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 (check FAQ for "advanced")
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 (this is not how to build the best agents out there)
How to add observability to agentic pipelines (ok, i will give gems out in this one)
Introduction to different serving engines
Deep-dive of the LLM Infra Tooling and Frameworks
How the model APIs work
Security Issues in model serving (how to not get hacked in a zero-day attack)
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
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
6
Session 1: Introduction Class
Week 2
Sep
8
Session 2: CodeLab, Quiz and Office Hours
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
Sun, Sep 6
3:00 PM—4:00 PM (UTC)
Tue, Sep 8
3:00 PM—4:30 PM (UTC)
Tue, Sep 15
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 the final day of the course to be eligible for a course certificate.
Frequently asked questions
Maven for Teams
Reimbursement
Get your company to pay
Everything L&D needs: email template, receipts, and certificate of completion.
Get reimbursedPrivate cohort
Run a cohort for your org
A dedicated cohort with a custom schedule and curriculum, tailored to your team.
Book a private cohort$990
USD