Master AI/ML with Python, scikit-learn, TensorFlow & real‑world projects. Become industry‑ready in 90 days.
A structured, project‑based AI/ML program focused on practical skills and deployment.
Python, NumPy, Pandas, Matplotlib
Syntax, data structures, functions, OOP, virtual envs.
NumPy & Pandas for cleaning, wrangling, and EDA.
Matplotlib & Plotly for clear, insightful charts.
Read CSV/Excel/JSON, basic SQL, APIs & scraping basics.
scikit‑learn, XGBoost, TensorFlow, PyTorch
Regression, classification, clustering with scikit‑learn.
Pipelines, preprocessing, encoding, imputation, scaling.
Keras/TensorFlow for DNNs, CNNs; intro to PyTorch.
FastAPI/Flask, Docker, model tracking with MLflow.
Three progressive phases for complete mastery
Python, statistics, EDA & data pipelines
Functions, OOP, error handling, virtualenv, notebooks.
Distributions, hypothesis testing, correlation, bias/variance.
Missing values, outliers, feature types, data leakage.
Pandas pipelines, joins/merge, time series basics, SQL intro.
Supervised/unsupervised learning, tuning & validation
Linear/Logistic, trees, ensembles (RF, XGBoost).
Clustering (KMeans/DBSCAN), PCA/TSNE, anomaly detection.
ROC/AUC, Precision‑Recall, F1, RMSE/MAE, calibration.
Cross‑validation, Grid/Random/Bayes search, pipeline design.
Neural nets, CNNs, NLP intro, APIs & MLOps
Keras/TensorFlow, activation, loss, optimizers, regularization.
Conv layers, transfer learning, data augmentation.
Text cleaning, TF‑IDF, word embeddings; Transformers intro.
FastAPI/Flask, Docker, MLflow, Streamlit dashboards.
Industry‑relevant skills to make you job‑ready
Join our AI/ML program and become a sought‑after ML Engineer or Data Scientist in just 90 days!