DevOps & Cloud Engineers
Add deeper software development, data, AI and business problem-solving to strong production infrastructure skills.
The goal is not to memorize a long list of frameworks. The goal is to become capable of entering an unfamiliar technical environment, understanding what matters, and taking a solution through Discover → Define → Design → Build → Deploy → Measure → Productize.
Local learning options: Attend classroom sessions at Ballygunge, Kolkata or join live interactive online training. The learning path is especially relevant for software developers, data engineers, cloud and DevOps engineers, AI/ML engineers, solutions engineers and technical consultants.
The course emphasizes portfolio evidence over certificate collecting. You work toward applications, integrations, deployments, architecture documentation and project stories that can be demonstrated and explained during FDE interviews.
Course Duration & Fees: The Forward Deployed Engineer course runs for 6 months with 50 hours of structured training, including the FDE project. The course fee is INR 48,950/-, and No-Cost EMI is available for eligible learners.
AEM Institute is located at 82 Kankulia Road, Ballygunge, Kolkata 700029. For learners searching for an FDE course in Kolkata, the program connects software engineering, data, cloud, DevOps and AI into one outcome-oriented path instead of treating them as disconnected subjects.
Understand how FDE expands technical ownership across customer problems, software, data, cloud and AI
| Parameter | Traditional DevOps Track | Forward Deployed Engineering (This Program) |
|---|---|---|
| Core Focus | Owns a defined product, data, infrastructure or AI capability | Owns the end-to-end technical outcome around a customer or business problem |
| Engineering Breadth | Deep specialization within one domain | Software + SQL/data + APIs + cloud + deployment + AI + integration + security |
| AI Responsibility | May build or consume an AI component | Uses RAG, tool calling, Agentic AI, evaluation, guardrails and human oversight where they improve the solution |
| Delivery Model | Builds within a predefined scope | Discover → Define → Design → Build → Deploy → Measure → Productize |
| Success Measure | Technical component works as specified | Production solution works in the real environment and creates a measurable outcome |
A strong FDE program should develop real delivery capability—not just expose learners to tools. The learning path should help you build production-grade software, work confidently with data, integrate enterprise systems, deploy what you build, engineer AI systems responsibly, solve ambiguous problems and explain architectural decisions.
📍 Kolkata classroom: 82 Kankulia Road, Ballygunge, Kolkata 700029. Live online learning is also available.
Aligned to the published FDE roadmap: build, integrate, deploy, operate and explain production solutions
Build maintainable backend applications; design and consume REST APIs; work with authentication, testing, debugging, retries, asynchronous processes and Git.
Practice joins, aggregations, CTEs, window functions, indexing, query performance, relational modeling, schemas and the enterprise data lifecycle.
Work with REST APIs, webhooks, OAuth, JWT, service accounts, rate limits, retries, queues and event-driven integration patterns.
Turn messy operational data into a practical application using Python + SQL + API + UI + deployment, tied to a measurable user decision.
Your portfolio should document Problem → Users → Success Metric → Architecture → Trade-offs → Security → Evaluation → Deployment → Observability → Lessons.
FDE is especially relevant to professionals who want broader ownership across engineering, deployment, integration and customer outcomes
Add deeper software development, data, AI and business problem-solving to strong production infrastructure skills.
Add cloud, enterprise data, AI integration, system design and customer discovery.
Strengthen application engineering, APIs, AI systems and customer-facing delivery.
Add backend engineering, enterprise integration, deployment, security and production ownership.
Increase production coding, architecture, debugging and end-to-end delivery depth.
Build FDE capability progressively; early-career roles in software, data, cloud, AI or implementation can provide strong foundations.
A multidisciplinary learning path built around engineering ownership and portfolio evidence
Connect software engineering, SQL and data, APIs, cloud, DevOps, AI, security and customer delivery instead of learning them as isolated subjects.
Learn to start with business objectives, users, workflows, constraints, data, systems and success metrics before selecting technology.
Build a data-to-decision application, an enterprise integration system and a production-grade Agentic AI workflow that can be demonstrated in interviews.
Practice deployment, security, observability, failure recovery and operational reliability—not just local prototypes and notebook demos.
Document and explain architecture, trade-offs, rejected alternatives, permissions, failure handling, evaluation and operational design.
Learn from AEM Institute in Ballygunge, Kolkata, with live online access for learners who cannot attend in person.
Learn from an industry veteran with over two decades of experience
Lead Trainer & FDE Mentor
Devraj Sarkar works across AI strategy, Agentic AI, cybersecurity, cloud and DevSecOps, with a consulting focus on helping organizations turn emerging technology into secure, governed and business-driven capability. His background connects AI initiatives with enterprise architecture, security, governance, cloud infrastructure and implementation.
The FDE learning path benefits from a cross-disciplinary perspective spanning software delivery, cloud, DevSecOps, AI systems, enterprise security, governance and business outcomes.
Everything you need to know about the Forward Deployed Engineer course focus
| Program Name | Forward Deployed Engineer (FDE) Course in Kolkata |
| Learning Structure | Six-stage roadmap from software foundations to end-to-end FDE capstone delivery |
| Course Duration | 6 Months (50 Hours), including FDE Project |
| Course Fees | INR 48,950/- — No-Cost EMI Available |
| Engineering Core | Python, Git, Linux, APIs, SQL, databases, integration and testing |
| Production Core | Docker, cloud, IAM, CI/CD, logging, monitoring, observability and reliability |
| AI Core | LLM applications, RAG, tool calling, Agentic AI, evaluation, guardrails and human oversight |
| Classroom Location | 82 Kankulia Road, Ballygunge, Kolkata 700029 |
| Portfolio Projects | Data-to-Decision App, Enterprise Integration System, Production-Grade Agentic AI Workflow |
| Training Mode | Physical Classroom & Live Interactive Online |
Forward Deployed Engineering capability is valuable across several customer-facing and production-focused technical roles
Own complex customer or business problems from discovery through architecture, implementation, deployment and measurable outcomes.
Integrate products with real enterprise systems, data, identity, APIs and workflows while handling deployment constraints.
Combine customer discovery and technical depth to design credible architectures and prove value through working implementations.
Extend infrastructure expertise with software, data, AI integration and customer-facing technical ownership.
Move beyond model calls to production AI systems with RAG, tools, APIs, security, evaluation, observability and human controls.
FDE is a capability profile rather than a single universal technology stack. Strong candidates usually combine depth in one discipline with meaningful breadth across software, data, cloud, AI and customer problem-solving.
Your projects should show engineering judgment, ownership and production readiness
Model and clean real-world data, expose useful information through APIs, create a practical decision interface and deploy the application for real usage.
Connect multiple systems into one reliable workflow with authentication, authorization, retries, failure recovery, logging and monitoring.
Build an AI system that retrieves enterprise information, invokes tools, interacts with APIs, maintains state, requests human approval and records its actions.
Direct answers for learners evaluating FDE training in Kolkata
A Forward Deployed Engineer (FDE) is a technically strong engineer who works close to customers or business teams to discover problems, design solutions, build and integrate software, deploy it, and own the resulting technical outcome.
In this career context, FDE stands for Forward Deployed Engineer; it can also refer more broadly to Forward Deployed Engineering.
The learning path covers Python, Git, Linux, APIs, SQL, databases, data modeling, enterprise integration, Docker, cloud, IAM, CI/CD, observability, Generative AI, RAG, tool calling, Agentic AI, evaluation, security, system design and customer discovery.
Yes, production engineering knowledge is highly valuable. FDEs often need to deploy and operate solutions in real enterprise environments, so Docker, IAM, CI/CD, observability and competence on a major cloud platform provide a strong foundation.
Not exclusively. Modern FDE roles often involve Generative AI, enterprise data, Agentic AI and cloud deployment, but the objective is to solve the business problem—not to use AI for its own sake.
Yes. Each background already provides part of the FDE skill stack. The transition involves keeping your technical depth while developing missing capabilities across software, data, cloud, AI, enterprise integration and customer problem-solving.
Freshers can begin building FDE capability, but many true FDE roles require independent technical judgment in complex environments. Early-career roles such as Software Engineer, Backend Developer, Data Engineer, Cloud Engineer, AI Engineer, Platform Engineer, Implementation Engineer or Solutions Engineer can provide useful foundations.
No. FDE hiring requires evidence of engineering ability, architecture, deployment, problem-solving, communication and ownership. A strong portfolio is therefore important.
Look for practical coverage of software engineering, Python, SQL, APIs, cloud, Docker, AI/LLM systems, Agentic AI, security, observability, architecture, customer discovery and end-to-end projects. The training should teach you to solve and deploy real problems rather than simply follow tutorials.
The FDE course duration is 6 months with 50 hours of structured training, including the FDE project.
The course fee is INR 48,950/-. No-Cost EMI is available for eligible learners.
Build the ability to move from ambiguous business requirements to working production solutions. Develop software, data, cloud, AI, integration and system-design skills around measurable outcomes. 6 Months • 50 Hours including FDE Project • INR 48,950/- • No-Cost EMI Available.
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