Congratulations!

1. Congratulations!

You made it to the end. Congratulations. You covered a lot in this course, so let's look back at what you did. In the first module, I introduced you to the structure of conversational apps that can be built on structured and unstructured data, and I showed you the power that these apps unlock for non-technical users in an organization when they're paired with an LLM. You learned a lot about the information architecture of conversational data apps and all of the different data sources that they can use. Then, you moved on to the specifics. In module 2, you learned how to find answers from unstructured data using RAG and Cortex Search. You learned how the addition of Cortex Search in your RAG increases the accuracy of the LLM's generation, and how this can provide easier user access to an organization's unstructured data. You built a RAG app that answers questions asked in natural language using unstructured data and paired this all with a Streamlit front-end to make an easy user interface that can be deployed. In this module, you learned how to ask questions of structured data with Cortex Analyst, and you built a text-to-SQL application paired with Table Augmented Generation that allows users to ask questions and receive answers in natural language. These answers are backed up by valid and executable SQL of the organization's structured data using Table Augmented Generation. You finished off this module by building a conversational Streamlit app front-end that uses tag, which ensured a high level of accuracy so users can more easily question their data with confidence. The initial effort you've made here frees up time that you previously spent manually creating bespoke queries for users, and this effort has also opened up the entire data volume to extract value from. Agentic AI really is a game changer. All told, you've completed a lot. Congratulations, you successfully completed the course. You invested the time and you built apps that talk to structured and unstructured data using rag and tag. This opens the door to faster decision-making and lower levels of frustration, and this is just the beginning. This space is changing really fast, and you need a way to keep up. Thankfully, we can help you. Stay tuned for future courses that you can take to continue to expand your expertise and skill set so you can stay ahead in the rapidly evolving space. Thank you for taking the time to take this course. As I said at the beginning, I'm very passionate about this space, and I love to share what I have learned with others so we can grow the community. The more of us in this space, the better. I hope you got something out of this. Well, actually, I hope you got a lot out of this. Thanks so much. If you enjoyed this course, I would like to recommend the other Snowflake courses that are available. I'm sure you'll love them.

2. Let's practice!

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