AI Training for Developers

AI Training for Developers Who Build With Java

Help developers use AI coding assistants thoughtfully for discovery, implementation, testing, debugging, documentation, and review without losing engineering judgment.

Practical projects Custom delivery India-friendly formats
Training pathway
01Understand the concept
02Build with guidance
03Review and apply

Designed for teams

Who this program is for

Software developers, technical leads, QA engineers, and teams adopting AI-assisted development.

Bring your current stack, delivery challenges, and learning goals. The agenda can be adapted for developers at different experience levels.

Write useful prompts for code, tests, explanations, and refactoring.

Review generated output for correctness, security, licensing, and maintainability.

Use AI to accelerate Spring Boot APIs, tests, documentation, and debugging.

Create team guidelines for responsible and repeatable AI-assisted work.

Sample curriculum

What your team can work through

One or two days, or an AI adoption workshop series
01

AI-assisted development workflows

Concepts, exercises, discussion, and practical application.

02

Prompting for Java and Spring Boot

Concepts, exercises, discussion, and practical application.

03

Test generation and debugging

Concepts, exercises, discussion, and practical application.

04

Code review and security checks

Concepts, exercises, discussion, and practical application.

05

Documentation and knowledge workflows

Concepts, exercises, discussion, and practical application.

06

Responsible adoption and team playbooks

Concepts, exercises, discussion, and practical application.

Sample agenda

A format that moves from understanding to application

Every program can be shortened, expanded, or mapped to a team project. A typical session includes explanation, guided implementation, review, and action items.

  1. Concept and contextConnect the topic to a real engineering problem.
  2. Guided buildImplement a focused example with trainer support.
  3. Review and practiceDiscuss trade-offs, testing, mistakes, and improvements.
  4. Team next stepsLeave with exercises, references, and an adoption plan.

Client outcomes

Training that fits the work your team already does

Client testimonials and references are added with permission. Request a demo to discuss relevant examples, team goals, and the right delivery format.

Talk to the training team