Certificate Verification
Advanced Data Science & AI - Full Roadmap (120H)
Issued on 20 Sept 2026
✓ Verified
Official TechTrek record
Certificate Summary
Student Name
Fayrouz Hassan Mahmoud Mohamed Abdel Wahid
- Certificate ID
- CERT_000500
- Verification Status
- Verified
- Certificate
- Advanced Data Science & AI - Full Roadmap (120H)
- Issue Date
- 20 Sept 2026
Academic Information
- University
- Alexandria University
- College
- Computer Science
- University Student ID
- 23011125
- Track
- Advanced Data Science
- Credit Hours
- 140 H
- Delivery Mode
- Online
Learning Roadmap
Curriculum topics are displayed from the Roadmap snapshot stored on this certificate.
Level 1 - Module 1: Python, Math & Data Prep
- Python Basics & Data Structures
- NumPy & Math Operations
- Linear Algebra for AI
- Statistics for Data Science
- Data Cleaning (Pandas)
- Exploratory Data Analysis (EDA)
Level 1 - Module 2: SQL & Data Pipelines
- SQL Basics (Queries & Filtering)
- Intermediate SQL (Joins & Aggregations)
- Advanced SQL (CTEs, Window Functions)
- SQL + Pandas Data Pipelines
Level 1 - Module 3: Machine Learning Mastery
- ML Pipeline & Regression Models
- SVM, KNN & Decision Trees
- Classification & Evaluation Metrics
- Random Forest & XGBoost Tuning
- Cross Validation & Model Selection
- ROC, AUC & PR Curves
Level 1 - Module 4: Foundational Capstone Project
- Capstone Planning & Dataset Selection
- Train, Compare & Tune Models
Level 2 - Module 5: Deep Learning & NLP
- Neural Network Basics & Backpropagation
- CNN Architectures for Images & Improvements
- Text Cleaning, TF- IDF, Word2Vec
- LSTM for Sequence Modeling
- Transfer Learning (Image/Text)
Level 2 - Module 6: Cloud Computing & Big Data
- Cloud Basics & GCP Overview
- GCS Integration with Colab
- Big Data Concepts & File Formats
- Intro to Spark & PySpark Basics
- ETL Pipelines with Spark + Pandas
Level 2 - Module 7: Model Deployment & MLOps
- Streamlit App Interface & FastAPI for ML Deployment
- Docker for ML Apps & Containerizing AI Projects
- MLflow, DVC Tracking, Weights & Biases (W&B)
- Time Series Forecasting & LSTM
Level 2 - Module 8: GenAI & Agentic Automation
- Intro to Generative AI & LLMs
- Prompt Engineering & Templates
- Reinforcement Learning Intro & Ethics in AI
- Agentic AI Concepts & Architecture
- UiPath + Agentic Integration
- LLM Decision Loops & Human- in- the- Loop
Level 2 - Module 9: Career Prep & Enterprise Capstone
- Enterprise Agentic Use Cases & End- to- End Agentic Capstone
- Code Documentation & GitHub
- Mock Interviews
- Final Project Presentations & Feedback
Completed Tasks
✓End-to-End Machine Learning: Regression to PCA & Pipelines
✓Heart Disease Prediction Using Tree-Based Machine Learning Models
✓Pandas Data Analysis – Filtering, Grouping & Business Insights
✓Computer Vision Project — Multi-Class Image Classification
✓NLP Mini Project Assignment