AI Diploma Program: From Fundamentals to Advanced AI

What you'll learn

Build foundational skills in Python programming and mathematical concepts for AI

Understand core statistical methods and data analysis techniques.

Master machine learning algorithms and their practical implementations.

Explore deep learning models such as CNNs and RNNs for complex tasks.

Implement computer vision techniques and sequence models for real-world applications.

Learn how to use MLOps to efficiently deploy, monitor, and maintain AI models.

Introduction to Python Programming

Variables, Data Types, Operators

Functions and Control Flow

Libraries and Modules

Mathematics for AI

Linear Algebra

Calculus

Probability & Statistics

Data Analysis and Visualization

Numpy, Pandas

Data Cleaning and Preprocessing

Matplotlib, Seaborn

Introduction to Machine Learning

Supervised Learning: Regression and Classification

Unsupervised Learning: Clustering and Dimensionality Reduction

Model Evaluation and Cross-Validation

Deep Learning Fundamentals

Introduction to Neural Networks

Activation Functions and Optimization Techniques

Backpropagation and Gradient Descent