Professional Certificate Programme in Artificial Intelligence and Machine Learning

Applicants must have:

• A bachelor's degree or higher

• Math skills and programming experience

• Experience with Python, R , SQL, and familiarity with statistics and calculus

Also recommended:

• An educational background in STEM fields

• Technical work experience

• Functional experience with Python, R or SQL

• Strong experience with statistics and calculus

Logistics

DHL: Real-World Operations Optimisation

• Use DHL data to identify delivery bottlenecks and improve logistics with ML models.

• Skills you will learn: Logistic Regression, Data Cleaning, Data Visualisation, Pandas, NumPy

Retail Analytics

Predictive Modeling on Real-World Customer Data

• Forecast customer behaviour using real data and fine-tuned ML models.

• Skills you will learn: Supervised Learning, Validation Techniques, Python, Scikit-Learn, EDA

Human Resources & Salary Prediction

Predicting Income Brackets Using Census Data

• Predict income levels using classification on UCI census data.

• Skills you will learn: Classification, Data Preprocessing, Feature Engineering, Decision Trees, Model Evaluation

Unsupervised Learning

Clustering a Real-Life Dataset

• Group similar records using k-means and hierarchical clustering.

• Skills you will learn: Clustering, k-Means, Hierarchical Clustering, Matplotlib, EDA

Deep Learning & Model Optimization

Building and Optimizing a Neural Network with PyTorch

• Build and tune a neural network for a specific application using PyTorch.

• Skills you will learn: Neural Network Architecture, PyTorch, Backpropagation, Weight Initialization, Gradient Descent

AI Ethics & Explainability

Model Card Analysis for AI Transparency

• Assess a model card for ethical transparency and responsible AI.

• Skills you will learn: Model Documentation, Responsible AI, Bias Analysis, Interpretability, Industry Best Practices