Generative AI & Data Science Course in Telugu: Master the AI Revolution & Command Top-Tier Salaries

The Generative AI Course In Telugu takes you from fundamentals to building AI applications like ChatGPT. Master Machine Learning, Deep Learning, and NLP to unlock a high-paying career, regardless of your experience level.

Prerequisites: Python, Machine Learning, Data Libraries

Data Science With GEN AI Course in Telegu

100% Live

Training in Telugu

All Classes

Recordings

Free Addon Sessions icon from frontlines edutech website

11 Free

Addon Sessions

Real Time

Projects

What Actually is Generative AI & Data Science? ​

The modern tech industry does not want you to invent new math; they want you to apply it. Using powerful, pre-built Python libraries and Large Language Models (LLMs), the heavy computational lifting is already done for you. English is the new programming language. By mastering Prompt Engineering and AI Workflow Automation, your job is to use logic to feed data into these systems, train models, and predict future business outcomes.By mastering Applied Generative AI and Data Science, you bypass the crowded entry-level IT jobs and step straight into the highest-paying sector on the planet.

What Actually IS Data Science?

Data Science is the process of collecting, analyzing, interpreting massive amounts of data to solve complex business problems. A Data Scientist uses algorithms to predict what will happen nexthether that is predicting a stock market crash or diagnosing a disease.

What is Generative AI?

Generative AI is the revolutionary branch of AI that uses Large Language Models (LLMs) to create entirely new content—text, code, images, and automation workflows.

SOC & SIEM

Learn how security monitoring works Work with Windows security logs, Sysmon, Splunk, Wazuh, SIEM architecture, log collection, dashboards, alerts, threat hunting and incident handling.

Why Learn Data Science with GenAI in 2026?

Data Science, supercharged by Generative AI, is currently the most disruptive and high-paying domain in the tech landscape. It has evolved from simple data processing to building intelligent, autonomous systems. Here is why this is the career defining move for 2026:x

Strong Networking Foundation

Understand how systems communicate before learning how they are attacked and defended.

Offensive Security Skills

Learn reconnaissance, scanning, vulnerability assessment, web security and controlled penetration testing.

Defensive Security & SOC Skills

Learn how security teams collect logs, investigate alerts, analyze events and respond to incidents.

AI-Assisted Security Skills

Understand how AI can support security research, log analysis, threat intelligence, vulnerability analysis and SOC workflows.

Massive Industry Demand

Cyber attacks are scaling globally. IT companies, banks, SaaS platforms, and governments are aggressively hiring Security Analysts and Penetration Testers.

Logic-Over-Code" Advantage

This is an incredibly beginner-friendly career path for freshers and career switchers. We teach you how to use operating systems and tools to find vulnerabilities, not how to build complex algorithms from scratch.

High Demand in Startups & SaaS

Modern companies need scalable applications built fast. Django is the exact framework used by hyper-growth tech companies (like Instagram and Pinterest) to build their platforms.

Global Bug Bounty & Freelance Opportunities

Ethical hackers can earn massive bounties (often in USD) by legally finding bugs in platforms like Google, Facebook, and local startups right from their laptops.

Tools & Technologies You Will Learn

We take you from absolute beginner to deploying production-ready AI systems using the exact tech stack dominating the industry.

Python & Data Science

The undisputed foundation of AI. Master Python, Pandas, and data visualization to process and manipulate massive datasets effortlessly.

Machine Learning

Build regression and classification models to predict business trends. Step into advanced AI by building Neural Networks using TensorFlow.

Deep Learning

Deep learning is a specialized subset of machine learning that uses multi-layered artificial neural networks to solve complex problems

LangChain & LangGraph

Master the ultimate frameworks for building AI applications. Connect LLMs, manage memory, and build multi-step reasoning systems.

Autonomous AI Agents

Build intelligent systems that automate emails, research, and API interactions entirely on autopilot.

Master Prompt Engineering

Stop writing basic prompts. Learn context engineering, chain prompting, and role-based commands to get flawless outputs from LLMs.

Your Roadmap to Data science with Generative AI Mastery

  • Introduction, Roadmap
  • Program Execution – programmer’s view, Python’s view
  • Installation
  • Python
  • PyCharm, VS Code, Jupyter Notebook
  • Setup, configure Python in Laptop
  • Numeric types in Python
  • Python Variables, objects, References
  • Garbage Collection of objects
  • Strings, Lists, Dictionaries, Tuples, sets, Files
  • Assignments, Expressions and Prints
  • if-else, loops, comprehensions
  • map, zip, range, len, enumerate
  • Python Functions
  • Variable Scopes – LEGB rules
  • Function Arguments
  • Lambda functions
  • Generators and comprehensions
  • Python Modules
  • Import statement
  • Standard library modules
  • Module packages
  • Python Classes
  • Constructors and Instances
  • Method calls
  • Static and class methods
  • Inheritance
  • Polymorphism
  • Operator Overloading
  • Exception Basics
  • try/except/else
  • Custom Exceptions
  • Regular Expressions
  • match Function
  • search Function
  • Search and Replace
  • Meta characters
  • Introduction to NumPy
  • Creating arrays
  • Introduction to Pandas
  • Data cleaning with Pandas
  • Linear Algebra
  • Statistics
  • Probability
  • Differential Calculus
  • What is Machine Learning
  • Types of ML Systems
  • Supervised Learning
  • Unsupervised Learning
  • Challenges of Machine Learning
  • Overfitting vs underfitting
  • End to End ML Project
  • Binary Classifier
  • Confusion Matrix
  • Precision and Recall
  • Linear Regression
  • Gradient Descent
  • Polynomial Regression
  • Logistic Regression
  • Decision Trees
  • Training Decision Tree
  • Class Probabilities
  • CART Algorithm
  • Gini Impurity vs Entropy
  • Random Forests
  • Ensemble Learning
  • Voting Classifiers
  • Clustering
  • K-Means Algorithm
  • KMeans++
  • Artificial Neural Networks with Keras
  • Perceptron
  • Multilayer Perceptron
  • Regression MLPs
  • Classification MLPs
  • Training Deep Neural Networks
  • Vanishing/Exploding Gradients
  • Batch Normalization
  • Transfer Learning
  • Regularization
  • Dropout
  • MC Dropout
  • Introduction to Generative AI
  • Foundational, Open-Source, Closed-Source LLMs
  • OpenAI LLM Model Setup
  • Google Gemini LLM
  • Hugging Face Models
  • LangChain Framework
  • Key Components
  • Modules in LangChain
  • Customer Service Apps
  • Sentiment Analysis
  • Text classification
  • Document summarization
  • Output parsers
  • Tokens & Cost Monitoring
  • Streamlit Apps
  • Why RAG
  • RAG pipeline architecture
  • Document Loaders
  • Embeddings
  • Vector Databases
  • Retrievers in Langchain
  • Building Chatbot App
  • Prompt Engineering
  • Zero shot, One shot, Few Shot prompting
  • Chain of Thought
  • Tree of Thought
  • Verifying Output, Controlling Output

Real Projects Where You'll Build on This Course

AI-Powered Profile Onboarder

A Django-based Gen AI app that automates resume parsing, profile scoring, onboarding, and job applications using LLMs. 🛠 Tools Used: Django, DRF, MySQL, Bootstrap/Tailwind, Celery, Redis, OpenAI, LLaMA, PyMuPDF, Regex

Tools Used:

🛠 Tools Used: Django, DRF, MySQL, Bootstrap/Tailwind, Celery, Redis, OpenAI, LLaMA, PyMuPDF, Regex

01

AI-Driven Bank Statement Analyze

Automates bank statement analysis using OCR and LLMs to classify transactions, detect fraud, and generate financial insights.

Tools Used:

🛠 Tools Used: Python, OCR, OpenAI/LLMs, Pandas, NumPy, Machine Learning

02

Employee Onboarding Application

Develop a complete onboarding solution using Service Catalog, Order Guide, Record Producer, and Flow Designer.

🛠 Tools Used: Service Catalog • Order Guide • Record Producer • Flow Designer

HRSD Dongle Request Management

Automate the request, approval, issuance, and tracking of USB dongles using ServiceNow HR Service Delivery.

🛠 Tools Used: HRSD • Service Catalog • Flow Designer • Approval Workflows

Employee Laptop Request & Approval Process

Automate laptop request, approval, allocation, issuance, and employee acknowledgment through ServiceNow workflows

🛠 Tools Used: Employee Service Center (ESC) • Service Catalog • Approval Workflow • Flow Designer

Business Fiber Internet

Build an end-to-end OMT solution to capture, validate, fulfill, and complete business fiber internet orders.

🛠 Tools Used: ServiceNow OMT • Order Management • Service Orders • Resource Orders • Flow Designer

Analysis of Capitals and Universities Data

Analyzes CSV datasets to identify geographical, educational, and ranking trends across countries and universities.

Tools Used:

🛠 Tools Used: Python, Pandas, CSV Handling, Data Analysis

01

Online Shopping System

Builds a shopping cart system using Python OOP with GST calculation, invoice generation, and order summaries.

Tools Used:

🛠 Tools Used: Python, OOP Concepts

02

Analytic American Association

A law firm management system for handling clients, lawyers, billing, invoices, and workflow automation.

Tools Used:

🛠 Tools Used: Python, OOP Concepts, File Handlin

03

Sales Data Insights

Performs sales analysis to identify trends, customer behavior, and forecasting insights using data libraries.

Tools Used:

🛠 Tools Used: Python, Pandas, NumPy, Data Visualization

01

Application Creation and Update Sets

 Build a custom ServiceNow application, configure forms and layouts, and migrate changes across instances using Update Sets.

🛠 Tools Used: ServiceNow Studio • Forms • Update Sets • Tables

Onboarding Service Catalog

Create an employee onboarding catalog with service requests for laptops, mice, and other organizational resources

🛠 Tools Used: Incident Management • Forms • UI Policies • Business Rules

Incident Management

Configure the Incident Management lifecycle with forms, field conditions, and workflow customization

🛠 Tools Used: Incident Management • Forms • UI Policies • Business Rules

Change Management

Implement the Change Management lifecycle with customized forms and approval workflows.

🛠 Tools Used: Change Management • Forms • Workflows • UI Policies

Problem Management

Build the Problem Management lifecycle with field configurations and process customizations.

🛠 Tools Used: Problem Management • Forms • Business Rules • UI Policies

Transform Map

 Import bulk Excel data into ServiceNow using Transform Maps while preventing duplicate records.

🛠 Tools Used: Import Sets • Transform Maps • Excel • Data Load

The ROI of Analytics Mastery: Industry Salaries in India

We take you from absolute beginner to deploying production-ready AI systems using the exact tech stack dominating the industry.

Fresher Data Science - ai Salaries

Job Role

Experience

Average Salary

Prompt Engineer

Fresher

₹5 – ₹8 LPA

Generative AI Developer

Fresher

₹3 – ₹6 LPA

ML Engineer

Fresher

₹3.5 – ₹15 LPA

AI Engineer / Architect

Fresher

₹2.5 – ₹4 LPA

Deep Learning Specialist

Fresher

₹5 – ₹8 LPA

Experienced ai Salaries

Job Role

Experience

Average Salary

Prompt Engineer

3–5 Years

₹9 – ₹25 LPA

Generative AI Developer

3–5 Years

₹10 – ₹18 LPA

ML Engineer

4–6 Years

₹15 – ₹30 LPA

AI Engineer / Architect

5–8 Years

₹12 – ₹25 LPA

Deep Learning Specialist

4-6 Years

₹15 – ₹28 LPA

Your Next Employer is Waiting​

What Makes This Data Science AI Course Different

👉 Module Wise Quizzes, Assignments, and Practice Questions

👉 100% Placement assistance

👉 Industry professionals with 10+ years of experience

👉 Live Chat support assistance

👉 Access to session recordings for 2 years

👉 EMI Option also available with specified cards

👉 Get ₹10,000 Worth of Free Career Booster Add-On Sessions

👉 Dedicated Job Updates

👉 100% Live Training in Telugu

👉 Industry Ready Training

👉 Interview Questions & Study Materials

👉 Resume & Linked In Preparation

Your Roadmap to Data science with Generative AI Mastery

  • Introduction, Roadmap
  • Program Execution – programmer’s view, Python’s view
  • Installation
  • Python
  • PyCharm, VS Code, Jupyter Notebook
  • Setup, configure Python in Laptop
  • Numeric types in Python
  • Python Variables, objects, References
  • Garbage Collection of objects
  • Strings, Lists, Dictionaries, Tuples, sets, Files
  • Assignments, Expressions and Prints
  • if-else, loops, comprehensions
  • map, zip, range, len, enumerate
  • Python Functions
  • Variable Scopes – LEGB rules
  • Function Arguments
  • Lambda functions
  • Generators and comprehensions
  • Python Modules
  • Import statement
  • Standard library modules
  • Module packages
  • Python Classes
  • Constructors and Instances
  • Method calls
  • Static and class methods
  • Inheritance
  • Polymorphism
  • Operator Overloading
  • Exception Basics
  • try/except/else
  • Custom Exceptions
  • Regular Expressions
  • match Function
  • search Function
  • Search and Replace
  • Meta characters
  • Introduction to NumPy
  • Creating arrays
  • Introduction to Pandas
  • Data cleaning with Pandas
  • Linear Algebra
  • Statistics
  • Probability
  • Differential Calculus
  • What is Machine Learning
  • Types of ML Systems
  • Supervised Learning
  • Unsupervised Learning
  • Challenges of Machine Learning
  • Overfitting vs underfitting
  • End to End ML Project
  • Binary Classifier
  • Confusion Matrix
  • Precision and Recall
  • Linear Regression
  • Gradient Descent
  • Polynomial Regression
  • Logistic Regression
  • Decision Trees
  • Training Decision Tree
  • Class Probabilities
  • CART Algorithm
  • Gini Impurity vs Entropy
  • Random Forests
  • Ensemble Learning
  • Voting Classifiers
  • Clustering
  • K-Means Algorithm
  • KMeans++
  • Artificial Neural Networks with Keras
  • Perceptron
  • Multilayer Perceptron
  • Regression MLPs
  • Classification MLPs
  • Training Deep Neural Networks
  • Vanishing/Exploding Gradients
  • Batch Normalization
  • Transfer Learning
  • Regularization
  • Dropout
  • MC Dropout
  • Introduction to Generative AI
  • Foundational, Open-Source, Closed-Source LLMs
  • OpenAI LLM Model Setup
  • Google Gemini LLM
  • Hugging Face Models
  • LangChain Framework
  • Key Components
  • Modules in LangChain
  • Customer Service Apps
  • Sentiment Analysis
  • Text classification
  • Document summarization
  • Output parsers
  • Tokens & Cost Monitoring
  • Streamlit Apps
  • Why RAG
  • RAG pipeline architecture
  • Document Loaders
  • Embeddings
  • Vector Databases
  • Retrievers in Langchain
  • Building Chatbot App
  • Prompt Engineering
  • Zero shot, One shot, Few Shot prompting
  • Chain of Thought
  • Tree of Thought
  • Verifying Output, Controlling Output

Real-World Projects That Get You Hired

AI-Powered Profile Onboarder

A Django-based Gen AI app that automates resume parsing, profile scoring, onboarding, and job applications using LLMs.

🛠 Tools Used: Django, DRF, MySQL, Bootstrap/Tailwind, Celery, Redis, OpenAI, LLaMA, PyMuPDF, Regex

AI-Driven Bank Statement Analyzer

Automates bank statement analysis using OCR and LLMs to classify transactions, detect fraud, and generate financial insights.

🛠 Tools Used: Python, OCR, OpenAI/LLMs, Pandas, NumPy, Machine Learning

Analysis of Capitals and Universities Data

Analyzes CSV datasets to identify geographical, educational, and ranking trends across countries and universities.

🛠 Tools Used: Python, Pandas, CSV Handling, Data Analysis

Online Shopping System

Builds a shopping cart system using Python OOP with GST calculation, invoice generation, and order summaries.

🛠 Tools Used: Python, OOP Concepts

Analytic American Association

A law firm management system for handling clients, lawyers, billing, invoices, and workflow automation.

🛠 Tools Used: Python, OOP Concepts, File Handling

Sales Data Insights

Performs sales analysis to identify trends, customer behavior, and forecasting insights using data libraries.

🛠 Tools Used: Python, Pandas, NumPy, Data Visualization

Melbourne Housing Snapshot

Analyzes Melbourne housing data to identify price trends, location impact, and best-value suburbs.

🛠 Tools Used: Python, Pandas, NumPy, Data Analysis

Remaining Mini Projects will be given as Assignments

  • Decision Tree Classifier on Moon Dataset.
  • Ensemble on MNIST Dataset
  • Titanic Dataset – Classification Task
  • SVM Classifier on MNIST Dataset

Watch the Demo of Our DATA SCIENCE GEN AI Course in Telugu to Get a Preview of the Topics Covered.

Hear from Our Successful Students

Keerthi KatabathiniData Science with Gen AI Student
As a fresher, I found FLM’s Data Science with Gen AI course very useful. Beginner-friendly training, practical learning, and supportive sessions.
V SURYA CHANDAN KUMARData Science with Gen AI Student
Purchased the Data Science course and loved it. Every topic is explained clearly in detail. Choosing FLM at this affordable price was a great decision.
Saritha.PData Science with Gen AI student
I joined FLM’s Data Science with AI course and improved my skills. Trainers are experienced, supportive, and explain concepts very well.
Lokesh MylavarapuData Science with Gen AI Student
Joined Data Science with Gen AI at FLM. Interactive classes, real-time examples, and excellent support for resumes, Naukri profiles, and mock interviews.
PRANAY VAIDAData Science with Gen AI Student
My FLM experience has been excellent. Easy Telugu teaching, supportive mentors, affordable fees, and career-focused sessions made learning effective.
Varunkumar NerellaData Science with Gen AI Student
Concepts are explained in a simple and effective way with relatable examples. A great learning experience that builds confidence and understanding.
Sai Kiran SkData Science with Gen AI Student
FLM’s team is highly supportive and focused on career growth. They help improve skills in every aspect. A great coaching institute.
Anand Mohan Reddy KarriData Science with Gen AI Student
Learning Data Science with Gen AI at FLM has been great. Trainers explain concepts clearly with practical examples that are easy to understand.
Venu GopalData Science with Gen AI Student
FLM offers excellent courses for beginners and professionals. Resume building, communication, and freelancing sessions add great value.
Sai KoradaData Science with Gen AI Student
Enrolled in Data Science with Gen AI at Front Lines Media. Trainer explanations are clear, engaging, and easy to follow. Highly recommended.
Sai SubhashData Science with Gen AI Student
Great learning experience with supportive management and trainers. Recorded classes and grooming sessions help both technical and career growth.
Deepthi PriyaData Science with Gen AI Student
Really enjoying this course. Concepts are explained clearly and deeply. A great platform to gain practical knowledge and improve skills.
Raju ItikyalaData Science with Gen AI Student
The course is very helpful with real-time examples. Trainers explain concepts patiently and clearly, making learning easy for everyone.
Tanniru VarshaData Science with Gen AI Student
Thanks FLM for a wonderful Data Science learning experience. Simple teaching, practical sessions, and supportive trainers make learning easy.
Puli VennelaData Science with Gen AI Student
FLM provides practical training at an affordable fee. Mentors support interview prep, resumes, LinkedIn optimization, and career growth.
KAMARI NARASIMHAACHARIData Science with Gen AI Student
Halfway through the Data Science with Gen AI course and the experience is excellent. Daily classes help stay consistent and learn effectively.
Dinesh ThotaData Science with Gen AI Student
Learning Data Science at FLM has been a great experience. Well-structured course, clear explanations, and supportive trainers throughout.
KOPPISETTI SURYA TEJAData Science with Gen AI Student
Enrolled in Data Science with Gen AI. Trainers explain concepts clearly, clear doubts, and help improve technical and practical skills.
ravikiran mukkaralaData Science with Gen AI Student
I enrolled in the Gen AI with Data Science course. My mentor teaches deeply and covers every topic thoroughly. Happy with my choice.
Vinay prasadData Science with Gen AI Student
The course is updated with current industry trends. Explanations are detailed, simple, and help build strong conceptual understanding.
Karthik SiripalliData Science with Gen AI Student
Learning Data Science at FLM is easy to follow. The teaching is beginner-friendly, and I can learn from scratch without coding knowledge.
Anudeep VarmaData Science with Gen AI Student
Recently joined Data Science with Gen AI at FLM. Practical sessions, clear explanations, and a structured curriculum make learning enjoyable.
CHALLA SRIDEVIData Science with Gen AI Student
Joined FLM through a friend’s recommendation. The team supports resume building, interview prep, and career growth at every step.
Prathima PaturuData Science with Gen AI Student
Had a great learning experience with FLM’s Data Science course. Concepts were explained clearly with practical examples and confidence-building.
Lokesh MylavarapuData Science with Gen AI Student
Data Science with Gen AI at FLM offers interactive classes, real-time examples, and excellent placement support. Highly recommended.

Success Stories That Prove Your Potential

From Non-Tech to Data Scientist at TCS - ₹12 LPA
Priya
Hyderabad
Got ML Engineer role at Infosys - ₹15 LPA
Rajesh
Vizag
Started AI consulting business - ₹50K/month
Meera
Vijayawada
From Non-Tech to Data Scientist at TCS - ₹12 LPA
Priya
Khammam

Complete Data Science & Generative AI Mastery in Telugu

Actual Price

Rs. 59,999/-

Special Price

Rs. 19,999/-

Save

Rs. 40,000/-

Beyond Courses. We Build Careers.

Every program includes industry-focused add-on sessions designed to help students crack jobs, freelance, switch careers, and grow professionally.

Career Acceleration Ecosystem

Everything you need beyond coding to become job-ready.

Resume Building

Session 01

LinkedIn Optimization

Session 02

Freelancing

Session 03

Career Switch Guidance

Session 04

Job Search Strategy

Session 05

Financial Awareness

Session 06

MAANG Preparation

Session 07

Agile & Scrum Workflow

Session 08

Git & GitHub

Session 09

HR + Salary Negotiation

Session 10

Communication Bootcamp

Session 11

Proof of Your Potential: Alumni Results

At Frontlines Edutech, we believe in transforming careers. Our Generative AI course in Telugu provides practical skills and knowledge that lead to real-world success, ensuring you are well-equipped to excel in your chosen field.

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Frequently Asked Questions

No! While Data Science involves math, modern Python libraries and LLM frameworks (like LangChain and TensorFlow) do the complex mathematical calculations for you. We teach you the logic behind the systems and how to apply them. You do not need a Ph.D. to become a highly paid AI Engineer.

Absolutely. In fact, English and logical thinking are the new programming languages. Prompt Engineering and AI Automation are the fastest ways for non-IT students to bypass traditional coding roles and secure high-paying tech salaries. We teach you Python from absolute zero.

 

Yes! All sessions, practical model training, and doubt-clearing classes are taught in Telugu. We break down complex Machine Learning algorithms and GenAI frameworks in your regional language to ensure absolute conceptual clarity.

A Data Scientist focuses heavily on analyzing historical data to provide business insights using statistics and ML. An AI Engineer focuses on building and deploying intelligent systems (like chatbots, automation workflows, and AI Agents) using Large Language Models and Deep Learning. We train you in both disciplines.

While standard ChatGPT just answers questions, AI Agents can actually take action. They can browse the web, send emails, trigger workflows, and make logical decisions on their own. Mastering AI Agents puts you at the absolute cutting edge of the industry.

This course is entirely project-driven. You will process real-world datasets and build live AI models—including RAG Document Assistants, Loan Risk Predictors, and Custom AI Chatbots—to showcase directly to hiring managers on your GitHub.

Because AI directly drives massive corporate revenue and efficiency, professionals are paid a premium. Freshers can expect starting salaries between ₹8 LPA and ₹15 LPA. With advanced LangChain expertise and experience, salaries rapidly scale to ₹30 LPA to ₹60 LPA+.

It is currently the most lucrative freelance skill in the world. Every business wants to implement AI but doesn’t know how. You can easily take on high-paying freelance projects setting up AI customer support bots or automation pipelines for international clients.

Yes. We provide comprehensive placement support. This includes aggressive GitHub portfolio reviews, building an ATS-friendly AI professional resume, conducting live technical mock interviews, and providing direct job updates for top tech companies.

Yes. Upon successfully completing the training and deploying your real-time AI and Machine Learning projects, you will receive an industry-recognized certificate from Frontlines EduTech to massively boost your LinkedIn profile and resume credibility.

Get Certified

Yes, you’ll get a Certificate representing your Industry Readiness once you submit your projects and clear the pre placement test.

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Certified by ISO 21001:2018

Recognized by Startup India

Registered under MSME

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