Build your Copilot on your own data part - 2

Welcome to a comprehensive guide on building your own AI-powered copilot, tailored to interact with your private data! In this tutorial, we dive deep into creating a personalised copilot that can navigate, analyse, and engage with your data in a Jupyter notebook environment. Whether you're a data scientist, a developer, or someone curious about leveraging AI for data interaction, this video is crafted to empower you with the tools and knowledge needed to bring your data interactions to the next level.

What You Will Learn:

Introduction to AI-Powered Copilots:
Understand the concept of an AI copilot and its potential to transform your data interaction experience.
Explore how AI copilots can assist you in analysing and querying data efficiently.

Using Templates for Questions and Data:
Learn how to utilize templates in Jupyter notebooks to structure questions and responses for your AI copilot, making it understand and work with your private data seamlessly.

Step-by-Step Guide Using Azure AI Studio:
Walkthrough of Azure AI Studio's environment, focusing on the Components Playground, Data, and Indexes, showcasing how to use these features to build your copilot with minimal coding required.
Understand how each component contributes to the functionality and efficiency of your AI copilot.

Deployment to WebApp Using Azure AI Studio:
Discover how to take your AI copilot from a notebook to a fully functional web application using Azure AI Studio's deployment capabilities.
Learn about the no-code and minimal code approaches to deployment, ensuring you can bring your copilot to life regardless of your coding proficiency.

Live Demonstration and Examples:
Watch a live demonstration of building an AI copilot from scratch to deployment.
See real-life examples of how the AI copilot interacts with different types of data and queries.

Why This Tutorial?

*No-Code to Low-Code Approach: *Specifically designed for individuals at any coding skill level, focusing on maximising Azure AI Studio's capabilities without the need for extensive coding.

*Hands-On Experience: *Offers a practical, step-by-step approach that you can follow along with your data and scenarios.

Real-World Applications: Demonstrates the application of an AI copilot in real-world scenarios, providing insights into its potential impact on your projects or organization.

Who Should Watch?
Data Scientists and Analysts looking to augment their data exploration capabilities.
Developers interested in AI and machine learning, seeking to integrate AI copilots into their applications.
Business Professionals and Decision-Makers exploring AI solutions for data-driven insights.
Educators and Students in the field of computer science or data science, looking for cutting-edge examples of AI in action.

Additional Resources:
Azure AI Studio https://learn.microsoft.com/en-us/azu...
Microsoft AI https://www.microsoft.com/en-us/ai
RAG https://learn.microsoft.com/en-us/azu...

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