Transform your career with our comprehensive Data Science, Machine Learning & Generative AI program at Grras Raipur. This hands-on, project-based course at Chhattisgarh’s emerging IT training hub covers Python fundamentals, advanced ML algorithms, Deep Learning, NLP, and cutting-edge Generative AI with RAG
150k+ Placemenets to Date
600+ Hiring Partners
76 Lakhs Highest Annual
Next Batch starts in December
Build an Impressive Portfolio
Expand Your Career Opportunities
Stay Ahead with Industry Trends
Master Cutting-Edge Development Tools
Leading tech giants and innovative startups are actively hiring data scientists and ML engineers proficient in these technologies.

βΉ8β15 LPA (Entry-Level), βΉ15β25 LPA (Mid-Level), βΉ30+ LPA (Senior-Level)

Β Data Scientists extract insights from structured and unstructured data using Python, R, SQL, and machine learning frameworks to drive strategic decision-making.

βΉ6β15 LPA (Entry-Level), βΉ15β25 LPA (Mid-Level), βΉ25β40+ LPA (Senior-Level)

Β Machine Learning Engineers develop predictive models, design algorithms, and deploy AI solutions using tools like TensorFlow, PyTorch, and Scikit-learn.

βΉ6β12 LPA (Entry-Level), βΉ12β25 LPA (Mid-Level), βΉ25+ LPA (Senior-Level)

Β Data Engineers build scalable data pipelines, manage databases, and optimize data flows for analysis.

βΉ8β20 LPA (Entry-Level), βΉ20β35 LPA (Mid-Level), βΉ35+ LPA (Senior-Level)

AI Specialists design and develop intelligent systems, focusing on natural language processing, computer vision, and AI-driven solutions.

βΉ5β10 LPA (Entry-Level), βΉ10β18 LPA (Mid-Level), βΉ18+ LPA (Senior-Level)

Statisticians use statistical methods and tools to analyze data, interpret results, and make recommendations for business and research purposes.

Β βΉ8β18 LPA (Entry-Level), βΉ20β35+ LPA (Mid-Level)

Β NLP Engineers work on language-based AI systems, such as chatbots, sentiment analysis tools, and speech-to-text systems, using Python and NLP libraries.
Leading tech giants and innovative startups are actively hiring data scientists and ML engineers proficient in these technologies.

βΉ8β15 LPA (Entry-Level), βΉ15β25 LPA (Mid-Level), βΉ30+ LPA (Senior-Level)

Β Data Scientists extract insights from structured and unstructured data using Python, R, SQL, and machine learning frameworks to drive strategic decision-making.

βΉ6β15 LPA (Entry-Level), βΉ15β25 LPA (Mid-Level), βΉ25β40+ LPA (Senior-Level)

Β Machine Learning Engineers develop predictive models, design algorithms, and deploy AI solutions using tools like TensorFlow, PyTorch, and Scikit-learn.

βΉ6β12 LPA (Entry-Level), βΉ12β25 LPA (Mid-Level), βΉ25+ LPA (Senior-Level)

Β Data Engineers build scalable data pipelines, manage databases, and optimize data flows for analysis.

βΉ8β20 LPA (Entry-Level), βΉ20β35 LPA (Mid-Level), βΉ35+ LPA (Senior-Level)

AI Specialists design and develop intelligent systems, focusing on natural language processing, computer vision, and AI-driven solutions.

βΉ5β10 LPA (Entry-Level), βΉ10β18 LPA (Mid-Level), βΉ18+ LPA (Senior-Level)

Statisticians use statistical methods and tools to analyze data, interpret results, and make recommendations for business and research purposes.

Β βΉ8β18 LPA (Entry-Level), βΉ20β35+ LPA (Mid-Level)

Β NLP Engineers work on language-based AI systems, such as chatbots, sentiment analysis tools, and speech-to-text systems, using Python and NLP libraries.
Master the full spectrumβfrom databases to Generative AIβthrough 8 comprehensive modules covering 400+ hours of content, hands-on projects, and real-world applications at Grras Raipur. Gain end-to-end expertise in data analytics, machine learning, deep learning, and AI deployment.
Duration: 6β8 months intensive program
Mode: Live online classes + In-person sessions at Grras Raipur (with recordings)
Schedule: Weekend batches + Weekday evening sessions for students & professionals
Support: 24/7 mentor guidance & doubt resolution
Assessment: Weekly assignments + capstone projects
Fresh graduates from NIT Raipur, CSVTU, and Chhattisgarh colleges entering data science & AI fields
Working professionals in Raipur transitioning to ML/AI roles
Software developers in Chhattisgarh wanting to upskill in data science
Business analysts seeking technical analytics and ML expertise
Students pursuing CS or related degrees in Chhattisgarh
Entrepreneurs building AI-powered applications and automations
Database Management: SQL, NoSQL, and Python database connectivity
Statistical Analysis: Descriptive, inferential statistics & data-driven decision-making
Machine Learning: Build supervised & unsupervised ML models
Deep Learning: Implement neural networks, CNNs, RNNs using TensorFlow
NLP Proficiency: Text processing, classification & sentiment analysis
Generative AI: Build RAG-powered chatbots and AI assistants
Cloud Deployment: Deploy ML models on AWS, Azure & GCP
Connect with data scientists from NIT Raipur, CSVTU & Chhattisgarh colleges
Join Grras Raipurβs AI/ML learning community
Collaborate on advanced analytics & ML projects
Network with Raipurβs data professionals
Direct connections with Raipur tech & analytics companies
Portfolio reviews for data science roles
Interview prep for ML/AI positions
Career guidance tailored to Chhattisgarh’s analytics market
Remote placement support across India
Convenient Raipur training center
Advanced AI/ML labs with GPU support
Access to cloud platforms for ML deployment
High-performance computing resources
Network with Raipurβs analytics & tech community
Access local data science opportunities
Connect with Chhattisgarhβs AI innovation hubs
Leverage opportunities in ML, AI & analytics rolesEnroll at Grras Raipur Today!
Master Data Science, Machine Learning & Generative AI with Chhattisgarhβs leading training institute.
Your journey from Raipur to AI/ML mastery starts here!
Master Tools, Techniques, and Real-World Applications
Our industry-aligned curriculum at Grras Raipur spans 8 comprehensive modules, from database fundamentals to advanced Generative AI. Each module combines theoretical concepts with practical implementation at our Raipur training center.
Objective: Develop practical skills in extracting, transforming, and loading data from multiple sources to ensure clean, structured, and reliable datasets for analysis and reporting.
Objective: Master the process of analyzing and visualizing data to identify trends, relationships, and anomalies, enabling informed decision-making through exploratory data analysis (EDA).
Objective: Gain expertise in uncovering patterns, detecting anomalies, and summarizing key insights from datasets through effective exploratory data analysis techniques.
Objective: Develop the ability to build, train, and evaluate machine learning models to make data-driven predictions and automate analytical tasks effectively.
Objective: Understand and implement key machine learning algorithms to solve real-world problems through data classification, prediction, and pattern recognition.
Objective: Learn to streamline and automate the deployment, monitoring, and maintenance of machine learning models using ML-Ops for efficient and scalable production workflows.
Apply your learning through two capstone projects: create comprehensive analytical reports from real-world datasets and develop an intelligent RAG-powered chatbot, demonstrating end-to-end data science and AI implementation skills.
The Car Price Predictor project is a web-based application that allows users to estimate the selling price of used cars by inputting key details, such as mileage and year of manufacture. The application leverages a linear regression model, trained on historical data, to generate price predictions. Users can interact with…
The Loan Prediction project is a web-based application that leverages data science to estimate loan approval outcomes. Users enter vital financial details, such as income and credit score, into an intuitive interface built with Flask. The system employs a Random Forest model, developed using Scikit-learn, which is trained on historical…
The Wine Quality Predictor project is a machine learning-based application designed to assess wine quality based on key chemical properties. Using a linear regression model built with Scikit-learn, the system analyzes features like acidity, alcohol content, and pH level to estimate a quality score. The project evaluates the model's accuracy…
The IPL Score Predictor project is a machine learning-based model designed to estimate the final score of an IPL match based on key in-game factors. Using a linear regression model built with Scikit-learn, the system analyzes inputs like current runs, wickets, and overs to predict the total score at the…
The Movie Magic project is a machine learning-powered recommendation system designed to suggest movies based on user preferences and past ratings. Using collaborative filtering and content-based recommendation techniques, the model analyzes user behavior, movie details, and rating patterns to uncover personalized movie suggestions. The system evaluates its recommendation accuracy by…
The E-Commerce Customer Spending Predictor is a machine learning-based project that helps businesses understand and forecast customer spending behavior. Using a linear regression model built with Scikit-learn, the system analyzes key factors such as session length, time spent on the app, and other user interactions to estimate yearly spending. This…
The Diabetes Prediction project is a machine learning-based model designed to assess the likelihood of diabetes in individuals based on key health indicators. The dataset, sourced from Kaggle, originates from the National Institute of Diabetes and Digestive and Kidney Diseases and includes features such as Number of Pregnancies, Insulin Level,…
The Arrhythmia Classification project leverages machine learning to detect and classify different types of arrhythmia using ECG data. The dataset consists of 452 samples and 16 classes, including both normal and various arrhythmia conditions. A major challenge is the high-dimensional nature of the data, with 279 features exceeding the number…
Earn a professional Graphic Design Certification in Raipur, recognized and valued by leading companies worldwide. This certification formally validates your expertise in essential graphic design areas such as typography, color theory, branding, layout design, digital illustration, and visual composition.
By completing this course and earning the credential, you demonstrate your ability to create visually stunning, meaningful, and impactful designs that communicate ideas effectively. It boosts your career opportunities and enhances your professional credibility in Raipurβs growing creative and digital design industry, making you a strong choice for employers in both local and global markets.
Professionals Trained
Countries & Counting
Corporate Served
Master a curriculum crafted and constantly updated by industry experts to match real-world trends, ensuring every concept and project builds job-ready, future-proof skills.
Receive one-on-one mentorship, resume reviews, mock interviews, and complete placement assistance through our 500+ hiring partners to accelerate your tech career.
Learn directly from certified professionals with years of hands-on experience who guide you through every module, project, and career milestone personally.
Gain practical exposure by working on live, industry-grade projects that mirror real business challenges, strengthening your technical execution and problem-solving abilities.
Join thousands of successful learners who have launched rewarding tech careers through Grras. Our consistent placement results, trusted partnerships, and alumni success stories speak for the quality of our training.
Navigate your professional journey with a comprehensive guide that transforms learning into opportunity. Discover proven strategies to build skills, gain experience, and secure your ideal position in today’s competitive job market.
Focus on industry-relevant skills
Real-world projects to implement learned concepts.
Weekly tests to assess progress
Mock sessions with real-time feedback from experts
Host industry experts for advanced technical guidance
Focus on problem-solving, critical thinking, and domain expertise
Through interactive classes, students enhance both verbal and non-verbal communication, while also learning to present their ideas clearly, confidently, and effectively.
Enhances students' problem-solving, analytical thinking, and numerical ability-preparing them for competitive exams and placement tests.
Help students structure professional, impactful resumes
* Partner with top companies for hiring pipelines * Conduct webinars and sessions with recruiters
* Connect candidates to aligned opportunities * Organize hiring events and recruitment drives
Equip students to handle high-pressure interview situations
Prepare students for various interview formats, including case studies, coding rounds, and group discussions
* Address specific weaknesses and barriers to success. * Develop personalized improvement plans