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AI QA Workshops & Consultancy
Transform your QA team from manual checks to Al-powered confidence.
Practical, hands-on workshops tailored to your stack.
Playwright
LangChain
RAG
DeepEval
RAGAs
CI/CD
Governance
What We Offer
Comprehensive workshops designed to transform your QA capabilities with Al-powered testing methodologies
Al QA Foundations
Build the foundations for Al-powered QA. Move from requirements to test cases, generate automation, and integrate Al QA into your workflows.
LLM & RAG Testing
Ensure your LLMs and RAG pipelines deliver accurate, reliable results. Learn to detect hallucinations, measure bias, and apply DeepEval & RAGAS.
Advanced Al Model Testing
Go beyond LLMs to test Al models at scale. Cover robustness, fairness, and explainability for high-stakes industries.
MLOps for QA
Operationalise Al QA in pipelines. Add quality gates to the MLOps lifecycle - from data validation to continuous evaluation.
Agentic Al & Autonomous Testing
Future-proof QA with Al agents that generate, execute, and heal test suites. Explore early adoption strategies and risks.
Governance & Compliance
Stay compliant with Al Act, GDPR, and SO 42001. Learn audit trails, risk controls, and compliance readiness.
Workshop Tracks
Choose from our specialized tracks designed for different roles and expertise levels.
AI QA Foundations
½–1 day workshop
4-8 hours
QA/Dev/PO
Learning Outcomes
- Shared vocabulary for AI testing
- Understanding of common patterns and anti-patterns
- Foundation knowledge for AI quality assurance
AI QA Foundations
QA/Dev/PO teams
LLM Testing & Evaluation (DeepEval/RAGAs)
1 day intensive
8 hours
Engineers
Learning Outcomes
- Design metrics (faithfulness, relevance, toxicity)
- Write comprehensive evaluations
- Score and analyze test runs
Playwright + LLM Automation
1–2 day lab-heavy
8-16 hours
Test
Learning Outcomes
- Generate test scenarios automatically
- Convert to maintainable Playwright tests
- Master fixtures, selectors & stability tactics
Deliverables
- Automation starter kit
- Example test suites
- CI integration scripts
Target Audience
Test automation engineers
RAG Quality & Guardrails
1 day workshop
8 hours
AI
Learning Outcomes
- Retrieval quality checks
- Context window optimization
- Hallucination mitigation strategies
- Red-teaming basics
Deliverables
- RAG quality rubric
- Prompt library
- Guardrail patterns
Target Audience
AI engineers & architects
AI QA Foundations
Duration: ½ day
Audience: QA/Dev/PO teams
Learning Outcomes:
- Shared vocabulary for Al testing
- Understanding of Al QA patterns and anti-patterns
- Foundation knowledge for Al quality assurance
CI/CD Integration & Quality Gates
½ day workshop
4 hours
DevOps
Learning Outcomes
- Blocking vs. advisory quality gates
- Artifact management
- Dashboard implementation
- Flaky test policies
Deliverables
- Pipeline examples (GitHub Actions/GitLab)
- Dashboard JSON configs
Target Audience
DevOps & platform engineers
AI Foundations
Duration: ½ day
Audience: QA/Dev/PO teams
Learning Outcomes:
- Shared vocabulary for Al testing
- Understanding of Al QA patterns and anti-patterns
- Foundation knowledge for Al quality assurance
AI QA Foundations
Duration: 1 day
Audience: Developers, QA Engineers, Product Managers, Technical Leaders
Learning Outcomes:
- Practical Framework Implementation: Master industry-leading LLM testing frameworks (DeepEval, Evidently AI, Ragas) and apply them to real-world applications
- Custom Metrics Development: Learn to design and build evaluation metrics tailored to your specific use cases and business requirements
- RAG System Evaluation: Understand how to comprehensively test retrieval accuracy, generation quality, and detect hallucinations in RAG pipelines
- Production Monitoring: Implement continuous monitoring and alerting strategies for LLM systems in production environments
- Advanced Testing Patterns: Master stress testing, adversarial testing, and red-teaming techniques to ensure robust AI systems
- Team Collaboration: Establish best practices for collaborative LLM testing workflows across development, QA, and product teams
Deliverables:
- Workshop slides and comprehensive reference materials
- LLM testing checklists and workflow templates
- Ready-to-use evaluation scripts and configuration templates
- Case studies and real-world testing examples
- Ongoing support and consultation from LLM testing experts
Playwright
Duration: 1 day
Audience: QA Engineers, Test Automation Engineers, Developers, Technical Leaders
Learning Outcomes:
- Playwright Fundamentals: Master the core concepts and architecture of Playwright for cross-browser automation testing
- Test Automation Best Practices: Learn industry-standard patterns for writing maintainable, scalable, and reliable test suites
- Advanced Locator Strategies: Understand how to write robust selectors and locators that withstand UI changes
- API Testing Integration: Learn to combine UI testing with API testing for comprehensive end-to-end validation
- CI/CD Pipeline Integration: Implement Playwright tests into continuous integration and deployment workflows
- Performance and Reliability: Master techniques for handling flaky tests, timeouts, and cross-browser compatibility issues
- Test Reporting and Analytics: Generate comprehensive test reports and integrate with monitoring systems
Deliverables:
- Workshop slides and comprehensive Playwright documentation
- Test automation checklists and best practice templates
- Ready-to-use test scripts and page object model examples
- CI/CD configuration templates and integration guides
- Real-world test scenarios and case studies
- Ongoing support and consultation from test automation experts
RAG
Duration: 1 day
Audience: Developers, ML Engineers, Data Scientists, Technical Leaders
Learning Outcomes:
- RAG Architecture Fundamentals: Understand the components of Retrieval-Augmented Generation systems and how they interact
- Retrieval Quality Assessment: Master techniques for evaluating retrieval accuracy, relevance, and ranking metrics
- Generation Quality Evaluation: Learn to assess the quality and faithfulness of generated responses
- Hallucination Detection: Implement strategies to identify and mitigate hallucinations in RAG outputs
- End-to-End RAG Testing: Develop comprehensive testing strategies that evaluate the entire RAG pipeline
- Vector Database Optimization: Learn best practices for embeddings, indexing, and retrieval performance tuning
- Production Monitoring: Implement continuous monitoring and quality assurance for RAG systems in production
Deliverables:
- Workshop slides and comprehensive RAG evaluation guides
- RAG testing checklists and evaluation templates
- Ready-to-use evaluation scripts and metric implementations
- Vector database configuration and optimization guides
- Real-world RAG case studies and failure analysis
- Ongoing support and consultation from RAG specialists
Governance
Duration: 1 day
Audience: Risk Managers, Compliance Officers, Product Managers, Technical Leaders, Policy Makers
Learning Outcomes:
- AI Governance Frameworks: Understand regulatory requirements and governance best practices for AI systems (GDPR, AI Act, SOC 2)
- Risk Assessment & Mitigation: Learn to identify, assess, and mitigate risks in AI deployments
- Model Governance: Implement version control, documentation, and audit trails for AI models
- Data Governance: Establish data quality, lineage, and privacy controls for AI systems
- Bias & Fairness Assessment: Develop strategies to detect, measure, and mitigate bias in AI systems
- Documentation & Audit Trails: Create comprehensive documentation and maintain audit logs for compliance
- Stakeholder Communication: Effectively communicate AI capabilities, limitations, and risks to stakeholders
Deliverables:
- Workshop slides and governance framework templates
- Compliance checklists and risk assessment templates
- AI governance policy templates and documentation guides
- Bias detection and fairness evaluation tools
- Audit trail and documentation templates
- Real-world governance case studies and best practices
- Ongoing support and consultation from governance experts
CI/CD
Duration: 1 day
Audience: DevOps Engineers, ML Engineers, Developers, Technical Leaders
Learning Outcomes:
- CI/CD Fundamentals for AI: Understand the unique challenges and requirements of CI/CD pipelines for AI/ML systems
- Automated Testing Integration: Learn to integrate LLM, RAG, and model testing into continuous integration workflows
- Model Versioning & Deployment: Master strategies for versioning, packaging, and deploying AI models safely
- Monitoring & Observability: Implement comprehensive monitoring, logging, and alerting for AI systems in production
- Automated Quality Gates: Establish automated checks and gates to prevent quality regressions
- Infrastructure as Code: Use IaC tools to manage AI infrastructure reproducibly and reliably
- Rollback & Incident Management: Develop strategies for safe rollbacks and incident response for AI systems
Deliverables:
- Workshop slides and CI/CD pipeline architecture guides
- CI/CD configuration templates and best practice examples
- Automated testing integration scripts and workflows
- Model versioning and deployment strategy guides
- Monitoring and observability setup templates
- Real-world CI/CD pipeline case studies
- Ongoing support and consultation from DevOps and ML experts
Experience Levels
Workshops tailored to your team’s current expertise and learning objectives.
Beginner
Perfect for teams new to Al testing. Build foundational knowledge and establish best practices.
Most Popular
Intermediate
For teams with some Al experience. Dive deeper into advanced testing methodologies and automation.
Advanced
For experienced teams ready to
implement cutting-edge Al testing strategies and governance.
Who You Get
Learn from industry experts with hands-on experience in Al testing and quality assurance.
Senior QA Engineers
Experts in traditional and AI- powered testing methodologies
Al/ML Specialists
Deep expertise in LLM testing, RAG validation, and model evaluation
DevOps Engineers
Specialists in CI/CD integration and MLOps pipeline optimization
Compliance Experts
Specialists in Al governance, regulatory compliance, and risk management
Workshop Logistics
Flexible delivery options designed to fit your team’s schedule and preferences.
On-site
In-person workshops at your location for maximum engagement
Remote
Virtual workshops with interactive sessions and hands- on labs
Hybrid
Combination of in-person and remote sessions for flexibility
Custom Schedule
Tailored timing to fit your team's availability and project needs
Financial Deliverables
Clear ROl and measurable outcomes from your Al QA transformation.
75%
Cost Reduction
Average reduction in QA costs through
Al-powered automation and efficiency
improvements.
85%
Time Savings
Faster testing cycles through
automated test generation and
intelligent test execution.
3-6
Months to ROI
Typical timeline to see measurable
return on investment from AI QA
implementation.
4 hours
Scaling QA for AI Features Under Compliance Constraints
Challenge
Real results from teams who have completed our workshops and consulting engagements.
Challenge
Real results from teams who have completed our workshops and consulting engagements.
Challenge
Real results from teams who have completed our workshops and consulting engagements.
Frequently Asked Questions
How do you choose the right workshop for our team?
We start with a consultation to understand your current QA maturity, technology stack, and business objectives. Based on this assessment, we recommend the most suitable workshop track and experience level for your team.
Can workshops be customized for our specific use case?
Absolutely. While we have standard workshop formats, we can customize content, examples, and hands-on exercises to align with your specific industry, technology stack, and business requirements.
What ongoing support do you provide after the workshop?
We provide 30 days of follow-up support via email and Slack, access to our resource library, and optional follow-up sessions to help with implementation challenges.
How do you measure workshop effectiveness?
We use pre and post-workshop assessments, hands-on project completion rates, and follow-up surveys to measure knowledge transfer and practical application success.
Ready to Transform Your QA Team?
Start your Al QA journey with expert-led workshops tailored to your team’s needs.