AI Engineer Interview Prep
I know how hard it is to search for a job. I personally had to apply to over 3000 jobs to get an internship and full time job. And this is exactly why, I provide all my resources and information for free. and I hope that even 1% of this can help you in your career. At the same time, I do this all by myself and don’t have anyone to help or any marketing budget to work with. So, if you find this article helpful, consider supporting me by making a donation through buymeacoffee , becoming a paid member of substack or susbcribing to my Youtube page.
MACHINE LEARNING FREE COURSES
2 weeks : Machine Learning Courses for Free : Link
First, start off by learning Machine Learning for free through the above link and learn supervised , unsupervised, regression models.
4 weeks : Machine Learning Projects : Link
Next, use the above link to prepare projects which he could not only gain experience but also learn to work with ML model hands on.
2 weeks : Andrew NG Notes Collection : Link
Then after 6 weeks, focus on Deep Learning. This is where you can used Andrew NG notes collection which are super helpful.
4 weeks : 20 deep learning Projects with Python : Link .
Implement atleast 12 of these and to learn Deep Learning with Python
4 weeks : Building Chatbots : Link
Next, he spent the remaining 4 weeks building chatbots using the above link to actually work with the AI models and train and improve them. This helped him understand how to build chatbots, how the AI models worked, how to tune and improve them. This information helped him get into the Google’s Gemini team.
At this time, he interviewed with Gemini’s team and was able to get into the core infrastructure team that actually built the framework for the Gemini’s AI models. This AI model was called Bard at the time.
Learning Deep Learning :
Deep Learning Neural Networks : Link
Deep Learning in Production : Link
Interview Prep :
Here is the interview roadmap
There were 4 key interviews he prepared for :
Coding
AI model and Deep Learning
System Design
Behavioral
Coding :
For programming , start with Blind 75 .
Ensure that you can clear coding interview even for hard questions if asked. For this, you can top most asked questions for the below companies :
Open AI leetcode : Link. This is where he really wanted to work.
Meta Top Interview Questions : Link.
AI Model and Deep Learning :
For this, he used the below resources to prepare for the theoretical questions that could be asked :
Challenges and Application of LLM
AI Engineer Interview Questions
System Design Question
He already knew basic System Design for which he had used 2 resources :
Alex Xu - System Design Interview : He bought this book. Pdf
Along with this , he studied big Data Concepts. For that, he used this resource for interview questions.
Behavioral :
Believe it or not, this aspect is where he actually struggled a lot. I actually helped him with this. And he loved how I had used the Amazon LPs to prep for it. All the questions are covered in this resource.
TOP 50 INTERVIEW QUESTIOS FOR LLM : Link
WEEK BY WEEK ROADMAP :
