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

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.

Demystifying the Jargon:

Prompt Engineering: The science of designing precise instructions to get flawless, high-value outputs from AI systems like ChatGPT, Claude, and Gemini.
LangChain & RAG: The frameworks used to securely connect an AI brain (LLM) to a private company database, allowing the AI to read internal documents and answer questions without guessing (hallucinating).
AI Agents: Traditional chatbots just talk. AI Agents take action. They can browse the internet, send emails, and make logical decisions autonomously to complete complex workflows

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:

The "AI-First" Hiring Surge:

Every major company—from global banks to e-commerce giants—is no longer just hiring Data Scientists; they are hiring AI-driven Data Scientists who can build predictive models and integrate Generative AI workflows to automate business intelligence.

The Ultimate "Low-Code" Advantage:

While AI sounds complex, modern frameworks (like Python, LangChain, and TensorFlow) have lowered the barrier to entry. This is the best IT career path for freshers and career switchers we focus on AI teaching you how to use these tools to solve real problems, rather than spending years on complex theoretical research.

Explosive Salary Growth:

Because AI-driven insights and automation directly multiply a company's revenue and productivity, professionals who can build and deploy these systems command premium, market-leading paychecks compared to standard IT roles.

Career Future-Proofing:

AI is transforming every industry. By mastering the intersection of Data Science and Generative AI, you become the person who builds the automation, making your skill set essential and entirely future-proof against market shifts.

The Arsenal: Enterprise AI Tools You Will Master

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.

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 Develope

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

Data Science ai Salaries

Job Role

Experience

Average Salary

Prompt Engineer

3–5 Years

₹9 – ₹25 LPA

Generative AI Develope

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

1. PYTHON INTRODUCTION & SETUP

Introduction, Roadmap
Program Execution – programmer’s view, Python’s view
Installation
Python
PyCharm, VS Code, Jupyter Notebook
Setup, configure Python in Laptop

2. PYTHON FUNDAMENTALS

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

3. Prompts & Prompt Engineering

Python Functions
Variable Scopes – LEGB rules
Function Arguments
Lambda functions
Generators and comprehensions
Python Modules
Import statement
Standard library modules
Module packages

4. OOPS & EXCEPTION HANDLING

Python Classes
Constructors and Instances
Method calls
Static and class methods
Inheritance
Polymorphism
Operator Overloading
Exception Basics
try/except/else
Custom Exceptions

5. REGULAR EXPRESSIONS & DATA LIBRARIES

Regular Expressions
match Function
search Function
Search and Replace
Meta characters
Introduction to NumPy
Creating arrays
Introduction to Pandas
Data cleaning with Pandas

6. MATHEMATICS FOR DATA SCIENCE

Linear Algebra
Statistics
Probability
Differential Calculus

7. MACHINE LEARNING FUNDAMENTALS

What is Machine Learning
Types of ML Systems
Supervised Learning
Unsupervised Learning
Challenges of Machine Learning
Overfitting vs underfitting
End to End ML Project

8. CLASSIFICATION & REGRESSION

Binary Classifier
Confusion Matrix
Precision and Recall
Linear Regression
Gradient Descent
Polynomial Regression
Logistic Regression

9. DECISION TREES & RANDOM FORESTS

Decision Trees
Training Decision Tree
Class Probabilities
CART Algorithm
Gini Impurity vs Entropy
Random Forests
Ensemble Learning
Voting Classifiers

10. UNSUPERVISED & DEEP LEARNING

Clustering
K-Means Algorithm
KMeans++
Artificial Neural Networks with Keras
Perceptron
Multilayer Perceptron
Regression MLPs
Classification MLPs

11. ADVANCED DEEP LEARNING

Training Deep Neural Networks
Vanishing/Exploding Gradients
Batch Normalization
Transfer Learning
Regularization
Dropout
MC Dropout

12. GENERATIVE AI & LLMS

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

13. BUILDING AI APPLICATIONS

Customer Service Apps
Sentiment Analysis
Text classification
Document summarization
Output parsers
Tokens & Cost Monitoring
Streamlit Apps

14. RAG & PROMPT ENGINEERING

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

Obesity Challenge (AI Prediction)

Predicts obesity risk using survey data and machine learning models like Random Forest, SVM, ANN, and KNN.

🛠 Tools Used: Python, Scikit-learn, Pandas, NumPy, Random Forest, SVM, ANN, KNN

Financial Risk Prediction for Loan Approval

Analyzes financial data to predict loan approvals and calculate financial risk scores using classification models.

🛠 Tools Used: Python, Pandas, NumPy, Machine Learning, Classification Models

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 GEN AI Course in Telugu to Get a Preview of the Topics Covered.

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 Generative AI & Data Science 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

1. Do I need a strong background in Mathematics or heavy coding knowledge to learn AI?

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.

2. I am from a non-IT background (B.Com, BBA, B.Sc). Is this a good career path for me?

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.

3. Are the live training classes conducted in Telugu?

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.

4. What is the difference between a Data Scientist and an AI Engineer?

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.

5. What are AI Agents and why are they important?

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.

6. Will I actually build real AI models, or is this just theory?

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.

7. What is the starting salary for an AI Engineer or Prompt Engineer in India?

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+.

8. Can I work as a freelancer after learning Generative AI?

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.

9. Do you provide placement assistance?

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.

10. Will I receive a certificate after completing the course?

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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