AI BootCamps (6 Courses)
Career Oriented
Course Category Course Category 
Google Rating
Professionals Upskilled
Live Cohorts Delivered
Enterprise Teams Trained
70% AI pilots are failing and FDEs are the answer to bridge this gap. The AI Forward Deployed Engineer (FDE) Bootcamp is an intensive 80-hour live, practitioner-led program 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.
Build LLM apps with Python, APIs and RAG pipelines
80+ hours of Live, hands-on training + 10 hours of self-paced foundation learning
Develop 10+ AI agent solutions using Azure AI and Azure AI Foundry
Design and orchestrate single and multi-agent systems
Evaluate, guardrail and harden agent behaviour
Deploy, monitor agentic AI on AWS, Azure, GCP and Ship a production capstone in a real industry vertical
Run enterprise discovery and write requirements docs
Design enterprise-grade AI solution architectures
Integrate agents with Teams, SharePoint, Salesforce, Jira, ServiceNow & Slack
Apply RBAC, secrets, audit and compliance controls
Demo to executives and drive user adoption
Deliver an enterprise AI digital workforce end to end
Get hiring-grade portfolio output with Deployed systems, case narratives, and architecture walkthroughs built for interviews.
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.
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 fast-track your career and achieve
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.
Build, secure, and deploy a real enterprise AI agent (HR, IT, Procurement, Knowledge, or CX), then pitch it like a client engagement.
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.
n8n Automation Fundamentals (4 Hours)
Introduces workflow automation, integrations, triggers, and AI-powered automation using n8n. After completing the program, participants will receive access to recordings, and learning materials will be provided for self-paced learning.
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.
As a Data Scientist, I joined AgileFever’s Agentic AI Bootcamp to strengthen my practical understanding of Agentic AI and prepare for the next stage of my career after a professional break. The learning was hands-on, practical, and focused on real-world AI implementation. It helped me sharpen my skills, improve confidence, and stay aligned with industry trends. Soon after, I transitioned into a Staff Data Scientist opportunity at Altimetrik
(~₹40 LPA from ~₹27 LPA). Highly recommended for experienced professionals looking to stay ahead in AI.
I recently completed the Agentic AI BootCamp by AgileFever, and it was an incredibly valuable learning experience.
The course provides a well-structured and practical approach to understanding Agentic AI systems. I particularly appreciated how it covered not just theory, but real-world implementation aspects like multi-agent orchestration, memory, reasoning, and tool integration. The hands-on exposure to cloud deployment and low-code/no-code automation workflows made the concepts much easier to grasp and apply… Read full testimonial here
When I started the Agentic AI Certification, my first impression was how technical and hands-on it is — there’s real coding involved, not just theory. The course covered AI fundamentals and then went deeper into actually building multi-agent applications using LLMs. By the end, I felt confident both creating these systems and explaining them clearly. The trainers were highly professional and clearly experienced. I’d definitely recommend this to developers who want practical understanding of LLM integration and real implementation experience.
I’d definitely recommend AgileFever — it’s one of the few places offering a well-structured learning experience in the fast-growing field of Agentic AI. The trainer’s real-world expertise and hands-on project work were incredibly valuable, and I’m already applying these AI skills in my current role. I was hesitant at first, but the smooth coordination and convenient session timings made it a really good decision and gave me a clear edge with this new technology.
I just completed the Agentic AI Bootcamp by AgileFever and highly recommend it to anyone serious about understanding agentic AI systems. The content quality is excellent, current, relevant, and clearly built by people who know this space deeply.
Like most courses in this fast-moving field, the course is built to stay dynamic and up to date, which makes the learning highly relevant, and that’s a small trade-off for the quality of knowledge you gain. AI is evolving faster than anyone can neatly package it, and this course keeps up where it counts.
If you want to stay ahead in agentic AI, this bootcamp is well worth your time.
I took the Agentic AI Bootcamp at Agile Fever and had a great experience. The sessions were well-structured, practical, and focused on real-world applications of agentic AI. The instructor explained concepts clearly and provided hands-on guidance throughout.
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 includes a total of 90 hours, which is 80+ hours of live instructor-led training, 10 hours of self-paced learning, 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 twelve 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. AI Forward Deployed Engineers help businesses identify AI opportunities, architect enterprise-grade solutions, integrate with existing systems, deploy securely, and ensure successful adoption, making them 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.
