AI SDET Career Program
Full-Stack QA · Automation · CI/CD · Mobile · RPA · AI-First QA Engineering
The complete SDET career program — from QA foundations to AI-powered engineering.
The AI SDET Career Program is EBSTON's flagship engineering program — a comprehensive, end-to-end curriculum that takes you from QA fundamentals through advanced automation, mobile testing, CI/CD, continuous testing, RPA, and AI-first quality engineering. You will graduate with a complete portfolio, multiple live projects, and the skills modern engineering teams expect from senior SDET professionals.
Who Is This Course For?
- Automation engineers who want to advance to SDET level
- QA engineers with 1–3 years of experience ready to level up
- Developers who want to transition into quality engineering
- Manual testers committed to a full automation engineering career
- Anyone serious about building a premium QA/SDET career
What You'll Learn
Course Curriculum
- Manual testing, API testing, SQL for QA
- Agile, Scrum, Jira, and test management
- Test strategy, architecture, and risk-based testing
- Shift-left and shift-right testing principles
- Quality engineering mindset vs traditional QA
AI-Powered Automation
AI is not a single chapter — it is integrated throughout this course at every stage.
Tools & Technologies
Live Project
You will complete at least two end-to-end projects: a full automation framework for a SaaS application (web, API, CI/CD) and a mobile automation project with BrowserStack integration. Both projects are pushed to GitHub, reviewed by instructors, and form the core of your SDET portfolio.
Instructor
Practising QA engineer with 12 years of experience building and testing software at scale. Brings real-world architectures, real failures, and practical solutions to every session — not textbook theory.
Career Outcomes
FAQs
Related Programs
Want to build foundational automation skills first?
Specifically focused on AI integration?
Ready to start AI SDET Career Program?
Learn from experienced QA and SDET professionals, work on real-world projects, and build the skills modern engineering teams expect.
