The AI Architect Handbook (eBook) with Yogana S

Most developers can call an LLM API. Very few can design a GenAI system that survives production, stays within budget and earns a client's trust.

This handbook is the playbook I use as a Senior GenAI Architect delivering AI projects for clients in the US, UK and India.

Inside (97 pages, 12 chapters in 4 parts):

✅ AI project discovery and build vs buy vs fine-tune decisions

✅ LLM selection and model strategy

✅ RAG architecture end to end, with failure modes and fixes

✅ AI agents and multi-agent design with real examples

✅ Document AI and structured extraction

✅ LLM cost optimisation, evaluation and observability

✅ Security, governance and deployment for enterprise clients

✅ Estimating, pricing and proposing AI projects

✅ Your AI architect career roadmap

Every chapter includes an architecture diagram, a real (anonymised) project example, an architect's checklist and key takeaways.

Appendix: discovery questionnaire, production readiness checklist, glossary and tools map.

For: developers, ML engineers and tech leads moving into AI architecture or AI consulting.

Format: PDF, instant download.