Course Details

Courses Descriptions

🚀 Industry-Aligned Data Science, ML, Deep Learning & GenAI Program (9 Months)
With Real-World Projects Inspired by Top Global Companies
📦 Month-by-Month Curriculum with Industry Projects
🔹 Month 1: Python Programming for Data Science
Core Skills
Python Basics to Advanced
Variables, Functions, Loops, Conditions
OOP in Python
File Handling & Exception Handling
Coding Practice: HackerRank, LeetCode (Beginner)
🏭 Industry Project
Project 1: Automated Data Processing & Validation System
📌 Inspired by: TCS, Infosys
Automate ingestion and validation of daily operational data
Implement logging, error handling, and reporting
🎯 Roles: Junior Data Analyst, Python Developer
🔹 Month 2: Data Structures & Algorithms
Core Skills
Arrays, Linked Lists, Stacks, Queues
Searching & Sorting Algorithms
Recursion, Greedy Algorithms
Time & Space Complexity
Interview-Oriented DSA Practice
🏭 Industry Project
Project 2: Optimized Transaction Processing Engine
📌 Inspired by: Amazon, Flipkart
Design efficient data structures for high-volume transactions
🎯 Roles: Software Engineer, Backend Developer
🔹 Month 3: Math & Statistics for ML & DL
Core Skills
Linear Algebra (Vectors, Matrices, Eigenvalues)
Probability & Distributions
Descriptive & Inferential Statistics
Hypothesis Testing (Z-test, T-test, ANOVA)
Correlation & Regression
🏭 Industry Project
Project 3: A/B Testing & Feature Impact Analysis
📌 Inspired by: Netflix, Swiggy
Measure impact of product features using statistical testing
🎯 Roles: Data Analyst, Product Analyst
🔹 Month 4: Data Wrangling & Visualization
Core Skills
Pandas, NumPy, EDA
Handling Nulls, Outliers, Duplicates
Feature Engineering
Visualization: Matplotlib, Seaborn, Plotly
🏭 Industry Project
Project 4: Executive Analytics Dashboard
📌 Inspired by: Deloitte, EY
Transform raw enterprise data into decision-ready dashboards
🎯 Roles: Business Analyst, Data Analyst
🔹 Month 5: Databases, SQL & BI
Core Skills
SQL (Joins, Subqueries, Window Functions)
Relational Databases
Excel / Google Sheets
Power BI / Tableau
Python + SQL Integration
🏭 Industry Project
Project 5: Sales & Revenue Intelligence System
📌 Inspired by: PwC, KPMG
Build SQL-driven dashboards with KPIs for leadership
🎯 Roles: BI Analyst, Reporting Analyst
🔹 Month 6: Core Machine Learning
Core Skills
Supervised & Unsupervised Learning
Linear & Logistic Regression
Decision Trees, Random Forest
SVM, KNN, Naive Bayes
Model Evaluation & Hyperparameter Tuning
🏭 Industry Projects
Project 6A: Customer Segmentation Model
📌 Inspired by: Amazon, Walmart
Project 6B: Price Prediction System
📌 Inspired by: Zillow, MagicBricks
🎯 Roles: ML Engineer, Data Scientist
🔹 Month 7: Deep Learning & Neural Networks
Core Skills
Artificial Neural Networks (ANN)
Activation Functions & Loss Functions
Backpropagation & Gradient Descent
TensorFlow & Keras
Model Optimization & Overfitting Control
🏭 Industry Projects
Project 7A: Customer Churn Prediction using ANN
📌 Inspired by: Telecom companies, Amazon Prime
Project 7B: Image Classification System
📌 Inspired by: Google, Meta
🎯 Roles: Deep Learning Engineer, AI Engineer
🔹 Month 8: Advanced Deep Learning + Generative AI
Core Skills
CNNs (Convolutional Neural Networks)
RNNs & LSTMs
Transfer Learning
GenAI Fundamentals
Prompt Engineering
OpenAI API, LangChain
Hugging Face Transformers
🏭 Industry Projects
Project 8A: Recommendation System using Deep Learning
📌 Inspired by: Netflix, Spotify
Project 8B: GenAI-Powered Customer Support Assistant
📌 Inspired by: Flipkart, Amazon
🎯 Roles: GenAI Engineer, Applied AI Engineer
🔹 Month 9: Capstone Project + Career Track
Capstone Options (Choose One):
🏭 Capstone Projects
AI-Powered Business Intelligence Platform
📌 Inspired by: Deloitte, PwC
End-to-End Recommendation Engine (ML + DL)
📌 Inspired by: Netflix, Amazon
Enterprise GenAI Assistant (LLMs + LangChain)
📌 Inspired by: Microsoft, Google
💼 Career Enablement
Resume & LinkedIn Optimization
GitHub Portfolio Review
Mock Technical & HR Interviews
Placement Support & Referrals
Industry-Recognized Certification