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AI for All: Build A Complete Code Writing Agent With Golang | Udemy [Update 01/2025]
English | Size: 1.2 GB
Genre: eLearning[/center]

Build a fully functional AI code generator with the ability to generate full project

What you'll learn
Build a fully functional AI code generation agent using Go and OpenAI's API
Implement multi-language support for generating code in Go, Python, JavaScript, and Java
Create concurrent file processing with Go's goroutines for efficient code generation
Design flexible template systems to support different project types and programming languages
Implement robust error handling and logging for AI-powered applications
Write testable AI agent code with mocking techniques for OpenAI responses

Ever wanted to harness the power of AI to write code for you? In this hands-on course, you'll build your very own AI code generation tool using Go! This is the first Golang course on this subject.

I'll guide you step-by-step as we create a powerful application that uses OpenAI's API to generate complete projects in multiple programming languages. You'll learn how to implement concurrent processing, template systems, and even build a sleek web interface.

The course focuses on using prompt engineering to get a consistent response from the LLM, which we, in turn, parse to build out our program. What you will build in this course is fantastic and shows AI's unlimited power.

By the end of this course, you'll have:

A fully functional AI code generator with the ability to generate full project.

Support for Golang, Python, JavaScript, and Java

A professional web UI with real-time progress tracking using WebSocket

Skills to build your own AI-powered development tools

Learn how t build a code generation engine from scratch

Perfect for Go developers curious about AI integration or anyone looking to boost their productivity with custom AI tools.

No AI experience needed - just basic Go knowledge!

Join me and discover how easy it is to build your own AI coding assistant!

Who this course is for:
Go developers wanting to integrate AI capabilities into their applications
Software engineers interested in building practical AI-powered developer tools
Programmers looking to automate code generation and improve productivity
Developers curious about practical applications of large language models
Coding enthusiasts who want to learn how to build their own AI assistants
Technical team leads exploring ways to improve team efficiency with AI tools

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