Machine Learning Diploma
From the math behind the model to a complete working project
You start with linear regression (Linear Regression) and gradient descent (Gradient Descent), and finish by building a complete machine learning project (End-to-End ML): defining requirements, preparing data, training, then deployment (Deployment).
Senior Vision Engineer, NVIDIA
What you'll learn
- Build linear regression (Linear Regression) with gradient descent (Gradient Descent) and understand its mathematical derivation.
- Select and tune models: Polynomial Regression, Cross-Validation, Ridge, Lasso and the Bias-Variance trade-off.
- Prepare data and engineer features (Feature Engineering), and avoid data leakage (Data Leakage).
- Build a neural network for regression and derive backpropagation (Backpropagation).
- Build classification models (Logistic Regression) and evaluate them with the right metrics: Precision, Recall and F-score.
- Apply unsupervised learning (AutoEncoder, K-means and GMM) and probabilistic modeling.
- Get introduced to PyTorch, convolutional networks (CNN) and recurrent networks (RNN and LSTM).
- Carry out a complete project (End-to-End ML), from defining requirements to deployment and monitoring data drift (Data Shift), plus a Kaggle task.
Students who learned with us now work at
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NVIDIA · PhD, SFUDr. Mostafa Saad Ibrahim
He has worked in AI for 15 years across research and engineering, and has published papers at CVPR and ECCV with more than 1,000 combined citations. He has taught programming since 2006 and runs a leading Arabic competitive programming channel on YouTube with more than 134 thousand subscribers.
Why he teaches this diploma himself
- Works daily on industrial computer vision systems
- Connects the material to what programmers need in real work
- Head of the judging committee for programming contests in Egypt and Jordan (ECPC and ACPC)
Full curriculum: 17 units
After the lessons come hands-on homework with video explanations of the solutions, and the diploma ends with hands-on projects. 3 lectures are free, so you can judge the teaching before you decide.
01Welcome3 lectures
02Introduction2 lectures
03Libraries2 lectures
04Linear Regression6 lectures
05Homework: Gradient Descent2 lectures
06Modeling and Data Concepts17 lectures
07Neural Network for Regression5 lectures
08Data Concepts (Continue)5 lectures
09Binary Classification7 lectures
10End to End ML8 lectures
11Multi-class Classification4 lectures
12Unsupervised Learning3 lectures
13Misc Topics5 lectures
14PyTorch Framework6 lectures
15CNN7 lectures
16RNN6 lectures
17Deep Learning Project1 lecture
What you'll take away from this diploma
Tools
Concepts
Prerequisites
A strong background in Python, plus calculus, linear algebra and probability
Why CSkilled instead of scattered resources?
A comparison between learning from scattered resources and learning from one integrated curriculum.
Scattered resources (YouTube / generic courses / bootcamps)
- Depth and curriculum: Scattered content with no clear order, so you get lost between levels.
- Practice: Few problems, often without explained solutions, and small, incomplete projects.
- Instructor and language: Uneven quality of explanation, and much of it is in English only.
- Support and cost: No guidance, and dollar-priced subscriptions or expensive bootcamps.
What do you get at CSkilled Academy?
- Depth and curriculum: 88 lectures and 130 hours across 17 structured modules that explain the idea before using any ready-made tool.
- Practice and projects: Graded problems with explained solutions, and hands-on projects that bring what you learned together into complete work.
- Instructor and language: Taught in Arabic with English terminology, with six Diplomas taught by Dr. Mostafa Saad, who has taught programming for 20 years and is a Senior Computer Vision Engineer at NVIDIA with a PhD in Computer Vision.
- Support and payment: A support team that answers your questions on WhatsApp, and interest-free installments for up to 6 months.
Real experiences from students who completed the journey
88 lectures · 130 hours
Choose the payment plan that suits you
No interest and no hidden fees. The large number is what you pay today.
Full payment
3-month installments
6-month installments
Full payment
Installments are currently available in Egyptian pounds only. To ask about dollar installments: Contact us.
Down payment at checkout, then installments every 30 days. No interest and no late fees; access pauses if an installment is not received within 3 days of its due date.
Start with the free lectures today
Machine Learning Diploma: 88 lectures and 130 hours. Start free, no payment details needed.
Questions before you enroll
What are the prerequisites for this diploma?
A strong background in Python, plus the basics of calculus, linear algebra and probability. If you are not ready yet, start with the Python Programming Diploma.
How many hours a week do I need?
6 to 8 hours a week is enough to progress steadily. Study is self-paced and can be balanced with school or work.
Are the lectures recorded?
Yes, they're fully recorded and you watch them whenever suits you.
How long does access to the content last?
Lifetime access (Lifetime Access): watch the content anytime with no expiry, including any updates or new additions to the content for free.
Do I get a certificate?
Yes, you receive a certificate of completion issued by CSkilled and signed by Dr. Mostafa Saad.
What payment methods are available?
InstaPay, Fawry and bank cards, with interest-free installments for up to 6 months.
Why explanations in Arabic with English terminology?
So you understand ideas in your own language, while working with references and the job market in its own terminology.