Course Description

This comprehensive program takes you from Java fundamentals through Spring Framework and into production-grade AI/ML engineering on both Azure and AWS. You'll build enterprise-ready applications using Spring Boot, integrate intelligent capabilities with Azure Cognitive Services and OpenAI, train and deploy custom models on AWS SageMaker, and accelerate your workflow with Cursor AI. The course concludes with a certification module to validate your skills.

What you'll learn in this course?

By the end of this course, you will have the hands-on skills to build, deploy, and manage AI-powered Java applications across major cloud platforms.

• Core Java programming with Spring Boot, Spring Security,REST APIs, Spring Data JPA, Spring AI.

• Azure AI services — OpenAI, NLP, Computer Vision, Document Intelligence, and RAG with Azure Search

• AWS ML pipeline — data preparation, SageMaker model training, deployment, and monitoring

• AI-assisted development with Cursor AI for faster, smarter coding

Each module combines recorded video lectures with downloadable PDF notes so you can learn at your own pace. The curriculum is designed to mirror real-world enterprise workflows — from writing your first Spring Boot endpoint to deploying a fully monitored ML model in the cloud.

Who is this course for?

This course is designed for technical professionals and aspiring engineers who want to build production-ready AI-powered applications using Java and cloud platforms.

• Software Engineers and Java Developers looking to transition into AI/ML roles

• Data Scientists and Analysts aiming to productionize ML models on Azure and AWS

• Cloud and DevOps Engineers who want to build and operate ML workloads at scale

• Students and Freshers seeking job-oriented training with industry certifications

• Working Professionals upskilling to AI-augmented enterprise application development

Whether you have basic programming knowledge or years of experience, this course meets you where you are and takes you to a certification-ready level across Spring Framework, Azure AI, and AWS Machine Learning.

What you'll get in this course?

This self-paced recorded program includes over 50 hours of video content and downloadable PDF notes for every module. You get instant access after enrollment and can learn on your own schedule.

• 50+ hours of structured, recorded video lectures across 7 modules

• Downloadable PDF notes and code samples for every topic

• Hands-on projects covering Spring Boot APIs, Azure AI integrations, and AWS SageMaker pipelines

• Certification preparation with guided exam practice and tips

• Access to the Dakshapath Discord community for peer support and mentor guidance

Tools you'll use

You'll work with industry-standard tools including ChatGPT, Azure AI Studio, Azure Cognitive Search, large language models, Python, Azure Computer Vision, AWS SageMaker, and GitHub Copilot — giving you practical, job-ready experience across the modern AI and cloud ecosystem.