• ISO Certified

  • AI-Powered

Become a Data Science and GenAI Professional

The Data Science, Machine Learning & Generative AI Internship at GRRAS Solutions is designed to provide students with practical exposure to modern AI technologies and real-world data-driven applications. The program

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Internship Student

Data Science, Machine Learning & Generative AI with Grras

Master the future of artificial intelligence with our comprehensive Data Science and Machine Learning course. Gain in-depth expertise in Python , advanced data structures, statistics, and machine learning algorithms. Learn industry-standard tools including NumPy, Pandas, Scikit-learn, and cloud platforms.

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76₹ LPA Highest Salary
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25,000+ Internship Offered
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20,000+ Global Certifications Issued

Earn an ISO-Certified Training Certificate

Upon successful completion of the internship program, students will receive an Internship Completion Certificate from GRRAS Solutions Pvt. Ltd.

The certificate validates the participant’s training, project work, and practical exposure gained during the internship. It highlights the technologies and skills learned during the program, including Python Programming, Data Analysis, Machine Learning, Deep Learning, and Generative AI.

This certificate can be used to enhance resumes, LinkedIn profiles, and professional portfolios, helping students showcase their practical knowledge and project experience to recruiters and organizations.

Data Science, Machine Learning & Generative AI Internship Curriculum with Grras Solutions

Course Description

This Data Science, Machine Learning & Generative AI Internship is a comprehensive, industry-focused program designed to build strong analytical and AI-driven problem-solving skills. The curriculum covers everything from data analysis and visualization to advanced machine learning models and cutting-edge generative AI techniques. Through hands-on projects and real-world datasets, participants will gain practical experience in building intelligent systems and data-driven applications.

Course Details

  • Duration: 75-80 hours total
  • Format: Live sessions + project-based internship experience
  • Approach: Hands-on learning with real-world datasets and AI use cases
  • Coverage: Data Analysis, Python, Statistics, Machine Learning, Deep Learning, NLP, and Generative AI (LLMs, Prompt Engineering)
  • Structure: Progressive learning path from fundamentals to advanced AI model development.

 

Who Should Enroll

  • Aspiring data scientists and AI professionals looking to enter the field
  • Students or graduates interested in machine learning and artificial intelligence
  • Developers aiming to expand their skills into data-driven and AI-based solutions
  • Professionals seeking practical exposure to real-world data science and generative AI projects

Detailed Curriculum

Data Science, Machine Learning & Generative AI Internship

Module 01 - Python Programming (Prerequisite)

  • Installing Python, Anaconda, Jupyter Notebook, and VS Code
  • Running the first Python program and understanding the development environment
  • Understanding Python syntax, variables, and data types
  • Input / Output operations and type conversion
  • Operators and expressions in Python
  • Conditional statements (if, elif, else)
  • Loops (for loop, while loop)
  • Functions and modules
  • Lambda functions and list comprehensions
  • File Handling
  • Exception handling
  • Object Oriented Programming

Module 02 - Data Warehouse

  • Installing and Setting up Database Server
  • CURD operations
  • Foreign Key & Nested Queries
  • Group by, Joins, Views
  • Storing, Retrieving, Updating Real time Application Data using Python

Module 03 - Data Collection

  • HTTP & HTTPS
  • Fetching data using REST APIs
  • Difference between REST and SOAP API
  • Kaggle
  • Fetching data from different data resources

Module 04 - Data Preprocessing

  • Cleaning Unstructured Data into Structured Data
  • One Hot Encoding
  • Text Processing using Vectorization and Bag of Words
  • Finding and Fixing / Removing Outliers in Data

Module 05 - Math’s and Statistics

  • Data Types in Statistics
  • Descriptive Statistics – Mean, Median, Mode,
  • Percentile, Decile, Variance, Standard deviation

Module 06 - Analysis of Data

  • Data Structure in Pandas
  • Data Selection using Pandas
  • Conditional Selection using Pandas
  • Sorting, Searching of Data
  • Group-by statements and Pivot tables
  • Data Aggregation to find Insights
  • Generating Reports to showcase insights from data using jupyter notebook

Module 07 - Data Visualization

  • Plotting data to get insights from data
  • Line Plot, Scatter Plot, Histograms, Box plot to understand numerical data
  • Bar Chart, Pie Chart to understand categorical data
  • Power BI

Module 08 - Introduction to ML Fundamentals

  • Introduction to Machine Learning
  • Types of Machine Learning
  • Using sk-learn built-in Transforms for data preprocessing

Module 09 - Supervised Machine Learning

  • Regression & Classification
  • Linear Regression
  • Logistic Regression
  • K-nearest Neighbors
  • Random Forest

Module 10 - Un-Supervised Machine Learning

  • Clustering
  • K-Means Clustering
  • PCA

Module 11 - Model Evaluation and Optimization

  • Evaluation Matrice – MAE, MSE, R2 Score, Confusion Matrix, Precision, Recall, F1 Score
  • Parameter Tuning – GridSearchCV

Module 12 - Natural Language Processing

  • Vectorization
  • Tokenization
  • Stemming
  • Lemmatization
  • Removing Stopwords
  • TF-IDF
  • Word2Vec
  • Text Classification

Module 13 - Deep Learning & Neural Networks

  • Introduction to Neural Networks
  • Layers
  • Activation Functions
  • Backpropagation

Module 14 - Deep Learning Algorithms

  • ANN
  • CNN
  • RNN

Module 15 - Transfer Learning

  • VGG
  • ResNet
  • MobileNet

Module 16 - Generative AI & Retrieval-Augmented Generation-RAG

  • Introduction to Transformers
  • Encoders and Decoders
  • LLMs
  • GPT
  • BERT
  • VAEs
  • GANs
  • RAG Pipelines

Module 17 - Projects Ideas

  1. Sales Performance Analysis and Visualization
  2. Population Data Visualization Using Charts
  3. Covid-19 Case Data Visualization and Insights
  4. Weather Data Visualization and Trend Analysis
  5. House Price Prediction
  6. Stroke Predictions
  7. Breast Cancer Prediction
  8. Movie Recommendation System
  9. Image Classification (MNIST)
  10. Text Summarization
  11. Multi-Class Text Classification
  12. Image classification using CNN
  13. Face Image Recognition
  14. Next Word Prediction
  15. AI Text Summarizer
  16. Personalized blog content generator using GPT

Build Real-World Data Science and Machine Learning Projects

Develop industry-ready cybersecurity skills by working on real-world projects. To find and address security flaws in systems and apps, conduct vulnerability assessments and penetration testing using programs like Kali Linux and Metasploit.

From Training to Placement A Roadmap to Success

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.

Expert Training sessions

Focus on industry-relevant skills

Hands on projects & Assignments

Real-world projects to implement learned concepts.

Performance Tracking

Weekly tests to assess progress

Mock Interviews

Mock sessions with real-time feedback from experts

Expert Sessions

Host industry experts for advanced technical guidance

Skill Refinement Tasks

Focus on problem-solving, critical thinking, and domain expertise

Effective Communication & Presentation Skills

Through interactive classes, students enhance both verbal and non-verbal communication, while also learning to present their ideas clearly, confidently, and effectively.

Aptitude & Logical Reasoning Training

Enhances students' problem-solving, analytical thinking, and numerical ability-preparing them for competitive exams and placement tests.

Step by step guidance

Help students structure professional, impactful resumes

Industry networking

* Partner with top companies for hiring pipelines
* Conduct webinars and sessions with recruiters

Placement coordination

* Connect candidates to aligned opportunities
* Organize hiring events and recruitment drives

Stress Management Techniques

Equip students to handle high-pressure interview situations

Scenario-Based Training

Prepare students for various interview formats, including case studies, coding rounds, and group discussions

Individual Sessions

* Address specific weaknesses and barriers to success.
* Develop personalized improvement plans

Our mission revolves around our learners

Promising 100% #CareerSuccess!

Download Placement Report

Empowering Learners Through Strong Alliances

At Grras Solutions, we collaborate with 45+ academic institutions and industry leaders to ensure our programs align with real-world demands. By integrating professional training, certifications, and hands-on experiences, we empower students to excel in today’s competitive job market.

45+

Partners

1000+ Students

Impacted Annually
Visuals of collaborations (trainings, hackathons, certifications)

600+ Hiring Partners Across Industries

Our extensive network of hiring partners spans various industries, offering diverse opportunities to kickstart your career.

Our Proven Track Record Shows that we Walk the Talk

Benefits of Interning with Us

Emphasize the advantages of joining the internship.

EXPERTISE YOU CAN COUNT ON

With 17+ years of exercise in the turning and EdTech industry, we have successfully trained thousands of students

CAREER-FOCUED PROGRAMS

Develop job-ready technical skills fand gain the confidence required to step into professional world

TRANING & CERIFICATION

Receive official, digitally verifiable traning certificates and internship letters with lifetime validit.y

EXPART SESSIONS

Attend special session by certified industry experts from leading companies for insights into real-world practices.

RESUME & PROFILE BULIDING

Our HR team helps create professional resume and optimize profile on LinkedIn, Naukri and Github

STARTUP OPPORTUNITIES

Explore Startup Culture, innovation and product development. Get guidance to build your own ideas.

AI-INTEGRATED PROGRAMS

Learn how AI tools and concepts are applied across domains, ensuring you stay relevant and highly competitive.

1:1 STUDENT ATTENTIONS

Personalized attention and mentoring allow students to clarify doubt and learn more effectively

CERTIFIED INDUSTRY EXPERTS

Training sessions are conducted by certified professionals who bring real-world knowledge.

HANDS-ON LEARNING

Focus on practical learning through real-life scenarios create, cases studios and live projects.

STRATEGIC PARTNERSHIP

Collaborations with 80+ leading it companies provide students with better internship exposure.

LIFETIME LEARNING COMMUNITY

Become part of the GRRAS ecosystem to access continuous guidance and professional networking.

Grras vs Other Internships

See why we are the preferred choice for aspiring professionals.

Features Video Courses Bootcamps Grras
Practical, Real-World Experience
Project-Based Learning
Live, Expert-Led Sessions
Professional Portfolio Development
Industry Partnerships / Externship
Career Coaching
Direct Job Referrals

Take the next step in your career! Connect with our counsellors by filling out this form.

Highly Recommended Internship

Gain hands-on experience with industry-focused internships. Work on real projects, learn from experts, and build job-ready skills for your IT career.

Frequently Asked Questions

Both live online and offline classroom sessions are available.

Yes, the course offers flexible schedules suitable for students, professionals, and career switchers.

All sessions are recorded, and backup classes and materials are accessible anytime.

Yes, you’ll get guidance from experienced instructors with real-world Data Science and AI experience.

Yes, all course notes, project codes, and learning resources remain accessible even after course completion.

Projects include predictive analytics models, AI chatbots, customer churn prediction, sales forecasting, marketing analysis, and sentiment analysis on social media.

Yes, all projects simulate real-world business and analytics scenarios to prepare you for actual job roles.

Yes, projects can be shared on GitHub, LinkedIn, or in interviews to impress recruiters.

Yes, you’ll learn end-to-end Data Science skills: data collection, cleaning, modeling, visualization, and AI deployment.

Yes, you’ll work on projects for finance, marketing, e-commerce, customer analytics, and social media insights.

Python, R, SQL, TensorFlow, Power BI, Tableau, and other key Machine Learning and AI libraries.

Yes, you’ll cover Python and R programming, statistical analysis, data visualization, machine learning, and AI deployment.

Yes, you’ll learn regression, classification, clustering, predictive modeling, and AI-powered solutions.

Yes, projects include predictive analytics models, AI chatbots, dashboards, and sentiment analysis using Python NLP libraries.

Yes, you’ll create interactive dashboards using Power BI and Tableau for real-world business insights.

A Data Science and Machine Learning course teaches you how to analyze data, build predictive models, and create intelligent systems using tools like Python, statistics, and AI algorithms. At Grras Solutions, the course also includes hands-on projects, real-world datasets, and industry tools like Pandas, NumPy, and Scikit-learn to make you job-ready.

This course is ideal for students, graduates (BCA, MCA, BTech), working professionals, and beginners who want to build a career in data science, AI, or analytics. Grras Solutions designs its internship program to suit both beginners and experienced learners with step-by-step training.

You will learn:

  1. Python programming
  2. Data analysis & visualization
  3. Machine learning algorithms
  4. Statistics & data preprocessing
  5. Deep learning & Generative AI basics

At Grras Solutions, the focus is on practical learning with real-world projects and datasets.

Yes, Data Science and Machine Learning are among the fastest-growing career fields globally due to increasing demand for data-driven decision-making and AI solutions. Courses offered by Grras Solutions help learners gain job-ready skills aligned with industry needs.

The internship includes:

  1. Hands-on training in Python & ML
  2. Real-world projects
  3. Data preprocessing & model building
  4. Exposure to AI & Generative AI
  5. Internship certificate

No, beginners can start without prior coding knowledge. At Grras Solutions, the course starts with Python basics and gradually moves to advanced machine learning concepts.

Common tools include:

  1. Python
  2. Pandas & NumPy
  3. Scikit-learn
  4. Jupyter Notebook
  5. Power BI

Grras Solutions covers all these tools with hands-on practice during the internship program.

Yes, after completing the internship, you receive an industry-recognized certificate from Grras Solutions that validates your skills and project experience, helping improve your resume and job opportunities.

Projects may include:

  1. AI Chatbots
  2. Recommendation systems
  3. Data analysis dashboards
  4. Predictive modeling

Grras Solutions provides real-world project experience to help students build a strong portfolio

The duration can vary from short-term internships (15–60 days) to longer programs (3–6 months). Grras Solutions offers flexible internship durations based on learning goals.

After completing a Data Science and Machine Learning course, you can apply for roles like:

  1. Data Scientist
  2. Machine Learning Engineer
  3. Data Analyst
  4. AI Engineer

Grras Solutions prepares students with industry-relevant skills to enter these roles.

 

Grras Solutions stands out because of:

  1. Practical, project-based learning
  2. Industry-expert trainers
  3. Internship opportunities
  4. Strong student community
  5. Job-oriented training approach

Yes, internships provide real-world experience, improve your resume, and increase job chances. Grras Solutions internship programs focus on practical exposure and industry projects.

Data Science focuses on analyzing and interpreting data

Machine Learning focuses on building models that learn from data

Courses at Grras Solutions combine both for complete career preparation.

To start:

  1. Learn Python
  2. Understand statistics
  3. Practice data analysis
  4. Work on real projects
  5. Join an internship

Grras Solutions offers a structured path with training + internship to help beginners enter the field quickly.

Both live online and offline classroom sessions are available.

Yes, the course offers flexible schedules suitable for students, professionals, and career switchers.

All sessions are recorded, and backup classes and materials are accessible anytime.

Yes, you’ll get guidance from experienced instructors with real-world Data Science and AI experience.

Yes, all course notes, project codes, and learning resources remain accessible even after course completion.

Projects include predictive analytics models, AI chatbots, customer churn prediction, sales forecasting, marketing analysis, and sentiment analysis on social media.

Yes, all projects simulate real-world business and analytics scenarios to prepare you for actual job roles.

Yes, projects can be shared on GitHub, LinkedIn, or in interviews to impress recruiters.

Yes, you’ll learn end-to-end Data Science skills: data collection, cleaning, modeling, visualization, and AI deployment.

Yes, you’ll work on projects for finance, marketing, e-commerce, customer analytics, and social media insights.

Python, R, SQL, TensorFlow, Power BI, Tableau, and other key Machine Learning and AI libraries.

Yes, you’ll cover Python and R programming, statistical analysis, data visualization, machine learning, and AI deployment.

Yes, you’ll learn regression, classification, clustering, predictive modeling, and AI-powered solutions.

Yes, projects include predictive analytics models, AI chatbots, dashboards, and sentiment analysis using Python NLP libraries.

Yes, you’ll create interactive dashboards using Power BI and Tableau for real-world business insights.

A Data Science and Machine Learning course teaches you how to analyze data, build predictive models, and create intelligent systems using tools like Python, statistics, and AI algorithms. At Grras Solutions, the course also includes hands-on projects, real-world datasets, and industry tools like Pandas, NumPy, and Scikit-learn to make you job-ready.

This course is ideal for students, graduates (BCA, MCA, BTech), working professionals, and beginners who want to build a career in data science, AI, or analytics. Grras Solutions designs its internship program to suit both beginners and experienced learners with step-by-step training.

You will learn:

  1. Python programming
  2. Data analysis & visualization
  3. Machine learning algorithms
  4. Statistics & data preprocessing
  5. Deep learning & Generative AI basics

At Grras Solutions, the focus is on practical learning with real-world projects and datasets.

Yes, Data Science and Machine Learning are among the fastest-growing career fields globally due to increasing demand for data-driven decision-making and AI solutions. Courses offered by Grras Solutions help learners gain job-ready skills aligned with industry needs.

The internship includes:

  1. Hands-on training in Python & ML
  2. Real-world projects
  3. Data preprocessing & model building
  4. Exposure to AI & Generative AI
  5. Internship certificate

No, beginners can start without prior coding knowledge. At Grras Solutions, the course starts with Python basics and gradually moves to advanced machine learning concepts.

Common tools include:

  1. Python
  2. Pandas & NumPy
  3. Scikit-learn
  4. Jupyter Notebook
  5. Power BI

Grras Solutions covers all these tools with hands-on practice during the internship program.

Yes, after completing the internship, you receive an industry-recognized certificate from Grras Solutions that validates your skills and project experience, helping improve your resume and job opportunities.

Projects may include:

  1. AI Chatbots
  2. Recommendation systems
  3. Data analysis dashboards
  4. Predictive modeling

Grras Solutions provides real-world project experience to help students build a strong portfolio

The duration can vary from short-term internships (15–60 days) to longer programs (3–6 months). Grras Solutions offers flexible internship durations based on learning goals.

After completing a Data Science and Machine Learning course, you can apply for roles like:

  1. Data Scientist
  2. Machine Learning Engineer
  3. Data Analyst
  4. AI Engineer

Grras Solutions prepares students with industry-relevant skills to enter these roles.

 

Grras Solutions stands out because of:

  1. Practical, project-based learning
  2. Industry-expert trainers
  3. Internship opportunities
  4. Strong student community
  5. Job-oriented training approach

Yes, internships provide real-world experience, improve your resume, and increase job chances. Grras Solutions internship programs focus on practical exposure and industry projects.

Data Science focuses on analyzing and interpreting data

Machine Learning focuses on building models that learn from data

Courses at Grras Solutions combine both for complete career preparation.

To start:

  1. Learn Python
  2. Understand statistics
  3. Practice data analysis
  4. Work on real projects
  5. Join an internship

Grras Solutions offers a structured path with training + internship to help beginners enter the field quickly.

Need Help? Talk to us at +91-8448-448523 or WhatsApp us at +91-9001-991813 or REQUEST CALLBACK
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