Data Science, Machine Learning & GenAI Training in Delhi

Transform your career with our comprehensive Data Science, Machine Learning & Generative AI program at GRRAS in Delhi. This hands-on, project-based course covers Python, advanced ML algorithms, Deep Learning, NLP, and Generative AI with RAG. Learn data preprocessing, model training, hyperparameter tuning, and deployment through real-world projects designed for industry-ready roles in Delhi-NCR and beyond.

150k+ Placemenets to Date
600+ Hiring Partners
76 Lakhs Highest Annual

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Next Batch starts in January

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Flexible Learning Modes to Fit Your Schedule

Interactive Classroom Sessions
Live Virtual Instructor-Led Classes
Self-Guided Online Modules
Corporate Onsite Training

Build an Impressive Portfolio

Expand Your Career Opportunities

Stay Ahead with Industry Trends

Master Cutting-Edge Development Tools

High-Growth Data Science Careers in Delhi

Leading tech giants, product companies, and innovative startups actively hire Data Scientists and Machine Learning Engineers with strong Python, ML, and Generative AI skills. This program prepares learners in Delhi-NCR for high-demand roles across global and Indian technology organizations.

Designation

Annual Salary

Hiring Companies

₹8–15 LPA (Entry-Level), ₹15–25 LPA (Mid-Level), ₹30+ LPA (Senior-Level)

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

₹6–15 LPA (Entry-Level), ₹15–25 LPA (Mid-Level), ₹25–40+ LPA (Senior-Level)

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

₹6–12 LPA (Entry-Level), ₹12–25 LPA (Mid-Level), ₹25+ LPA (Senior-Level)

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

₹8–20 LPA (Entry-Level), ₹20–35 LPA (Mid-Level), ₹35+ LPA (Senior-Level)

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

₹5–10 LPA (Entry-Level), ₹10–18 LPA (Mid-Level), ₹18+ LPA (Senior-Level)

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

₹8–18 LPA (Entry-Level), ₹20–35+ LPA (Mid-Level)

NLP Engineers work on language-based AI systems, such as chatbots, sentiment analysis tools, and speech-to-text systems, using Python and NLP libraries.

High-Growth Data Science Careers in Delhi

Annual Salary

₹8–15 LPA (Entry-Level), ₹15–25 LPA (Mid-Level), ₹30+ LPA (Senior-Level)

Hiring Companies

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

Annual Salary

₹6–15 LPA (Entry-Level), ₹15–25 LPA (Mid-Level), ₹25–40+ LPA (Senior-Level)

Hiring Companies

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

Annual Salary

₹6–12 LPA (Entry-Level), ₹12–25 LPA (Mid-Level), ₹25+ LPA (Senior-Level)

Hiring Companies

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

Annual Salary

₹8–20 LPA (Entry-Level), ₹20–35 LPA (Mid-Level), ₹35+ LPA (Senior-Level)

Hiring Companies

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

Annual Salary

₹5–10 LPA (Entry-Level), ₹10–18 LPA (Mid-Level), ₹18+ LPA (Senior-Level)

Hiring Companies

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

Annual Salary

₹8–18 LPA (Entry-Level), ₹20–35+ LPA (Mid-Level)

Hiring Companies

NLP Engineers work on language-based AI systems, such as chatbots, sentiment analysis tools, and speech-to-text systems, using Python and NLP libraries.

Course Snapshot

This comprehensive Data Science & AI program in Delhi covers the complete journey from databases and statistics to Machine Learning, Deep Learning, and Generative AI. Delivered through 8 structured modules and 400+ hours of hands-on training, the course focuses on real-world projects and industry use cases to build job-ready data scientists aligned with modern business and AI demands.

Course Details & Training Structure

Program Duration: 6–8 months intensive Data Science & AI training
Learning Mode: Live online classes with in-person sessions in Delhi and recorded access
Class Schedule: Weekday evening and weekend batch options
Mentorship & Support: 24/7 doubt resolution with dedicated mentor guidance
Assessment Method: Weekly assignments and real-world capstone projects

Batch Options

Weekday Evening Batch: Monday–Friday (7:00 PM – 9:00 PM)
Weekend Batch: Saturday–Sunday (10:00 AM – 5:00 PM)
Self-Paced Online Program with live mentor sessions

Who Should Enroll in This Program

Fresh graduates from Delhi colleges seeking careers in Data Science, Machine Learning, and AI
Working professionals in Delhi-NCR planning a transition into ML- and AI-driven roles
Software developers aiming to upskill in data science, analytics, and artificial intelligence
Business analysts and professionals strengthening data-driven and technical decision-making skills
Students pursuing computer science or related disciplines preparing for future AI-focused careers
Entrepreneurs and startup founders building AI-powered products and intelligent platforms

Course Outcomes – Skills You’ll Master

Database Management: Work with SQL, NoSQL databases, and Python-based data connectivity
Statistical Analysis: Apply descriptive and inferential statistics to derive meaningful insights
Machine Learning: Build, evaluate, and deploy supervised and unsupervised ML models
Deep Learning: Implement neural networks, CNNs, and RNNs using TensorFlow and modern frameworks
Natural Language Processing: Develop text analytics, sentiment analysis, and language-based AI solutions
Generative AI: Create RAG-powered chatbots and intelligent AI assistants
Cloud Deployment: Deploy ML and AI models on AWS, Azure, and GCP for real-world use cases

Enroll in the Data Science & AI course in Delhi to master cutting-edge analytics, machine learning, and Generative AI skills.
Build real-world projects, gain industry exposure, and launch a high-growth AI-driven career.

Data Science Course Curriculum in Delhi

Our industry-aligned curriculum in Delhi spans 8 comprehensive modules, covering everything from database fundamentals to advanced Generative AI and RAG systems. Each module blends strong theoretical foundations with practical implementation to build real industry skills.

Data Science & Machine Learning with GenAI in Delhi

Understanding Database & Connectivity

Introduction to Databases
Types of Databases (SQL and NoSQL)
Basics of SQL Databases
- Types of Keys
- Constraints
- Schema Design
CRUD Operations
- Create
- Read
- Update
- Delete
Types of JOINS
- Inner Join
- Left Join
- Right Join
- Outer Join
Aggregate Functions
- MIN
- MAX
- SUM
- COUNT
- AVG
Advanced SQL
- Triggers
- Stored Procedures
- Control Statements Implementation
- WITH Clause (CTE)
SQL Databases
- MySQL
- PostgreSQL
- SQLite
NoSQL Database
- MongoDB
Python Database Connectivity
- SQLite Connectivity
- MySQL Connectivity
- Libraries Used
  - SQLAlchemy
  - PyMySQL

Statistics & Mathematics

Descriptive Statistics
- Measures of Central Tendency
  - Mean
  - Median
  - Mode
- Measures of Spread
  - Deviation
  - Standard Deviation
  - Variance
- Frequency Distribution
- Quartile Deviation
- Data Distribution Visualization
  - Normal Distribution
  - Skewed Distribution
  - Kurtosis
Inferential Statistics
- Hypothesis Testing
  - p-value
  - Confidence Intervals
  - Chi-Square Test
- Probability Theory
  - Bayes’ Theorem
  - Probability Distributions
Linear Algebra for Machine Learning
- Matrices and Vectors
  - Transpose
  - Inverse
  - Determinants
- Eigenvalues and Eigenvectors
  - Application in PCA and Dimensionality Reduction

Data Science (Data Engineering, Analysis & Visualization)

Data Engineering & Preprocessing
- Data Extraction
  - APIs
    - Understanding API concepts
    - HTTP protocols and API methods (GET, POST, PUT, DELETE)
    - Working with APIs such as Google API, Weather API, Stock Market APIs
  - Databases
  - Web Scraping
  - Cloud Data Sources
  - Online Resources
    - Kaggle
    - Google Dataset Search
- Data Cleaning & Transformation (using Pandas and NumPy)
  - Handling Outliers
  - Data Skewness Treatment
  - Handling Missing, None, or Empty Values
  - Data Transformation Techniques
Exploratory Data Analysis (EDA)
- Data Analysis using Pandas
  - Working with 1D and 2D Data
  - Aggregate Functions
  - Data Filtering Techniques
  - Indexing and Slicing in DataFrames
  - Merging and Joining Multiple Datasets
  - GroupBy Operations
  - Sorting Data by Index and Values
  - Applying Multiple Mathematical Operations
- Feature Engineering
  - Converting Text Data to Numerical Format
    - One-Hot Encoding
    - Label Encoding
  - Data Scaling Techniques
Data Visualization
- Data Visualization Libraries
  - Pandas
  - Matplotlib
  - Seaborn
  - Plotly
- Building Live Graphs using Real-Time Data Animation
- Creating Interactive Dashboards using Streamlit

Machine Learning

Introduction to Machine Learning
- What is an Algorithm?
- Core Machine Learning Concepts
- Difference between Traditional Programming and Machine Learning
- Types of Machine Learning Algorithms
- Online Learning vs Offline Learning
- Understanding Training and Testing Data
Supervised Learning
- Regression Models
  - Simple Linear Regression
  - Multiple Linear Regression
  - Polynomial Regression
- Classification Models
  - Decision Trees
  - Random Forest
  - Support Vector Machine (SVM)
  - Naïve Bayes
  - K-Nearest Neighbors (KNN)
  - Logistic Regression
- Model Evaluation Metrics
  - Confusion Matrix
  - ROC–AUC Curve
  - Precision
  - Recall
  - F1 Score
  - Classification Report
  - Accuracy Score
  - R² Score
Unsupervised Learning
- Clustering Algorithms
  - K-Means Clustering
  - Hierarchical Clustering
- Dimensionality Reduction Techniques
  - Principal Component Analysis (PCA)
  - Linear Discriminant Analysis (LDA)
  - Autoencoders
Model Optimization & Deployment
- Hyperparameter Tuning
  - Grid Search
  - K-Fold Cross Validation
- Model Deployment
  - Flask
  - Pickle
  - Joblib
- Gradient Descent Algorithm

Natural Language Processing (NLP)

Text Preprocessing & Feature Engineering
- NLP Techniques using NLTK
  - Tokenization
  - Stemming
  - Lemmatization
- Word Embedding Concepts
  - One-Hot Encoding
  - TF-IDF (Term Frequency–Inverse Document Frequency)
  - Word2Vec

Mini Project

Sentiment Analysis
Document Classification
Named Entity Recognition (NER)

Deep Learning & Neural Networks

Neural Network Fundamentals
- Stochastic Gradient Descent (SGD) Algorithm
- Activation Functions
  - ReLU
  - Sigmoid
  - Softmax
- Backpropagation Algorithm
- Neurons
- Weights
- Bias and Variance
- Hidden Layers
Building & Training Neural Networks
- Building and Training Models using TensorFlow and Keras
- Loss Functions
- Optimization Techniques
Convolutional Neural Networks (CNNs)
- Creating CNN Models with Multiple Layers
- Image Classification Models
- Transfer Learning Concepts
  - ResNet
  - VGG
  - MobileNet
Recurrent Neural Networks (RNNs) & Transformers
- Embedding Concepts
- Building RNN Models with Multiple Layers
- Transformer Architecture
  - Encoders
  - Decoders
- BERT and GPT for NLP Applications

Generative AI (Including Retrieval-Augmented Generation – RAG)

Introduction to Generative AI
- Importance of Generative AI
- Architecture of Generative AI Systems
- Encoder-Based Concepts
  - Generative Adversarial Networks (GANs)
  - Variational Autoencoders (VAEs)
- Understanding Large Language Models (LLMs) and Their Working
- Implementing Various LLMs using Open-Source APIs
Fine-Tuning Large Language Models
- Adapting GPT and BERT for Custom Applications
- Fine-Tuning Models using Hugging Face
Retrieval-Augmented Generation (RAG)
- Enhancing LLMs with Real-Time Data Retrieval
- Document Chunking and Text Splitting Techniques
- Embedding Generation
- Vector Databases and Vector Search
  - FAISS
  - Pinecone
  - ChromaDB

Mini Project

Real-World AI Chatbots and Applications

Cloud Computing

Introduction to Cloud Computing
- What is Cloud Computing and Its Benefits
- Cloud Service Models
  - Infrastructure as a Service (IaaS)
  - Platform as a Service (PaaS)
  - Software as a Service (SaaS)
Popular Cloud Platforms
- Overview of Major Cloud Platforms
  - Amazon Web Services (AWS)
  - Microsoft Azure
  - Google Cloud Platform (GCP)
- ML and Data Services Offered by Each Platform
Storage and Compute Services
- Object Storage Services
  - Amazon S3
  - Azure Blob Storage
- Virtual Machines and Scalable Compute Engines
Cloud Databases
- SQL Databases
- NoSQL Databases
Machine Learning Services
- Cloud ML Platforms
  - Azure ML Studio
  - AWS SageMaker
  - Google Vertex AI
- Drag-and-Drop ML Workspaces to
  - Build Models
  - Train Models
  - Optimize Performance
  - Deploy Models

Mini Project

Integrating Python Scripts and Prebuilt Modules
Model Versioning and Experiment Tracking
Model Performance Monitoring and Analysis
Support for Real-Time and Batch Inference

Hands-On Data Science Projects for Real-World Experience

Apply your learning through capstone projects that mirror real industry challenges. Build comprehensive analytical reports using real-world datasets and develop an intelligent RAG-powered chatbot showcasing end-to-end AI workflows. These projects cover data preprocessing, model building, evaluation, and deployment. Graduate with a strong portfolio built in Delhi-NCR, ready to impress startups, enterprises, and global tech companies.

Car Price Predictor: Informed Valuations for the Used Car Market

#01

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…

LoanPredictor: Intelligent Loan Approval Estimator

#02

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…

Wine Quality Predictor: AI-Powered Wine Assessment

#03

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…

IPL Score Predictor: Smart Cricket Score Estimation

#04

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…

Movie Magic: AI-Powered Movie Recommendation System

#05

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…

E-Commerce Customer Spending Predictor: Data-Driven Insights for Business Growth

#06

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…

Diabetes Prediction: AI-Powered Health Risk Assessment

#07

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,…

Arrhythmia Classification AI-Powered ECG-Based Heart Health Assessment

#08

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…

Data Science & Machine Learning with GenAI in Delhi Toolkit

Ai

Data Analytics

Data Modeling

Data Visualization

Data-Engineering

Machine Learning

Math Algorithm

MLOps

NumPy

Pandas

Pyspark

Python

Advance Your Career with Data Science Certification in Delhi

Earn a Data Science Certification in Delhi that confirms your practical knowledge of data analysis, machine learning, and data visualization. This certification demonstrates hands-on experience with widely used tools such as Python, SQL, Power BI, and Tableau, helping you build job-ready skills that align with real industry requirements.

Designed for both beginners and working professionals, the program proves your ability to analyze data, extract insights, and solve business problems using data-driven approaches. It strengthens your profile in Delhi’s competitive analytics and tech job market and prepares you for well-paid roles like Data Analyst, Data Scientist, Business Analyst, and Machine Learning Engineer across leading companies in India and globally.

20000+

Professionals Trained
20+

Countries & Counting
100+

Corporate Served

Our Proven Track Record Shows that we Walk the Talk

Saleha Ansari

Data Engineer

Jaipur

The overall training experience at Grras was excellent. I learned Python from basic to advanced levels, even without a technical background. The faculty explained every...

Divyansh Chaturvedi

Senior Graphic Designer

Jaipur

I’m a Graphics & UI/UX Designer and also skilled in Video Editing, and I completed my design course from Grras Solutions. The experience was really...

Gajendra Singh

Data Analyst

Jaipur

The technical training in Data Analytics provided by the institute was comprehensive and well-structured. The curriculum covered essential concepts such as data cleaning, analysis, and...

Aditi Naruka

Cloud ops Engineer

Jaipur

Aditi Naruka has successfully completed the 4-month Devops and Cloud Computing program and secured a placement.

Raghav Bahad

Data Analyst

Jaipur

Raghav Bahad has successfully completed the 4-month Data Analyst program and secured a placement.

Suhaib Illyas

Python developer

Jaipur

Suhaib Illyas has successfully completed the 3-month PYTHON program and secured a placement.

Gourav Khatri

Data Analyst

Jaipur

Gourav Khatri has successfully completed the 4-month Data Analyst program and secured a placement.

Shamrez Khan

MIS Executive

Jaipur

Shamrez Khan has successfully completed the 4-month Data Analyst program and secured a placement.

Arbaj Khan

Graphic Designer

Jaipur

Arbaj khan has successfully completed the 4-month Ui Ux design program and secured a placement.

Why Choose Grras Solutions?

The demand for skilled data science professionals is skyrocketing as industries leverage data to gain strategic insights and optimize operations. Frompredictive analytics to AI-powered solutions, data science is transforming business.

Industry-Aligned Curriculum

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.

Personalized Career Support

Receive one-on-one mentorship, resume reviews, mock interviews, and complete placement assistance through our 500+ hiring partners to accelerate your tech career.

Expert Mentorship

Learn directly from certified professionals with years of hands-on experience who guide you through every module, project, and career milestone personally.

Real-World Projects

Gain practical exposure by working on live, industry-grade projects that mirror real business challenges, strengthening your technical execution and problem-solving abilities.

Proven Track Record

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.

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.

Building Strong Foundation

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
Sharpening Interview Readiness

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
Communication & Aptitude Skill Development

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.
Resume building masterclasses

Step by step guidance

Help students structure professional, impactful resumes
Bridging the Gap

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
Advance interview boot camp

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
Personalized 1:1 guidance

Individual Sessions

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

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

600+ Hiring Partners Across Industries

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

Please read the following instructions carefully before you begin the test.

The test consists of a set number of multiple-choice questions.
Each question has four options, out of which only one option is correct.
You must complete the test within the allocated time limit.
You will be awarded 4 marks for each correct answer.
There is no negative marking for incorrect answers.
Ensure you have a stable internet connection before starting the test.
Once you begin, the timer will start automatically, and you cannot pause or restart the test.

Why Take This Test? (How It Helps You)

🏆 Boost Confidence: Regular testing helps you build accuracy, reduce exam fear, and strengthen conceptual understanding.
🕒 Time Management: Learn to solve questions effectively under real-time pressure.
📊 Performance Insight: Identify your strong and weak areas for focused improvement.
🎯 Exam-Like Experience: Experience a realistic test environment with structured scoring.
📚 Smart Preparation: Refine your study strategy using feedback and detailed analytics.

Join Our Exclusive Workshops!

Discover daily sessions covering business analytics, graphic design, Python, and more. Reserve your spot today!

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Frequently Asked Questions

Yes, you’ll learn directly from experienced AI professionals with 1-on-1 guidance.

Yes, live Q&A sessions, discussion forums, and mentor support are available.

Yes, join hackathons, webinars, and group discussions to grow your network.

Yes, course materials and updates remain accessible for continued learning.

Thousands of learners have successfully completed AI & Data Science programs with Grras Solutions.

You’ll get an industry-recognized AI & Data Science certification from Grras Solutions.

Yes, it’s globally recognized and strengthens your resume internationally.

You can become a Data Scientist, AI Engineer, ML Engineer, Generative AI Specialist, or NLP Engineer.

Yes, resume building, mock interviews, LinkedIn/GitHub optimization, and placement training.

Placement assistance is provided through our dedicated job portal & network, with a high success rate.

Projects like Generative AI Chatbot, Sentiment Dashboard, Anime Face Generator, and Business Reporting Tools.

Yes, all projects simulate real-world scenarios to strengthen your portfolio.

Yes, from data preprocessing to model deployment.

A decent system is enough; cloud-based solutions like AWS SageMaker are also used.

Yes, they are designed to be shared on GitHub and LinkedIn.

Both options are available – online live classes and offline sessions at Jaipur.

Yes, flexible timings are designed for students, working professionals, and career changers.

Yes, learners can choose formats as per their convenience.

Recorded sessions and backup classes are available.

Yes, sessions and assignments are structured for flexible, self-paced learning.

Primarily Python, along with libraries like NumPy, Pandas, and Matplotlib.

You’ll learn TensorFlow, PyTorch, Hugging Face, LangChain, and AWS SageMaker.

Yes, Natural Language Processing (NLP) with transformers, LLMs, and RAG is a key module.

Yes, including chatbots, GANs, and image-to-image conversion models.

Yes, you’ll deploy models using AWS SageMaker and similar tools.

This course covers Data Science, Machine Learning, Deep Learning, and Generative AI with practical industry projects.

Aspiring AI engineers, data analysts, Python developers, students, working professionals, entrepreneurs, and freelancers.

Basic Python helps, but it’s not compulsory. We teach fundamentals before moving to advanced AI.

It is a 180-hour program, designed for in-depth learning and project-based training.

It blends theory, real-world projects, expert mentorship, and placement support, making you industry-ready.