Learn Spring Ai Online: Free Course with AI Tutor & Certificate
This 16-hour Spring AI full course includes 47 video lessons. You'll start with the Introduction to Artificial Intelligence and move through configuring beans, dependency injection, and building RESTful APIs. By the end, you can build secure microservices and cloud deployments using Spring AI.
What you'll learn in this Spring Ai course
Five concrete outcomes you'll walk away with, each mapped to modules in the curriculum below.
Understand the fundamentals of Artificial Intelligence and its application in the Spring AI framework.
Configure and work with beans, annotations, and dependency injection in Spring AI.
Develop data access and manipulation skills using JDBC Template and Spring Data JPA.
Build RESTful APIs, handle web requests and responses, and implement security measures in Spring AI.
Gain knowledge and experience in advanced topics such as AOP, caching, cloud deployment, microservices, and best practices in Spring AI.
Spring Ai course syllabus
01 Introduction to Spring AI
- Introduction to Artificial Intelligence
- Overview of Spring AI Framework
- Setting Up the Development Environment
02 Spring AI Basics
- Understanding Dependency Injection
- Introduction to Inversion of Control
03 Spring AI Core Concepts
- Introduction to Spring AI Core
04 Spring AI Data Access
- Working with JDBC Template
- Implementing Object-Relational Mapping (ORM)
05 Spring AI Web Development
- Introduction to Spring AI Web
- Implementing Security in Spring AI
06 Spring AI Integration
- Introduction to Spring AI Integration
07 Spring AI Testing
- Integration Testing with Spring AI
08 Spring AI Advanced Topics
- Implementing Aspect-Oriented Programming
- Caching in Spring AI
09 Spring AI Cloud
- Introduction to Spring AI Cloud
- Scaling and Load Balancing
- Monitoring and Logging in Spring AI Cloud
10 Spring AI Security
- 1 Introduction to Spring AI Security
- 1.2 Spring Security Overview|Providing an overview of Spring Security and its integration with Spring AI.
- 1.3 Security Configuration|Explaining the basics of security configuration in Spring AI.
- 2 Authentication and Authorization
- 2.1 Authentication Mechanisms|Exploring different authentication mechanisms available in Spring AI Security.
- 2.2 Implementing Authorization|Demonstrating how to implement authorization rules in Spring AI applications.
- 2.3 User Roles and Permissions|Discussing the management of user roles and permissions in Spring AI Security.
- 3 Securing RESTful APIs
- 3.1 API Security Best Practices|Introducing best practices for securing RESTful APIs in Spring AI.
- 3.3 Securing API Endpoints|Showing how to secure API endpoints using Spring AI Security.
- 4 Implementing Single Sign-On (SSO)
- 4.1 SSO Concepts|Defining Single Sign-On and its benefits for Spring AI applications.
- 4.3 SSO Providers and Protocols|Discussing different SSO providers and protocols (e.g., SAML, OpenID Connect).
11 Spring AI Microservices
- 1 Introduction to Spring AI Microservices
- 1.1 Microservices Architecture|Explaining the microservices architecture and its advantages for Spring AI applications.
- 1.3 Transitioning to Microservices|Guiding on transitioning from a monolithic architecture to microservices with Spring AI.
- 2 Building Microservices with Spring AI
- 2.1 Microservice Design Patterns|Introducing design patterns specific to microservices development in Spring AI.
- 2.2 Creating a Microservice|Demonstrating how to create a microservice using Spring AI.
- 2.3 Microservices Communication|Exploring communication mechanisms between microservices (e.g., REST, messaging).
- 3 Service Discovery and Load Balancing
- 3.3 Using Spring Cloud Netflix Eureka|Showing how to use Spring Cloud Netflix Eureka for service discovery and load balancing.
- 4.1 Circuit Breaker Fundamentals|Defining the circuit breaker pattern and its role in microservices resilience.
- 4.3 Monitoring Circuit Breakers|Discussing how to monitor and manage circuit breakers in a microservices architecture.
12 Spring AI Best Practices
- 1.1 Common Design Patterns|Introducing common design patterns used in Spring AI applications.
- 1.2 Design Patterns for Scalability|Discussing design patterns that enhance scalability in Spring AI.
- 3 Error Handling and Logging
- 3.2 Implementing Logging|Discussing how to implement logging for error tracking and diagnostics.
- 4 Continuous Integration and Deployment (CI/CD) with Spring AI
- 4.1 CI/CD Concepts|Defining Continuous Integration and Continuous Deployment in the context of Spring AI.
Skills you'll gain
Add these to your LinkedIn profile and resume the day you finish.
Who should take this Spring Ai course?
And exactly what you need before starting (spoiler: almost nothing).
This course is for
- Java developers looking to add artificial intelligence capabilities to their applications.
- Backend engineers who want to learn Spring AI cloud deployment and microservices.
- Computer science students in India preparing for modern software development roles.
- Tech professionals seeking an accessible spring ai tutorial for beginners.
Prerequisites
- Basic knowledge of Java and the Spring framework is required.
- Familiarity with REST APIs and web development concepts.
- No prior artificial intelligence experience is needed, as the course starts with an Introduction to Artificial Intelligence.
How learning works on LearnTube
The structure of a bootcamp, the price of free.
AI curates your path
Our AI picks the top 1% of video content for each topic and arranges it into a structured, goal-based curriculum. No more tutorial roulette.
Learn, then get quizzed
After every lesson, your AI tutor asks you a question and gives personalised feedback on your answer, so gaps get fixed immediately.
Finish with proof
Complete the course, build the capstone project, and claim a certificate recognised by 900+ hiring partners.
A complete Spring Ai course: free, structured and job-focused
This free spring ai tutorial spans about 16 hours across 12 modules and 47 carefully selected video lessons. You'll begin with a foundational Introduction to Artificial Intelligence before tackling Spring AI Basics and Spring AI Core Concepts. As you progress, the curriculum covers practical implementation details like Spring AI Data Access, where you work with JDBC Template and Spring Data JPA. You will also learn to build RESTful APIs and handle web requests in the Spring AI Web Development and Spring AI Integration modules.
The later sections of this spring boot ai course focus heavily on production-ready skills. You'll study Spring AI Testing, Spring AI Cloud, and Spring AI Security to ensure your applications run safely at scale. The final modules cover Spring AI Advanced Topics, Spring AI Microservices, and Spring AI Best Practices. This gives you a complete understanding of how to configure beans, manage dependency injection, and deploy AI-driven applications in a Java environment.
LearnTube makes this training highly interactive and easy to follow. Every curated YouTube video is paired with a quick quiz from our AI tutor to check your understanding right away. Learning is completely free, and you can purchase an optional certificate once you finish all 47 lessons. This is a great way to verify your knowledge and share your achievement with the 900+ hiring partners in our network.
Jobs you can target after learning Spring Ai
Spring Ai is a gateway skill for some of the fastest-growing roles in tech.
Builds and maintains backend applications using Spring Boot and Java.
Designs scalable server-side systems and integrates AI features into APIs.
Develops software solutions, manages data access, and deploys microservices.
Typical entry-level salary ranges in India as of September 2026. Actual compensation varies by city, company and experience.
Earn a Spring Ai certificate employers recognise
Finish the course and claim a certificate you can share anywhere.
- Learn 100% free: every lesson, quiz and the AI tutor cost nothing
- Claim your certificate when you complete the course (an optional paid add-on)
- Recognised by 900+ hiring partners across India
- One click to share on LinkedIn and add to your resume
Why learners choose LearnTube
Real reviews from Google. You learn free, you get assessed free, and you pay only if you want the certificate.
Though I have 11 years of experience as an HRBP, the course helped me refresh my knowledge and gave me insights into new trends in the market. The modules were clear and easy to understand, and the quizzes were well designed. I have added the certificate to my LinkedIn profile.
I had a lot of doubts while learning, but the AI chatbot answered them in detail with simple summaries. The videos on the platform saved me a lot of time as I didn't have to search YouTube and watch random content.
Just earned my certificate in HR Management from LearnTube.ai! The platform is user-friendly and the assessment was a great way to validate my knowledge. Feeling proud of this accomplishment!
I enrolled in a LearnTube personalized course to get into a Data Analytics role. It helped me learn SQL in depth and gave me hands-on experience with Power BI. I attached the LearnTube certificate to my CV, it added credibility to my profile, and I'm currently in the interview process.
The interface is user-friendly and intuitive, making it easy to navigate the course. I encountered no errors during my time using the platform, which was a refreshing change from other online learning platforms.
Just cleared the Business Analyst assessment and got certified! Loved how the course simplifies big concepts like data-driven decision making into short, practical lessons. The automated quizzes kept me on track the whole time. Perfect boost for my resume!
The certificate gave me a real edge during my B.Tech. By the time I graduated, I had skills that set me apart from my peers, and the certification opened up more job opportunities. It gave me the confidence to stand out during interviews.
I manage many software projects as a General Manager and was looking for a good certification program to stay competitive. After researching many programs, I chose LearnTube and it was much better than I expected. The material is well-organized and practical, and what I liked most is the lifetime access.
Frequently asked questions
Everything learners ask before starting this Spring Ai course.
How long does it take to complete this spring ai course?
It takes about 16 hours to finish all 12 modules. The material is broken down into 47 video lessons, so you can easily pace yourself and learn Spring AI on your own schedule.
What will I be able to do after this spring boot ai training?
You will be able to build RESTful APIs, configure dependency injection, and manage data access using Spring Data JPA. You'll also know how to secure and deploy Spring AI microservices to the cloud.
Is learning Spring AI still in demand?
Yes, combining artificial intelligence with enterprise Java applications is highly sought after. Companies need developers who can integrate generative AI features into existing Spring Boot environments securely and efficiently.
Is this spring ai full course really free?
Yes, all 47 video lessons and the AI tutor quizzes are completely free to access. You only pay if you decide to purchase the optional certificate after completing the training.
Do I need prior AI experience to take this class?
No, you do not need previous artificial intelligence background. The very first lesson is an Introduction to Artificial Intelligence, which covers the fundamentals before moving into specific Spring AI concepts.
Will I learn about database integration in this spring ai bootcamp?
Yes, the Spring AI Data Access module specifically covers database integration. You will learn how to work with JDBC Template and Spring Data JPA to manipulate data effectively within your applications.
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