Forward Deployed Engineer (FDE) Course in Mumbai

Forward Deployed Engineer course in Mumbai: build and deploy AI agents and RAG apps for real clients. Borivali West + online. 100% Placement Guarantee.

What you'll learn

Write production-quality Python, SQL and FastAPI backends with testing, authentication and webhooks.
Build LLM applications with structured outputs and tool calling across OpenAI, Gemini, Claude and open models.
Build RAG systems that answer from a company’s documents with citations and access control.
Build AI agents with LangChain, LangGraph and MCP that take real actions, with human approval for risky steps.

Test AI quality with evals and guardrails, and monitor cost, latency and errors in production.
Deploy on AWS with Docker, CI/CD and infrastructure as code.
Connect AI systems to CRMs, ERPs, email and Microsoft/Google workspaces.
Run client discovery, write scope documents, present demos and hand systems over with runbooks and training.

What is a Forward Deployed Engineer?

A Forward Deployed Engineer (FDE) is a software engineer who works directly with a customer. They scope, build, deploy and run production software, usually AI agents and LLM applications, inside that customer’s own systems. The FDE course at TryCatch Classes teaches both halves of the job: the engineering (Python, APIs, RAG, AI agents, AWS) and the client side (discovery, scoping, testing, A Forward Deployed Engineer (FDE) is a software engineer who works directly with a customer. They scope, build, deploy and run production software, usually AI agents and LLM applications, inside that customer’s own systems. The FDE course at TryCatch Classes teaches both halves of the job: the engineering (Python, APIs, RAG, AI agents, AWS) and the client side (discovery, scoping, testing,

Our Training Process

Practical Session

Assignment

Projects

Be Job Ready

Interview Preparation

Resume Building

Key Highlights

100% Guaranteed Placements
Personalised career coach
90% Practical Training
Official Certification
Study materials
Instant doubt solving
Mock Interviews & Live Projects
Case studies and Projects

Forward Deployed Engineer (FDE) Course in Mumbai

Python for Production

Core syntax, data types, control flow
Functions, lambda, comprehensions
OOP: classes, inheritance, dunder methods
File handling, exceptions, regex
Pandas & NumPy essentials, visualisation basics
APIs & JSON, web scraping, automation scripts
MySQL connectivity from Python
Virtual environments, pip / uv, requirements, project structure
Type hints and Pydantic models
Unit testing with pytest; fixtures and mocks
Logging, config with environment variables, .env files
Async basics: asyncio, concurrent API calls
Writing CLI tools (argparse / Typer)
Reading messy client files: Excel, CSV, PDF, email exports

Linux, Git & Developer Workflow

Linux command line: files, permissions, processes, ssh, scp
Bash scripting basics, cron jobs
Reading logs: tail, grep, journalctl
Networking basics: DNS, ports, HTTP(S), proxies, firewalls
Git branching, merge vs rebase, resolving conflicts
GitHub pull requests, code review etiquette, issues
Writing a good README and setup docs
Using AI coding assistants responsibly (review, test, never paste secrets)

SQL & Data Modelling

MySQL basics, CRUD
String and aggregate functions
Constraints and keys
Stored procedures
Joins, subqueries, CTEs
Window functions (ranking, running totals)
Indexes, query plans, transactions
Database design and normalisation for real business entities
PostgreSQL essentials and the pgvector extension
Data cleaning and validation before AI ingestion
Read-only access patterns on client databases (safety first)

DSA for Interviews

Big-O and complexity reasoning
Arrays, strings, hash maps, two pointers, sliding window
Stacks, queues, linked lists
Recursion and basic backtracking
Trees, BFS/DFS on graphs
Sorting and binary search
Weekly timed practice + mock coding rounds

Backend APIs with FastAPI

Installation and project setup
REST CRUD, path/query parameters
Pydantic validation
Auto-generated API docs (OpenAPI/Swagger)
Authentication: API keys, OAuth2/JWT
Async endpoints, background tasks, job queues
Streaming responses (for LLM output)
File and image uploads, object storage, server-side validation
Receiving and sending webhooks
Rate limiting, retries, timeouts, error handling
API testing with pytest + HTTP clients; Postman collections
Versioning an API without breaking clients

Shipping a User Interface

Rapid internal tools with Streamlit and Gradio
HTML/CSS essentials, forms, responsive layout (media queries)
JavaScript ES6+ essentials: DOM, events, fetch, async/await
React essentials: components, props, hooks, routing, forms
Calling the FastAPI backend (JSON, Axios/fetch), auth tokens
Chat UI patterns: streaming tokens, citations, feedback buttons

Docker & Containers

Images, containers, Dockerfiles, layers, multi-stage builds
Docker Compose for API + database + vector store
Environment variables and secrets in containers
Container registries (ECR/Docker Hub)
Kubernetes concepts: pods, deployments, services (overview level)
Debugging a container that works locally but fails in the client environment

LLM Engineering Fundamentals

Evolution of generative AI; transformers at a conceptual level
Open vs closed models; agents vs agentic AI
Prompt engineering
Providers: OpenAI, Google Gemini, Hugging Face, Llama
API usage, fine-tuning overview
Domain assistant use case; deployment considerations
Anthropic Claude and multi-provider abstraction
Structured outputs (JSON schema) and output parsing
Tool / function calling
Context windows, tokens, caching; estimating cost per request
Model selection: quality vs latency vs cost; when to use a small model
Running open models locally (e.g. Ollama) for data-sensitive clients
Document understanding: extracting fields from invoices, forms and scans
When not to use an LLM (rules, SQL or classic ML instead)

Retrieval-Augmented Generation (RAG)

Ingestion: PDF, DOCX, HTML, OCR
Chunking strategies
Embeddings and similarity search
Document Q&A use cases
Vector databases: pgvector, Chroma, a managed option (e.g. Pinecone)
Metadata filtering and access-controlled retrieval (users see only their documents)
Hybrid search (keyword + vector), re-ranking
Query rewriting, multi-step retrieval
Citations and grounded answers
Keeping the index fresh: incremental re-indexing, deletions
RAG evaluation: retrieval hit-rate, faithfulness, answer relevance
Tables and spreadsheets in RAG; text-to-SQL vs RAG

Agentic AI & MCP

LangChain agents, tools, memory
LangGraph workflows, conditional routing
Multi-agent collaboration
Research and autonomous agent use cases
Model Context Protocol (MCP): building and connecting MCP servers to company tools
Human-in-the-loop approvals for risky actions (payments, emails, deletes)
Workflow vs agent: when a fixed pipeline beats an autonomous agent
State, checkpoints and resuming long-running tasks
Failure handling: retries, fallbacks, loop limits, timeouts
Low-code orchestration for client handover (n8n / Power Automate overview)
Voice and multimodal agents (overview + demo)

Evals, Guardrails & Observability

Why AI pilots fail in production
Building a golden test set from client examples
Offline evals: exact-match, rubric scoring, LLM-as-judge (and its limits)
Regression testing for prompts and model upgrades
Hallucination, refusal and safety checks
Guardrails: input/output validation, topic limits, PII filters
Tracing and observability with tools such as LangSmith or Langfuse
Dashboards for latency, cost per task, error rate, user feedback
A/B testing prompts and models
Writing an evaluation report the client’s manager can understand

Cloud Deployment on AWS, CI/CD & IaC

Cloud concepts, environment management
Core AWS services: EC2, S3, IAM, serverless (Lambda)
CI/CD with GitHub Actions
Docker and Kubernetes deployment
ML/LLM deployment and hosting
Secrets management, object storage
Log analysis, application performance monitoring
Managed LLM services (e.g. Amazon Bedrock) vs direct APIs
Infrastructure as Code basics (Terraform or AWS CDK)
Networking: VPC, private subnets, security groups
Deploying into a client’s own cloud account (cross-account access)
Cost monitoring and budget alerts
Rollbacks, blue/green deployment, zero-downtime updates
Overview: Azure and GCP equivalents for clients on other clouds

Enterprise Integration

Integration patterns: REST, webhooks, polling, batch files (SFTP/CSV)
SSO and enterprise auth: OAuth2, SAML concepts, service accounts
Working with CRM/ERP APIs (e.g. Salesforce, Zoho, SAP overview)
Google Workspace and Microsoft 365 APIs: mail, calendar, sheets, SharePoint
Email and document pipelines (inbox → extraction → system of record)
Idempotency, retries, dead-letter queues; never double-post a transaction
Data mapping between systems; handling bad and missing data
Working within client constraints: VPNs, firewalls, legacy systems, change windows

Security, Data Privacy & Responsible AI

OWASP Top 10 for LLM Applications (prompt injection, data leakage, excessive agency)
Defending against prompt injection in RAG and agents
PII detection and redaction; data minimisation
Role-based access control and audit logs
Secrets handling, key rotation, least-privilege IAM
India’s Digital Personal Data Protection (DPDP) Act basics for client data
Data residency and choosing models/regions for sensitive data
Bias, fairness and explaining AI decisions to end users
Answering a client’s security questionnaire

System Design for AI Systems

System design fundamentals: load balancing, caching, queues, databases, scaling
Reference architectures: RAG assistant, document-processing pipeline, agent with tools, chatbot on WhatsApp/web
Latency and cost budgets; batching and caching LLM calls
Reliability: failure modes, fallbacks, graceful degradation
Build vs buy vs configure an existing platform
Writing an architecture document and diagram
Design review practice: present and defend to a panel

Business Understanding & Customer Discovery

How businesses work: revenue, cost, process, KPIs
Domain primers: finance, digital marketing, pharma, IT services, operations
Running a discovery interview: open questions, listening, follow-ups
Workflow mapping: as-is vs to-be process, swimlanes
Finding the real pain: time, cost, errors, compliance risk
Defining success metrics and a baseline (what “good” looks like)
Estimating ROI and building a simple business case
Identifying stakeholders: sponsor, users, IT, security, finance

Solution Scoping, Delivery & Handover

Writing a problem statement and a scope document
Phasing: proof of concept → pilot → production
Estimating effort and risk; saying no to scope creep
Agile delivery for client projects: sprints, demos, change requests
User acceptance testing (UAT) with real users
Go-live checklist and rollback plan
Runbooks, admin guides and user training sessions
Handover to the client’s team; support and maintenance plans
Feeding field learnings back to the product team

Client Communication & Consulting Skills

Explaining AI to non-technical people, including limits and risks
Running demos that land; handling live failures calmly
Status updates and weekly reports: what’s done, what’s blocked, what’s next
Writing clear emails, meeting notes and decision logs
Managing expectations and delivering bad news early
Negotiation basics: trade-offs between time, scope and quality
Presentation practice with feedback, recorded and reviewed

Reporting with Power BI

Power BI Desktop, Power Query, data modelling
DAX essentials, visuals, AI visuals
Row-level security, Power BI Service, sharing
Mini-project: “AI impact dashboard” (hours saved, accuracy, cost)

Capstone Projects

Invoice and PO reconciliation agent that reads invoices, matches them against an ERP export, and flags mismatches for human approval
Campaign reporting assistant that pulls ad-platform data, writes the weekly client report and answers questions about performance
SOP and regulatory document Q&A with citations, access control and an audit trail
Support-ticket triage agent that classifies, routes and drafts first responses with knowledge-base links
Vendor-email processing pipeline: inbox → extraction → system of record, with exceptions queue

Skills you will gain

FDE Training Python Data Structures & Algorithm Training Fast API LLM RAG Agentic AI AWS Cloud Computing HTML CSS Javascript React JS Microsoft Power BI

Course Certification

Become a Certified FDE Expert with TryCatch Classes and enhance your career prospects to the next level.

This certificate serves as an official badge of your successful training course completion, highlighting your expertise.

Students Reviews

I tried learning from online courses, but it didn’t work out. So, I enrolled in the MERN Stack course at TryCatch Classes. I really liked the way they teach and how they solve student queries. Within just one week of enrolling, I knew I had made the right decision. The hard work and dedication of both my teachers and me helped me land my current job with an ₹11 LPA package

Nilay

Full Stack Developer

I completed Full Stack from TryCatch Classes and cracked my first interview during college. Now I’m working as a software developer earning ₹4.5 LPA. Their practical training helped me a lot. I even bought my first bike with my own money a proud moment. If you’re thinking about joining TryCatch, just go for it!

Jitesh

Full Stack Developer

I was lost and confused about my career path until I joined TryCatch Classes. The course helped me gain clarity and direction, and the supportive learning environment helped me succeed. I am now a MERN Stack Developer and I am grateful to TryCatch Classes for helping me achieve my dreams.

Bhavana

Full Stack Developer

Aditya Mali

Full Stack Developer

I wanted to switch my career from software testing. So, I took a MERN stack development course at TryCatch Classes and got a job as a full-stack developer. Their excellent teaching & guidance helped me a lot. In the next 6 months, I expect a 50-60% raise in my salary.

Chintan

Full Stack Developer

Jane Doe

Software engineer
Ola

Genuine reviews for our Forward Deployed Engineer (FDE) Course in Mumbai

Aditya Mali

Full Stack Developer

I had enrolled for Full Stack Web Development Course in TryCatch Classes. This course has changed my vision and aspect of my career. Got to learn everything from scratch. Faculty was very professional and helpful throughout the course. Mehul and Monish sir helped me till the end in every way. To build my resume, to crack interviews in every possible way they were there with me. After completing this course i got a Job as Jr Software Developer via TryCatch Classes. I am very thankful to each and everyone from Try Catch to make me a better than before!

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Shagufta Khan

Full Stack Developer

I did MERN stack course in Try Catch class and got a Full Stack developer job with the help of my mentor Mr Mohnish sir and Mehul sir. A very good class to upgrade your skills and faculties are extremely knowledgeable and quite supportive. After every topic, assignments were allotted to check our understanding of the topic and doubts were timely resolved. Mehul & Mohnish Sir are very good and regularly inquire about the studies. Other Faculties are equally good . I highly recommend this class to anyone who’s looking for a good start to their professional career

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Bhagyashri Gunjate

Full Stack Developer

Hi my name is Bhagyashri Gunjate. I have completed full stack web development course from Trycatch and saying this happily that I also got my first job 2lacs per annual. Although I have gap of 4 years after completing my engineering Mohnish and Mehul sir gave me confidence that I can do it and at this age also I can be succeed in web development field. Talented and passionate faculty helps me to resolve my query and enable my base strong. They initiated new ways of thinking to improve project query and my personal performance as well. Also this helps me to improve my speed to produce codes faster and get things done more accurately. Mehul Sir and Monish Sir was so helpful that they always kept my motivation and confidence high. They gave me projects that are more skilful and as per industry standards which directly helps me to get my first job journey. I highly recommend Try Catch classes to everyone who wanted to upscale their knowledge and career in Web Development field.

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Bhagyashri Gunjate

Full Stack Developer

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Divya Sharma

Full Stack Developer

After completing my Engineering in EXTC, I wanted to pursue my career in IT but I also hated coding. I was confused as to which path should I choose. I had interest in web designing so I googled offline coaching institute and got to know about TryCatch. I thought of giving it a try and it was the best decision of my life as I was able to catch the concepts and was able to do coding and applying logics on my own that shook me to core as my hate transformed to love. Now I am a totally changed person who loves logic based coding needed in JavaScript, React JS and Node JS along with design based coding such as HTML5, CSS3 and bootstrap. I completed my MERN Stack course and got placed as a Front End Developer which I always dreamt to be. My Sincere thanks to Mehul Sir, Mohnish Sir, and Devesh Sir.

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Divya Sharma

Full Stack Developer

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Hrishikesh Netke

Full Stack Developer

It’s been an exceptional journey for my mern stack tech , TryCatch will not just teach you things from the syllabus, it will give you a complete experience of how things are in real world. Big hug to both pillars of trycatch, Mohnish Sir and Mehul sir . A journey to be remembered and full of fun!

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Zagesh Rathod

Full Stack Developer

I come from commerce background but TryCatch took the responsibility on themselves and made sure that I understand every concept. There are some amazing mentors in TryCatch. I’m glad I learnt my first programming language from her. Mehul sir is always supportive and helped me through my journey and sir arranged multiple interviews for me. I’m learning every day with the guidance of Mehul sir and Mohnish Sir, even after I completed the course they are still in touch with me and help me in any doubt that I ask. I highly recommend if you want to start your career in IT or if you want to learn new skills join this class.

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Software Developer

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Software Developer

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Software Developer

lorem

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Student's Portfolio

UX-UI Designer

Mansi Sanghani

UX-UI Designer

Mansi Sanghani

UX-UI Designer

Mansi Sanghani

UX-UI Designer

Mansi Sanghani

UX-UI Designer

Mansi Sanghani

UX-UI Designer

Mansi Sanghani

UX-UI Designer

Mansi Sanghani

UX-UI Designer

Mansi Sanghani

UX-UI Designer

Mansi Sanghani

UX-UI Designer

Success Stories

Start Learning — No Matter Your Experience Level

At TryCatch Classes, the focus is on hands-on learning and real-world projects, making the FDE course practical and easy to follow. For learners who prefer flexibility, the FDE engineer course online offers the same depth and mentor support. With a strong FDE course structure, TryCatch Classes also delivers a comprehensive FDE course that prepares students for real industry roles with confidence.

Frequently Asked Questions (FAQs)

What is a Forward Deployed Engineer?

A Forward Deployed Engineer (FDE) is a software engineer who works directly with customers to understand their business needs, build solutions, deploy software, and manage it in real-world environments. The role combines software engineering, consulting, and product development, with a strong focus on AI agents and LLM applications.

What will I learn in this FDE course?

You will learn Python, SQL, FastAPI, LLM Engineering, RAG, AI Agents using LangChain and LangGraph, MCP, AI evaluations, guardrails, monitoring, AWS deployment, Docker, CI/CD, and enterprise integration. You will also develop client communication, project scoping, demo, and handover skills.

How long is the FDE course?

The FDE training course takes approximately 7–8 months to complete. It includes 30 weeks of training, a 4-week simulated client capstone project, followed by placement assistance and interview preparation.

Who can join the FDE course?

This course is ideal for B.E./B.Tech, BSc IT/CS, BCA, and MCA graduates, as well as developers with 0–3 years of experience. Graduates from other educational backgrounds can also join if they have basic Python knowledge.

Do I need coding experience to join the FDE course?

Basic Python knowledge is sufficient to get started. If you are new to programming, an optional bridge week will help you understand programming logic, Python fundamentals, and essential tools before the main training begins.

Is the FDE course available online or offline?

Yes, the FDE course is available in both online and offline modes. Offline classroom training is conducted at our Borivali West centre in Mumbai, located at Gold Crest Business Center, L.T. Road. You can also attend live online classes.

Is there a 100% placement guarantee after completing the FDE course?

Yes, the FDE course comes with TryCatch Classes’ 100% Placement Guarantee. Students must meet the applicable eligibility criteria, including attendance requirements and successful completion of the capstone project.

What projects will I build during the FDE course?

You will work on a simulated real-world client project based on industries such as finance, digital marketing, pharmaceuticals, IT services, or business operations. You will gain practical experience in client discovery, project planning, development, evaluation, AWS deployment, and project handover.

How is the FDE course different from Agentic AI or Generative AI courses?

Agentic AI and Generative AI courses primarily focus on building AI applications. The FDE course goes a step further by teaching you how to deploy and manage these applications in real business environments, including client discovery, enterprise integration, AI evaluations, security, cloud deployment, and project handover.

Who teaches the FDE course at TryCatch Classes?

The FDE course is led by Mehul Prajapati, founder of TryCatch Classes, who has over 18 years of experience in IT and training. He has personally mentored more than 12,000 students, along with guidance from TryCatch’s industry trainers.

Will I receive a certificate after completing the FDE course?

Yes, you will receive a TryCatch Classes certificate of completion after successfully completing the FDE course. Your practical projects, capstone case study, and GitHub portfolio will also help demonstrate your skills to potential employers.