LIVE AI TRAINING FOR QA PROFESSIONALS

Hands-On AI Training
for SDETs

Live, hands-on AI training that helps QA professionals build practical skills they can apply at work.

1
Month
30 hrs
Live training
12
Sessions
50
Hands-On Labs
Professionals learning together in a live training session
AI-Ready SDET
Our flagship live program for QA, automation engineers and SDETs.
Why Learn AI Now

AI is changing how QA teams work.

AI is changing how requirements are analyzed, tests are designed, automation is built, failures are investigated and releases are delivered. Teams are increasingly expected to use AI to deliver faster and improve productivity.

01

Deliver Faster

Use AI to reduce repetitive work and speed up common QA engineering activities.

02

Increase QE Productivity

Apply AI to requirements, test design, automation, debugging and engineering workflows.

03

Keep Your Skills Current

As QA roles and expectations evolve, practical AI skills are becoming increasingly important.

What QA Professionals Need

Learn how to use AI in real QA engineering.

The goal is not just to learn prompts. Build practical skills that help you work faster, automate more intelligently and use AI effectively in day-to-day Quality Engineering.

01

Use AI for Testing

Apply AI to requirements, test design, test data, reporting and coverage analysis.

02

Use AI for Automation

Work with Playwright, Selenium, APIs, databases, debugging and CI/CD.

03

Build AI-Powered Workflows

Use agents, MCP, n8n and RAG to connect AI with real engineering work.

How Orange Days Helps

Learn by doing.

Live instruction, trainer demonstrations and Hands-On Labs help you turn concepts into practical skills you can apply at work.

01

Learn the Concept

Learn the practical basics needed to understand and solve the QA problem.

02

Watch the Trainer Demo

See the trainer apply the concept to a real QA engineering scenario.

03

Complete the Hands-On Lab

Apply what you learned by solving a related practical problem yourself.

04

Review and Improve

If you cannot solve a lab, the trainer will explain the approach, guide you through the problem and help you understand how to reach the solution.

Featured Program

AI-Ready SDET — Hands-On AI for Modern Test Engineering

Learn how to use AI in real QA engineering through a live, hands-on program built to increase QE productivity. Learn by doing 50 Hands-On Labs across AI-assisted testing, automation, agents, MCP, APIs, databases, CI/CD, n8n and RAG.

01

For Working QA Professionals

Designed for QA Engineers, Automation Engineers, SDETs, QA Leads and Test Architects.

02

Practical AI Skills

Focus on the QA and engineering problems you need to solve—not AI theory alone.

03

Real QA Use Cases

Build workflows and solutions you can adapt to your own projects.

Technologies you'll work with
GitHub CopilotClaude CodeMCPPlaywrightSeleniumn8n
Free Live Webinar

Build an AI QA Agent for Jira Test Case Generation.

Watch an agent retrieve a Jira requirement through Atlassian MCP, generate test cases and add them back to Jira.

27 Sep11:00 AM IST
30 Sep8:00 PM IST
1 hrLive demo
FreeRegistration
Trainer

Learn from an experienced QA and automation leader.

Ramanathan Rajamanthiram (Raj) brings 20+ years across software development, testing, automation architecture, Quality Engineering and delivery—including product organizations such as Yahoo and IBM.

Meet the Trainer
20+Years industry experience
500+Engineers supported
100+Test engineers trained
50+Engineers mentored
AI & QA Blog

Articles on AI and Quality Engineering.

Simple guides that help QA professionals build strong AI foundations.

If AI Can Test… Where Do Testers Fit?

AI can already generate tests and automation. Discover which QA activities are changing and what will remain valuable.

Read article

AI Is Not a Search Engine

Learn why fluent AI answers can still be incomplete, outdated or incorrect—and how to verify them.

Read article

AI Assistant, Application, Workflow or Agent?

Understand who directs the work, who chooses the next step and what each approach means for QA.

Read article