Interactive Data Analysis Dashboard
Analyze real-world datasets, perform exploratory data analysis and create visualizations using Pandas and Matplotlib.
Artificial Intelligence
Build intelligent systems that learn from data, understand language and perceive the world. Master machine learning, deep learning and MLOps to turn algorithms into real-world products that scale.
Career Snapshot
AI / ML Engineer
Potential Role
$138,000
Median Salary ¹
120,000+
Jobs Available ¹
31 %
5-Year Growth ²
Technologies You’ll Master
Python & Jupyter
fast ai
scikit-learn
pandas
numpy
matplotlib
Curriculum Breakdown
Python, Linear Algebra & Probabilities for ML
Data Wrangling, Feature Engineering & Viz
Supervised Learning Algorithms & Metrics
Unsupervised Learning & Clustering
Deep Learning with CNNs & RNNs
NLP, Transformers & Large Language Models
MLOps: Experiment Tracking, CI/CD & Deployment
Capstone AI Product Sprint
Projects You’ll Build
Predictive Machine Learning Model
Train and evaluate regression and classification models with scikit-learn to forecast key outcomes.
Deep Learning Neural Network
Build, train, and deploy a neural network with TensorFlow/Keras for advanced image or text applications.
A Day in the Life
Data Preparation
Cleaning, balancing and visualising large-scale datasets.
Model Research & Training
Experimenting with architectures, hyper-tuning & cross-validation.
Evaluation & Explainability
Using ROC-AUC, SHAP & fairness audits to validate models.
Deployment & Monitoring
Containerising models, setting up CI/CD & drift alerts.
Cross-functional Collaboration
Working with product, design & ethics teams to ship AI responsibly.
Ready to invent the future with data-driven intelligence?