What you will learn
Overview
IBM watsonx.governance: Govern Predictive AI Models W7L172Gis a practical training course for teams that need structured, instructor-led skills in IBM, Govern Predictive, Models W7L172G Introduction Module. CourseMonster has rewritten this summary to make the page clearer for learners, managers and search engines while preserving the key learning outcomes.
In this course, the learner is guided through a realistic scenario of governing the predictive models of a data science project during their lifecycle. The project focuses on creating machine learning models that can be used for mortgage loan approvals, where decisions highly influence both individuals and organizations. The narrative is driven by Anna Parker Sr. Product manager of a financial institution in charge of mortgage approval and Sr Data Scientist, Sara Man that guides the learner who assumes the persona of a Jr. Data Scientist, Leo Meep through the usage of IBM watsonx.governance to detect bias and monitor their deployed machine learning models for drift in their selected metrics.
The course educates the learner in IBMa C TMs fundamental pillars of trustworthy AI such as explainability, fairness, and transparency and guides the learner through hands-on exercises using the graphical user interface, in creating machine learning models, tracking the model lineage, enriching the model with metadata previously known as AI Factsheets, and exploring the fundamental pillars of trustworthy AI using watsonx.governance. The learner deploys and monitors the model for drift using the graphical user interface of Watson OpenScale.
. Explore more IBM traininghereUseful links: IBM Training | Project Management training at CourseMonster | CourseMonster course page
CourseMonster SEO course note: IBM watsonx.governance: Govern Predictive AI Models W7L172G Training Course | CourseMonster has been positioned as a practical IBM learning pathway for teams that need searchable, role-based training outcomes rather than a generic course description. The page now highlights IBM, watsonx.governance, Govern, Predictive, Models, certification readiness, workplace application and visible next-step links so learners can compare this course with related CourseMonster programmes.The course is listed as 1 day(s), making it suitable for structured team scheduling.It is especially relevant for who should attend professionals who need practical knowledge of ibm watsonx.governance: govern predictive ai models w7l172g technical, project, service management or business teams responsible for applying the topic at w
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Audience
Who should attend
- Professionals who need practical knowledge of IBM watsonx.governance: Govern Predictive AI Models W7L172G
- Technical, project, service management or business teams responsible for applying the topic at work
- Managers planning team capability uplift or certification pathways
Skills Gained
After completing this course, the learner will be able to:
- Define the terms governance, bias, fairness, risk, lineage, metadata
- Explain the importance of AI governance
- Distinguish between data governance vs AI governance
- Create an AI use case and associate with an AI model
- Build a deployment space and deploy a predictive AI model
- Evaluate an AI model for drift, bias and fairness using the Insights dashboard
- Choose and configure metrics for an AI model and introduce evaluation data
- Examine model transactions for fairness and explainability
Useful links: IBM Training | Project Management training at CourseMonster | CourseMonster course page
Additional workplace outcomes: Participants can explain where IBM watsonx.governance: Govern Predictive AI Models W7L172G Training Course | CourseMonster fits in a wider IBM skills roadmap, identify related certifications or follow-on courses, and apply the concepts to real project, operations or service delivery scenarios.
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.
Outline
- Introduction
Module 1: Create a predictive model
Module 2: Deploy a predictive model
Module 3: Evaluate a predictive model
- Epilogue
Useful links: IBM Training | Project Management training at CourseMonster | CourseMonster course page
Suggested learning path: After this course, compare related options via the links in the overview and the IBM training category.
Certification
Exam and certification details
This course may support a vendor exam, digital badge or professional certification depending on the selected delivery option. Delegates should confirm exam inclusion, voucher availability, prerequisites, pass mark and version before booking.
Official vendor training information: IBM Training.
Is IBM watsonx.governance: Govern Predictive AI Models W7L172G right for me?
This course is for learners who want structured, expert-led training in professional development with practical workplace outcomes.
What will I learn on IBM watsonx.governance: Govern Predictive AI Models W7L172G?
You will build practical professional development skills, understand key concepts and apply the course outcomes in real workplace scenarios.
Does IBM watsonx.governance: Govern Predictive AI Models W7L172G include exam preparation?
Yes, this course supports certification or exam preparation where included in the selected delivery option.
What should I do after IBM watsonx.governance: Govern Predictive AI Models W7L172G?
Compare related CourseMonster courses and follow-on pathways to choose the best next step for your role or team.
Talk to an expert
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If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. Its a cost effective option. One on one training can be delivered too, at reasonable rates.
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