• 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 focuses on building strong fundamentals in Python programming, data analysis, machine learning, and deep learning while introducing students to the latest advancements in Generative AI and Large Language Models (LLMs). Through hands-on training, practical assignments, and real-world projects, students will learn how to work with datasets, build predictive models, and develop intelligent solutions using industry tools and technologies. This internship helps learners gain valuable practical experience and build the skills required for careers in Data Science, Artificial Intelligence, and Machine Learning.

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Internship Student
10K+
Successfully Trained

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 and R programming, advanced data structures, statistics, and machine learning algorithms. Learn industry-standard tools including NumPy, Pandas, Scikit-learn, and cloud platforms.

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15K+ Classes Completed
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97% Satisfaction Rate
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102K+ Students Community

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.

Apply for Intermship

Course Structure Overview

This internship program is designed to provide students with practical exposure to Data Science, Machine Learning, and Generative AI technologies. The curriculum focuses on building a strong foundation in Python programming, data analysis, and modern AI techniques used in real-world applications.

Students will learn how to work with datasets, perform data preprocessing, build machine learning models, and understand the fundamentals of deep learning and Generative AI. The program emphasizes hands-on learning, real-world projects, and industry-oriented training to help students develop practical skills and prepare for careers in data-driven technologies.

Detailed Curriculum

Module 1: 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 2: 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 3: Data Collection

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

Module 4: 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 5: Math’s and Statistics

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

Module 6: 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 7: 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 8: Introduction to ML Fundamentals

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

Module 9: 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.

Get ahead in your career by learning Top AI Tools Title

  • ChatGPT & Gemini to explore datasets, analyse data, generate code, and develop models
  • Debugcode.ai to solve any coding problem within seconds

Essential Data Science Tools Covered in This Course

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!

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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.

Industry-relevant skills

Gain cutting-edge skills aligned with current market demands, making you industry-ready.

Practical experience

Build an impressive resume/portfolio with hands-on projects and professional-grade outputs.

Real-time problem-solving exposure

Tackle real-world challenges, enhancing critical thinking and technical expertise.

Career opportunities via Grras

Unlock placement opportunities through Grras' extensive professional network and connections.

Resume writing & tech events

Participate in industry-specific competitions and events to expand knowledge and showcase talent.

Mentorship from experts

Learn directly from seasoned professionals, receiving guidance and feedback to boost your career trajectory.

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

Have doubts about Full Stack Placement Course? Reach out to our counsellors by filling this form.

Highly Recommended Internship

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