Vilva Athiban

Lead AI Engineer, Built omio.ai

Lets understand different departments of AI Engineering

You will understand what AI Engineering, Agent AI, Inference Engg, FDE etc and what skills are required for each.

Different parts of AI Engineering

After understanding the different roles, you could choose the one to upskill in and get a job

Make your next career choice

You wont be confused anymore with different roles. You will learn to differentiate Applied AI Engineer and ML Engineer

Avoid confusions to common terms

To build AI agents that create real value for people and companies. Without the fluff.

Founder & CEO @ AI Makerspace

AI Makerspace

FourthBrain

University of Dayton

Wright State University

Dr. Greg Loughnane, Ph.D.

Author of The AI Engineering Bootcamp Book

Founder @ Hikari Labs, OSS @ Semantido

HSBC

Deutsche Börse Group

Google

Dr. Dragos Crintea, Ph.D.

Semantic Layers for Production

AIE10

AIE11

🏆 The longest-running AI Engineering Bootcamp on Maven (since January, 2024)📚 Every enrollment includes the textbook: <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.amazon.com/dp/1394324057?lv=shuf&amp;channelId=500&amp;plpRedirect=mhFallback">The AI Engineering Bootcamp Book</a>, published by Wiley (preprint PDF available immediately on signup!).We promise to get you building 🏗️, shipping 🚢, and sharing 🚀 live in class, and to get you noticed on <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/company/ai-maker-space">LinkedIn</a>.🧑‍💻 Guaranteed to get you building a personal GitHub portfolio of projects that you can talk about in detail!This course is for you if:<ol><li>You want to write code every day</li><li>You want to become an AI Engineer</li></ol>This course is NOT for you if:<ol><li>You prefer low-code courses (this is too advanced)</li><li>You want to be a <a target="_blank" rel="noopener noreferrer nofollow" href="https://maven.com/aimakerspace/ai-fde-certification">Forward Deployed Engineer</a> (this course is too basic)</li></ol>In 6 weeks, you'll:<ul><li>Learn the concepts you need to know about RAG, Agents, and Evals to be dangerous</li><li>Have the boilerplate clean code for implementation with leading frameworks that will scale to production</li><li>Be able to build end-to-end applications on your personal machine using your GitHub account</li><li>Develop the critical habit for success of building 🏗️, shipping 🚢, and sharing 🚀 weekly.</li></ul>For more information:<ol><li>Check the <a target="_blank" rel="noopener noreferrer nofollow" href="https://docs.google.com/document/d/1onNOmjOdn7NlWGhzbdU82X7vbd4XdXUoE22i5ymHgcc/edit?usp=sharing">detailed curriculum</a> and the <a target="_blank" rel="noopener noreferrer nofollow" href="https://aimakerspace.io/the-aie-bootcamp-changelog/">curriculum changelog</a></li><li>Learn about our <a target="_blank" rel="noopener noreferrer nofollow" href="https://aimakerspace.io/graduates/">Certified Graduates</a></li></ol>

Understand the core concepts and code behind AI Engineering

🤖 Become fluent in AI Engineering

🔤 Learn to engineer and optimize Context

🦾 Understand the foundational concepts and code of AIE

📈 To play the game of AI Engineering in the market

🧑‍💻 Actually learn about AI app code; our Certification demands competence

Software engineers and developers who have realized (or been mandated) that it's time for them to learn AI.

Data Scientists &amp; ML engineers who have already waited too long to learn this stuff.

Analysts, Consultants, and Product people that are serious about digging into the code because they've taken other courses already.

Build the technical judgment and customer-facing skills to take an AI agent from ambiguous requirements to production.

AI Educator to 145k Linkedin 

Meri Nova

Technical founder, 145k LInkedin community

Senior AI Engineer, Investor & Advisor

Hai Nghiem

Investor | Builder

V3 (Cohort 4)

AI Forward Deployed Engineer

Forward Deployed AI Engineers work directly with customers and stakeholders - to uncover the real problem, - turn ambiguous requirements into a build plan, - make pragmatic technical decisions, - and ship a solution into production. In this 4-week hands-on bootcamp, you will practice the full lifecycle of Forward Deployed AI Engineering. You will learn the foundations behind the modern AI agentic projects, build with a practical full-stack agent stack, gather and prioritize requirements, work through realistic customer scenarios, and take a final project from proof of concept to production. This is not a collection of disconnected AI tutorials, but a guided simulation of the work an FDE is expected to do. Taught by leading AI Forward Engineering firm in Canada, <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.agiventures.ca/">AGI Ventures.</a>

Go from building AI demos to delivering AI systems people can actually use.

Understand modern AI agents and their harnesses

Be job-ready for AI FDE roles

Navigate difficult conversations with multiple stakeholders

Compre and make trade-offs in making architectural decisions

Move from proof of concept to production

Software, product, AI, and ML engineers who can build applications and want to move into applied AI or forward deployment.

Solutions architects, technical consultants, and technical PMs who want stronger requirements, stakeholder, and production-delivery skills.

Career switchers, founders, and professionals with development experience who need a credible path from customer problem to production.

The skills you need to succeed as an AI Forward Deployed Engineer in production environments.

Cohort 2

Author, The AI Engineering Bootcamp Book

AI Fund

Building industry-leading AI training for engineers and teams since 2021

Author, LLMs in Production

Matthew Sharp

Matt Sharp is a seasoned leader and professor in AI, MLOps and Engineering. 

Information Systems Engineer at Adobe

Tyler Laughlin

A background in BI, data science, machine learning, and cloud-native apps.

Cohort 1

Cohort 3

The authors of <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.amazon.com/AI-Engineering-Bootcamp-Build-Share/dp/1394324057">The AI Engineering Bootcamp Book</a> teamed up with the authors of <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.amazon.com/LLMs-Production-language-successful-products/dp/1633437205">LLMs in Production</a> to produce this advanced, comprehensive, one-of-a-kind course spanning Q1 2027.To compete with AI Forward Deployed Engineers at leading AI labs like Anthropic and OpenAI, you need to scope customer problems, build and test AI prototypes with users, deploy prototypes to existing production environments, and secure, operate, and improve production applications at scale that generate real ROI.This course is for you if:<ol><li>You truly believe that you can be a unicorn AI FDE, or</li><li>You're part of an FDE team of 2-3 people taking the course, and</li><li>You have direct support from your company or client to access users, engage with stakeholders, and drive one project from pilot to production in 10 weeks</li></ol>This course is NOT for you if:<ol><li>You do not work at a company, or</li><li>You work at a company, but they do not support you driving AI transformation</li></ol>If you're too early in your AI career journey for this course, check out <a target="_blank" rel="noopener noreferrer nofollow" href="https://maven.com/aimakerspace/ai-eng-bootcamp">The AI Engineering Bootcamp</a> as a first step.

The industry-standard certification for production AI FDEs.

Scope problems & their solutions better than Anthropic & OpenAI FDEs 

Apply best-practices from MVP to production

Understand why open weights matter and how to use them

Embrace evals as the language that connects business to engineering

Understand why security and adversarial techniques are first-class issues

Understand scaling and what it takes from product and engineering perspectives

VSCode with GitHub Copilot (or equivalent) should be your daily driver already.

Git & Python mastery, Coding Agent (e.g., Claude Code or Codex) proficiency

If you have never held a job where you contribute code to a production software environment, this class is not for you.

Experience writing code that is deployed to production software environments

This means an understanding of training, testing, and inference for various model architectures, including LLMs

Machine Learning & Deep Learning fundamentals

Engineers working full-time inside a company that are prepared to bring a real use case from work and iterate on the AI solution weekly.

If you are a startup founder, consultant, big tech employee, or currently unemployed, this course is likely NOT for you.

If you are unable to get sponsorship from your company to take this course, this course is likely NOT for you.

Learn to turn ambiguous customer problems into production AI systems, and become the engineer who can own outcomes end to end.

DeepTech Entrepreneur, Technology Leader

Oracle

Yatra

Apparel Group

ANKUR NARANG

Three decades building HPC and AI systems processing billions of transactions

AI & ML Leader, Venture Partner - DCX

Adda247

Hike

Mobileum

Kush Khurana

AI product and deep-tech builder, Visiting Professor at Ashoka University

BTech & MTech IIT Mumbai. AI Lead

Tata Consultancy Services

Unify

Madhusudan Kumar

BTech & MTech IIT Mumbai. AI Lead with solid Agentic Experience

AI companies don’t just need engineers who can build models or agents. They need people who can take an ambiguous customer problem, understand the workflow, design the right AI solution, integrate it with existing systems, deploy it reliably, and prove business value.That is the job of a Forward Deployed AI Engineer.Most AI courses teach you how to use a model, build an agent, or work with a framework. This course teaches you how to own the full journey from customer discovery to production deployment.You’ll learn how to work through messy data, legacy APIs, unclear requirements, security constraints, unreliable AI behavior, changing stakeholder needs, cost, latency, and adoption challenges.Through hands-on builds, architecture exercises, enterprise scenarios, and a capstone, you’ll learn to operate at the intersection of AI engineering, software architecture, customer discovery, product thinking, and business outcomes.The goal: become the engineer who can make AI actually work inside a real organization.

Become the AI engineer who turns real customer problems into production systems

Turn ambiguous customer problems into solvable AI opportunities

Architect production-grade enterprise AI systems

Build AI solutions that work beyond the demo

Evaluate, secure, and operate reliable AI applications

Own customer deployment, adoption, and measurable business value

Operate end-to-end like a Forward Deployed AI Engineer

Software, AI/ML, or data engineers who want to move from building components to owning end-to-end customer AI deployments.

Solutions architects, technical consultants, and implementation engineers moving into customer-facing AI and Forward Deployed roles.

Technical product managers, founders, and startup engineers who need to turn ambiguous business problems into deployable AI systems.

Agentic AI

Coding with AI

AI Workflows

Claude Code

OpenClaw

Vibe Coding

AI Evals

AI Transformation

RAG & Search

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product Sense

Product Discovery

User Research

Prototyping

Growth

Analytics

Tech Foundations

Strategy

Influence

Leadership

Career Growth

Machine Learning

LLM Ops

Context Eng

Security

System Design

Figma

Design Systems

Visual Design

Design Strategy

Automation

Content Marketing

Demand Gen

Product Marketing

Positioning

Social Media

Brand

B2B Marketing

SEO & AEO

AI for Leaders

AI Governance

Communication

Management

People Operations

Exec Presence

Storytelling

Goal-setting

Personal Brand

AI for GTM

Sales

Customer Success

GTM Engineering

Everyone

Founders

Operators

Data Scientists

Business Analysts

User Researchers

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

Engineers and engineering leaders who build, deploy, and scale software systems.

Contacted the instructor with edits needed for listing

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Getting promoted, navigating job transitions, and advancing to the next level in your career.

Lets understand different departments of AI Engineering

What you'll learn

Why this topic matters

You'll learn from

Vilva Athiban