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IBM watsonx Foundations – w7s169gspl

Course #: w7s169gspl

Duration: 3.2 Hours

In this course, you learn how watsonx might help you to put AI to work in your business. You follow the story of Erik, the AI specialist, who works for a large health products company, and learn the benefits and capabilities of watsonx. You explore the bases of watsonx, such as foundation models and data lakehouses, supported by querying, governance, and open data formats to access and share data. The course concludes with a hands-on exercise creating prompts in the Prompt Lab.

Objectives

  • Describe the role of the watsonx platform in accelerating the impact of AI.
  • Explain the components of watsonx.
  • Differentiate between large language models, foundation models, and generative AI.
  • Discuss the benefits of an open lakehouse architecture.
  • Describe the need for governance of AI activities and artifacts.
  • Explain prompt engineering.

Audience

This course is intended for data scientists, AI specialists, watsonx specialists, solution architects, or anyone interested in gaining basic knowledge of foundation models and generative AI with IBM watsonx.

Prerequisites

None

Topics

  • Introduction
  • IBM watsonx - An AI and data platform
  • IBM watsonx.ai - An AI studio
  • IBM watsonx.data - A fit for purpose data store
  • IBM watsonx.governance - A toolkit for AI governance
  • Prompt engineering with watsonx.ai prompt builder
  • Review and Evaluation

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