Packt
Mastering AI Agents for Databases
Packt

Mastering AI Agents for Databases

包含在 Coursera Plus

深入了解一个主题并学习基础知识。
中级 等级

推荐体验

5 小时 完成
灵活的计划
自行安排学习进度
深入了解一个主题并学习基础知识。
中级 等级

推荐体验

5 小时 完成
灵活的计划
自行安排学习进度

您将学到什么

  • Build and deploy AI agents for CSV and SQL databases with customized workflows.

  • Utilize OpenAI’s function calling to streamline database interactions.

  • Create user-friendly interfaces for AI agents using tools like Streamlit.

  • Leverage Assistants API to design robust solutions for database querying.

要了解的详细信息

可分享的证书

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作业

9 项作业

授课语言:英语(English)

了解顶级公司的员工如何掌握热门技能

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有10个模块

In this module, we will introduce the course by outlining its key objectives and the essential prerequisites required to ensure your success. You'll gain a clear understanding of the learning journey ahead and prepare yourself for mastering AI agents for databases.

涵盖的内容

2个视频1篇阅读材料

In this module, we will guide you through setting up your development environment, ensuring you have the right tools and configurations to participate effectively in the course. By the end of this section, your environment will be fully operational and ready for practical exercises.

涵盖的内容

1个视频1个作业

In this module, we will delve into the core principles and operations of AI agents, providing an in-depth understanding of their design and functionality. You'll also discover various real-world use cases, highlighting their transformative impact across industries.

涵盖的内容

2个视频1个作业

In this module, we will guide you through the process of building and running your first AI agent, starting with an introduction to LangChain. You’ll gain hands-on experience with AI agent workflows and consolidate your knowledge with a comprehensive section summary.

涵盖的内容

4个视频1个作业

In this module, we will explore the creation of CSV agents, from reading and processing CSV files to customizing and deploying them. You’ll also learn to enhance user experience by adding a Streamlit-based interface and conclude with a summary of the key concepts covered.

涵盖的内容

6个视频1个作业

In this module, we will guide you through building SQL database agents, starting from constructing an SQL database from CSV files to interacting with it using an AI agent. You'll also learn how to enhance the agent with Streamlit and refine it through extensive query testing, concluding with a summary of the section.

涵盖的内容

5个视频1个作业

In this module, we will explore the concept of OpenAI function calling and its application in SQL databases. You'll learn to create function calls, understand the workflow, and interpret the results, enabling you to enhance database interactions with cutting-edge AI capabilities.

涵盖的内容

3个视频1个作业

In this module, we will focus on integrating function calling with database AI agents, from initial setup to testing and applying the OpenAI function calling feature with SQL databases. By the end, you’ll have a comprehensive understanding of how to use this feature to streamline and automate database operations.

涵盖的内容

4个视频1个作业

In this module, we will explore the OpenAI Assistants API, detailing its use in SQL database operations. Through hands-on demonstrations, you'll learn to create an Assistant API and use it to query databases, unlocking powerful AI-driven automation capabilities.

涵盖的内容

3个视频1个作业

In this module, we will review the course's journey and provide guidance on future learning opportunities. You'll gain insights into how to apply your new skills effectively and explore advanced topics to continue your development in AI and database management.

涵盖的内容

1个视频1个作业

位教师

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