Course Details

Courses Descriptions

Here’s your 9-month program version of the Data Science, ML & Generative AI course, thoughtfully spread out to ensure deeper learning, stronger project execution, and more interview readiness:

🧠 Launch Your Career in Data Science, ML & GenAI with Mastery in Coding — in 9 Months!

This 9-month intensive program is crafted for individuals looking to enter the world of Data Science, ML, and Generative AI with strong foundations in Python, DSA, statistics, machine learning, and GenAI tools like ChatGPT, LangChain, and Hugging Face.

You’ll experience a gradual, yet in-depth learning curve through structured modules, projects, self-paced content, and real-world challenges — perfect for career switchers, upskillers, or final-year students.

🚀 What You’ll Gain:

✅ Python & DSA Confidence
✅ Core Data Science + ML Skills
✅ Hands-on with GenAI Apps
✅ 5+ Portfolio-Grade Projects
✅ Resume, LinkedIn & Interview Prep
✅ Pre-recorded + Self-paced Modules
✅ Capstone Project & Certification

📦 Course Modules – Month-by-Month Breakdown

🔹 Month 1: Python Programming for Data Science

• Python Basics to Advanced

• Variables, Functions, Loops, Conditions

• OOP in Python

• File Handling

• Exception Handling

• Practice: Hackerrank, Leetcode Beginner Problems

🔹 Month 2: Data Structures & Algorithms

• Arrays, Linked Lists, Stacks, Queues

• Searching & Sorting Algorithms

• Recursion & Greedy Algorithms

• Time & Space Complexity

• DSA-focused Interview Practice (Leetcode/InterviewBit)

🔹 Month 3: Math & Stats for ML

• Linear Algebra, Vectors & Matrices

• Probability & Distributions

• Combinatorics, Permutations

• Descriptive & Inferential Stats

• Hypothesis Testing, ANOVA, Z-test, T-test

• Correlation & Regression Analysis

🔹 Month 4: Data Wrangling & Visualization

• Pandas, Numpy for Data Manipulation

• Exploratory Data Analysis (EDA)

• Handling Nulls, Outliers, Duplicates

• Feature Engineering

• Data Visualization using Matplotlib, Seaborn, Plotly

• Mini Project: Exploratory Analysis on Real Dataset

🔹 Month 5: Databases, SQL & Basic BI

• Relational Databases & SQL Basics

• CRUD Operations, Joins, Subqueries

• Working with Google Sheets / Excel

• Basic Dashboarding with Power BI / Tableau (optional)

• Integration with Python (SQLite3, Pandas)

🔹 Month 6: Core Machine Learning

• Supervised & Unsupervised Learning

• Regression, Classification Algorithms

• KNN, Decision Trees, Random Forest, SVM

• Naive Bayes, K-Means Clustering

• Model Evaluation Metrics

• Hyperparameter Tuning (GridSearchCV)

• ML Mini Project: Customer Segmentation / House Price Prediction

🔹 Month 7: Advanced ML & Deployment

• Cross-validation, Feature Scaling

• Model Interpretability (SHAP, LIME)

• Pipelines & Model Persistence (Joblib, Pickle)

• Introduction to Streamlit

• Model Deployment using Streamlit + Hugging Face Spaces

• Project: End-to-End ML Model with Deployment

🔹 Month 8: Generative AI & Prompt Engineering

• GenAI Fundamentals & Use Cases

• Prompt Engineering Techniques

• ChatGPT, OpenAI API Integration

• LangChain for Custom Workflows

• Hugging Face Transformers

• Project: GenAI Chatbot / Auto Content Generator

🔹 Month 9: Capstone Project + Career Track

• Final Capstone: Build & Deploy a Full-Stack GenAI or ML App

• Resume & LinkedIn Optimization

• GitHub Profile Review & Project Showcasing

• Mock Interviews (Technical & HR Rounds)

• Career Mentoring + Certification Issued

🧰 Tech Stack & Tools You’ll Use:

• Languages & IDEs: Python, Jupyter, VS Code

• Libraries: Pandas, Numpy, Scikit-learn, Seaborn, Matplotlib, Plotly

• ML Tools: PyCaret, AutoML, Streamlit

• GenAI: ChatGPT, OpenAI API, LangChain, Hugging Face

• Others: GitHub, Google Colab, SQLite, Power BI/Tableau

🎓 Outcomes After 9 Months:

🎯 Job-Ready Roles:

• Data Scientist / Analyst

• ML Engineer

• GenAI Developer

• AI/ML Product Analyst

🧩 What You Walk Away With:

• Strong Theoretical & Practical Skills

• Portfolio with 5+ Projects

• Resume & LinkedIn Optimization

• Career Mentorship & Interview Readiness

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