Your Ultimate Generative AI Course: Master AI & Data Science

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

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100% Live

Training

2 Years

Recordings

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Free

Addon Sessions

Real Time

Projects

The Data-Driven Job You've Been Waiting For

Hiring Demand

Generative AI is the fastest-growing tech field with millions of jobs projected by 2030.

Salary Growth

AI Engineers earn ₹6–10 LPA (freshers) and ₹18–35 LPA (experienced professionals).

Career Roles

Prompt Engineer, AI Developer, ML Engineer, GenAI Specialist, Research Associate.

Future-Proof Skills

Learn AI tools + coding frameworks for real-world applications (Chatbots, AI Assistants, AI-driven Automation).

Global Opportunities

High demand across IT, SaaS, Healthcare, FinTech, EdTech, Startups, and global freelancing projects.

Real Projects

Hands-on with ChatGPT Apps, LangChain-powered tools, AI Agents, and Domain-Specific AI Applications.

Your Next Employer is Waiting​

From AI Curious to Career Confident

Career Confusion

Coding Fear

Language Barrier

What Makes This Generative 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

Complete Generative AI Course in Telugu

  • Why Python?

  • Python Interpreter (Programmer’s View, Python’s View)

  • Installation: Python, PyCharm, Anaconda, IDLE

  • Data Types: Numbers, Strings, Lists, Dictionaries, Tuples, Sets, Files

  • Control Flow: if-else, loops, comprehensions

  • Functions: def, nested functions, scopes, arguments

  • Modules, Packages & Namespaces

  • Object-Oriented Programming: Classes, Inheritance, Polymorphism

  • Operator Overloading & Special Methods

  • Exception Basics: try/except, raise, assert, with/as, nesting

  • Built-in & Custom Exceptions

  • Regular Expressions in Python: re module, match, search, meta characters

  • Numpy: Arrays, Indexing, Transposition, Processing

  • Pandas: Series, DataFrames, Reading, Cleaning, Wrangling, Selection, Extraction

  • Linear Algebra

  • Statistics

  • Probability

  • Differential Calculus

  • Introduction: ML Systems, Use Cases

  • Types: Supervised, Unsupervised, Instance vs Model Based

  • Full ML Pipeline, Overfitting vs Underfitting

  • Classification: Binary, Multi-class, Multi-label, Multi-output

  • Performance: Accuracy, Confusion Matrix, Precision, Recall

  • Linear, Polynomial, Logistic Regression

  • Gradient Descent (Batch, Stochastic, Mini-batch)

  • Regularization: Ridge, Lasso, Early Stopping

  • Ensemble Methods: Random Forests, AdaBoost, Gradient Boost, Stacking

  • Clustering: K-Means, DBSCAN

  • Preprocessing & Semi-supervised Learning

  • Dimensionality Reduction Techniques

  • Biological Neurons, MLPs, Backpropagation

  • Regression & Classification MLPs

  • Keras Sequential & Functional APIs

  • Model Saving, Hyperparameter Tuning

  • SVM, Decision Trees, Voting Classifiers, Bagging & Pasting

  • Vanishing/Exploding Gradients, Initializations

  • Batch Normalization, Gradient Clipping

  • Transfer Learning, Dropout, Monte Carlo Dropout

  • Regularization: L1, L2

  • Introduction to LLMs: Tokens, Prompts, Architecture

  • Prompt Engineering, Hallucinations, Context Windows

  • Microsoft Azure GPT, RAG Technique (Basics to Deep Dive)

  • TensorFlow Data Pipeline: Shuffling, Prefetching, Encoding

  • Computer Vision: CNNs, Pooling, Data Augmentation

  • NLP: RNNs, Char-RNN, Stateful RNNs, Embeddings

  • Langchain Basics: Connecting with OpenAI, LLaMA

  • Chains, Parsers, Data Loaders, Embeddings, Vector DBs

  • Transformers: BERT, RoBERTa, T5, Word2Vec, GloVe

  • Evaluation Metrics: BLEU, ROUGE, F1, Perplexity

  • GANs: Generator, Discriminator, StyleGAN, CycleGAN

  • Diffusion Models: DDPM, Stable Diffusion

  • Text-to-Image, Multimodal LLMs (Text-Audio, Text-Image)

  • Llama Index vs Langchain vs OpenAI API

  • Real-time Inference: LLMs, GANs, Diffusion

  • Evaluation Metrics: FID, IS, Perceptual Quality

  • Agentic AI: Tool-calling, Multi-Agent Systems, Ethics

  • Projects: Langchain Report Generator, Customer Support Agent

Build projects from this Generative AI Course​

AI-Powered Profile Onboarder

Django GenAI app parses resumes with LLMs, scores profiles, creates accounts, and streamlines job seeker onboarding and applications.

AI-Driven Bank Statement Analyzer

Automates financial data extraction from statements using OCR and LLMs; classifies transactions, detects anomalies, and identifies recurring payments.

Obesity Challenge (AI Prediction)

Predicts obesity risk using survey data and machine learning. Utilizes algorithms like Random Forest, SVM, ANN, and KNN on data from 1610 individuals.

Financial Risk Prediction for Loan Approval

Analyzes a synthetic dataset (20,000 records) for predicting loan approval and financial risk scores.

Analysis of Capitals and Universities Data

Analyzes CSV data of countries and universities to explore geographical and educational trends.

Online Shopping System

Simulates a basic shopping system using Python OOP

Analytic American Association

A law firm management system to track clients, lawyers, tasks, and billing.

Sales Data Insights

Performs end-to-end analysis on sales data using Pandas and NumPy.

Melbourne Housing Snapshot

Analyzes real estate trends from Melbourne’s property sale 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

Career Paths After This Generative AI Course

Freshers

📊 Data Analyst – ₹4–7 LPA

🤖 Junior ML Engineer – ₹5–9 LPA

🧠 AI Developer (Entry Level) – ₹6–10 LPA

✍️ Prompt Engineer (Beginner) – ₹5–8 LPA

💼 AI Associate / Research Intern – ₹4–6 LPA

Experienced

📊 Senior Data Analyst / BI Analyst – ₹10–18 LPA

🤖 ML Engineer / Deep Learning Specialist – ₹12–22 LPA

🧠 AI Developer (Mid to Senior Level) – ₹15–28 LPA

✍️ Prompt Engineer (Advanced) – ₹10–20 LPA

💼 Freelance AI Consultant / GenAI Specialist – ₹1L–2.5L per month

Complete Generative AI & Data Science Mastery in Telugu

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Unlock Your FREE ₹10K Career Toolkit

Resume Building

Create strong resumes with expert guidance.

Job Updates

Get access to latest openings & hiring alerts.

Interview Prep

Mock interviews and communication training.

LinkedIn Boost

Optimize your LinkedIn for visibility.

Career Transition

Guidance to shift domains or roles confidently.

Freelancing

Learn how to start and grow as a freelancer.

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! We start from complete basics and teach everything step-by-step.

100% Telugu instruction with English technical terms explained.

Every session recorded, 2-year access included.

Yes! 100% placement assistance with resume, interview prep.

Yes, flexible EMI starting ₹3,750/month.

Get Certified

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

Approved by AICTE

Certified by ISO 21001:2018

Recognized by Startup India

Registered under MSME

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