slipsibm / sko-tech-academy

SKO Tech Academy - CP4BA

2022 SKO Tech Academy - Business Automation

1. Goal

The general aim of this advanced training is to make the technical sellers PoT/PoC ready for the portfolio. At the end of this training, the technical sellers should be able to take a customer problem, use their knowledge of the portfolio, then plan, define and execute the PoC/PoT using the components in the portfolio.

2. Statement of Approach

Attendees are expected to grow deep skills across the CP4BA portfolio including RPA and Process Mining.  Each attendee will be placed in teams with a mix of capability specific skills and are expected to select labs that will build their capability skills where they need the most depth. 

3. Learning Objectives

After this event, tech sellers should be able to do a POC targeting a customer use case.

• Individually, install CP4BA starter pattern (advanced attendees to use production pattern)
• As a team:
  • Deploy seven prebuilt artifacts (ADS, Workflow, etc...) on a cluster
  • Integrate and test deployed artifacts
  • Rebuild selected artifacts (ADS, Workflow, etc...), likely one capability per team member
  • Learn how to effectively demonstrate the client onboarding demo that spans across the Cloud Pak for Business Automation (CP4BA)

All the content is visible as a BOOK format here.

Building this booklet locally

The content of this repository is written with markdown files, packaged with MkDocs and can be built into a book-readable format by MkDocs build processes.

1. Install MkDocs locally following the official documentation instructions.
2. Install Material plugin for mkdocs: pip install mkdocs-material
3. git clone https://github.com/thomasyang44/sko-tech-academy (or your forked repository if you plan to edit)
4. cd sko-tech-academy
5. mkdocs serve
6. Go to http://127.0.0.1:8000/sko-tech-academy in your browser.

Building this booklet locally but with docker

In some cases you might not want to alter your Python setup and rather go with a docker image instead. This requires docker is running locally on your computer though.

• docker run --rm -it -p 8000:8000 -v ${PWD}:/docs squidfunk/mkdocs-material
• Go to http://127.0.0.1:8000/ in your browser.

Automatic deployment on github

This project includes a .github folder to define a git action workflow to build the pages when content is pushed to github.

Contributors

• Lead content developer Gerry Baird
• Lead content developer Thomas Yang