Your Shortcut to
Mastering Data Science,
AI & ML
Learn by Doing, Build for Real, and Get Hired in 4 Months.
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Why Data Science?
High Demand
Data Science roles are among the fastest-growing and highest-paid in the tech industry.
Impactful Work
Help organizations make data-driven decisions that solve real-world problems.
Versatile Skills
Data science skills are applicable across industries from healthcare to finance.
Course Structure
Introduction to Data Science
Fundamentals of AI, ML, and Data-driven decision making.
Python for Data Science
Master Python, NumPy, Pandas, and Data Manipulation techniques.
Exploratory Data Analysis
Data cleaning, visualization, and feature engineering.
Machine Learning Basics
Supervised & Unsupervised learning models.
Deep Learning & Neural Networks
Build AI models using TensorFlow & PyTorch.
Natural Language Processing (NLP)
Text analytics, sentiment analysis & chatbots.
Computer Vision
Object detection, image classification & OpenCV.
Big Data & Cloud AI
Working with Hadoop, Spark, and Cloud AI APIs.
AI Model Deployment
Deploy models using Flask, FastAPI & AWS.
Real-World AI Projects
Work on real-time industry projects & case studies.
Projects Based Learning
Stock Market Trend Analysis
Analyze historical stock data and visualize trends using matplotlib.
Image Processing with NumPy
Perform image processing and implement basic techniques.
Why Choose Us?
12+ real-world projects covering Data Science, AI, and ML to build practical skills.
Each module includes three projects: instructor-led, collaborative, and a capstone to showcase in your resume.
Projects aligned with industry needs to ensure your portfolio grabs recruiters' attention.
Your Mentors
Learn from industry professionals working in top product-based companies who have mastered the art of cracking tech interviews.
Asha
Software Engineer
Swarupa
Software Engineer
Anjaneyulu
Software Engineer
Charan
Software Engineer 2
Bharath
Software Engineer 2
Comparison
| Video Courses | Bootcamps | BSM | |
|---|---|---|---|
| Real work experience | |||
| True, project-based learning | |||
| Live sessions & mentorship | |||
| Job-ready portfolio | |||
| Career guidance | |||
| Assured Referrals |
Course Curriculum
From fundamentals to advanced concepts in data science.