AI-Augmented Quality Engineering and Test Automation Corporate Training
Develop AI-augmented testing skills that cut defect escapes and speed up every release.
Give your enterprise teams AI-augmented quality engineering skills with Edstellar's corporate training for testing teams. As a corporate training company for engineering organizations, we pair instructor-led sessions with hands-on labs: your employees build AI-assisted test suites, wire them into CI/CD pipelines, and apply cost and security controls. Content adapts to your tools, and every lab targets the workflows your team owns.
Instructor-led group trainingVirtual / on-site / off-site10 languagesDelivered inEnglish, Spanish, Mandarin, German, Arabic, Portuguese, Hindi, French, Japanese, Italian100+ countriesWe have delivered inUnited States, United Kingdom, India, Canada, Germany, France, Netherlands, UAE, Saudi Arabia, Singapore, Australia, Japan, Brazil, South Africa and 90+ more countries
How we build a quality-driven team
The Edstellar QUALITY ENGINEERING Capability Model
Diagnose
We audit your current test coverage, automation maturity, and defect escape points across teams.
Standardize
Your teams adopt one quality engineering standard, from framework patterns to review gates.
Practice
Guided labs build AI-assisted tests, self-healing suites, and CI/CD pipelines on live test stacks.
Measure
Lab reviews and defect-escape tracking show your team's quality capability rising before rollout.
Scale
We roll the program out across cohorts and products, keeping one testing standard everywhere.
Need more than one program?Get a group quote
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Program Overview: What is AI-Augmented Quality Engineering and Test Automation?
AI-Augmented Quality Engineering & Test Automation is an instructor-led corporate training program that shows QA engineers, SDETs, and development teams how to bring AI assistance into modern quality workflows. Across 24 hours and six modules, participants cover quality engineering foundations, test automation architecture, AI-assisted test design, test data management, and security controls.
Short concept briefings are followed by guided hands-on labs on a prebuilt test stack, where teams build, run, and debug automated suites rather than watching slides. Participants use AI-assisted test generation, design self-healing suites, and wire them into CI/CD pipelines under instructor coaching. Each lab ends with expert review and feedback so teams fix weak tests before they accumulate. The program closes with a five-hour capstone in which teams design and build a working AI-augmented quality pipeline.
Without these skills, teams drown in manual test maintenance, flaky suites, and defects that escape late in the release cycle. Participants learn which tests to automate first, where AI genuinely adds value, and how to keep suites stable as code grows. They stop firefighting releases and start preventing defects.
Teams wire an AI-assisted automation framework into a CI/CD pipeline with security gates and quality checks, reviewed against production-readiness criteria. Flaky suites and late-escaping defects lose their home-field advantage.
AI is changing how quality gets built into software. This program connects AI-assisted test generation, automation frameworks, and CI/CD pipelines into one quality engineering workflow, so your teams catch defects earlier and release with confidence.
The program enhances test coverage, reduces defect escape rates, and strengthens the quality capability your engineering teams rely on every day.
What's Included in this Workshop for Your Enterprise Teams
- 1
AI and quality concepts primer
Where AI helps testing, explained simply.
- 2
Guided automation lab environment
Prebuilt test stack with frameworks ready.
- 3
Test design and automation build-outs
Build AI-assisted test suites hands-on.
- 4
Quality skills assessment
Lab-based checks measure progress.
- 5
Workbook and test templates
Reusable test patterns for daily work.
- Training delivered at any of your offices globally
- 10+ languages
- Schedule around your calendar
- Group size set along with you
- Run as one cohort or split into batches
- Recurring and annual options
- Trainer sourcing, matching and logistics
- Instructor-led (virtual/onsite/hybrid)
Build your team's skills. Anywhere in the world.
Real-world use cases
from day one
Instructor-led training
for your teams
Delivered globally
in 100+ countries
Enterprise Training Solutions Customized for Your Company
One partner for instructor-led corporate training, delivered the way your teams work.
Request a Training Quote- Customized Training Delivery
- Scale Your Training: Small to Large Teams
- In-person Onsite, Live Virtual or Hybrid Training Modes
- Plan from 2000+ Industry-ready Training Programs
- Hands-On Labs on Live Infrastructure, Led by Industry Experts
AI-Augmented Quality Engineering and Test Automation Course Topics and Program Outline
Six modules take your team from quality engineering foundations to a production-ready test automation pipeline. A baseline skills assessment sets the entry level, and every module pairs concept briefings with guided hands-on labs on a live test environment.
Built by Edstellar with quality engineering practitioners
Built by engineers who ship test automation in production, shaped around your stack and use cases.
A short skills check maps your team's testing baseline before module one, so labs start at the right level.
Instructor-led sessions build quality engineering and automation foundations over 6.5 hours of concept work.
Guided labs across 12.5 hours put AI-assisted test design, CI/CD integration, and security controls in your team's hands.
Your team builds an end-to-end AI-augmented test pipeline over 5 hours of applied, instructor-reviewed work.
24 hours from first automated test to a production-ready AI-augmented test pipeline
Delivered as
The program runs as instructor-led hybrid training, typically three full days, with pacing and module weighting adjusted to your team's testing stack and schedule.
Set up the automation lab and run your first AI-assisted test.
learna)Shifting from manual QA to AI-augmented quality engineering
b)The QE lifecycle: plan, design, execute, measure, improve
c)Where AI fits in testing workflows and where it does not
d)Setting up your automation lab environment
Build a layered framework with reusable components.
learna)Layered automation architecture patterns
b)Page object models and reusable component libraries
c)Data-driven and keyword-driven test design
d)API and contract testing foundations
Generate AI-assisted tests and add self-healing locators.
practicea)Generating test cases with AI assistance
b)Self-healing locators and resilient selectors
c)Visual regression checks
d)Risk-based test prioritization
Wire the suite into a CI/CD pipeline with parallel runs.
practicea)Synthetic and masked test data management
b)Ephemeral test environments and containers
c)Running automated suites in CI/CD pipelines
d)Parallel execution and flaky-test quarantine
Apply cost controls and security gates to test pipelines.
practicea)Controlling cloud spend for test infrastructure
b)Secret handling and data masking in test pipelines
c)Access controls and audit trails for test environments
d)Compliance checkpoints in automated releases
Build the full AI-augmented pipeline and ship it for review.
applya)Designing the end-to-end quality engineering strategy
b)Building the automation framework with AI assistance
c)Integrating the pipeline with CI/CD and security gates
d)Running the full suite and reviewing results with your instructor
Customize this program tailored to your team?
Tell us your training needs: what your team already works with, the level they’re at, and the topics you want them to focus on. We’ll adjust the modules, duration and hands-on labs, and send you a customized outline for your group.
Key Skills and Outcomes Your Team Will Gain
Your team will design, automate, and govern quality with AI assistance, leaving with test suites, pipelines, and release gates ready for production use. Competency grows from baseline to capstone.
Design AI-assisted test suites
Generate and prioritize test cases with AI assistance across your applications.
Build automation frameworks
Architect maintainable framework patterns with reusable components and data-driven design.
Create self-healing test suites
Apply resilient locators and visual checks that survive UI and API changes.
Integrate tests into CI/CD
Run automated suites in pipelines with parallel execution and flaky-test quarantine.
Control test costs and risks
Optimize test infrastructure spend and apply security controls across environments.
Gate releases on quality
Set automated quality gates and compliance checkpoints before every release.
Run a QE practice
Standardize defect triage, reporting, and improvement across engineering teams.
Teams that Benefit from this AI-Augmented Quality Engineering and Test Automation Group Training
Built for QA, test automation, and DevOps teams that ship software every sprint. Whether your team is starting automation or scaling an existing practice, content adapts to role and experience so each cohort practices the workflows it owns.
Higher regression coverage with fewer manual runs
QA engineers use AI assistance to design test cases faster and automate the repetitive checks that slow releases. Coverage grows while manual effort shrinks.
Workflow friction
- Manual regression eats sprint time
- Test coverage lags new features
- Defects escape to production
How the program helps
- Automate repetitive regression suites
- Prioritize tests by release risk
- Cut manual test cycles each sprint
Practice use cases
- AI test case design
- Regression suite automation
- Risk-based test plans
- Defect triage labs
Maintainable frameworks that survive product change
Automation engineers build resilient frameworks with self-healing locators, clean architecture, and CI/CD integration. Suites stay green as the product evolves.
Workflow friction
- Flaky tests erode trust in suites
- Framework maintenance grows costly
- UI changes break locators weekly
How the program helps
- Build self-healing test suites
- Standardize framework patterns
- Integrate suites into CI/CD
Practice use cases
- Self-healing locator drills
- Framework refactoring labs
- Pipeline integration builds
Quality gates wired into every pipeline
DevOps engineers embed automated tests, security controls, and quality gates into CI/CD pipelines. Every release carries proof it was tested.
Workflow friction
- Slow suites block deployments
- Test environments drift daily
- Secrets leak into test logs
How the program helps
- Add test stages to pipelines
- Enforce security test controls
- Quarantine flaky tests fast
Practice use cases
- Pipeline test stages
- Environment provisioning labs
- Quality gate configuration
Quality metrics your releases can prove
Engineering managers gain visibility into test coverage, defect escapes, and automation ROI. Release risk moves from gut feel to measurement.
Workflow friction
- Quality progress is hard to measure
- Automation ROI is unclear
- Release risk is a gut call
How the program helps
- Track defect escape rates
- Report automation coverage
- Plan QE capacity per release
Practice use cases
- Quality dashboard reviews
- Release readiness checks
- Capacity planning sessions
Each cohort works through role-relevant labs, then leaves with reusable automation patterns for day-to-day work.
Prerequisites: This program benefits QA engineers, automation engineers, and DevOps teams who ship software regularly. Basic familiarity with a programming language and testing concepts helps, but is not required. No prior AI experience is needed: content adapts to your team's tools, frameworks, and release workflows.
QA Engineer to Quality Engineering Lead
The program moves QA and engineering teams from foundational testing skills to advanced, production-ready AI-augmented automation across six guided modules.
One program that grows with quality engineering careers, from testing basics to confident automation practice.
Mixed cohort, or several teams at once?
We can tailor the training to different teams, roles, and experience levels within the same program.
Certificate of Training Completion.
On successful completion, employees receive an Edstellar course completion certificate, recognizing their commitment to ongoing learning and professional development. It validates the skills they have built and motivates them to keep growing and contribute to organizational success.
Earned, not attended. Awarded on completion of all hands-on labs and the capstone project.
Training Delivery Modes: Virtual, Onsite and Hybrid
Three instructor-led formats for your teams: hybrid as the standard for technical programs, onsite at your offices, or live virtual sessions, all exercise-based.
Hybrid Training
The standard format for this technical program: instructor-led concept sessions with supervised practical exercises. Your team joins live with an expert trainer guiding every activity, whether together onsite or connected virtually.
- Instructor-led concept sessions with live demos
- Supervised practical exercises on a guided test stack
- Mix onsite and live virtual attendance per cohort
- Pacing tuned to your team's testing stack
Onsite Training
Run the full program at your office with an expert trainer on site. Exercises run on your infrastructure or our guided test stack, and pacing follows your team's tools and release cycle.
- Expert trainer delivering at your office
- Exercises on your infrastructure or our guided stack
- Cohort sessions scheduled around your calendar
- Group activities aligned to your release workflows
Live Virtual Training
Join live virtual training with an expert trainer and the same guided exercises as onsite delivery. Sessions run on standard video platforms with remote environments your team can access anywhere.
- Live virtual sessions with an expert trainer
- Remote exercise environments with instructor support
- Same guided practice and capstone as onsite delivery
- Standard video platforms your team already uses
Need a training format that works for your team?
Full days, half days across weeks, or split by module. Tell us the delivery window and we schedule the cohort around it.
Frequently Asked Questions
Share your team size, preferred dates, and delivery mode in the lead form. We reply with a tailored proposal covering scope, schedule, and pricing.
Yes. A discovery call with a training advisor maps your team's testing maturity and tools, so the proposal fits your stack and goals.
Yes. Live virtual sessions run on standard video platforms with remote exercise environments, guided by an instructor throughout.
Yes. Onsite delivery runs at any of your offices worldwide, with exercises on your infrastructure or our guided test stack.
The standard program runs 24 hours, typically over three days, with pacing and module weighting adjusted to your cohort.
Question not answered here?
Put it in the request. A training specialist answers it directly, within one business day.
Where this Training Fits in Your Team's learning path.
AI-augmented quality engineering comes after your testers know testing fundamentals and UI automation. It adds AI to test design, maintenance and analysis, and continuous testing then puts the whole approach into the DevOps pipeline so every change is checked.
Why Choose Edstellar as Your AI-Augmented Quality Engineering and Test Automation Training Provider
Edstellar brings 5+ years of experience delivering technical training to engineering and QA teams. Your trainers are practitioners matched to your testing stack, and every program is adapted to your frameworks, with practical exercises and Skills Matrix reporting that shows capability growth.
EXPERT TRAINERS
YEARS DELIVERING
ORGANIZATIONS TRAINED
CERTIFIED
Tailored
Content is shaped around your testing stack, so every lab mirrors your real frameworks and pipelines.
Proven Methodology
5+ years of corporate training experience delivering technical programs to engineering and QA teams worldwide.
Practice-Based Learning
Your team builds across 6 modules in 5 hands-on labs, shipping AI-assisted suites and CI/CD pipelines.
Expert Trainers
Learn from 5,000+ certified trainers matched to your stack, with a full trainer profile shared before you book.
Global Scale
One program delivered worldwide, in hybrid, onsite, or live virtual formats that fit your teams.
Measurable Outcomes
Baseline-to-capstone measurement plus Skills Matrix reporting on your team's quality engineering fluency.
Also from Edstellar
Talent assessments
Psychometric, behavioral, leadership and 360-degree assessment.
→Training needs analysis
Needs analysis, gap identification, and a training roadmap.
→L&D consulting
Learning strategy, content, technology and ROI measurement.
→OD consulting
Org design, succession planning and cultural change.
→Managed training services
Training outsourcing, vendor management, logistics and administration.
→Coaching solutions
Executive and manager coaching that keeps skills in use.
Start an RFP shaped to your needs.
Answer three quick questions about team size, scope, and how often you need the program run, then send the request from the last step. Everything you choose travels with it, so you only fill this in once.
How many team members need training?
AI-Augmented Quality Engineering & Test Automation Training Packages & Pricing
Where L&D holds an annual budget, license packages price the whole year at once instead of raising a purchase order per workshop. Hours and licenses are pooled across teams, programs and locations, so unused capacity is not stranded in one department.
Starter
120
trainee licenses64 hours of group training
Tailored for SMBs
Growth
320
trainee licenses160 hours of group training
Ideal for growing SMBs
Enterprise
800
trainee licenses400 hours of group training
Designed for large corporations
Custom
Unlimited
trainee licensesDuration set by the rollout
Multi-region and multi-year
Training Packages & Pricing
Choose the training format that works for your team. Pricing is customized based on your requirements, cohort size, and delivery needs.
Request AI-Augmented Quality Engineering and Test Automation Training for Your Team
Tell us about your team, your testing stack, and your quality goals. We will arrange a discovery call, tailor the program to your frameworks, and share a proposal with schedule, pricing, and availability.