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Data Science with Generative AI Training

Join Learnomate Technologies’ Data Science with Generative AI Training and gain practical experience in modern Data Science techniques and AI-powered solutions. Learn from industry experts, work on live projects, complete an internship, and receive placement assistance to prepare for roles such as Data Scientist, AI Engineer, Machine Learning Engineer, and Generative AI Engineer. Whether you’re a beginner or a working professional, this comprehensive program helps you build in-demand skills with hands-on learning and certification support.
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Course Overview

Learnomate Technologies offers comprehensive Data Science with Generative AI Training designed to help students and professionals develop in-demand AI and data science skills. The course covers Python, SQL, Statistics, Machine Learning, Deep Learning, Power BI, ChatGPT, LangChain, RAG, LLMs, and real-world AI projects. Our practical learning approach makes it an ideal Data Science training program, providing hands-on experience with industry-standard tools, Generative AI technologies, and real-world data science workflows.

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Data Science,Data Science with Generative AI Training

Why Learn Data Science with Generative AI Training in 2026?

Data Science with Generative AI Training is one of the fastest-growing career programs in 2026 as organizations increasingly adopt AI-powered technologies for automation, predictive analytics, and intelligent decision-making. Learning Data Science helps professionals develop expertise in Python, SQL, Machine Learning, Deep Learning, Power BI, ChatGPT, Prompt Engineering, LangChain, and Large Language Models (LLMs). Enrolling in Data Science with Generative AI Training prepares you for high-demand careers in AI, Data Science, and advanced analytics across industries.

What Makes This Course Different?

This Data Science with Generative AI Training is designed with a practical, industry-focused approach to help students gain real-world AI and Data Science experience. Unlike traditional training programs, our course includes live instructor-led sessions, hands-on projects, case studies, internship opportunities, interview preparation, and expert mentorship. Students gain practical experience with Python, SQL, Machine Learning, Deep Learning, Power BI, ChatGPT, LangChain, RAG, AI Agents, and Vector Databases. The program equips learners with job-ready skills required for modern Data Science and Generative AI careers.

Who Should Join & Course Fees?

    • Students and fresh graduates who want to build a successful career in Data Science and Generative AI.
    • Working professionals looking to upgrade their skills through Data Science with Generative AI Training.
    • Software developers and IT professionals planning to transition into AI, Machine Learning, and Data Science.
    • Data Analysts and Business Intelligence professionals who want to enhance their AI and analytics expertise.
    • Professionals preparing for Data Science, Machine Learning, and Generative AI certification exams.
    • Anyone interested in learning Python, Machine Learning, Deep Learning, ChatGPT, and Generative AI technologies from scratch.

Data Science with Generative AI Training is ideal for recent graduates, working professionals, software developers, data analysts, business analysts, and career switchers looking to build expertise in AI and Data Science. Whether you’re from an IT or non-IT background, this course is designed to help you develop industry-ready skills.

Course Fees: Contact Learnomate Technologies for the latest batch fees, EMI options, and exclusive offers. Attend a FREE demo session before enrollment to experience our training methodology and interact with our expert trainers.

Syllabus

Introduction

  • SQL Commands : DDL, DML, DCL, TCL
  • Aggregate Function
  • Group By
  • Having Clause
  • Joins
  • Sub-queries
  • RANKING FUNCTION
  • Analytical function
  • Window function
  • Order by
  • Store procedure
  • View
  • Temprory table

Data Preparation & Visualization

  • Data Connections and Data Transformation
  • Importing data from various sources
  • Data cleaning and transformation
  • Data Visualization
  • Building interactive reports and dashboards
  • Using various visualization types (tables, charts, maps, etc.)
  • Customizing the appearance and formatting of visuals
  • DAX (Data Analysis Expressions)
  • Writing and understanding DAX formulas for calculated columns and measures
  • Aggregation functions (SUM, AVERAGE, COUNT, etc.) in DAX

Python

  • Introduction to Python and IDEs
  • Python Basics
  • Object Oriented Programming
  • Hands-on Sessions And Assignments for Practice

Linux

  • Introduction to Linux
  • Linux Basics
  • Hands-on Sessions And Assignments for Practice

Data Transformation Using SQL

  • SQL Basics
  • Advanced SQL
  • Deep Dive into User Defined Functions
  • SQL Optimization and Performance

Python Libraries For Data Science

  • Data Handling with NumPy
  • Data Manipulation Using Pandas
  • Data Preprocessing
  • Data Visualization

Inferential Analytics

  • Statistics and Descriptive Analytics using Python
  • Python for Descriptive, Diagnostic, and Inferential Statistics
  • Prescriptive Analytics

Statistics for Data Analytics

  • Measures of central tendency (mean, median, mode)
  • Measures of dispersion (range, variance, standard deviation)
  • Quartiles and percentiles
  • Probability theory
  • Probability distributions (normal, binomial, Poisson, etc.)
  • Random variables
  • Probability laws and rules
  • Bayes’ theorem

Introduction to Machine Learning

  • Introduction to Machine learning
  • Regression
  • Classification Clustering

Supervised Learning Models

  • Linear Regression
  • Logistic Regression
  • Decision Tree
  • Random Forest
  • Support Vector
  • Machine
  • K-Nearest Neighbors
  • Time Series Forecasting
  • Performance Metrics
  • Classification reports Confusion matrix

Unsupervised Learning Techniques

  • K-means
  • Dimensionality reduction
  • Linear Discriminant Analysis
  • Principal Component Analysis

Advanced Machine Learning Techniques

  • Bagging And Boosting Algorithms
  • Other Machine Learning Algorithms
  • Predictive Analytics And Machine Learning
  • Cognitive Science and Analytics

Artificial Intelligence & Deep Learning

  • Artificial Intelligence
  • Basics Neural
  • Networks Deep Learning

Text Analytics & NLP

  • Text Mining, Cleaning, and Pre-processing
  • Text classification, NLTK, sentiment analysis, etc
  • Sentence Structure, Sequence Tagging, Sequence Tasks, and Language Modeling
  • AI Chatbots and Recommendations Engine

Generative AI Models & Frameworks

  • Introduction to Large Language Models (LLMs)
  • Long Short-Term Memory (LSTM)
  • Transformer Architecture
  • Bidirectional Encoder Representations from Transformers (BERT)
  • Generative Pre-trained Transformer (GPT)
  • Large Language Models (LLMs)
  • Variational Autoencoders (VAEs)
  • LangChain Framework

Prompt Engineering & AI Applications

  • Fundamentals of Prompt Engineering
  • Prompt Design Best Practices
  • Image Generation Applications
  • Text Generation Applications
  • Audio Generation Applications
  • Code Generation with AI
  • Multimodal AI Applications
  • Real-World Generative AI Use Cases

RAG & Vector Database Integration

  • Understanding RAG and its importance in AI applications
  • Implementing RAG with vector databases (ChromaDB, Pinecone
  • Fine-tuning LLMs with retrieved knowledge)

Agentic AI - Core Concepts

  • Definition and importance of Agentic AI
  • How AI Agents work and interact with environments
  • Role of LLMs in autonomous decision-making
  • Overview of Autonomous AI Agents in business applications

Introduction to MLOps

  • Introduction to MLOps
  • Deploying Machine Learning Models

End-to-End Data Science Project ✅ (Recommended) Topics Covered:

  • Capstone Project Introduction
  • Data Collection
  • Data Preprocessing
  • Exploratory Data Analysis (EDA)
  • Model Development
  • Model Evaluation
  • Regression Metrics
  • Model Optimization
  • Dashboard Development
  • Model Deployment

Job Readiness & Interview Preparation

  • Resume Building for Data Science & AI Roles
  • LinkedIn Profile Optimization
  • GitHub Portfolio Development
  • Real-World Data Science Projects
  • End-to-End Generative AI Projects
  • Capstone Project Development
  • Mock Technical Interviews
  • Python & SQL Interview Preparation
  • Machine Learning Interview Questions
  • Generative AI & LLM Interview Preparation
  • Aptitude & HR Interview Training
  • Internship Assistance
  • Placement Assistance
  • Industry Mentorship
  • Certification Preparation
  • Career Guidance & Job Referral Support

Industry-Standard Tools & Technologies

  • Python Programming
  • SQL
  • Jupyter Notebook
  • NumPy
  • Pandas
  • Matplotlib
  • Seaborn
  • Scikit-learn
  • TensorFlow
  • Keras
  • Power BI
  • Microsoft Excel
  • Git & GitHub
  • ChatGPT
  • Prompt Engineering
  • LangChain
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Vector Databases (ChromaDB / FAISS / Pinecone)
  • Hugging Face
  • OpenAI API
  • AI Agents
  • Streamlit
  • Docker (Deployment Basics)

UPCOMING BATCHES OF DATA SCIENCE

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Ankush Thavali

15+ years of Experience in IT Industry

CEO & Founder of Learnomate Technologies

Data Science with Generative AI Training
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Training certificate of Data Science

Obtaining Your Certification

Your certificate and skills are vital to the extent of jump-starting your career and giving you a chance to compete in a global space.

Upon successful completion of any course at Learnomate Technologies, participants receive a certificate attesting to their proficiency in the respective subject matter. These certificates serve as tangible evidence of the skills acquired during the training, enhancing the credibility of individuals in the job market and validating their expertise to potential employers.

Get your Certification
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Our Placements

We don't give just assurances, we actually placed candidates

Shreya Bansal (Maruti Suzuki MIS, Analyst) - Learnomate

Shreya Bansal

Junior Data Scientist

Deloitte

Priya Choudhary (Simplify Healthcare, Docs Analyst – Trainee) - Learnomate

Priya Choudhary

Generative AI Engineer

Deloitte

Nikhil Reddy (Simplify Healthcare, Trainee Docs Analyst) - Learnomate

Nikhil Reddy

Prompt Engineer

Cognizant

Rashmita Maharani (Autoverse Mobility Catalogue, Function-Analyst Intern) - Learnomate

Rashmita Maharani

Prompt Engineer

Anthropic

Saloni Ramchandra (Aarete Trainee Associate, Associate) - Learnomate

Saloni Ramchandra

Data Scientist

Aarete Trainee Associate

Anish Behera (Innov Flipkart, Operation Executive) - Learnomate

Anish Behera

Generative AI Engineer

Innov Flipkart

Syed Rehzad Rehman (Reanln Pvt, Ltd Market Research Analsyt) - Learnomate

Syed Rehzad Rehman

AI/ML Engineer

Meta

Bablu Sharma (Innov Flipkart, Operation Executive) - Learnomate

Bablu Sharma

Machine Learning Engineer

NVIDIA

Pankaj Sharma (Aarete Technosoft Pvt Ltd, Intern- Claims Specialist) - Learnomate

Pankaj Sharma

Data Engineer

Aarete Technosoft Pvt Ltd

Faisal Khan (KIMS Hospitals, Data Analyst) - Learnomate

Faisal Khan

Business Intelligence Developer

KIMS Hospitals

Testimonials

Testimonials
Arya Tandale
1 year student
review

Excellent training has been given by Ankush sir. We learned many things in Learnomate Technologies and very much helpfull to my carrier growth. Thanks a lot.

Testimonials
Anjali Pingle
1 year student
review

The session was really good. Please teach us oracle database installation so that we can practice with you. Also request you to take a live project to understand real life scenarios

Testimonials
Amit Nandi
1 year student
review

Learnomate technology is the best platform to gain and explore knowledge about Oracle DBA. First i saw their video from YouTube and then i enrolled core dba training and after that i also enrolled rac.

Testimonials
Jogu Darani
1 year student
review

I recently completed course at learnomate tecnologies and I am thrilled with the experience. The institute offers a wide range of courses tailored to current industry demands.

Testimonials
Rahul Kamle
1 year student
review

Learnomate Technology is a best training institute, I recommend those who wants to start their career in IT industry for fresher as well as non technical people. Thank you Ankush sir for your support and guidance.

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Frequently Asked Questions

This entire course content and our trainer helps you to get expertise and clear the certification program easily

FAQ Illustration
  • You can join the live online sessions through the learning platform after enrolling in the course. You'll receive login credentials, a class schedule, study materials, and session links. If you miss a class, recorded sessions are also available for revision.
  • Yes. The course is designed for beginners as well as working professionals. It starts with Python, SQL, statistics, and data analysis fundamentals before progressing to machine learning, deep learning, and Generative AI concepts like ChatGPT, prompt engineering, and LLMs.
  • Yes. The training includes hands-on projects based on real business scenarios. You'll build machine learning models, create AI-powered applications, work with Generative AI tools, and gain practical experience through industry-oriented projects.
  • Yes. The course covers industry-relevant concepts and practical skills that support preparation for leading AI and Data Science certifications. It also includes hands-on labs, projects, and expert guidance to strengthen your technical knowledge and confidence.
  • Yes. Learnomate Technologies offers flexible weekday and weekend batches, making it convenient for working professionals to upskill without affecting their work schedule. Recorded sessions are also available for additional flexibility.
  • Learnomate Technologies provides live instructor-led training, experienced mentors, an industry-focused curriculum, hands-on projects, internship opportunities, certification support, and placement assistance. The course is designed to help students gain practical skills that match current industry requirements.
  • After completing the course, you can pursue roles such as Data Scientist, AI Engineer, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Generative AI Engineer, NLP Engineer, and Prompt Engineer. The combination of Data Science and Generative AI skills opens opportunities across industries including IT, healthcare, finance, e-commerce, and manufacturing.
  • Yes. Learnomate Technologies provides internship opportunities as part of the Data Science with Generative AI course to help students gain practical industry experience. During the internship, you will work on real-world projects involving Python, SQL, Machine Learning, Deep Learning, Power BI, ChatGPT, Prompt Engineering, and Generative AI tools. Upon successful completion, you will receive an internship certificate, along with placement assistance, resume-building support, and interview preparation to help you launch your career in Data Science and Generative AI.

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