Move from manual QA to AI-assisted automation without feeling left behind.
4 weeksBeginnerQa AiRecording access for 90 days
4 weeks with Weekly live sessions with guided exercises so learners leave with write, review and maintain automation suites with ai assistance..
Why this guided path works
One cohort, one rhythm, one stronger route into applied execution.
The value is not just live sessions. It is the combination of structure, workbook practice, reusable templates, and guided momentum across multiple focused weeks.
What you are really buying
4 weeks of guided learning
Weekly live sessions with guided exercises with accountable rhythm
Materials that stay useful after each live session ends
What you will walk away with
Test scenariosAutomation-ready casesStarter automation suiteTransition roadmap
What is included
Live cohort sessions
Guided exercises
Project practice
Templates and resources
Certificate of completion
Recording access for 90 days
4-week curriculum
Move through one focused live path with applied practice each week.
The course is structured around guided practice, reusable templates, and a practical capstone direction that helps you apply AI with more confidence.
What you will build or achieve
Write, review and maintain automation suites with AI assistance.
Write, review and maintain automation suites with AI assistance.
Test case generator
API test suite
UI automation starter pack
Bug report enhancer
Who this is for
Built for learners who want a practical path instead of random AI tips.
manual QA
automation QA
testers
SDETs
Week 1
AI-assisted QA foundations
Use AI to improve QA thinking, scenario generation, acceptance criteria review, and risk coverage.
How AI changes QA work
Test scenario generation
Better bug reports
Acceptance criteria review
Risk-based testing with AI
Exercise: Generate test scenarios from a feature brief.
Week 2
From manual test cases to automation thinking
Convert manual testing habits into automation-ready structure and better first automation choices.
Test case structure
API testing basics
UI automation basics
Test data generation
Choosing what to automate first
Exercise: Convert manual test cases into automation-ready steps.
Week 3
AI-assisted automation creation
Generate starter automation, debug flaky tests, and build review habits around AI-written scripts.
Writing automation prompts
Generating starter scripts
Debugging flaky tests
Regression planning
Review and maintenance
Exercise: Create a starter automation suite for a sample app.
Week 4
Career transition roadmap
Package a proof-of-work project and roadmap for moving from manual QA toward automation roles.
QA to SDET skill bridge
Building proof of work
Portfolio project structure
Interview talking points
Next learning path
Capstone: Create an AI-assisted QA automation starter project.
Capstone project
Create an AI-assisted QA automation starter project.
You finish with course project work that matches the course promise and gives you a practical capstone direction.
Live sessions, resources, and recordings stay organized in your learner account.
4 weeks of live guided learning. Weekly live sessions with guided exercises. Recording access for 90 days. Session recordings available in your learner account after each live session.
Learning duration
4 weeks of live guided rhythm
Weekly live sessions with guided exercises keep the cohort moving in one steady pattern
Live sessions are delivered across the guided cohort window
Upcoming cohort dates will be announced before the batch opens
Recording access
Recording access for 90 days
Recording access for 90 days. Session recordings available in your learner account after each live session.
Workbook, templates, notes, and examples stay inside your learner account after each live session
Recordings are view-only and available for the access window
Course promise
Move from manual testing to AI-assisted automation and quality engineering.
Learner outcome
Write, review and maintain automation suites with AI assistance.
Capstone direction
Test case generator
What this helps with
Choose this when you want one guided path, not another stack of disconnected AI content.
This course is for learners ready to stay with one focused live route and leave with better execution habits, stronger judgment, and reusable assets.
Who should choose this course
Choose it when you want one structured route that keeps you moving through a focused cohort.
manual QA
automation QA
testers
SDETs
This is the better fit when the main need is guided structure, live accountability, and a calmer progression from the course promise into applied work.
Included in the cohort
The cohort includes the resources that keep the learning useful after each live session ends.
Live cohort sessions
Guided exercises
Project practice
Templates and resources
Certificate of completion
Recording access for 90 days
These assets exist so the cohort feels like a guided learning system, not just temporary live access.
FAQ
Common questions before you enroll.
Is coding required?
Testing basics.
What if I miss a session?
Session recordings are available in your learner account after each live session. Recording access for 90 days.
Will recordings be available?
Yes. Recordings are view-only and available inside your learner account during the access window.
Will I get a certificate?
Yes. Learners who complete the required course work receive a certificate of completion.
Is this beginner-friendly?
Yes. The course is designed as a beginner-friendly live cohort with guided exercises and practice artifacts.
How is this different from watching free videos?
Free videos can teach isolated tips. This cohort gives you a sequence, guided practice, reusable resources, quality checks, and a practical capstone direction.
Learning approach
Practical learning, not passive watching.
The cohort is designed around guided practice, reusable templates, and review habits that help learners use AI with better judgment.
Guided practice
You apply concepts through structured exercises instead of only watching lectures.
Clear direction
Each session helps you move toward a practical workflow, prototype, or implementation direction.
Review mindset
You learn how to check AI output, improve it, and avoid blind trust.
Led by a practitioner
Practical AI training grounded in real work.
This program is designed from real AI product, automation and platform experience, with a focus on practical workflows, quality checks and production thinking.