Essentials of AI and Cloud – w7122gwpl
Course #: w7122gwpl
Duration: 0.8 Hours
This short course aims to serve as a no-frills introduction to the essential concepts in Artificial Intelligence and cloud computing—identifying key definitions and concepts, as well as recognizing applications and use cases with an emphasis on business. Learners who complete the course will feel confident separating fact from fiction (buzzwords) in AI and Cloud, and be equipped to analyze and discuss these technologies critically.
IBM Customers and Sellers: If you are interested in investing in your training, please consider the following Individual or Enterprise Subscriptions:
- IBM Learning for Data and AI Individual Subscription (SUBR022G)
- IBM Learning for Data and AI Enterprise Subscription (SUBR004G)
- IBM Learning Individual Subscription with Red Hat Learning Services (SUBR023G)
Objectives
• Setting Up and Setting the Scene with IBM Watson Studio
• Gathering and Accessing Data for the team with IBM Watson Studio
• Prototyping with IBM Watson Studio Collaborative Notebooks
Audience
Anyone who wants to learn the tooling required to perform Data Science in an enterprise environment.
Prerequisites
None
Topics
Setting Up and Setting the Scene with IBM Watson Studio
• Describe the use case
• List the steps in the Data Science workflow
• Add Watson Studio as a service from an existing IBM Cloud account
Gathering and Accessing Data for the team with IBM Watson Studio
• Create a project in Watson Studio
• Invite collaborators and assign permissions
• Add data to the project from a local file
Prototyping with IBM Watson Studio Collaborative Notebooks
• Open a notebook with their desired environment
• Generate code to import data in the notebook
• Save notebook versions
• Share a notebook
• Describe the steps in the Data Science workflow