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IBM watsonx.ai with RAG and LangChain
Course Description
Overview
In this course, you learn how watsonx.ai might help you to put AI to work in your business. You explore the foundation models supported in watsonx.ai and improve your prompt engineering skills. You experiment with prompt tuning and seek to understand when to use it over prompt engineering. You explore the LangChain framework that helps you build AI applications based on foundation models. Lastly, you solve several use cases, such as RAG (Retrieval Augmented Generation) and summarization. The course has a large practical component with hands-on exercises on prompt engineering, prompt tuning, and the solving of several use cases with the tools and techniques described in this course.
Objectives
After completing this course, you should be able to:
- Differentiate between the various foundation models available in the Prompt Lab.
- Demonstrate the benefits of prompt tuning over prompt engineering.
- Describe the Retrieval Augmented Generation (RAG) architecture and use case.
- Implement Jupyter Notebooks with Python code calling the Watson Machine Learning API to solve Generative AI problems,
- Experiment with the LangChain framework.
- Solve RAG, classification and text generation use cases.
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.ai.
Topics
- Introduction
- Foundation Models
- Prompt Engineering versus Prompt Tuning
- Retrieval Augmented Generation (RAG)
- The LangChain Framework
- Review and Evaluation
Recognition
When you complete the Instructor-Led version of this course, you will be eligible to earn a Training Badge that can be displayed on your website, business cards, and social media channels to demonstrate your mastery of the skills you learned here.
Learn more about our Badge Program →
This course is eligible for the watsonx.ai with RAG and LangChain - Code: W7L171G
Need Help?
Call us at 877-206-0106 or e-mail us at info@learnquest.com
Self-Paced Training Info
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- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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