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Building Your Own Database Agent

Adrian Gonzalez Sanchez

In Building Your Own Database Agent you will develop an AI agent that interacts with databases using natural language, simplifying the process for querying and extracting insights. Created in partnership with Microsoft and taught by Adrian Gonzalez Sanchez, Data and AI Specialist at Microsoft, this course is designed for developers, data professionals, as well as business analysts and professionals who want more sophisticated interaction with their databases through natural language instead of advanced SQL queries.

What you’ll do in this course:

Read more

In Building Your Own Database Agent you will develop an AI agent that interacts with databases using natural language, simplifying the process for querying and extracting insights. Created in partnership with Microsoft and taught by Adrian Gonzalez Sanchez, Data and AI Specialist at Microsoft, this course is designed for developers, data professionals, as well as business analysts and professionals who want more sophisticated interaction with their databases through natural language instead of advanced SQL queries.

What you’ll do in this course:

1. Learn about the levels of knowledge customization with Azure OpenAI Service, focusing on RAG to build your first AI agent, deploy your Azure OpenAI Service instance, test the API, and set up an orchestration engine like LangChain to enable these scenarios.

2. Load tabular data from a CSV file and perform natural language queries using the Azure OpenAI service to extract information quickly. Learn to reapply the agent to analyze your own CSV files.

3. Implement LangChain agents to connect to a provided SQL database, and how to build a DB agent that translates natural language to SQL code.

4. Use Azure OpenAI Service’s function calling feature to use pre-built functions for sending queries to databases, improving the efficiency and security of your SQL agent.

5. Work with the Assistants API and test it with the function calling and code interpreter features, which will enable you to connect to SQL databases and create your own DB agents more efficiently.

By the end of the course, you’ll be equipped with the technical knowledge and practical experience to implement similar systems in your own projects or organizations, enabling more efficient and accessible data interaction and analysis.

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What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Focuses on RAG to build an AI agent, which is a core skill for working with Azure OpenAI
Taught by Adrian Gonzalez Sanchez, a Data and AI Specialist at Microsoft, who is recognized for their work in the field
Provides hands-on experience in building a DB agent that translates natural language to SQL code
Involves deploying an Azure OpenAI Service instance and setting up an orchestration engine like LangChain, which are industry-standard tools
Improves efficiency and accessibility data interaction and analysis through the use of natural language processing
This course explicitly requires learners to come in with extensive background knowledge first

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Reviews summary

Building ai database agents with practical skills

According to students, this course provides a strong foundation for developing AI database agents, focusing on practical implementation using technologies like Azure OpenAI Service, LangChain, and RAG. Learners consistently praise the instructor's clear explanations and the hands-on activities, which bridge theory and real-world application. While the content is largely considered up-to-date and relevant, some mention challenges with the technical setup and occasional minor code issues. The course is particularly beneficial for those seeking a concise, skill-oriented approach to natural language database interaction, though some advanced users desired more depth, and beginners might need prior Python knowledge.
Covers modern and relevant AI technologies for database interaction.
"The content is up-to-date and covers cutting-edge topics."
"The content on RAG and function calling was exceptionally clear and directly applicable."
"It's a cutting-edge topic, and the course handles it well."
Instructor excels at explaining complex AI and database concepts.
"The instructor's explanations are incredibly clear, especially when tackling complex concepts like LangChain and function calling."
"Adrian's teaching style is engaging. Highly valuable for anyone working with data and looking to leverage AI."
"The instructor's delivery is top-notch, making it easy to follow along."
Focuses on real-world implementation of AI agents.
"The practical exercises in the labs were invaluable; I could immediately apply what I learned to my own projects."
"Truly practical and immediately applicable. A must-take for anyone looking to modernize data access."
"The hands-on coding and projects are the strongest part of the course for me."
Occasional minor errors or insufficient explanations in provided code.
"I found some of the code snippets provided had minor errors or weren't fully explained."
"The errors in the provided code were also a significant hindrance."
"The provided code sometimes had errors."
Some learners faced difficulties with environment and API setup.
"The technical setup was a headache. I spent too much time troubleshooting environment issues and API keys."
"More guidance on environment setup would also be helpful for true beginners."
"The instructions for setting up Azure OpenAI weren't as smooth as they could be."
Requires some prior knowledge of Python and API concepts.
"If you're not already comfortable with Python and basic API concepts, you might struggle a bit initially."
"This is not a course for true beginners... Requires strong prior knowledge of Python and AI concepts."
"The prerequisite knowledge felt a bit underspecified."
Pacing felt uneven; depth varied, better for practical intro than advanced.
"Some parts felt a bit rushed, particularly when moving between different API concepts."
"I expected more depth, especially for advanced topics... I found it lacking."
"Poorly structured for learning. The pace is inconsistent, and some explanations are superficial."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Building Your Own Database Agent with these activities:
Attend a Meetup on Database Agents
Expand your network and stay updated on the latest trends by attending a meetup.
Browse courses on Networking
Show steps
  • Find a meetup on database agents in your area.
  • Attend the meetup.
  • Network with other attendees and learn about their experiences with database agents.
Join a Study Group for Database Agents
Enhance your understanding and connect with peers by joining a study group.
Show steps
  • Find or create a study group for database agents.
  • Attend study group meetings regularly.
  • Discuss course material, share ideas, and work on projects together.
Read The Data Science Handbook
Expand your foundational understanding of data science by reading prominent literature.
View The Data Science Handbook: Advice and Insights... on Amazon
Show steps
  • Obtain the book.
  • Read the book in its entirety.
  • Take notes or highlight key sections.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Complete SQL Practice Problems
Sharpen your SQL skills by working through practice problems.
Browse courses on SQL
Show steps
  • Find online SQL practice problems.
  • Solve the practice problems.
  • Review your answers and identify areas for improvement.
Follow a Tutorial on Azure OpenAI Service
Get hands-on experience with Azure OpenAI Service by following a guided tutorial.
Browse courses on Azure OpenAI Service
Show steps
  • Find a tutorial on Azure OpenAI Service.
  • Follow the tutorial step-by-step.
  • Experiment with the code and try different scenarios.
Create a Presentation on Database Agents
Enhance your understanding of database agents by creating a presentation.
Browse courses on Natural Language Processing
Show steps
  • Gather information and research database agents.
  • Develop a presentation outline.
  • Create the presentation slides.
  • Practice presenting your presentation.
Build a Simple Database Agent
Apply your knowledge by building a simple database agent.
Browse courses on Natural Language Processing
Show steps
  • Design the database schema.
  • Implement the database agent using Azure OpenAI Service.
  • Test the database agent with different natural language queries.
Contribute to an Open Source Database Agent Project
Enhance your skills and contribute to the community by contributing to an open source database agent project.
Browse courses on Open Source
Show steps
  • Find an open source database agent project.
  • Identify an area where you can contribute.
  • Make a contribution to the project.
  • Submit a pull request.

Career center

Learners who complete Building Your Own Database Agent will develop knowledge and skills that may be useful to these careers:

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Course image
Effort
1 hour
Level
Introductory
Via
Coursera
Institution
DeepLearning.AI
Instructor
Adrian Gonzalez Sanchez
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Focuses on RAG to build an AI agent, which is a core skill for working with Azure OpenAI
Taught by Adrian Gonzalez Sanchez, a Data and AI Specialist at Microsoft, who is recognized for their work in the field
Provides hands-on experience in building a DB agent that translates natural language to SQL code
Involves deploying an Azure OpenAI Service instance and setting up an orchestration engine like LangChain, which are industry-standard tools
Improves efficiency and accessibility data interaction and analysis through the use of natural language processing
This course explicitly requires learners to come in with extensive background knowledge first
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