Data Science and AI Diploma

A complete career journey into data, machine learning, and artificial intelligence

This diploma is designed for learners who want to move from programming fundamentals to advanced AI systems and real-world projects

You will gain deep technical skills and hands-on experience that prepare you for roles such as Data Scientist, Data Engineer, and Machine Learning Engineer

🚀 Data and AI are driving decision-making across every industry

🚀 Companies need professionals who can analyze data, build models, and deploy intelligent solutions

🚀 This diploma delivers end-to-end skills, from data preparation to advanced deep learning and AI projects

🐍 Master Python for AI and data science applications

📊 Apply data science methodologies for real-world problem solving

📈 Build predictive analytics and machine learning models

🧠 Develop deep learning systems using TensorFlow, Keras, and PyTorch

🗣 Work with natural language processing and sequence-based models

🔍 Analyze, clean, visualize, and interpret complex datasets

🏗 Design complete AI pipelines from raw data to deployed models

🎟 Ticket system for continuous instructor support

🛠 2 major hands-on projects

⏱ 249 intensive training hours with strong practical depth

📝 Assignments that reinforce concepts and technical mastery

🏛 Licensed by the Ministry of Communications and Information Technology

🏢 Registered member of the Information Technology Industry Development Agency ITIDA

📜 ISO 9001:2015 certified quality management system

🔧 Training programs accredited by the Egyptian Appliances Syndicate

👷 Training programs accredited by the Engineers Syndicate

⚙ Training programs accredited by the Applied Professions Syndicate

📘 Comprehensive Data Science and AI topics that provide learners with deep theoretical understanding and strong practical expertise

📌 Data Science introduction sessions

📌 Data science methodology sessions

📌 Data science tools sessions

📌 Python fundamentals for AI and data science

📌 Control flow, data structures, and functions

📌 Object-oriented programming and error handling

📌 APIs, data collection, and preprocessing

📌 Data analysis and manipulation in Python

📌 Importing and handling data

📌 Data formatting and transformation

📌 Exploratory data analysis with Pandas

📌 Building data pipelines and predictive models

📌 Model evaluation and optimization

📌 Data visualization tools and techniques

📌 Basic and specialized visualizations

📌 Advanced visualization and geospatial data

📌 Interactive dashboards with Plotly and Dash

📌 Database fundamentals and SQL basics

📌 Advanced SQL queries and joins

📌 Connecting Python with databases

📌 Automating data workflows

📌 SQL performance optimization

📌 Machine learning concepts and regression models

📌 Feature encoding, scaling, and model evaluation

📌 Decision trees, Naive Bayes, KNN, and SVM

📌 Ensemble methods, clustering, and feature selection

📌 Final exam and machine learning project

📌 Advanced Keras functionalities

📌 Convolutional neural networks

📌 Transformers and sequence models

📌 Unsupervised learning and generative models

📌 Reinforcement learning fundamentals

📌 Neural networks and PyTorch fundamentals

📌 Linear and logistic regression

📌 Shallow and deep neural networks

📌 Convolutional neural networks

📌 PyTorch final project

📌 Data cleaning and preparation

📌 Exploratory data analysis and visualization

📌 Predictive modeling

📌 Dashboard creation and presentation

📌 Image classification models

📌 Data preprocessing and augmentation

📌 Real-time object detection

📌 Text classification using RNNs

📌 GANs for image generation

📌 Model evaluation and hyperparameter tuning

💻 You must own a laptop

🔥 Passion to learn data, AI, and advanced technologies

🎓 No prior experience required, the diploma takes you from foundations to professional level

This diploma is one of the most comprehensive Data Science and AI programs offered by AMIT Learning. Over a 6-month intensive journey, you will study Python, data science fundamentals, machine learning, deep learning, and real-world AI applications.

You will learn the difference between data science and data engineering, master core tools such as Pandas, NumPy, and Anaconda, and apply machine learning operations to real projects.

By the end of the diploma, you will complete multiple graduation-level projects in areas such as medical diagnostics, financial analysis, and data-driven decision-making, significantly strengthening your CV and positioning you strongly in the job market

The ticket system ensures continuous support throughout the diploma, including instructor guidance and private support sessions, helping you achieve the highest possible learning outcome