Start Your AI Journey Learn Data Science, ML, and Gen AI with FLM’s Expert Training in Telugu

Name: Data Science With Gen Ai by FLM Aug 2025
Brand: FrontLines EduTech
SKU: 6879f643ee01701b7fdc9758
Price: 17999 INR
Availability: InStock

Learn Data Science and Generative AI in one complete course. Master Python, Machine Learning, Deep Learning, NLP, and AI tools like ChatGPT, DALL·E, and LangChain in Telugu by FLM. Build real-time projects and boost your career.

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Generative aI is Powering the Future:
The Global Surge in Demand and Opportunities

AI Excel Features

Demand

AI + Data Science are changing every industry. Learn tools like Python, Pandas, ChatGPT, and LangChain to stay ahead and unlock global job roles in the AI revolution.

Better Salary

Data Science + Gen AI professionals now earn ₹7–20 LPA. Roles include Data Analyst, ML Engineer, Prompt Engineer, and AI Strategist — all accessible with hands-on projects and no prior coding needed.

Career Growth

Become a Data Scientist, AI ML Engineer, Gen AI Developer , AI Enginer. No tech background needed. Learn step-by-step with expert guidance and real-world use cases.

FLM Goes Beyond Just Delivering Courses – We Empower Future Leaders!

Whether you’re a beginner or looking to grow in your IT career, learning Data Science with Generative AI gives you a strong edge. This course teaches you practical Generative AI skills with real-world examples, helping you work faster, deliver secure software, and stand out in today’s tech industry.

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Course Syllabus

Excel with AI – Course Modules

1. Python Programming & Foundations +

Why Python? Who uses it? What can we build with it?
Python Interpreter – Programmer’s View & Internals
Installation: Python, PyCharm, Anaconda, IDLE Setup
Data Types: Numbers, Strings, Lists, Tuples, Sets, Dictionaries, Files
Control Flow: if-else, loops, comprehensions, map, zip, range, len, enumerate
Functions: def, lambda, nested functions, scopes (LEGB), arguments
Modules & Packages: import, pycache, namespaces, reloading, relative imports

Object-Oriented Programming: Classes, Inheritance, Polymorphism, Constructors
Advanced Classes: Abstract Classes, Nested Classes, Operator Overloading
Special Methods: init, getitem, setattr, repr, str, call, bool, del
Data Storage: Pickles & Shelves
Exception Handling: try-except, raise, assert, finally, custom exceptions
Regular Expressions: re module, match, search, replace, meta characters

2. Data Libraries, Processing & Mathematics +

Numpy: Creating Arrays, Indexing, Transposition, Array Functions
Pandas: Series, DataFrames, Data Reading, Cleaning, Wrangling, Selection, Extraction
Math Essentials:
Linear Algebra
Statistics
Probability
Differential Calculus

3. Machine Learning – Supervised & Unsupervised +

ML Introduction: What, Why, Examples, System Types
Supervised vs Unsupervised, Batch vs Online, Instance vs Model-Based
Overfitting vs Underfitting, End-to-End ML Project Phases
Classification: Binary, Multi-Class, Multi-Label, Multi-Output
Metrics: Accuracy, Confusion Matrix, Precision, Recall
Regression: Linear, Polynomial, Logistic, Ridge, Lasso, Early Stopping
Gradient Descent (Batch, Stochastic, Mini-batch)
Ensemble Models: Random Forests, AdaBoost, Gradient Boosting, Stacking
Unsupervised Learning: Clustering (K-Means, DBSCAN), Preprocessing, Semi-supervised Learning

4. Deep Learning & Neural Networks +

Intro to Neural Networks: Biological Neurons, Perceptrons
Multilayer Perceptron (MLP), Backpropagation
Keras: Sequential & Functional APIs, Model Saving, Restoration
MLPs for Regression & Classification
Tuning: Hidden Layers, Neurons, Learning Rate, Batch Size
Decision Trees: Training, CART, Gini vs Entropy, Regularization
Voting Classifiers, Bagging, Pasting
Advanced DL:
Vanishing/Exploding Gradients
Initialization Techniques (Glorot, Lecunn)
Batch Normalization, Gradient Clipping
Transfer Learning
Dropout, L1/L2 Regularization

5. Generative AI with LLMs & Prompt Engineering +

LLMs with Keras: Foundation Models, Context Windows, Architecture
Tokens, Prompts, Prompt Engineering, Hallucinations
Microsoft Azure GPT Subscription
Retrieval-Augmented Generation (RAG): Basics, Components, Detailed Flow
TensorFlow Data Pipeline: Chaining, Shuffling, Prefetching, Categorical Encoding
Keras Preprocessing Layers
Real-Time Generative AI: Inference for LLMs, GANs, Diffusion
Evaluation Metrics: FID, Inception Score, Perceptual Quality, Coherence

6. Computer Vision & NLP +

Computer Vision:
Visual Cortex Architecture, Convolutional Layers, Filters
CNN Architectures, Pooling, Memory, Data Augmentation
NLP (Natural Language Processing):
Recurrent Layers, RNNs, Memory Cells, Stateful RNN
Embeddings, Char-RNN
Transformer Architecture: Attention, Self-Attention, Positional Encodings
Pretrained Models: BERT, RoBERTa, T5
Word & Sentence Embeddings: Word2Vec, GloVe, Contextual
Multimodal NLP (Text-Image, Text-Audio)
NLP Metrics: BLEU, ROUGE, F1, Perplexity
Text Classification with BERT

7. LangChain, Llama Index, GANs & Projects +

Langchain Framework:
Connecting with OpenAI, LLaMA
Chains, Output Parsers, Data Loaders, Embeddings, Vector DBs
Llama Index:
Use Cases, Differences vs LangChain
OpenAI API:
Usage, Comparison with LangChain
Retrievers, Top K Results, LCEL Chains
GANs:
Basics (Generator, Discriminator), StyleGAN, CycleGAN
Applications, Challenges, DCGAN Build
Diffusion Models:
DDPM, Stable Diffusion, Text-to-Image, GAN Comparison
Multimodal Content Generators: Text-Audio-Image
Agentic AI:
Autonomous & Multi-Agent Systems
Tool Calling, Reasoning, Ethics
Projects:
Report Generator using LangChain
Customer Support Agent with Tool Calling

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FLM Data Science in Telugu – Project Overview

DevSecOps Highlights

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 Data Science with Generative AI Course to Get a Preview of the Topics Covered.

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DevSecOps – Course Offer

★★★★★

Complete Data Science with

Generative AI Mastery

What's Included :

Module Wise Quizzes, Assignments & 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

Free Bonuses :

₹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 & LinkedIn Preparation

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Student Journey

✔

Visit & Career Guidance

Visiting Frontlines Edutech and connecting with our career counselors can provide the clarity and guidance you need to shape your career path.

💻

Hands-On Training

Our curriculum is crafted to align with current industry trends and is delivered by industry leaders, ensuring you gain practical, job-ready skills.

👤

Placement Assistance

Our program includes career booster sessions, such as resume building, communication and interview preparation, and information on job opportunities.

🎓

Course Certificate

Showcase your skills and dedication with Frontlines Edutech course completion certificate, demonstrating your expertise to employers.

Animated Counters with K/M Format

Our Proven Track Record

With a legacy of excellence, we take pride in our student success stories and trusted industry presence. Here's a glimpse of our journey:

40K+

Happy Students

400+

Batches Conducted

10K+

Students Placed

2M+

Telugu Student Community

Add-On Sessions

Free Career Booster Add-On Sessions

📄

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.

Our Students Have Been Recruited by Major Global MNC's

Company Logos Row

Frequently Asked Questions

The course teaches you everything from Python basics to advanced topics like Machine Learning, Deep Learning, NLP, and Gen AI tools such as ChatGPT, LangChain, and DALL·E. You’ll work on real-world projects and gain job-ready skills for today’s AI-driven market.

This course is ideal for students, freshers, professionals, job seekers, and career switchers. Whether you’re from IT or non-IT background, it’s designed to help anyone learn AI and Data Science step by step.

No coding experience is required! You’ll start from scratch and learn using simple, beginner-friendly tools. Anyone from business grads to aspiring techies can easily follow and build AI-powered data solutions.

Yes! We provide complete job assistance including resume optimization, portfolio guidance, LinkedIn branding, interview coaching, and exclusive placement updates for roles in AI, automation, and digital transformation.

Not a problem! Every session is recorded and made available to you. You’ll get full access to all recordings for up to 2 years, so you can catch up or revise anytime.

Absolutely! We offer EMI facilities and flexible payment plans to make this GenAI course accessible to everyone.

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