Production bootcamps

Choose the role. Leave with the proof.

Four live, practitioner-led programs for engineers who need to build, deploy, test, and defend production systems—not collect another completion badge.

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Enterprise AI programs

Build AI that survives production reality.

Both AI tracks produce a deployed system. Choose the Builder track to own the engineering inside your company, or the Field-Readiness track to deliver that system in a customer environment.

02 · Field-Readiness Track16 weeks

AI Forward Deployed Engineer

Deliver agentic AI at the customer’s door, not only in your own stack.

Build the production system, then scope it from a vague brief, integrate it into a deliberately messy environment, debug it live, and defend an adoption plan.

You leave with
  • A scoped, approvable technical proposal
  • A secured, integrated, cost-optimized cloud deployment
  • Live incident practice and a full engagement simulation
Best for

Forward Deployed Engineers, implementation consultants, solutions engineers, and customer-facing delivery teams.

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Quality engineering track

Take one test suite from first structure to production ownership.

Two sequential eight-week courses use the same evolving application. Start with a maintainable Playwright foundation, then extend it into API coverage, CI/CD, observability, and deliberate AI-assisted QA.

03 · QA Course 18 weeks

Core Playwright & Testing Frameworks

Write Playwright tests the way production suites are actually built.

Build Page Object Model structure early, then add fixtures, data-driven coverage, test isolation, parallel execution, BDD scenarios, and stakeholder-readable reporting.

You leave with
  • A TypeScript-first Page Object Model suite
  • Reliable data-driven and parallel execution
  • A BDD-structured, graded end-to-end capstone
Best for

QA engineers, SDETs, and developers who know basic Playwright and want a suite that remains maintainable as the product changes.

Start with Core Playwright →

The learning contract

Build. Prove. Defend.

The subject changes by program. The production standard does not.

01 / Build

One system grows every week

Each module adds capability to the same project, so architecture decisions and technical debt remain visible.

02 / Prove

Evidence replaces “it works”

Tests, evaluation results, logs, failure handling, security controls, and pipeline behavior form the assessment.

03 / Defend

Explain the tradeoffs live

Present the capstone, respond to review, and show that the system can be owned after the demo ends.

Live instructionBuild-alongs and direct feedback
Graded workProduction-readiness criteria
Working capstoneReviewable system or test platform
Earned certificateAwarded after evaluation and defense

What participants ship

Portfolio evidence that shows how you work.

Choose a production-shaped domain, then carry it through implementation, evaluation, deployment, and review.

Enterprise AI

Grounded knowledge assistant

Agent platform

Tool-using operations agent

Field delivery

Customer engagement simulation

Incident response

Live debugging defense

Playwright Core

BDD end-to-end suite

Playwright Advanced

Hybrid API/UI pipeline

AI evaluation

Regression and observability harness

AI-augmented QA

MCP-driven automation workflow

Practitioner-led

Learn from people who have owned the outcome.

AI systems + cloud architecture

Amit Kayal

Technology leader focused on AI-first, cloud-native enterprise platforms, agentic AI architecture, production operations, and AWS-native systems.

LinkedIn ↗
Quality engineering + test automation

Avishek Das

QA architect with 13+ years building quality engineering and automation at scale, including Playwright frameworks and evaluation systems for AI-native products.

LinkedIn ↗

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