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Rounded Data Science & GenAI Professional

Master the fusion of data science fundamentals with generative AI, creating solutions that transform how businesses understand and act on information. Learn to communicate insights that drive meaningful change.
Next batch starts in 15 days

1st July 2025

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Learning Outcomes

After completing this program, you’ll be able to:

  • Design and implement end-to-end data science pipelines
  • Apply appropriate machine learning algorithms to solve business problems
  • Integrate generative AI capabilities into data workflows
  • Communicate technical findings to non-technical stakeholders
  • Develop data visualization dashboards that drive decision-making
  • Collaborate effectively in cross-functional teams

Tools &
Technologies Covered

  • Python and key data science libraries
  • SQL for data querying
  • Tableau/PowerBI for visualization
  • Machine learning frameworks
  • Cloud-based data platforms
  • Version control systems
  • Generative AI APIs and frameworks

Industry Projects

Work on real-world projects that mirror current industry challenges:

  • Customer segmentation for retail businesses
  • Predictive maintenance for manufacturing equipment
  • Sentiment analysis from customer feedback
  • Fraud detection in financial transactions
  • Recommendation systems for content platforms

Career Opportunities

  • Data Scientist
  • Machine Learning Engineer
  • AI Specialist
  • Business Intelligence Analyst
  • Data Visualization Expert

The Curriculum: Rounded Data Science & GenAI Professional

In today’s data-driven landscape, organizations don’t just need analysts—they need translators who can bridge technical findings with business strategy. Our Data Science with GenAI program cultivates both the analytical expertise to extract meaning from complex datasets and the communication skills to convey insights with impact, creating professionals who transform data into organizational value.
Duration

3 Months

Eligibility

Graduation in Computer Science

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Module 01
Introduction to Python

  • Basic syntax

  • Variables

  • Operators and conditional statements

  • Control flow statements

  • Functions

  • Data types

  • Exception handling

  • File handling

  • OOPS

  • What is Artificial Intelligence?

  • Machine Learning vs Deep Learning vs Data Science

  • Data Preparation

  • Supervised Learning

  • Unsupervised Learning

  • Artificial Neural Networks

  • Natural Language Processing

  • Computer Vision

  • Data loading

  • Understanding data with statistics

  • Understanding data with visualization

  • Preparing data

  • Feature selection

  • Classification

  • Regression

  • Clustering

  • Performance metrics

  • Improving performance

  • Mathematics for Machine Learning

  • Data representation

  • Linear modelling

  • Extended linear modelling

  • Stochastic gradient descent

  • Support Vector Machine

  • Naive Bayes

  • Decision Trees

  • Clustering methods

  • Dimensionality reduction using PCA

  • The Neural Network

  • Types of Neural Networks

  • Convolutional Neural Network (CNN)

  • Recurrent Neural Network (RNN)

  • Long Short-Term Memory (LSTM)

  • Autoencoders

  • Transformers

  • Tableau overview

  • Data sources

  • Collecting and assembling data

  • Creating visualizations

  • Filters

  • Dashboards

  • Introduction to Generative AI

  • Generative Models: GAN, GPT, Transformers, VAE, LLMs

  • Transformers and Attention Mechanism

  • Retrieval Augmented Generation (RAG)

  • What is a Prompt?

  • What is Prompt Engineering?

  • Best Practices for Prompt Creation

  • Common Prompt Engineering Tools and Techniques (Text-to-Text, Interview Pattern, Chain-of-Thought, Tree-of-Thought approaches)

  • 10 mini projects

  • Capstone project (3 months duration)

Alumni Success Stories

Here’s what our alumni have to say about this program.

RP2 helped me understand machine learning concepts in a simple way. The mentors were always encouraging and supportive. I’m glad to have started my journey as an ML Developer at Zen Meraki.
Navya Venkidesh

Navya Venkidesh

ML Developer

RP2’s practical approach and friendly mentors helped me build my skills. The program made me more confident about my career choices. I’m now working as a Category Growth Analyst at Xylem Learning.
Swathy P

Swathy P

Category Growth Analyst

Switching from hospital administration to analytics was a big step for me. RP2’s support and training made the journey much smoother. I’m happy to be working as an Internal Audit Data Analyst at Manappuram Jewellers.
Juhi Roy

Juhi Joy

Internal Audit Data Analyst, Grade Asst Manager

RP2 gave me the exposure and confidence I needed for my first job. The training was practical and the mentors were very helpful. I’m now a Scholar Trainee at Wipro.
Prince Reji

Prince Reji

Scholar Trainee - WILP

After a career break, I was worried about getting back to work. RP2’s program and guidance helped me regain my confidence. I’m grateful to have joined EY as a Technical Consultant.
Resni

Resni Faizal

Technical Consultant

RP2’s training was very hands-on and helped me understand the basics well. The mentors were supportive and always available for guidance. I’m happy to start my career at AINSURTECH.
Abdul Jaleel

Abdul Jaleel

Jr. Data Analyst

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