AI Inference for Forward Deployed Engineering Roles

Abi Aryan

Computer Scientist, ML Engineer & Author

SELF PACED: How AI engineering is changing in 2027

This course is for students, software engineers, data scientists and AI PMs - people who are technical but not necessarily absolute LLM experts.

If you have ever

built your own deep learning models OR
have built agentic/RAG prototypes
know how to call the OpenAI API but not why it works the way it does
maybe even working as AI Engineer for 1-2 years or
you're a university student who took the traditional AI classes and build some projects yourself

and are now interested in upskilling for the newer AI engineering role shifts, then, this is the course is for you.

Please note - this is not a course on Agentic AI or RAGs - there are many excellent courses on Maven that excel at that. Consider this course as Inferencing 101 towards the infra expertise.

What you’ll learn

You'll understand what's happening inside AI models

Why LLMs work the way they do? Internals of LLM Architecture
Learning how to choose, fine-tune, quantize an LLM

Learn how to build an agent
How to add observability to it

Introduction to different serving engines
Deep-dive of the LLM Infra Tooling and Frameworks

How the model APIs work
Security Issues in model serving

Learning how to serve your models from your laptop
Introduction to cloud inferencing
Some common debugging issues in inference pipelines

How to calculate token costs?
All you need to know about KV Caching

Learn directly from Abi

Abi Aryan

Computer Scientist, ML Engineer and Author

Book Author (LLMOps, GPU Engineering for AI Systems)

See all products from goabiaryan

Who this course is for

Early Career Professionals in AI roles
University Students who have studied Deep Learning
You are decently technical but from an adjacent field

What's included

Live sessions

Learn directly from Abi Aryan in a real-time, interactive format.

Self-Paced Classes

Go through the lecture at your own convenience through the week. Then, every Sunday, we will work through the codelab together in the class, do a small quiz and take doubts regarding the material in LIVE Office Hour every week.

Lifetime access

Go back to course content and recordings whenever you need to.

Community of peers

Stay accountable and share insights with like-minded professionals.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Course syllabus

Week 1

Sep 4—Sep 6

Sep

Introduction Class

Fri 9/43:00 PM—4:00 PM (UTC)

Week 2

Sep 7—Sep 13

Sep

Session 2: CodeLab, Quiz and Office Hours

Fri 9/113:00 PM—4:30 PM (UTC)

Schedule

Live sessions

1-2 hrs / week

Weekly CodeLab, Quiz and Office Hours every Sunday. You will have one code-lab every week we will work through together and a small quiz to help test your understanding of the concepts learnt in the class

Fri, Sep 4
3:00 PM—4:00 PM (UTC)
Fri, Sep 11
3:00 PM—4:30 PM (UTC)
Fri, Sep 18
3:00 PM—4:30 PM (UTC)

Async Lecture

1 hr / week

Lecture Recording so you can watch the course at your pace

Projects

1 hr / week

Outside of the weekly codelabs, you will have a Course Final Project you will be presenting on 30th August, you would have the final week Aug 24-29 to work on it.