Cloud Binary · Forward Deployed Engineer (FDE) & AI Engineering Academy
AI Can Write the Code.Who Gets It into Production?
The demo was the easy part. Shipping it is the job.
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By Chennakesavulu Kummari (Kesav) · FDE Architect & Author
Forward Deployed Engineer Program
Take cloud, DevOps and AI systems into real customer environments and make them work.
Engineering Foundations
Lab · Discovery and role mapping
Lab · Enterprise integration bridge
Lab · System design defense
Lab · Protected repo with quality gates
Lab · Production break-fix
Full-Stack and Data
Lab · Real-time telemetry dashboard
Lab · High-throughput core API
Lab · Customer data audit and ELT
AI Engineering and Agents
Lab · Document intelligence RAG
Lab · Multi-agent operations swarm
Lab · PRD to tested service in 4 hours
Lab · Legacy system bridge
Cloud, DevOps, Security and Field Delivery
Lab · AI platform provisioning with Terraform
Lab · Helm deploy with autoscaling
Lab · GitOps pipeline with canary release
Lab · DevSecOps and AI guardrail gate
Lab · Open-weight model serving with vLLM
Lab · Agent tracing and evaluation
Lab · Full client deployment simulation
Forward Deployed Engineer openings in India
Publicly available FDE roles across India from company careers pages and job boards. Updated regularly.
Forward Deployed Engineer (REF43630H)
Built layer by layer — like a real deployment.
The Forward Deployed Engineering (FDE) curriculum is organized into 5 progressive production layers. Click any layer below to explore its corresponding modules in our comprehensive 19-module syllabus.
Customer delivery & field skills
Module 19Module 19 · Discovery, business acumen, stakeholders, production handover.
Security, MLOps & observability
Modules 16–18Modules 16–18 · DevSecOps, AI governance, model serving, evals, telemetry.
Integration, cloud & DevOps
Modules 12–15Modules 12–15 · Legacy & enterprise integration, multi-cloud, Kubernetes, GitOps.
Data & AI engineering
Modules 8–11Modules 8–11 · Data pipelines, LLMs, RAG, AI agents, MCP, vibe coding.
Engineering foundations & full-stack
Modules 1–7Modules 1–7 · FDE intro, Python/TS, DSA & system design, Git, Linux, frontend, backend.
Tap any section below to open details
Practitioner Leadership
Learn from people who build
No junior trainers or recorded slide presenters. Learn directly from industry architects who design and operate production enterprise systems.
"Our mission is to teach engineers how to think, build, debug, and defend systems in the real world."
Verifiable Learning Proof
See what learning looks like in practice
Real engineers who moved from traditional support, QA, or standard development into high-impact systems, cloud, and AI engineering roles.
Wilson Manda
Multi-Cloud DevOps & SRE Graduate
“The practical, hands-on lab approach at Cloud Binary gave me direct experience with enterprise-grade AWS, CI/CD pipelines, and Kubernetes workflows. Kesav sir's direct mentorship and break-fix sessions made all the difference in clearing technical interviews with confidence.”
Arun Kumar
Azure DevOps & Cloud Engineering Graduate
“I was working as an SQL Developer before joining Cloud Binary. Kesav sir's teaching style and way of explaining concepts made learning much easier and more interesting. With the team's guidance throughout my journey, I successfully transitioned into an Azure DevOps Engineer role.”
“Transitioned from manual testing to solutions engineering. Learning C4 system architecture modeling and FastAPI backends gave me the exact confidence needed in multi-round client interviews.”
Rahul Kumar
Hyderabad, India
“Building the RAG pipeline with Qdrant and LangGraph was completely different from simple tutorial videos. We learned hybrid search, token budgeting, and how to evaluate hallucination rates.”
Priya Sharma
Bengaluru, India