Become a Job-Ready Data Scientist
Master Python, Statistics, SQL, Machine Learning, and Data Visualization with live mentorship. Build a real portfolio and break into high-paying data roles.
What You Will Learn?
A complete curriculum that takes you from statistical foundations to production-grade data science workflows.
What Is a Data Scientist?
A GenAI App Developer is a professional who builds applications by integrating Large Language Models (LLMs) like GPT-4, Llama 3, or Claude into software products.
Companies increasingly hire data scientists who can also deploy models, not just analyze spreadsheets.
- Exploratory data analysis on real datasets
- Building and validating ML models
- Writing production-ready SQL queries
- Communicating insights through visualization
- Feature engineering and model tuning
- Deploying models with basic MLOps practices
Why This Role Is Exploding in 2026?
Data-Driven Decisions
Every business function like marketing, finance, operations now runs on data models, not gut instinct.
Automated Reporting
Businesses want dashboards and forecasts that update themselves, not monthly manual reports.
Predictive Analytics
From churn prediction to demand forecasting, every industry needs predictive models.
Who Is This For?
Skills Covered in This Course
Pandas & NumPy
Efficient data manipulation for large datasets.
Regression & Classification
Core supervised learning algorithms end-to-end.
Statistical Modeling
A/B testing, confidence intervals, and inference.
SQL & Databases
Real-world querying against relational databases.
Dashboards & BI
Turning models into decisions stakeholders trust.
Model Deployment
Shipping a trained model as a usable service.
Mentorship Learning Model
Live Mentorship
Direct interaction with Mehul Prajapati during weekend live sessions on Zoom.
Hands-on Projects
Work on real-world AI applications, from RAG systems to multi-agent production apps.
Scenario-Based Learning
Solve enterprise-level problems using specific AI case studies and workflows.
1-on-1 Feedback
Get personalized review on your code and architecture designs via Discord.
Career Coaching
Optimize your LinkedIn, resume, and portfolio for the 2026 AI job market.
Exclusive Resources
Access proprietary prompt libraries, deployment scripts, and project templates.
Tools & Technologies You Will Master
Job Roles After Completing
Salary Potential in AI Careers (India)
Detailed Course Curriculum
A structured, fully visible syllabus — no hidden content.
Python Data Foundation
- Python Basics for Data Science
- NumPy & Pandas Deep Dive
- Descriptive & Inferential Statistics
Data Wrangling & SQL
- Data Cleaning & Handling Missing Values
- SQL Queries, Joins & Aggregations
- Working with APIs & Real Datasets
Exploratory Data Analysis & Visualization
- EDA Techniques & Storytelling with Data
- Matplotlib & Seaborn Visualizations
- Building Interactive Dashboards
Machine Learning for Data Science
- Regression & Classification Models
- Clustering & Unsupervised Learning
- Model Evaluation & Hyperparameter Tuning
Advanced Analytics
- Time Series Forecasting
- Introduction to Deep Learning
- Feature Engineering at Scale
Capstone Projects & Deployment
- End-to-End Capstone Project
- Model Deployment Basics
- Portfolio & Interview Preparation
Course Logistics
Build Your AI Career
Don't wait for the AI revolution to replace your skills. Lead it by becoming an AI Application Developer.