Want to become a Forward Deployed Engineer (FDE), AI Engineer, GenAI Engineer, Cloud Engineer or DevOps Engineer? Companies now need engineers who can build AI applications, connect AI agents to enterprise systems, deploy them on the cloud and run them reliably in production. Cloud Soft Solutions' FDE + AI + Cloud + DevOps training teaches that whole path to freshers, developers, cloud engineers and working professionals.
Dates: free demo and new batch
| Session | Details |
|---|---|
| Program | FDE + AI + Cloud + DevOps |
| Backup demo (free) | Saturday 14 November 2026, 11:00 AM IST, live on Zoom |
| Regular classes start | Monday 16 November 2026, 11:00 AM IST |
| Mode | Live online, plus classroom in Ameerpet, Hyderabad |
How to join the demo: message us on WhatsApp or call +91 96660 19191, and we'll send the Zoom link. Registered learners use the same link for regular classes. We share it only with registered participants, so it isn't posted here.
Watch the FDE full course video first
See the training approach, the technology stack and real-time project demonstrations before you join.
Also worth a minute: our latest placement update, 2 placements in top MNCs (read the post).
What is a Forward Deployed Engineer?
An FDE works where software engineering, AI, cloud infrastructure and customer problem-solving meet, and takes a solution from the customer's requirement to a working production system. Typical work:
- understanding the business problem and designing an AI solution;
- building LLM applications, RAG systems and AI agents;
- integrating enterprise APIs and databases;
- deploying on AWS or Azure with Docker, Kubernetes and CI/CD;
- monitoring, troubleshooting and improving the system in production.
In short, an FDE can build, integrate, deploy and operate real AI solutions. More detail: what is a Forward Deployed Engineer and FDE vs AI Engineer vs GenAI Engineer.
Why learn FDE, AI, cloud and DevOps together?
Take a bank that wants an AI assistant answering customer questions from its internal policies. Building it needs every one of these skills:
- Python: back-end services and REST APIs with FastAPI.
- Generative AI: an LLM that writes the answers.
- RAG: policy documents in a vector database, retrieved for every question.
- Agentic AI: LangGraph agents that call tools and enterprise APIs.
- Cloud: deployment with Amazon Bedrock, S3, Lambda, ECS or EKS.
- DevOps: CI/CD with Jenkins or GitHub Actions, and Terraform.
- Operations and security: logging, monitoring, access control and guardrails.
See it built step by step in the banking AI assistant project.
Technology stack covered
- Python and back end: core and advanced Python, OOP, exceptions and modules, FastAPI, REST APIs, databases and deployment.
- Generative AI and LLMs: how LLMs work, prompt engineering (zero-, one- and few-shot), embeddings, semantic search, vector databases, RAG, LangChain, LlamaIndex, evaluation.
- Agentic AI: agent architecture, tools and function calling, LangGraph nodes, edges and state, conditional routing, multi-agent and human-in-the-loop workflows, checkpointing and memory, MCP.
- AWS for AI: Amazon Bedrock, Knowledge Bases, Guardrails, S3, Lambda, API Gateway, ECS and EKS, IAM, CloudWatch. See the Bedrock engineer roadmap.
- Azure for AI: Azure OpenAI models in Microsoft Foundry, Azure AI services, Azure AI Search, Functions, App Service, AKS, Microsoft Entra ID.
- Cloud architecture: VPC and VNet networking, compute, storage, identity, load balancing, auto scaling, security, high availability and disaster recovery.
- DevOps: Git, Jenkins, GitHub Actions, Docker and Compose, Kubernetes, Helm, EKS, AKS, Terraform, Ansible, Argo CD and GitOps, Prometheus and Grafana, DevSecOps and SRE basics.
Real-time projects
The flagship FDE PRO program runs 12 weeks with 120+ hours of live training, 5 enterprise projects and a capstone. Project examples:
- Enterprise RAG application: a document assistant with LangChain, embeddings and a vector database.
- Agentic AI application: a multi-step LangGraph agent with tools, APIs and conditional flows.
- Banking AI assistant: retrieval, guardrails, security and enterprise integration.
- AI application on AWS: a production-style deployment on AWS services.
- CI/CD automation: a deployment pipeline with Docker, Jenkins, Kubernetes and Terraform.
- Production monitoring: logging, alerting and dashboards for the deployed application.
For more portfolio ideas, see 25 agentic AI projects for your résumé.
Who should join?
- Freshers starting in AI, cloud or software engineering. Read can freshers become AI FDEs?
- Software developers moving into GenAI, agentic AI and enterprise AI.
- AWS and Azure engineers adding AI to their cloud skills.
- DevOps engineers heading towards AIOps, MLOps and AI platform roles.
- Working professionals and career switchers ready for structured, practical learning.
Roles these skills lead to
Forward Deployed Engineer, AI Engineer, Generative AI Engineer, Agentic AI Engineer, Python Backend Developer, AI Solutions Engineer, AWS or Azure Cloud Engineer, DevOps Engineer, Cloud Platform Engineer, MLOps Engineer and AI Infrastructure Engineer. Completing a course doesn't guarantee a job: your skills, projects, experience and interview performance decide it. Prepare with FDE interview questions, follow the FDE roadmap, and see FDE jobs in Hyderabad and our live jobs board.
Why Cloud Soft Solutions?
- Instructor-led training with real-time implementation.
- Hands-on assignments and enterprise use cases.
- Cloud and AI taught together, not as separate tools.
- Résumé preparation, mock interviews and placement assistance.
- Classroom and live online batches.
5,500+ learners placed since 2011. Explore FDE PRO, AI, cloud and DevOps training, all courses and our placement record. Missed the October session? Read the 28 October live project demo.
More FDE guides: developer to FDE · data engineer or scientist to FDE · solution design document · case-study interview · LLM cost estimation · handover runbooks.
Important dates
- Free backup demo: Saturday 14 November 2026, 11:00 AM IST (Zoom link on WhatsApp).
- Regular classes: Monday 16 November 2026, 11:00 AM IST.
Learn. Build. Deploy. Succeed.
Placement assistance depends on each candidate's eligibility, skills and interview performance, and on employers' selection. It is not a job guarantee.
📞 Call +91 96660 19191 · WhatsApp · Flat No. 513, 5th Floor, Nilagiri Block, Aditya Enclave, Ameerpet, Hyderabad
Frequently Asked Questions
What is FDE training?
Training in the skills needed to take a solution from business requirement to production: software engineering, AI, APIs, cloud infrastructure and enterprise integration.
Can freshers learn Forward Deployed Engineering?
Yes. Freshers with basic programming knowledge can start, building a foundation in Python, APIs, AI, cloud and deployment through projects.
Is prior AI experience required?
No. Programming fundamentals and consistent practice matter more.
What is the difference between an AI Engineer and an FDE?
An AI Engineer mainly builds and improves AI applications. An FDE also works with customers, integrates solutions into existing enterprise systems and delivers working production systems. Responsibilities vary by company.
Are AWS, Azure, LangChain and LangGraph covered?
Yes: GenAI application development, RAG, LangChain, LangGraph agents and deployment on AWS and Azure.
Are real-time projects included?
Yes. The flagship FDE PRO program includes 5 enterprise projects and a capstone over 12 weeks with 120+ hours of live training.
When do regular classes start?
Monday 16 November 2026 at 11:00 AM IST. A free backup demo runs on Saturday 14 November 2026 at 11:00 AM IST.
How can I join?
Call or WhatsApp +91 96660 19191 for the demo Zoom link, batch details, eligibility, fees and registration.
