[In-Person - April] Build with AI: Java Powered Day

## Join us for an exciting day that explores the intersection of Artificial Intelligence and Java development!

## Details

Location:
Infosys Campus,
Audi-1 ( Cauvery Conference room)
Training room 2276, Block A
Konappana Agrahara, Electronic City,
Bengaluru, Karnataka 560100

-- REGISTER AND RSVP ONLY IF YOU HAVE DECIDED TO JOIN, LIMITED SEATS --
--DONOT FORGET TO REGISTER THROUGH THE BELOW LINK IN ADDITION TO RSVP--
Registration link - https://forms.gle/XyTACqn8aFcqro4v8

-- ITS A FREE EVENT, register through the link below (also RSVP since we have limited seats) before 24th April 2025 --
-- GOV ID CARD IS MANDATORY TO ENTER --
--ATTENDEES HAS TO BRING FULLY CHARGED LAPTOPS FOR THE WORKSHOPS--

Workshop : Gemini in Java with Vertex AI and LangChain4j
Time: 11.00am to 12.00 pm
Speaker(s) :
Bhavesh Wadhwani

Talk #1: Code Smarter with AI
Time: 12.00pm to 1.00 pm
In this session experience AI in action with a live coding session on Java and Jakarta EE development! Watch as AI-driven tools generate Jakarta EE applications from AI-designed ER diagrams and extend them with intelligent assistance. Learn how custom AI-powered prompts and tooling accelerate source code generation. See Apache NetBeans enhance development with smart code suggestions within the editor. Don't miss this hands-on exploration of AI-assisted coding!
Speaker(s) :
Gaurav Gupta

Talk #2: Cognitive Craftsmanship: Building Java Applications with Intelligent Assistance
Time: 2.00 pm to 3.00 pm
Discover how to harness the power of AI-driven code generation to elevate your Java development. The session will demonstrate how intelligent assistance can streamline complex coding tasks with practical use cases and live demonstrations, revealing how this synergy can dramatically accelerate your development cycles.
Speaker(s) :
Venkatesh

Talk #3: Introduction to Spring AI
Time: 3.00 am to 4.00 pm
A beginner-friendly session covering the fundamentals of Spring AI, its capabilities, and how it simplifies LLM integration.
Explore:Effortless LLM integration and seamless switching between different LLM providers.
Advanced capabilities, including:
Output Parsers – Simplify structured response parsing from LLM models
Chat Memory – Maintain context across interactions for better conversational AI
RAG - Spring AI supports retrieval-augmented generation for grounded and context-aware responses
Evaluatots - to validate and improve LLM outputs
Streaming Responses – Enable real-time AI-driven applications with streamed outputs

Speaker(s) :
Udayani V

Talk #4: AI For Software Development – Do More With the Same
Time: 4.00 pm to 5.00 pm
An eye-opening session where we flip the traditional software development model on its head. Watch us live and on the fly as we turn a real-world problem statement into a working software prototype using AI tools—in a fraction of the time it usually takes.
From coding to documentation, feature enhancements to bug analysis, project tracking to stakeholder updates—see how AI is not just transforming what we build, but how fast, how well, and by whom.
🔥 Whether you're a developer trying to accelerate delivery, an architect rethinking velocity, or a project manager seeking smarter visibility—this session offers hands-on strategies, tips, guardrails, and fresh perspectives on embedding AI into your software journey.
Speaker(s) :
Megha Agarwal
Murali Pachigolla

Break: Lunch
Time: 1:00pm - 2:00pm