Technical Hands-On Labs: Foundations of watsonx.ai

Note - This workshop was recently updated to use the GA instance of watsonx.ai as well as the new Foundation Models module within the Watson Machine Learning Python SDK. The previous version was based on the "workbench" BAM environment, which will soon be sunset.

Completing these technical hands-on labs will take roughly 12 hours plus another 2-3 hours to complete the Apply Lessons Learned labs. You should have completed the attendee pre-requisites prior to starting.

Agenda

What Is Watsonx.ai

Time	Topic
20 mins	Technical POV on watsonx.ai Platform
10 mins	IBM's Foundation Models

Foundations of Watsonx.ai

Time	Topic
30 mins	Lab 0: Setup Your Laptop Environment
10 mins	Intro to Prompt Engineering
90 mins	Lab 1: Intro Prompt Engineering Using watsonx.ai Prompt Builder
90 mins	Lab 2: Advanced Prompt Engineering Challenge
60 mins	Lab 3: Langchain Prompt Templates
60 mins	Lab 5: watsonx.ai and Langchain
60 mins	Lab 6: Retrieval Augmented Generation (RAG) for Contextual Search
30 mins	Lab 7: watsonx.ai Demo in Streamlit

IBM Products Integrated With Watsonx.ai

Time	Topic
5 mins	Intro to Watson Code Assistant
45 mins	Lab 1: Watson Code Assistant and Ansible Lightspeed

Apply Lessons Learned (CHOOSE ONE...OR MORE)

You've made it to the end. Almost. You will now apply the new skills that you've learned to the challenges below. Select one of the challenges below and be creative. These challenges are specifically open-ended. Combine your own unique skills to extend the use case solutions provided in these challenges.

Time	Topic
1 hour	Challenge 1: Text Classification of News Articles
2 hours	Challenge 2: Multi-Turn Model Interactions
2 hours	Challenge 3: Visualize Model Conversation With Streamlit
2+ hours	Challenge 4: RAG Search of SEC 10K Filings With Streamlit

Prior Challenge Completions

Did you complete a Challenge and want to share your results. Send your Github repo link to apsteven@us.ibm.com and we'll add it to this list.

Topic	Author
Super Fast RAG With File Upload	Tyler Benson