Specialization Program

Data Science &
Machine Learning

A hands-on, industry-vetted pathway designed for professionals to master predictive modeling, cloud MLOps, and the latest GenAI architectures.

  • Beginner-Friendly: Perfect for transitioners with structured guidance.
  • Immersive Experience: Fundamentals + Cloud Tools + Real Workflows.
  • Action-Oriented: Guided projects to build your production portfolio.
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At a Glance: Course Overview

🏫

Instructor-Led

12 Weekends of live, interactive training with industry experts.

💻

Self-Paced Resources

80+ hours of on-demand content and lab environments.

🎓

Certification

Industry-recognized specialization certificate upon completion.

🤝

Placement Support

6 months of dedicated career transition support.

Who Should Enroll?

Aspiring Data Scientists

Learners looking to break into the AI domain by building practical experience with data and models.

Software Engineers

Programmers who want to transition into ML engineering and deploy models into production.

Data Analysts

Professionals who work with data and want to move from descriptive to predictive analytics.

Tech Leads

Decision-makers aiming to understand AI capabilities to oversee and plan ML projects.

Opportunities & Industry Outlook

Average Salary for certified professionals: ₹12-18 LPA

ML Engineer

Build and deploy production-grade machine learning models.

Data Scientist

Extract insights and build predictive solutions for complex business problems.

MLOps Specialist

Automate ML lifecycles and manage production scaling on cloud.

GenAI Architect

Design systems using LLMs, Multi-Agent frameworks, and RAG.

What You'll Learn

01

Module 1: Python & Statistics Fundamentals

Master Python programming, NumPy, Pandas, and statistical foundations essential for data science.

Python Core Concepts & OOP
NumPy for Numerical Computing
Pandas DataFrame Operations
Scikit-learn Library Basics
TensorFlow/PyTorch Intro
Statistics & Probability Theory
SQL for Data Analysis
Data Wrangling & Preprocessing
PRO PROJECT Hands-on Project included in this module
02

Module 2: Machine Learning Algorithms

Learn supervised and unsupervised ML algorithms including regression, classification, and clustering.

Supervised Learning Overview
Linear Regression Implementation
Logistic Regression
Classification Algorithms
Decision Trees & Random Forests
Support Vector Machines (SVM)
K-Nearest Neighbors (KNN)
Naive Bayes Classifier
PRO PROJECT Hands-on Project included in this module
03

Module 3: Cloud Platforms & Deployment

Deploy ML models on AWS, Azure, and GCP. Learn cloud MLOps and production workflows.

AWS SageMaker for ML
Azure Machine Learning Studio
Google Cloud Platform (GCP) AI
Cloud Storage Solutions
Model Deployment Strategies
Docker for ML Applications
Kubernetes Basics
CI/CD for ML Pipelines
PRO PROJECT Hands-on Project included in this module
04

Module 4: Advanced AI & Deep Learning

Master Generative AI, LLMs, GANs, VAEs, Agent Architectures, and cutting-edge AI technologies.

Deep Learning Fundamentals
Neural Networks Architecture
Backpropagation Algorithm
Convolutional Neural Networks (CNN)
Recurrent Neural Networks (RNN)
LSTM & GRU
Transfer Learning
Generative Models (GANs)
PRO PROJECT Hands-on Project included in this module

Tools You'll Explore

🛠️ Python
🛠️ LangChain
🛠️ OpenAI API
🛠️ Hugging Face
🛠️ Pinecone
🛠️ AWS SageMaker
🛠️ Docker
🛠️ FastAPI
🛠️ Pandas
🛠️ TensorFlow

Certification Exam Details

Duration
90 Minutes
Passing Score
70% (35/50)
Format
Multiple Choice
Delivery
Online Proctored

Exam Blueprint

Foundation & Python 15%
ML Algorithms 30%
Cloud & MLOps 25%
Capstone Implementation 30%

Discover Your Ideal Role-Based Roadmap!

Not sure which specialization is right for your career stage? Take our quick AI Skills Assessment to discover the perfect certification path tailored for you.

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Prerequisites

📋

Professional Experience

We recommend at least 5 years of professional experience in IT or a related field. Basic knowledge of programming (Python preferred) and mathematics is helpful but not mandatory as we cover foundations.

Frequently Asked Questions

Do I need prior coding experience?

No! This course is designed for beginners. We start from absolute basics and take you to expert level. If you're completely new to coding, this is perfect for you.

What is the class schedule?

Classes are held on weekends (Saturday & Sunday) for 4-5 hours each day. You practice and work on projects during weekdays at your own pace. This schedule works perfectly for working professionals and students.

Is placement guaranteed?

While we can't guarantee placement, we have an 85% placement rate. We provide comprehensive placement support including resume building, mock interviews, and direct referrals to 200+ companies. Most students get placed within 3 months of course completion.

What if I miss a class?

All classes are recorded and you get lifetime access. You can watch recordings anytime and catch up on missed sessions. Our support team is also available to help you.

Is EMI available?

Yes! We offer flexible EMI options. You can pay in easy monthly installments. Contact our team for more details.

What is the refund policy?

We offer a 100% money-back guarantee if you're not satisfied within the first 2 weeks of the course. No questions asked.

How long do I have access to the course materials?

You get lifetime access to all course recordings, materials, and the private community. You can review the content anytime, even after course completion.

Ready to Transform Your Career?

Join 34,340+ students who transformed their careers. Limited seats available for next batch. Enroll now and start your journey to becoming a professional developer.

  • 📅 Schedule: Weekend Classes + Weekday Practice
  • Duration: 12 Weekends (Sat, Sun 3-4 hours)
  • 🎯 Outcome: Job-ready skills + Placement support
  • 🔴 Limited Seats: Only 25 spots left for next batch
🛡️

100% Money-Back Guarantee

If you're not satisfied within the first 2 weeks, we'll refund your entire fee. No questions asked.

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Join 34,340+ Happy Students! 😊

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