Computer Vision Bootcamp
A collection of professional Computer Vision certificates covering
Transformers, Computer vision application, deep learning for vision, and real-world
applications.
- Deep Learning for Computer Vision
- Computer Vision Application
- Transformers in computer vision
- Reinforcement learning
- Deployment of ML Models
Machine Learning Certificate
What truly made this course special was how deeply it explained the low-level implementation of machine learning algorithms — learning to code them from scratch.
We covered:
- Part 1: Machine Learning
- Linear & Polynomial Regression
- Regularization (Ridge, Lasso)
- Binary & Multiclass Classification
- Neural Networks
- Unsupervised Learning (Autoencoder, K-Means, GMM)
- KNN & Probabilistic Modeling
We also learned key aspects of any ML project:
- Model Selection, Data Collection, Feature Engineering
- Data Augmentation (Synthetic Data)
- Handling Data Leakage
- Building End-to-End ML Projects
Part 2: Introduction to Deep Learning
- PyTorch Framework
- CNN, RNN, and LSTM Networks
Data Structures & Algorithms Certificate
I recently completed the Data Structures & Algorithms course with CSkilled Academy, and it was an incredible experience!
- Deep Dive into Data Structures: Implemented vectors, linked lists, stacks, queues, trees, heaps, tries, and hash tables.
- Algorithm Mastery: Covered sorting, binary search, graph algorithms, dynamic programming, backtracking, and divide & conquer.
- Problem Solving: Solved numerous coding challenges of varying difficulty.
- Hands-on Practice: Reinforced concepts with real-world algorithmic challenges and deep implementation focus.
Python & OOP Certificate
My journey with Python and OOP at CSkilled Academy was an incredible experience where I gained a solid foundation in both coding and software design.
- Solid Foundation: Mastered Python fundamentals and object-oriented programming concepts.
- Problem Solving: Solved challenges of increasing difficulty to sharpen my coding skills.
- Hands-on Projects: Built 5 projects with increasing complexity to apply practical skills.
- Advanced Topics: Explored multithreading, networking, regex, bitwise operations, and decorators.
Computer Vision Certificates
I completed a structured learning path on DataCamp, progressing from the fundamentals to advanced deep learning problems.
Topics Covered:
- Introduction to Deep Learning with PyTorch: Neural network architectures, hyperparameters, model training, and evaluation.
- Intermediate Deep Learning: Building robust CNN and RNN models, handling images and sequences.
- Deep Learning for Images: Image classification, object recognition, segmentation, and GAN-based image generation.
HTML, CSS & JavaScript Certificates
- Completed the JavaScript & ES6 course on MaharaTech - ITIMooca.
- Finished the 30-Day JavaScript Challenge on LeetCode, covering closures, array & function transformations, promises, timing, JSON, and classes.
- Completed the 22-Week JavaScript Challenge with Osama Elzero, focusing on core JS fundamentals, plus hands-on HTML & CSS practice.
SQL Database Certificates
I completed the “Database Fundamentals” course, where I learned DBMS principles, ERD creation, relational database design, and SQL query writing.
Then, I took “Transact SQL Queries using SQL Server” with Engineer Rami Mohamed — a comprehensive course covering everything from basics to advanced SQL concepts.
- Creating and modifying databases using T-SQL
- Filtering, sorting, and combining data using SQL operations
- Using LIKE, subqueries, set operations, and EERD modeling
- Database integrity, constraints, and indexing strategies
- Backups, snapshots, and high-availability systems (mirroring, log shipping)
- Stored procedures, triggers, and CLR-based functions
- Automation with SQL Server Management Objects (SMO)
- Dynamic report design using SSRS
- Data warehousing concepts (OLAP vs. OLTP, dimensional modeling)
Each chapter included practical, hands-on assignments to reinforce the lessons and develop real-world database expertise.
