Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Subscribe
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Spring AI: Beginner to Guru
Rating: 4.2 out of 5(1,251 ratings)
8,759 students

Spring AI: Beginner to Guru

Use Java to Unlock the Power of OpenAI's ChatGPT Artificial Intelligence (AI) with Spring AI
Created byJohn Thompson • 500,000+ Enrollments Worldwide
Last updated 5/2026
English

What you'll learn

  • Learn how to use Spring AI to interact with OpenAI
  • How to write effective Prompts for Large Language Models
  • Use Retrieval Augmented Generation to Improve Response Capabilities
  • Using OpenAI Functions
  • Generate Speech from Text
  • Generate Text from Speech

Course content

10 sections • 80 lectures • 6h 11m total length

  • Course Introduction2:41
  • Instructor Introduction2:59
  • Getting the Most Out of Your Course2:16
  • Setting Up Your Development Environment2:16
  • Is Your IDE Free Like A Puppy?2:37
  • Free 120 Day IntelliJ Trial0:43
  • Course Slack Room - Chat with Your Instructor and Other Students0:49
  • Github Workflow12:02

Requirements

  • Java and Spring Experience is Required
  • Basic Understanding of RESTful APIs

Description

Traditionally accessing Artificial Intelligence Models, such as OpenAI's ChatGPT, has been the domain of programming languages Python and Javascript.

Not any more. Spring AI unlocks the power of Generative AI for Java developers.

The Spring AI project aims to streamline the development of applications that incorporate artificial intelligence functionality without unnecessary complexity.

Spring AI provides support for all major Artificial Intelligence models, including:

  • OpenAI

  • Azure OpenAI

  • Amazon Bedrock

  • HuggingFace

  • Ollama

  • Google VertextAI (PaLM2 and Gemini)

  • Mistral AI

  • Antrhopic

  • WatsonxAI

Spring AI also supports image generation AI models from OpenAI and Stability.

Retrieval Augmented Generation is an important use case for dealing with AI models. Spring AI includes robust support for all major Embedding Models and all popular vector databases.

No prior experience with AI is needed for this course.

You will start the course with a solid overview of what Artificial Intelligence is.

Next you'll have a hands on section to develop a RESTful API to ask OpenAI's ChatGPT questions. In this section, you will learn how we can instruct the model to return data in the format we desire.

Since no AI experience is required, the next section of the course builds upon what you learned with a formal look at Prompt Engineering. Prompt Engineering is a collection techniques to improve the quality and accuracy of responses from AI Models.

Retrieval Augmented Generation (RAG) is an important technique to provide Large Language Models with additional information required to the user's query to complete specialized tasks.

You will see how we can use RAG to develop AI experts to perform high specialized tasks.

The AI models are not just limited to working with textual information.

In this course you will also see how to use AI to create images, create audio files from text, and how to transcribe audio files to text.

Course Updates

  • Sept 9th, 2024 - Course Updated to Spring AI 1.0.0-M2

  • October 12th, 2024 - Course Updated to Spring AI 1.0.0-M3, Spring Boot 3.3.4

  • January 2nd, Course Updated to Spring AI 1.0.0-M5 and Spring Boot 3.3.6

Learn all this and more in Spring A:I Beginner to Guru. Enroll today!

Who this course is for:

  • Any Java Developer wishing to get started using OpenAI

Report abuse