AI Engineering Course

Designed to help software engineers transition to AI engineering. This course includes detailed breakdowns of vector databases, indexing, large language models, and the attention mechanism.

At the end of this course, you will know how LLMs work and use them to build real-world applications.

instructor

Gaurav Sen

Ex Software Engineer @ Uber, Directi

4.71 (1266)
7828+ Students
Last updated on 10/2026

AI Engineering Course

4.71 (1266)
7828+ Students
Last updated on 10/2026

What will you learn?

Build mental models for how GPT-style LLMs work.

Understand tokenization, embeddings, attention, and masking.

Optimize LLM inference using caching, batching, and quantization.

Design and deploy RAG pipelines with vector databases.

Compare prompting, fine-tuning, and agent-based architectures.

Debug, monitor, and scale LLM systems in production

Course Content

Who is this course for?

2 Videos
1 Free Preview
Course Intro
02:00 min
Usecase
01:47 min

What are Vectors?

5 Videos
2 Quiz
3 Free Previews

What is a large language model?

4 Videos
1 Quiz

LLM Internals

4 Videos
1 Quiz

Core Optimizations

3 Videos
1 Quiz

Tradeoffs in LLMs

4 Videos
1 Quiz

Reasoning in Large Language Models

4 Videos
1 Quiz

Transformers Deep Dive

2 Videos
1 Quiz

MCP, Agents and Practical Applications

3 Videos
1 Quiz

Meet Your Instructor

instructor-img

Gaurav Sen

Ex Software Engineer @ Uber, Directi

Gaurav Sen is the founder of InterviewReady. He has expertise in machine learning and distributed systems from working at Uber and Directi. He has previously spoken at the University of Houston-Texas, IIT Gandhinagar, and BITS Hyderabad. Gaurav's YouTube channel on system design and AI has over 600k followers.

Used By Engineers Worldwide

Helped me improve my engineering skills and think of the bigger picture. Maybe keep the pdfs of all chapters at the beginning?

Bhavya Ratra
Bhavya RatraSoftware Engineer at Airboxr

I like to revise the InterviewReady course every week. I maybe addicted now!

Himanshu Sawarkar
Himanshu SawarkarTechnical Lead at Infinite Computer Solutions

Overall, an informative course with interesting topics and in-depth explanation in a short amount of time.

Shalin Shah
Shalin ShahSoftware Engineer at Grab, Singapore

There is a good list of content that is easy to understand and well-explained.

Raj Kumar Maurya
Raj Kumar MauryaFull Stack Developer

The videos were really helpful to understand not just the basics but the complicated system design architectures also.

Devashish Nyati
Devashish NyatiSoftware Engineer at Google

Doing this course helped me increase my knowledge related to how systems really work and make them more efficient. With this course I cracked ServiceNow!

Varun Manchandani
Varun ManchandaniSoftware Engineer at ServiceNow

Frequently Asked Questions

Everything you need to know about the product and billing.

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Do I need to know machine learning in depth to start this course?

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