Data Science with Python & GenAI

Course Overview

This program prepares you for data analyst, data scientist, and ML engineer roles. You'll progress from Python fundamentals to advanced machine learning and end with a capstone project using LLMs and RAG pipelines.

What You'll Learn

• Python programming for data analysis (NumPy, Pandas, Matplotlib)
• Statistics, probability, and hypothesis testing
• Supervised and unsupervised machine learning with scikit-learn
• Deep learning with TensorFlow and PyTorch
• Natural Language Processing and embeddings
• Generative AI: prompt engineering, RAG, agents, evaluation
• MLOps fundamentals — model deployment and monitoring

Curriculum

Module 1 · Python Foundations (8 hrs)

• Data types, control flow, functions
• OOP basics
• File I/O and APIs

Module 2 · Data Wrangling & Visualization (10 hrs)

• NumPy and Pandas in depth
• EDA and visualization
• Working with messy real-world datasets

Module 3 · Statistics for Data Science (8 hrs)

• Descriptive and inferential statistics
• A/B testing
• Probability distributions

Module 4 · Machine Learning (14 hrs)

• Regression, classification, clustering
• Feature engineering and pipelines
• Model evaluation and tuning

Module 5 · Deep Learning & NLP (10 hrs)

• Neural networks with PyTorch
• Embeddings and transformers
• Text classification project

Module 6 · Generative AI & Capstone (10 hrs)

• Prompt engineering patterns
• RAG pipelines and vector databases
• Capstone: build an LLM-powered analytics assistant

Upcoming Batches

Frequently Asked Questions

Do I need a programming background?

No. We start with Python fundamentals and build up gradually.

Will I get a certificate?

Yes — a course-completion certificate, plus prep for industry certifications.

Are sessions recorded?

Yes. All live sessions are recorded and available for one year.

Is there job assistance?

Yes — resume reviews, mock interviews, and referrals through our partner network.