CareerZeta's Data Science & AI Professional Program takes you from data analytics through machine learning and deep learning to generative and agentic AI — so you can build, deploy and govern AI systems end to end.
Banking, healthcare, retail, telecom and manufacturing all use ML to predict, personalize and automate.
Move from data analytics through machine learning and deep learning to generative and agentic AI.
Deploy, monitor and improve models in production, the skill that sets hireable data scientists apart.
Grow from Data Scientist to Senior Data Scientist, ML Engineer, AI Engineer and Head of AI.
Go beyond using AI tools to building LLM apps, RAG systems and AI agents that do real work.
Graduate with 12 projects and a portfolio an employer can open, not just a certificate.
Clean and explore two years of retail transactions with pandas. Profile the data, fix quality issues and chart sales by region, category and season to surface the questions the business should act on first.
Query a multi-table e-commerce database to answer real business questions. Use joins, CTEs and window functions to build customer cohorts, repeat-purchase rates and a revenue funnel.
Build regression models that estimate property prices from location, size and amenities. Compare linear, regularized and tree-based models, and explain which features move the price.
Predict loan default on imbalanced lending data. Engineer financial features, handle class imbalance, tune classifiers and choose a decision threshold that balances risk against approval rates.
Train gradient-boosted models to flag customers likely to leave. Use SHAP to explain each prediction and turn the drivers of churn into targeted retention actions.
Segment customers with k-means and hierarchical clustering on behavioral data. Reduce dimensions with PCA and recommend how marketing should treat each group.
Classify images with CNNs, then lift accuracy with pretrained models and data augmentation. Compare runs, read confusion matrices and explain where the model still gets it wrong.
Classify reviews by sentiment, moving from TF-IDF baselines to a fine-tuned transformer. Surface the most frequent praise and complaints in a dashboard the business can act on.
Forecast weekly demand across stores and products with ARIMA, Prophet and gradient-boosted models. Measure forecast accuracy and show how better forecasts cut stock-outs and overstock.
Build a retrieval-augmented chatbot over policy documents and FAQs. Chunk and embed content into a vector database, add re-ranking and citations, and measure answer accuracy.
Design a team of AI agents that plans an analysis, writes and runs Python, builds charts and drafts the report — with a human approving each step before anything ships.
Serve a trained model behind a FastAPI endpoint, containerize it with Docker, track versions in MLflow and set up monitoring that alerts you when data drift starts to hurt performance.
Score card transactions for fraud risk. Combine anomaly detection with gradient-boosted classifiers, tune thresholds against the cost of false alarms, and keep the model accurate as fraud patterns shift.
From a quick conversation with our team to your first live session.
Book a call to see if PG Program in Data Science & AI is the right fit for where you want to go.
Complete your registration — pay the full fee or a registration fee to hold your seat.
We'll confirm your batch start date and send everything you need before day one.
Join live, mentor-led sessions and start building your portfolio from week one.
Seats fill by cohort — talk to our team or pay your fee to lock in your batch.