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1.
Getting Started
Self-paced Workshop
A.
Create an AWS account
B.
Obtain an IBM Cloud Pak for Data trial license
C.
Red Hat OpenShift Container Platform Trial
D.
Service Instances Provisioning
E.
Infrastructure Provisioning & Setup
AWS Event
AWS Workshop Portal
2.
Infra Provisioning Lab
Start Here
3.
Trusted AI Lab
Overview
Introduction
A.
Architecture Diagram
B.
Featured Technologies
C.
Included Components
D.
IBM-AWS Better Together
B.
Know more about the Notebooks
E.
Watch the Video
Pre-requisites
Start the lab
1. Build Predictive models in SageMaker
2. Create projects in Watson Studio
3. Upload the SageMaker notebooks into Watson Studio project
4. Run the notebooks in Watson Studio to generate predictions and endpoints
5. Setup Watson Open Scale for monitoring SageMaker endpoints
6. Monitor SageMaker endpoints using Watson Open Scale
7. Visualization
7.1. Setup Data Source & Cognos Embedded Dashboard
7.2. Insights from Cognos Embedded Dashboard
Summary
License
4.
Governance Lab
Introduction
A.
Reference Architecture
B.
Use Cases
C.
Featured Technologies
D.
Included Components
E.
IBM-AWS Better Together
F.
Watch the Video
Start the lab
1. Data Virtualization Lab
2. Data Integration (ETL) Lab
3. Data Cleansing & Reshaping Lab
4. Data Governance Lab
Summary
5.
Visualization & Insights Lab
Introduction
A.
Reference Architecture
B.
Use Cases
C.
Featured Technologies
D.
Included Components
E.
IBM-AWS Better Together
F.
Watch the Video
Start the lab
1. Launch IBM Cognos Analytics
2. Connect to AWS Aurora Postgres DB
3. Connect to Data virtualization data source
4. Create a data module for Risk index and PII dashboard
5. Create a data module for Data virtualization source
6. Create and visualize IBM Cognos Analytics dashboard
7. Showcasing the AI capabilities of Cognos Analytics
6.
Low/No Code ML Lab
Introduction
A.
Reference Architecture
B.
Use Cases
C.
Featured Technologies
D.
Included Components
E.
IBM-AWS Better Together
Start the lab
1. Setup a project in Cloud Pak for Data
2. Code Approach
2.1. Run LSTM Notebook 1
2.2. Run LSTM Notebook 2
2.3. Run Decision Tree Notebook
3. Visualization
3.1. Setup Cognos Embedded Dashboard
3.2. Analyze Cognos Embedded Dashboard
4. No Code Approach
4.1. Build and Deploy model with AutoAI
4.2. Configure SAM
4.3. RI-Prediction App
Summary
7.
Conclusion
Cleanup
More
AWS Marketplace: IBM Data & AI
IBM Cloud Pak for Data Documentation
Modernization Workshops
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IBM Cloud Pak for Data (CP4D) on AWS Modernization Workshop
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Lab-2 Demo
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