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The Forward Deployed Engineer · Volume 1
Foundations: software, cloud, data and AI. Chapters 1–22.
The forward deployed engineer works where customers and code meet. Volume 1 builds the broad base the role demands: architecture, modern development, APIs, security, the three major clouds, Kubernetes, observability, cost, and the data and AI foundations every enterprise AI project rests on.
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Every chapter ends with a hands-on exercise, a checklist and Field Notes prompts for your own work. Continue with Volume 2 →
// contents
What's inside
Part I — The Role and Its Roots 2 chapters
- 1The Forward Deployed Engineer
- 2A Short History: From Mainframes to Agents
Part II — Engineering Fundamentals 6 chapters
- 3Architecture and Design That Can Change
- 4Modern Development: Git, Testing, and AI Coding Assistants
- 5APIs, Integration, and Event-Driven Systems
- 6Distributed Systems, Databases, and Resilience
- 7Security and Enterprise Identity
- 8Field Basics: Linux, Shell, Networking, and Debugging
Part III — Cloud 9 chapters
- 9Cloud Fundamentals: What Every Cloud Shares
- 10AWS Essentials
- 11Microsoft Azure Essentials
- 12Google Cloud Essentials
- 13Cloud Networking, Hybrid, and On-Premises Connectivity
- 14Containers and Kubernetes
- 15Infrastructure as Code, CI/CD, and Platform Engineering
- 16Observability, SRE, and Performance
- 17Cloud Cost and FinOps
Part IV — Data and AI 5 chapters
- 18Data Platforms for AI: Lakehouse, Spark, Databricks, and Snowflake
- 19AI and LLM Foundations
- 20Working With Models: Prompting, Fine-Tuning, and Serving
- 21RAG and Enterprise Knowledge
- 22Document AI and Multimodal Systems
Appendices 6 items
- AAWS, Azure, and Google Cloud Service Comparison
- BCommand-Line Quick Reference
- CTemplates for Field Engineering
- DFurther Reading
- Glossary
- Index