Enterprise QE Transformation Program

Agentic AI for QE & Testing

Transform quality engineering with agentic AI, GitHub Copilot, Claude, enterprise GenAI platforms, autonomous testing workflows, governance, and an account-growth playbook that connects technical adoption to measurable client value.

3-5 Days20 ModulesCustom Enterprise Cohort
Submit Enterprise Enquiry

QE and automation engineers

Use AI for test design, automation acceleration, API testing, log analysis, defect investigation, and release-readiness reporting.

Test architects and QE leaders

Design multi-agent testing frameworks, governance controls, operating models, productivity metrics, and enterprise adoption roadmaps.

Delivery and account teams

Identify account whitespace, shape AI-led QE value propositions, and connect quality transformation to cost, speed, and business outcomes.

Presales and solution architects

Build credible QE offerings, PoCs, proposals, cost-benefit models, executive narratives, and account-specific transformation plans.

Complete Curriculum

20 enterprise-focused modules

The program combines practical QE implementation, responsible AI, enterprise adoption, consulting, account expansion, and an optional advanced capstone.

Visual for Module 1: AI Evolution for Quality EngineeringModule 1 · Day 1

Module 1: AI Evolution for Quality Engineering

Topics

  • • Automation to intelligent and agentic testing
  • • Generative AI, AI agents, and autonomous testing agents
  • • AI impact on QE operating models

Hands-on

  • • Map the current QE workflow
  • • Identify candidate agent roles
  • • Define transformation objectives

Output: QE evolution and opportunity map.

Visual for Module 2: Understanding the Agentic QE EcosystemModule 2 · Day 1

Module 2: Understanding the Agentic QE Ecosystem

Topics

  • • AI-powered QE stack
  • • Copilot, Claude, test intelligence, and LLM frameworks
  • • Multi-agent QE architecture

Hands-on

  • • Compare enterprise AI tools
  • • Draft a target QE stack
  • • Design a high-level multi-agent architecture

Output: Enterprise Agentic QE reference architecture.

Visual for Module 3: Account Penetration Strategy using Agentic AIModule 3 · Day 1

Module 3: Account Penetration Strategy using Agentic AI

Topics

  • • AI opportunities in existing accounts
  • • Cost, release speed, quality, shift-left and shift-right
  • • Value propositions and SDLC opportunity mapping

Hands-on

  • • Identify account whitespace
  • • Map stakeholders and pain points
  • • Create an AI-led QE value proposition

Output: Account opportunity and value map.

Visual for Module 4: AI Governance, Security, and Responsible TestingModule 4 · Day 1

Module 4: AI Governance, Security, and Responsible Testing

Topics

  • • Enterprise governance and prompt safety
  • • Privacy, IP, regulation, and hallucination risk
  • • Human-in-the-loop controls

Hands-on

  • • Run a QE risk assessment
  • • Define approval gates
  • • Create a responsible-use checklist

Output: Agentic QE governance baseline.

Visual for Module 5: Prompt Engineering for QE TeamsModule 5 · Day 2

Module 5: Prompt Engineering for QE Teams

Topics

  • • Structured and context engineering
  • • Persona and few-shot prompting
  • • Reusable QE prompt libraries

Hands-on

  • • Create prompts for requirements and test ideas
  • • Build reusable templates
  • • Evaluate and improve outputs

Output: Reusable QE prompt library.

Visual for Module 6: Intelligent Test Design using AIModule 6 · Day 2

Module 6: Intelligent Test Design using AI

Topics

  • • Requirement-to-test generation
  • • Risk, boundary, negative, and exploratory testing
  • • Synthetic test-data generation

Hands-on

  • • Generate and review test cases
  • • Prioritize tests by risk
  • • Create safe test datasets

Output: AI-assisted test-design package.

Visual for Module 7: AI-Powered Test AutomationModule 7 · Day 2

Module 7: AI-Powered Test Automation

Topics

  • • Script and API test generation
  • • Legacy framework refactoring
  • • Self-healing automation concepts

Hands-on

  • • Convert manual tests to automation
  • • Generate UI and API tests
  • • Refactor an existing test

Output: Automation acceleration prototype.

Visual for Module 8: Copilot and Claude for QE ProductivityModule 8 · Day 2

Module 8: Copilot and Claude for QE Productivity

Topics

  • • Code and test explanation
  • • Selenium, Playwright, SQL, and log assistance
  • • RCA, defect summaries, and release reporting

Hands-on

  • • Analyze logs and SQL results
  • • Draft a defect RCA
  • • Generate a release-readiness summary

Output: QE productivity accelerator.

Visual for Module 9: Building Agentic QE WorkflowsModule 9 · Day 3

Module 9: Building Agentic QE Workflows

Topics

  • • Autonomous test orchestration
  • • Requirement-to-defect lifecycle
  • • Regression optimization and intelligent prioritization

Hands-on

  • • Define planner and execution agents
  • • Connect workflow handoffs
  • • Add review and escalation loops

Output: End-to-end Agentic QE workflow.

Visual for Module 10: AI for Defect Prevention and RCAModule 10 · Day 3

Module 10: AI for Defect Prevention and RCA

Topics

  • • Predictive defect analytics
  • • Defect clustering and root-cause mining
  • • Log intelligence and incident prediction

Hands-on

  • • Cluster defects
  • • Mine root-cause signals
  • • Create a preventive-quality recommendation

Output: AI-powered RCA and prevention workflow.

Visual for Module 11: Enterprise QE Use Cases by IndustryModule 11 · Day 3

Module 11: Enterprise QE Use Cases by Industry

Topics

  • • Banking and healthcare
  • • Retail, telecom, and manufacturing
  • • High-tech enterprise scenarios

Hands-on

  • • Select an industry use case
  • • Map regulatory and operational constraints
  • • Tailor the agent workflow

Output: Industry-specific Agentic QE use case.

Visual for Module 12: Measuring Business Value for ClientsModule 12 · Day 3

Module 12: Measuring Business Value for Clients

Topics

  • • Agentic QE ROI
  • • Productivity and automation metrics
  • • Defect leakage and executive dashboards

Hands-on

  • • Select baseline KPIs
  • • Estimate benefits
  • • Design an executive scorecard

Output: ROI model and value dashboard.

Visual for Module 13: AI-Led QE Consulting FrameworkModule 13 · Day 4

Module 13: AI-Led QE Consulting Framework

Topics

  • • Account whitespace identification
  • • QE maturity and AI readiness
  • • Client discovery workshops

Hands-on

  • • Run a maturity assessment
  • • Score AI readiness
  • • Prepare discovery questions

Output: QE consulting assessment pack.

Visual for Module 14: Building AI QE OfferingsModule 14 · Day 4

Module 14: Building AI QE Offerings

Topics

  • • Service catalog design
  • • Accelerators and reusable assets
  • • AI testing CoE models

Hands-on

  • • Package service components
  • • Define reusable assets
  • • Outline a CoE operating model

Output: Agentic QE service offering.

Visual for Module 15: Account Penetration PlaybookModule 15 · Day 4

Module 15: Account Penetration Playbook

Topics

  • • Land-expand-transform strategy
  • • Cross-sell and upsell motions
  • • Stakeholder mapping and executive storytelling

Hands-on

  • • Build an expansion roadmap
  • • Map buying stakeholders
  • • Practice an executive narrative

Output: Account penetration playbook.

Visual for Module 16: Proposal and Solutioning WorkshopModule 16 · Day 4

Module 16: Proposal and Solutioning Workshop

Topics

  • • AI QE proposals and estimation
  • • Cost-benefit models and PoCs
  • • Demo storytelling

Hands-on

  • • Scope a PoC
  • • Draft a proposal
  • • Prepare a solution pitch

Output: Client-ready Agentic QE proposal.

Visual for Module 17: Multi-Agent Testing SystemsModule 17 · Optional Day 5

Module 17: Multi-Agent Testing Systems

Topics

  • • Planner and test agents
  • • Execution and RCA agents
  • • Governance agents

Hands-on

  • • Define specialist contracts
  • • Design orchestration
  • • Add governance checkpoints

Output: Advanced multi-agent testing architecture.

Visual for Module 18: AI-Native QE Operating ModelModule 18 · Optional Day 5

Module 18: AI-Native QE Operating Model

Topics

  • • Future QE organization
  • • Skills transformation
  • • AI workforce and role evolution

Hands-on

  • • Map future roles
  • • Create a skills plan
  • • Define human-agent responsibilities

Output: AI-native QE operating model.

Visual for Module 19: Advanced Enterprise ScenariosModule 19 · Optional Day 5

Module 19: Advanced Enterprise Scenarios

Topics

  • • Testing AI systems and prompts
  • • Model validation, bias, and explainability
  • • Synthetic-data validation

Hands-on

  • • Design AI-system test coverage
  • • Create prompt tests
  • • Define model validation checks

Output: AI-system quality strategy.

Visual for Module 20: Enterprise CapstoneModule 20 · Optional Day 5

Module 20: Enterprise Capstone

Topics

  • • Agentic QE roadmap
  • • Account penetration strategy
  • • Business case and executive presentation

Hands-on

  • • Build the roadmap
  • • Complete the solution and ROI case
  • • Present to an executive panel

Output: Executive-ready Agentic QE transformation proposal.

Plan an enterprise cohort

Share your organization, cohort size, QE maturity, preferred tools, timeline, and transformation goals.

Submit Enterprise Enquiry