All trainings Professional technology training

Software Development with AI

Build secure, maintainable software faster by combining strong engineering practices with responsible AI across discovery, design, coding, testing, security, deployment, and operations.

Request enrollment View table of contents

Hands-on coding Secure engineering Completion certificate

Training at a glance

0 modulesFull development lifecycle

40 learning hoursLessons, labs, capstone

Beginner to AdvancedProgressive learning

USD 10.00Training fee

Training overview

Use AI as an engineering partner—not an unchecked code generator.

This training connects product thinking, requirements, architecture, implementation, testing, security, DevOps, documentation, and responsible AI into one accountable development workflow.

Participants learn how to provide useful context, verify generated work, manage risk, preserve design intent, protect sensitive code and data, and deliver measurable improvements without sacrificing engineering quality.

Software developersImprove coding, testing, debugging, and refactoring workflows.

Architects and technical leadsStrengthen design analysis and engineering decisions.

QA and DevOps professionalsAccelerate quality, releases, and operational response.

Aspiring developersLearn a structured modern development lifecycle.

Learning outcomes

What you will be able to do

Apply AI throughout delivery while maintaining human ownership of design, quality, security, and outcomes.

Define better requirements

Develop stories, acceptance criteria, constraints, edge cases, and plans.

Design sound architecture

Evaluate components, APIs, data, integrations, and technical trade-offs.

Develop maintainable code

Generate, explain, review, refactor, and integrate code responsibly.

Test and debug

Build test suites, reproduce defects, diagnose causes, and validate fixes.

Engineer securely

Apply threat modeling, secure coding, dependency, privacy, and secrets controls.

Deploy and operate

Support delivery pipelines, releases, monitoring, incidents, and documentation.

Table of contents

Complete training curriculum

Ten modules cover the complete AI-assisted software lifecycle from discovery to production delivery.

10 modules40 hours1 product

Learning experience

Learn by building real software

Design

Translate needs into requirements, architecture, and delivery decisions.

Build

Develop and refactor software using controlled AI assistance.

Verify

Test functionality, quality, security, performance, and maintainability.

Deliver

Deploy and present a documented, working capstone product.

Software development with artificial intelligence training

Responsible AI-assisted engineering

Training resources

Tools for reliable AI-assisted delivery

Developer prompt patternsReusable structures for design, coding, review, testing, and debugging.

Engineering templatesRequirements, architecture decisions, API contracts, and release plans.

Quality checklistsCorrectness, tests, security, performance, maintainability, and documentation.

Responsible-use guideCode privacy, licensing, secrets, validation, and human accountability.

Training FAQs

Questions before enrollment?

Basic experience helps, but the program progresses from foundations and can be adapted for different technical levels.

Principles are transferable. Demonstrations can be adapted to common web, backend, data, and application stacks.

Yes. It teaches effective context, prompts, review, integration, testing, security, and accountable use across leading tools.

Yes. The capstone covers planning, implementation, tests, security, documentation, deployment, and presentation.

Participants completing required activities and the capstone can receive a certificate.

Enrollment enquiry

Build better software with responsible AI.

Ask about the next session, enrollment, payment details, or tailored training for your development team.

Request training details