AI BootCamps (6 Courses)
Career Oriented
Course Category Course Category 
Google Rating
Professionals Upskilled
Live Cohorts Delivered
Enterprise Teams Trained
According to MIT's 2025 "State of AI in Business" study, 95% of Gen AI pilots fail to deliver measurable business return, the gap isn't the technology, it's the absence of engineers who can take AI from prototype to production. The AI Forward Deployed Engineer (FDE) Bootcamp is an intensive 90-hour program (80 hours live, practitioner-led instruction + 10 hours self-paced) that takes you from AI foundations to enterprise AI delivery. You will master Python, Prompt Engineering, LLMs, RAG, AI Agents, Multi-Agent Systems, MCP, evaluation frameworks, cloud deployment, enterprise integrations, AI governance, and solution architecture before applying everything in a real-world enterprise capstone.
By the end of the bootcamp, you will be able to discover customer requirements, design enterprise AI architectures, build production-grade agentic systems, integrate with enterprise platforms, deploy securely to the cloud, and confidently present AI solutions to business stakeholders.
80 hours live, practitioner-led instruction + 10 hours self-paced training
Ship agents that survive contact with production - not just prototypes that work in a demo
Present AI ROI to a VP as confidently as you'd explain it to another engineer
Walk into a client discovery call and leave with a scoped, sellable AI solution
Be the person leadership calls when a pilot needs to become a real deployment
Own the full delivery lifecycle — discovery, architecture, build, integration, security, adoption — instead of just the "build" part most AI courses stop at
Graduate with proof, not promises: 3 capstones built for interviews, not just for grading
Forward Deployed Engineer Job Statistics
Illustrative distribution based on FDE Pulse hiring data, 2026
YoY growth in FDE job postings (2025)
Median US base salary, 2026
India salary band, junior to senior
Surge in India FDE postings, 2026
Principal-level total comp at frontier AI labs
Of an FDE's time spent coding
Python for AI work, REST APIs, JSON, calling LLM APIs, environment setup.
Fundamentals How LLMs work, prompt engineering, structured outputs, context management.
Embeddings, vector databases, chunking, retrieval pipelines, working RAG app.
Agent loops, function/tool calling, MCP, memory, single-agent builds.
LangGraph, CrewAI, orchestration patterns, agent-to-agent workflows.
Evals, guardrails, error handling, testing agent behavior, cost & latency optimization.
Docker, CI/CD, AWS/Azure/GCP deployment, monitoring, logging, observability.
Group capstone across BFSI, Insurance, Healthcare & Retail – build a production
agentic system end to end.
The FDE role & enterprise AI lifecycle, ROI framing, discovery calls, requirements
docs, use-case prioritization, mock discovery practice.
Enterprise AI solution architecture & integration patterns – OAuth, webhooks, REST, MCP – hands-on with Microsoft Teams, SharePoint, Salesforce, Jira, ServiceNow & Slack (SAP optional).
RBAC, secrets, audit logging, compliance awareness, AI governance, executive
demos, adoption workshops, objection handling.
To fast-track your career and achieve
Build an enterprise AI digital workforce agent – HR Assistant, IT Service Desk,
Procurement, Knowledge or Customer Support – integrated with Teams/Slack +
Jira/ServiceNow + knowledge base, with RBAC, audit logs & cloud deployment.
Presented as a client engagement pitch. ~6–8 hrs self-paced build.
To effectively position and launch a new energy drink in a competitive market by leveraging autonomous agents for market intelligence and strategic planning.
A beverage company is preparing to launch a new energy drink. Success depends on understanding market trends, identifying consumer preferences, and creating a compelling product positioning strategy.
There is no exam for this Forward Deployed Engineer bootcamp. Completion of the capstone projects serves as the final evaluation for the program.
No prior experience in FDE bootcamp is required. However, to ensure everyone starts with the same foundation, participants must complete the following:
Python for AI Fundamentals (6 Hours)
Covers essential Python concepts used in AI applications, automation workflows, and agent development. This should be completed before the training begins.
Note: These foundational topics will not be covered during the live training and are essential for participating in hands-on labs and agent-building exercises.
Your resume, LinkedIn, and GitHub — optimized by industry professionals to stand out to recruiters and land interviews faster.
Practice real technical and behavioural interviews with honest feedback from people who actually hire for AI roles.
Work directly with industry veterans to position yourself for AI roles — covering job search strategy, communication, and career planning.
Get direct visibility with active hiring managers. Understand what they actually look for — and how to stand out in competitive AI hiring pipelines.
I took the FDE bootcamp at Agile Fever and had a great experience. Curriculum is well-structured, practical, and focused on real-world applications. The instructor explained concepts clearly and provided hands-on guidance throughout the bootcamp. Capstones are really good to have on resume.
This is a well structured bootcamp. I have gained lots of practical experience and glad i am enrolled for this bootcamp. Worth every penny.
Very well structured hands-on bootcamp. Thank you for the support throughout the bootcamp.
A Forward Deployed Engineer (FDE) is a technology professional who works directly with customers to understand business challenges, design technical solutions, build production-ready applications, and deploy them in enterprise environments. Unlike traditional software engineers, FDEs combine software engineering, solution architecture, consulting, and customer engagement skills to deliver end-to-end business outcomes.
An AI Forward Deployed Engineer specializes in designing, building, deploying, and optimizing enterprise AI solutions using Generative AI, Agentic AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and Multi-Agent Systems. They bridge the gap between AI technology and business requirements by delivering production-ready AI solutions.
A Forward Deployed Engineer works closely with customers to:
These responsibilities closely mirror the end-to-end workflow taught in the AgileFever AI Forward Deployed Engineer Bootcamp.
Forward Deployed Engineering is the practice of embedding technical engineers with customers to solve real business problems through solution design, implementation, deployment, and continuous optimization. It combines engineering, architecture, consulting, and product thinking to deliver measurable business value.
The program is 80 live + 10 self-paced hours with hands-on labs, real-world projects, capstone implementation, mentor guidance, and continuous support throughout the bootcamp.
A Software Engineer primarily builds software products, while a Forward Deployed Engineer works directly with customers to understand business needs, design customized solutions, integrate enterprise systems, and deploy production-ready applications. FDEs combine technical expertise with solution architecture, consulting, and stakeholder communication.
To become a Forward Deployed Engineer, you should build expertise in:
The AgileFever AI Forward Deployed Engineer Bootcamp follows this structured progression across five learning phases and 11 modules.
Successful AI Forward Deployed Engineers typically have skills in:
Organizations are rapidly adopting Generative AI and Agentic AI but need professionals who can move beyond prototypes to production — MIT’s 2025 research found 95% of GenAI pilots fail to deliver measurable business return. AI Forward Deployed Engineers close that gap: they identify AI opportunities, architect enterprise-grade solutions, integrate with existing systems, and deploy securely. That’s why FDE job postings grew 1,165% YoY in the US and 729% in India in 2026, with median US base salaries of $183K–210K — making it one of the most sought-after roles in enterprise AI.
Yes. The bootcamp is designed for software engineers, AI engineers, solution architects, cloud engineers, consultants, and experienced IT professionals who want to build and deploy enterprise AI solutions while gaining practical, production-ready experience.
You’ll build production-ready AI applications, Retrieval-Augmented Generation (RAG) systems, AI Agents, Multi-Agent Systems, enterprise integrations, cloud-deployed AI solutions, and an Enterprise AI Digital Workforce Capstone that demonstrates end-to-end AI solution delivery.
After completing the bootcamp, you will continue to have access to course recordings, learning resources, the AgileFever community, and career support services, including resume guidance, LinkedIn optimization, GitHub portfolio reviews, and mock interview preparation.
Yes. The capstone project is designed to be portfolio-ready and peer-reviewed.
