Learn About AI, Machine Learning, & Programming With Zulqai
Whether you’re just starting or advancing your skills as a Machine Learning Engineer, this space is designed to offer free learning resources, in-depth tutorials, and hands-on projects that guide you step by step. Together, we’ll simplify the most complex AI and machine learning concepts, making them easier to apply in real-world engineering scenarios. Feel free to email me anytime you need help—solving your machine learning problems will be an opportunity for me to learn with you.


Curious about the latest trends in AI and machine learning? Our weekly newsletters keep you updated on cutting-edge advancements, practical tips, and AI breakthroughs. As our community of AI and Machine Learning Engineers grows, we’ll host monthly video meetings, where like-minded innovators can connect, learn, and collaborate on exciting machine learning projects.
My Story: Why I Chose AI Engineering

I’ve successfully discovered what excites me deeply. Let me share why I chose the path of AI Engineering and how I became passionate about machine learning.
I’m Zulqarnain, a school dropout. I left school because I didn’t want to learn things just for the sake of memorizing stuff that didn’t feel valuable to me. Since my school days, I’ve always been fascinated by remote control gadgets and computer-related technologies—the early sparks of my interest in AI and machine learning.
Leaving school after the 10th grade wasn’t easy. But I’ve always believed that learning should have purpose. My early interests in technology and problem-solving eventually led me to discover AI. Over time, I’ve grown passionate about programming and imagining how AI-powered technologies could improve daily life. For instance, I envisioned a voice-command water glass that could bring me water on command. This fascination with AI applications in real-world scenarios drove me to pursue AI Engineering, and now I’m documenting my journey to becoming a Machine Learning Engineer—and sharing it with you.
Latest Blogs on AI, Machine Learning & Programming
Essential Languages, Libraries, and Tools Every Machine Learning Engineer Should Master
Math Session
The Dark Ambition Behind AI
What I’ve Learned About the Top 1% of Data Scientists
Correlation Coefficient
Dog Vs Cat Recognition
Life WIll End Anyway
UTF-8
Difference Between Anamoly and Outlier
Random Variable (Statististics)
Mutually Exclusive Events
Histogram Vs Box Plot
Percentile
Standard Deviation Vs Variance
Why We Use (n-1) For Sample Variance
Measure Of Dispersion
Standard Deviation
Modeling With Equations
Equations
Rational Expressions
Algebraic Expressions
Enjoying the Process Of Becoming Ml Engineer
Exponents
Real numbers
The Greatest Engineers of All Time and Lessons from Their Lives
Functions
Unsupervised Learning, Recommenders, Reinforcement Learning Certification
Game based on Reinforcement Learning
Markov Decision Process (MDP)
Exploration vs. Exploitation in Reinforcement Learning (RL)
Continous State Applications
random (stochastic) environment
Machine Learning Roadmap With Courses
delta and epsilon in layman terms
Limits In Layman Terms
Feature Scalling
collaborative filtering
Lifelong Learning
Data Is Precious Than Gold Nowadays
Advanced Learning Algorithms Certification From Deeplearning.AI
Accuracy and Percision
image compression using K-means clustering
Steps For Building End To End Machine Learning Projects
Porter Stemmer
Few people truly pursue what they love to do
What is Hypothesis In Machine Learning
Hyperparameters
What Does Relu Activation Do In Machine learning
Types Of Layers In Machine Learning
Numbers Are Everywhere
why normal distribution is important in data science?
What is entropy in machine learning (Simple Words)
Why We Use Bias And Variance In Machine Learning?
Training Set, Cross Validation Set & Test Set
Data Synthesis in Machine Learning
Training Error & Cross Validation Error
Data is the oil of this century
To love someone else is easy, but to love what you are, the thing that is yourself, is just as if you were embracing a glowing red-hot iron: it burns into you and that is very painful. Therefore, to love somebody else in the first place is always an escape which we all hope for, and we all enjoy it when we are capable of it. But in the long run, it comes back on us. You cannot stay away from yourself forever, you have to return, have to come to that experiment, to know whether you really can love. That is the question-whether you can love yourself, and that will be the test.
The only thing that matters is the Speed of Learning
Go Where you Hearts Wants
Mathematics is the Language of Nature
Elementary Algebra in Machine Learning
Mathematics is the heart of Machine learning & Data Science
Applications Of Algebra In Machine Learning
Types Of Number Theory In Mathematics
Importance Of Mathematics In Machine Learning & AI
Data Normalization In Machine Learning
Predicting the future isn’t magic, it’s artificial intelligence.” ~Dave Waters
Supervised Machine Learning: Regression and Classification Certification Completed
Play Music On Door Opening
Key Benefits of Normalizing Data Around Zero
Weights (W) – Linear Regression
Machine Learning Algortihms (Visual Examples)
Data Analysis Certification
Curious Python Voice Assistant
Calculus Uses In Machine Learning
Calculus (Differentiation) Uses In Machine Learning
Why We Use Matplotlib?
There is always one more bug to fix
How Computer Memory Powers AI Machines: From DRAM to Artificial Intelligence
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Zulqanain jabbar
Hi, I’m Zulqarnain Jabbar! Welcome to my personal blog, Zulqai.com (short for Zulqarnain + AI). Here, I share my passion for Artificial Intelligence (AI) and Machine Learning (ML). My purpose is to learn something new every day and create projects for fun.