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Spring AI: Beginner to Guru

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Spring AI: Beginner to Guru, available at $54.99, has an average rating of 4.34, with 75 lectures, 1 quizzes, based on 229 reviews, and has 2213 subscribers.

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You will learn about 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 This course is ideal for individuals who are Any Java Developer wishing to get started using OpenAI It is particularly useful for Any Java Developer wishing to get started using OpenAI.

Enroll now: Spring AI: Beginner to Guru

Summary

Title: Spring AI: Beginner to Guru

Price: $54.99

Average Rating: 4.34

Number of Lectures: 75

Number of Quizzes: 1

Number of Published Lectures: 72

Number of Published Quizzes: 1

Number of Curriculum Items: 79

Number of Published Curriculum Objects: 75

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

  • Any Java Developer wishing to get started using OpenAI

Target Audiences

  • Any Java Developer wishing to get started using OpenAI

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.

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

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course Introduction

Lecture 2: Instructor Introduction

Lecture 3: Getting the Most Out of Your Course

Lecture 4: Setting Up Your Development Environment

Lecture 5: Is Your IDE Free Like A Puppy?

Lecture 6: Free 120 Day IntelliJ Trial

Lecture 7: Course Slack Room – Chat with Your Instructor and Other Students

Lecture 8: Github Workflow

Chapter 2: Introduction to AI

Lecture 1: Introduction

Lecture 2: Types of Artificial Intelligence

Lecture 3: Introduction to Large Language Models (LLMs)

Lecture 4: Overview of OpenAI

Chapter 3: Introduction to Spring AI with OpenAI

Lecture 1: Introduction

Lecture 2: Get Your OpenAI API Key

Lecture 3: Create New Spring Boot Project

Lecture 4: Configure OpenAI API Keys

Lecture 5: Add OpenAI Service

Lecture 6: Exploring LLM Capabilities

Lecture 7: Create Spring MVC Controller

Lecture 8: Test Controller with Postman

Lecture 9: Using Prompt Templates

Lecture 10: Directing OpenAI to format the Response

Lecture 11: Directing OpenAI to Respond with JSON

Lecture 12: Binding OpenAI Responses With JSON Schema

Lecture 13: OpenAI Response Meta Data

Chapter 4: Prompt Engineering

Lecture 1: Introduction

Lecture 2: Overview on Prompt Engineering

Lecture 3: Giving Clear and Precise Instructions

Lecture 4: Giving the Model Time to Think

Lecture 5: Summarizing

Lecture 6: Inferring

Lecture 7: Zero Shot and Few Shot Prompting

Lecture 8: Chain of Thought

Lecture 9: Using System Messages

Chapter 5: Retrieval Augmented Generation – RAG

Lecture 1: Introduction

Lecture 2: Overview of Retrevial Augmented Generation

Lecture 3: Configure Vector Store

Lecture 4: Configure Vector Store Data Load

Lecture 5: Returning Documents from Vector Store

Lecture 6: Improving Prompt Performance – Embedding Config

Lecture 7: Improving Prompt Performance – Trimming Data

Lecture 8: Providing Document Meta Data

Chapter 6: AI Recommendation Expert with RAG

Lecture 1: Introduction

Lecture 2: Overview of Towing

Lecture 3: Spring Boot Project Review

Lecture 4: Configure Milvus Vector Database

Lecture 5: Vector Store Data to Load

Lecture 6: Load Vector Store

Lecture 7: Configure System Prompt and Test

Chapter 7: OpenAI Functions

Lecture 1: Introduction

Lecture 2: Overview of Function Calling with OpenAI

Lecture 3: Spring Boot Project Review

Lecture 4: Get API Ninjas API Key

Lecture 5: Weather Service Function

Lecture 6: Configure Function Callback

Lecture 7: Provide Model with Function Response

Lecture 8: Use System Message to Improve Model Response

Chapter 8: Spring AI Image Generation and Vision

Lecture 1: Introduction

Lecture 2: Overview of Image Generation with OpenAI

Lecture 3: Code Review of Spring Boot Project

Lecture 4: Implement Spring MVC Endpoint

Lecture 5: Implement OpenAI Image Service

Lecture 6: Using DALL-E 3 OpenAI Model

Lecture 7: Using OpenAI Specific Image Options

Lecture 8: Overview of OpenAI Vision

Lecture 9: Using Maven Snapshot Releases

Lecture 10: Create Spring MVC Controller

Lecture 11: Implement Vision Service

Chapter 9: Spring AI Text to Speech

Lecture 1: Overview of Text to Speech with OpenAI

Lecture 2: Spring Boot Project Review

Lecture 3: Implement Spring MVC Endpoint

Lecture 4: OpenAI Speech Client

Instructors

Rating Distribution

  • 1 stars: 5 votes
  • 2 stars: 3 votes
  • 3 stars: 33 votes
  • 4 stars: 82 votes
  • 5 stars: 108 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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