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Six-month Data Science program covering Python, statistics, Machine Learning, Deep Learning, NLP, and Generative AI, with 20 sessions and 40 hours of training each month.
Learner rating
4.9/5
Course duration
6 Months
Learning modules
6 modules
Learning mode
Offline
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Data Science with GenAI is a 6 month (24 week) industry focused program covering Business Intelligence, Python, statistics, Machine Learning, Deep Learning, NLP, and Generative AI. With 20 sessions and 40 hours of training each month, learners complete six industry-oriented projects, including a final capstone, while building a strong portfolio and preparing for interviews and placement opportunities.
Hands-on practice with Python, statistics, Machine Learning, Deep Learning, NLP, and Generative AI
Six industry-oriented monthly projects plus a complete Data Science and GenAI capstone
20 sessions and 40 hours of training each month across 24 weeks
Resume building, mock interviews, interview preparation, and job placement support
A structured learning journey
Explore the curriculum, build your understanding one module at a time, and put each new skill into practice.
Find out how this curriculum fits your career goals.
Tools & technologies
Explore industry-relevant tools through hands-on learning to master practical, in-demand skills.
Build practical skills with industry-relevant learning, expert guidance, and hands-on projects designed for modern teams.
Get the complete curriculum, tools, projects, and career support details in one brochure.
Build something that matters
Every student completes 6 real-world projects — one per month — building a professional portfolio demonstrated during placement interviews.
Purpose
Build a Python application that reads business data from a CSV file and calculates revenue, growth, top-performing products, and other essential KPIs.
Business Output
A reusable KPI tool that transforms raw business data into decision-ready metrics for revenue, growth, and product performance.
Purpose
Analyse and clean an e-commerce dataset using Python, perform exploratory data analysis, identify trends, and validate business assumptions through statistical testing.
Business Output
A comprehensive analytical report that highlights customer behaviour, sales trends, product performance, correlations, and statistically supported business insights.
Purpose
Segment customers based on their behaviour and build a machine-learning model that predicts which customers are likely to stop using the company’s products or services.
Business Output
A customer-retention solution that identifies high-risk customers, reveals valuable customer segments, and supports targeted retention strategies.
Purpose
Build a deep-learning model to classify images using CNNs or forecast future sales and demand using LSTM-based time-series analysis.
Business Output
An intelligent prediction system that supports automated image classification or enables businesses to improve demand planning, inventory management, and sales forecasting.
Purpose
Build an intelligent text-processing application that performs sentiment analysis, generates summaries, and answers questions from uploaded documents using NLP, LLMs, and RAG.
Business Output
An AI-powered application that transforms unstructured text into useful insights, automates document analysis, and improves access to business information.
Purpose
Develop an end-to-end business solution that combines data cleaning, exploratory analysis, Machine Learning or Deep Learning, NLP, and Generative AI.
Business Output
A complete AI-powered decision-support platform that generates predictions, business insights, recommendations, and executive summaries from raw data.
Portfolio tip: document the problem, your approach, and the result so you can walk an interviewer through your decisions.
Learn more about how we have been impacting thousands of careers.
Recognition that travels with you
Certification pathway
Build a Data Science portfolio with six industry-oriented projects, a complete capstone, resume and LinkedIn preparation, technical and HR mock interviews, and certification guidance from experienced mentors.
Beyond the classroom
Soft skill session
Resume building
Aptitude training
LinkedIn profile building
Mock interview
Job assistance
Dedicated placement support with industry connections and recruiter interactions.
Your next opportunity starts here
Industry-ready courseFilling fast
CAREER OUTCOME
Offer letter preview
Congratulations!
Your practical skills, projects, and career preparation can help you approach interviews with clarity and confidence.
Role-ready preparation
Portfolio, interview practice, and mentor feedback.
Career counsellor
A little more clarity
Answers to common questions about learning, projects, and getting started.
It is a 6 month (24 week) industry-focused program covering Business Intelligence, Python, statistics, Machine Learning, Deep Learning, NLP, and Generative AI through 20 sessions and 40 hours of training each month.
The program duration is 6 months, or 24 weeks, including guided learning, practical assignments, six industry-oriented projects, and career preparation.
The program is suitable for students, graduates, working professionals, and beginners who want to build a career in Data Science and AI.
No. The program starts with Business Intelligence concepts and Python fundamentals, making it suitable for beginners as well as learners with basic knowledge.
You will learn Python, NumPy, Pandas, Matplotlib, Seaborn, Plotly, statistics, Machine Learning, Deep Learning with TensorFlow and Keras, NLP, and Generative AI tools such as ChatGPT, OpenAI API, LangChain, and RAG.
Yes. The program focuses on practical exercises, assignments, monthly projects, and real-world business scenarios to strengthen your Data Science and AI skills.
Yes. You will complete 6 industry-oriented projects, including a final Data Science and Generative AI capstone, so you can demonstrate your skills through a professional portfolio.
Yes. Upon meeting the program requirements, you will receive a RaysTech Academy certificate.
If included in your selected program, you will receive an opportunity to gain practical internship experience along with an internship certificate.
Yes. The program includes interview preparation, mock interviews, and guidance to help you prepare for Data Science roles.
Yes. We provide career guidance, resume support, interview preparation, and assistance with relevant job opportunities.
Yes. You will receive guidance on resume building and LinkedIn profile optimization to improve your professional profile.
You can explore roles such as Data Scientist, Machine Learning Associate, AI Data Analyst, and NLP Associate, depending on your skills and experience.
The program includes guided learning and mentor support, with practical sessions designed to help you understand and apply the concepts.
You can contact RaysTech Academy for enrollment details, batch schedules, fees, and the next available start date.
Discuss your background, explore the course, and get help choosing a learning plan that fits your goals.
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