Descriptions
Build with AI: SQL Agents with Large Language Models, In this course, learn how AI SQL agents work and how to build an agent from scratch. Get started with the general architecture of an SQL agent and then delve into its various components. Instructor Rami Krispin shows you how to design a prompt engine and work with different LLM frameworks, such as OpenAI GPT 4.1, Google Gemini Flash 2.0, and Anthropic Cloud 4, using the Python client. Last but not least, Rami guides you through the essentials of building your own AI agent component from scratch using Python. This course is integrated with GitHub Codespaces, an instant cloud development environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace.
What you’ll learn
- Understand the architecture and components of AI SQL agents.
- Design prompt engines and integrate with various LLM frameworks.
- Build SQL agents from scratch using Python.
- Work with OpenAI GPT 4.1, Google Gemini Flash 2.0, and Anthropic Cloud 4.
- Practice hands-on in GitHub Codespaces without local setup.
Who this course is for
- Developers and data scientists interested in building AI-powered SQL agents.
- Python programmers seeking hands-on experience with LLM frameworks.
- Anyone looking to automate SQL workflows using AI agents.
- Learners who want to practice in a cloud-based development environment.
Specificatoin of Build with AI: SQL Agents with Large Language Models
- Publisher : Linkedin
- Teacher : Rami Krispin
- Language : English
- Level : All Levels
- Duration : 1 hours and 6 minutes
Content of Build with AI: SQL Agents with Large Language Models
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Subtitle : English
Quality: 720p
Download Links
Downloadly
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Password file(s): www.downloadly.ir
File size
104 MB
