Spring AI: Beginner to Guru from Udemy

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.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Covers popular AI models like ChatGPT, Azure OpenAI, OpenAI, and others

Ideal for Java developers seeking to integrate Generative AI into their applications

Provides hands-on experience with building a RESTful API to interact with ChatGPT

Suitable for beginners with no prior AI experience, offering a comprehensive overview

Covers advanced topics such as Prompt Engineering and Retrieval Augmented Generation (RAG)

Explores use cases beyond text, including image generation, audio creation, and transcription

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Spring AI: Beginner to Guru with these activities:

Refresh Java Programming Concepts

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Strengthen your Java programming skills to ensure a solid foundation for working with Spring AI.

Browse courses on Java Programming

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Review Java syntax and data structures
Practice writing and debugging Java code

Gather AI Resources

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Build a repository of useful resources, tools, and libraries to support your AI learning and development journey.

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Identify relevant AI resources
Organize and categorize resources

Read 'Deep Learning with Python'

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Gain a deeper understanding of deep learning concepts and techniques, which are foundational for working with AI models.

View Deep Learning with Python, Second Edition on Amazon

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Review the fundamentals of deep learning
Work through practical examples in Python
Apply concepts to real-world AI applications

Three other activities

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Practice ChatGPT Prompt Engineering

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Build proficiency in prompt engineering, improving the accuracy and quality of ChatGPT responses.

Browse courses on Prompt Engineering

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Identify the desired output
Craft clear and specific prompts
Experiment with different techniques
Evaluate responses and refine prompts

Connect with AI Experts

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Seek guidance and mentorship from experienced AI professionals to accelerate your learning and gain valuable insights.

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Attend conferences or meetups
Reach out to AI researchers or practitioners
Join online communities and forums

Build an AI Chatbot Assistant

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Apply course concepts to create a practical application, enhancing understanding and solidifying skills.

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Define the chatbot's purpose and functionality
Design the chatbot's interface and conversation flow
Integrate AI models and train the chatbot
Test and refine the chatbot's performance
Deploy the chatbot and collect user feedback

Career center

Learners who complete Spring AI: Beginner to Guru will develop knowledge and skills that may be useful to these careers:

AI Engineer

An AI Engineer designs, builds, deploys, and maintains AI systems. With the focus on developing AI tools and infrastructure, this course serves as a solid foundation to develop RESTful APIs for AI purposes. Understanding models such as OpenAI's ChatGPT and the ability to prompt and instruct the AI properly would also help you develop better AI systems.

See salaries and explore the career path for AI Engineer

Data Architect

A Data Architect designs, builds, and maintains the architecture of an organization's data systems. This includes designing data models, data warehouses, and data pipelines. This course provides the knowledge and skills to build the data pipelines for AI models from various sources.

See salaries and explore the career path for Data Architect

Data Scientist

A Data Scientist uses data to solve business problems. This includes collecting, cleaning, and analyzing data, as well as building and deploying machine learning models. This course will provide you with the necessary knowledge and skills to understand AI models like OpenAI's ChatGPT and prompt them for better results.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

A Machine Learning Engineer builds and deploys machine learning models. This includes collecting, cleaning, and preparing data, as well as training and evaluating models. The course will help you build a solid foundation to get started as a Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

Software Engineer

A Software Engineer designs, builds, and maintains software applications. This course will help you build a strong foundation in AI and its applications, which is increasingly important for modern software development.

See salaries and explore the career path for Software Engineer

Business Analyst

A Business Analyst analyzes business processes and identifies opportunities for improvement. This course will help you develop the skills to understand AI and its potential impact on businesses, which is essential for a Business Analyst.

See salaries and explore the career path for Business Analyst

Project Manager

A Project Manager plans, executes, and closes projects. This course will help you develop the skills to manage AI projects, which are becoming increasingly common.

See salaries and explore the career path for Project Manager

Product Manager

A Product Manager plans, develops, and launches products. This course will help you develop the skills to understand AI and its potential impact on products, which is essential for a Product Manager.

See salaries and explore the career path for Product Manager

Data Analyst

A Data Analyst collects, cleans, and analyzes data. This course will help you build the skills you need to use AI to analyze data more efficiently.

See salaries and explore the career path for Data Analyst

Marketing Manager

A Marketing Manager plans and executes marketing campaigns. This course will help you develop the skills to understand AI and its potential impact on marketing, which is essential for a Marketing Manager.

See salaries and explore the career path for Marketing Manager

Sales Manager

A Sales Manager plans and executes sales campaigns. This course will help you develop the skills to understand AI and its potential impact on sales, which is essential for a Sales Manager.

See salaries and explore the career path for Sales Manager

Customer Success Manager

A Customer Success Manager helps customers get the most value out of a product or service. This course will help you develop the skills to understand AI and its potential impact on customer success, which is essential for a Customer Success Manager.

See salaries and explore the career path for Customer Success Manager

Operations Manager

An Operations Manager plans and executes operations. This course will help you develop the skills to understand AI and its potential impact on operations, which is essential for an Operations Manager.

See salaries and explore the career path for Operations Manager

Human Resources Manager

A Human Resources Manager plans and executes human resources programs. This course will help you develop the skills to understand AI and its potential impact on human resources, which is essential for a Human Resources Manager.

See salaries and explore the career path for Human Resources Manager

Financial Analyst

A Financial Analyst analyzes financial data and makes recommendations. This course will help you develop the skills to understand AI and its potential impact on financial analysis, which is essential for a Financial Analyst.

See salaries and explore the career path for Financial Analyst

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