AI Engineering
Architecture, evaluation and delivery of production GenAI systems.
Books
Agentic Observability for AI Agents
From observability of agents to agentic observability: a runtime evidence architecture and a governed Observability Operations Agent.
FDE: Forward Deployed Engineer
The complete path from client ambiguity to durable production AI, and the professional practice and career path of Forward Deployed Engineering.
Architecting Production-Ready Gen AI and Agentic AI Systems
A practitioner playbook for the architecture decisions behind production GenAI and agentic systems, from decision contracts to durable execution and governance.
Generative AI for Enterprise Data Engineering
Every data-engineering capability built twice: first as greenfield architecture, then tested against the production failures that make enterprise AI hard.
Claude Certified Developer – Foundations Study Guide
Prepare for the CCDV-F exam while building a production-style Claude platform: Messages API, agents, tool loops, MCP servers, evaluation and security.
AI-300 in Practice
Scenario-driven preparation for Exam AI-300: Azure Machine Learning, Microsoft Foundry, MLOps, GenAIOps, evaluation, observability and deployment safety.
Cracking Your First AI Engineer Interview
The engineering judgement behind modern AI systems, six portfolio-grade projects, and how to defend your work when an interviewer starts challenging it.
Evaluating Gen AI Systems and Agents
Evaluation as a repeatable engineering discipline across GenAI apps, RAG, coding and reasoning workflows and AI agents, from first eval suite to release gates.
Advisory
Production AI architecture review
An independent review of a GenAI or agentic system before or after go-live, covering architecture, evaluation, operations and governance.
Corporate training and capability building
Structured programmes that build AI engineering, forward-deployed delivery and AI governance capability inside your teams.