A practical curriculum that takes you from fundamentals to applied Data Science & AI in as few as 12 weeks (full time) or 24 weeks (part time).
SQL, Python, Jupyter Notebook, Git and GitHub, Linear Algebra, Probabilities and Statistics.
Data Analysis, Data Preparation, Data Visualization and Data Exploration.
Machine Learning, Supervised and Unsupervised learning, ML model enhancement, Naive Bayes, SVM, Random Forests, ML Pipelines and Classification.
Neural Networks (implementation, troubleshooting & optimisation), CNN Architectures, Autoencoder Architecture, Data Augmentation, Tensorflow, Keras and Scikit-Learn.
Text coding for NLP, Recurrent Neural Networks (RNN), LSTM, Attention Mechanisms, Transformer Model and chatbot building.
You don’t need formal computer science qualifications to join. We cover the essentials early on and help you build confidence step by step. This bootcamp works for beginners and for professionals looking to upskill in data and AI—just be ready to commit time each week and practise consistently.
Build proof, not just knowledge. You’ll complete hands‑on assignments inspired by real tasks, then turn them into portfolio work you can share with managers, clients, or recruiters.
Get feedback that helps you improve faster. Our mentors review your work, answer questions, and help you understand trade‑offs—so you learn how to think like a practitioner.
Stay focused with a structured path. Each course maps skills to milestones and projects, so you always know what you’re learning and why it matters.