๐Ÿ’ฐ โ‚น6.5 โ€“ โ‚น14 LPA TARGET CTC PHYSICAL CLASSROOM TRAINING โšก ONLY 10 PARTICIPANTS / BATCH

Full Stack Python + Generative AI
Career Program

Learn Python, Django, Full Stack Development and Generative AI through structured classroom training, practical projects and career preparation.

DURATION 24 Weeks (450+ Hrs) Classroom • Lab Hours
TARGET CTC โ‚น6.5 โ€“ โ‚น14 LPA Avg 75% Salary Growth
BATCH LIMIT Max 10 Seats 1-on-1 Trainer Access
MODE Physical Classroom HSR Layout, Bengaluru
โœ“ โ‚น6.5 โ€“ โ‚น14 LPA Salary Range
โœ“ 100% Practical Learning
โœ“ 1-on-1 Trainer Mentoring
โœ“ Career Support Included
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๐Ÿ”ฅ Only 10 Seats Per Batch • Target โ‚น6.5Lโ€“โ‚น14L CTC

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INDUSTRY RELEVANCE

Why Full Stack + Generative AI?

Modern software roles increasingly require developers who understand both strong programming fundamentals and AI-enabled development.

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FULL STACK DEVELOPMENT

Build modern web applications using Python, Django, APIs and databases with solid engineering practices.

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GENERATIVE AI

Understand modern GenAI tools, LLMs, prompt engineering, and AI-assisted software development workflows.

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REAL-WORLD PROJECTS

Apply what you learn by building practical applications that solve authentic business and software challenges.

COMPREHENSIVE SKILL STACK

What You Will Learn

A structured, practical curriculum designed to take you from core programming to production-ready application development.

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Python Programming

Core syntax, data structures, object-oriented programming, and algorithmic problem solving.

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Django Backend Development

Server architecture, ORM database querying, authentication systems, and scalable backend logic.

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Frontend Development

Semantic HTML5, modern CSS3 styling, responsive layouts, and interactive JavaScript interfaces.

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Databases

Relational database modeling, SQL querying, PostgreSQL integration, and data integrity.

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REST APIs

Building and consuming custom RESTful endpoints with Django REST Framework (DRF).

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Generative AI

Foundations of Large Language Models (LLMs), prompt engineering, and embeddings.

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LLM Integration

Connecting external GenAI APIs into Python applications to build intelligent features.

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AI-Assisted Development

Using modern AI coding tools to accelerate debugging, testing, and development speed.

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Capstone Project

End-to-end full stack + GenAI software project deployed live for interview demonstration.

LEARNING ROADMAP

Your Learning Journey

A disciplined 6-phase progression from foundational logic to production deployment.

1
PHASE 1

Programming Foundation

Python • Logic • OOP • Algorithms

2
PHASE 2

Backend Development

Django • Databases • SQL • APIs

3
PHASE 3

Full Stack Development

Frontend • Backend • DB Integration

4
PHASE 4

Generative AI

Prompt Engineering • LLMs • AI Tools

5
PHASE 5

AI-Powered Applications

AI API Integration • Intelligent Features

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PHASE 6

Capstone Project

Portfolio Project • Live Presentation

PORTFOLIO BUILDING

Learn By Building Real Projects

Throughout the program, you build practical, portfolio-grade projects that demonstrate genuine software engineering capability.

PROJECT 01

Full Stack Web Application

Build a complete application connecting frontend interface, Django backend logic, authentication, and database storage.

Skills Used: Python, Django, PostgreSQL, HTML5, CSS3, JavaScript
PROJECT 02

AI-Powered Application

Integrate Generative AI and LLM APIs into a real software application to automate workflows and provide smart assistance.

Skills Used: Python, GenAI APIs, Prompt Engineering, API Integration
PROJECT 03

API-Based Application

Learn how modern software components communicate using RESTful APIs, third-party webhooks, and asynchronous data feeds.

Skills Used: Django REST Framework, RESTful APIs, JSON, Postman
PROJECT 04 • CAPSTONE

Capstone Project

Combine the complete skill stack into one comprehensive, portfolio-ready project hosted live for recruiter demonstrations.

Skills Used: Full Stack Python, Django, GenAI, Git, Cloud Deployment
SALARY & CAREER OPPORTUNITIES

High-Demand Roles & CTC Benchmarks

Full Stack Python developers equipped with Generative AI skills command strong compensation packages across Bangalore tech companies and product startups.

AVERAGE TARGET CTC โ‚น7.2 LPA For Full Stack + GenAI roles
HIGHEST CTC POTENTIAL โ‚น18.0 LPA Top cohort performers & switchers
AVERAGE SALARY HIKE 65% โ€“ 120% For career upgraders
HIRING ECOSYSTEM 150+ Partners Startups to global MNCs
ENTRY TO MID โ‚น5.0 โ€“ โ‚น8.5 LPA

Full Stack Python Developer

Build end-to-end web apps, integrating dynamic frontend interfaces with Python & Django servers.

Python Django PostgreSQL HTML/CSS/JS
BACKEND SPECIALIST โ‚น6.5 โ€“ โ‚น11.0 LPA

Python Backend Engineer

Architect scalable backend logic, RESTful microservices, database schemas, and secure API gateways.

Django REST SQL & ORM API Design Git
ADVANCED ROLES โ‚น9.5 โ€“ โ‚น18.0 LPA

AI Application & Solutions Developer

Deploy intelligent automation bots, retrieval-augmented systems (RAG), and production AI workflows.

GenAI Workflows Vector DBs Cloud Deploy Python

Want to understand the salary potential for your specific background & experience?

CHECK YOUR SALARY POTENTIAL →
CAREER READINESS

Career Support Beyond The Classroom

Technical skills are only part of the journey. ATAS Career Support helps prepare you for real-world hiring processes.

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Resume Guidance

Format and refine your technical resume to highlight projects and skills effectively.

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LinkedIn Profile Support

Optimize your professional online profile so technology recruiters find your skillset.

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Mock Interviews

Practice with simulated technical and HR interviews to build articulation and confidence.

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Technical Interview Prep

Prepare for coding logic rounds, system explanation, and backend architecture questions.

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Career Counselling

1-on-1 advisor sessions to align your preparation with your target companies and goals.

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Placement Assistance

Structured application support, interview pipeline guidance, and recruitment drives.

* Institutional Transparency: Career outcomes depend on learner eligibility, attendance, skill development, interview performance and employer requirements. ATAS provides dedicated preparation to maximize your opportunity.

๐Ÿ“ ATAS BENGALURU CENTRE

HSR Layout Campus

Dedicated Computer Labs • In-Person Trainer Guidance • Collaborative Coding Zones

Campus Hours: Mon โ€“ Sat (10:00 AM โ€“ 7:00 PM)
FACE-TO-FACE LEARNING

Learn Face-To-Face At Our Bengaluru Centre

Learning software development is faster and more disciplined when you have instant access to trainers and a collaborative classroom.

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Trainer Guidance:

Get your code reviewed and doubts cleared instantly at your desk.

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Dedicated Lab Access:

Practice coding in dedicated computer labs equipped for full stack development.

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Hands-On Practice:

Structured daily coding sessions ensuring you apply every concept immediately.

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Peer Learning:

Collaborate, debug, and network with fellow ambitious learners.

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Structured Class Schedule:

Stay consistent through defined cohort schedules instead of dropping off online.

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Career Support:

In-person profile guidance and mock interview preparation at the centre.

PROFILE FIT

Who Should Apply?

The program is tailored for ambitious learners seeking structured technical growth and practical development capability.

01

STUDENTS

Final-year college students looking to graduate with hands-on project proof and target starting software roles from โ‚น4.5L โ€“ โ‚น7.5L LPA.

02

FRESH GRADUATES

Recent graduates seeking to bridge academic theory with job-ready full stack engineering and GenAI skills for โ‚น5.0L โ€“ โ‚น8.5L LPA packages.

03

JOB SEEKERS

Candidates looking to build a verifiable project portfolio and prepare systematically for โ‚น6.0L โ€“ โ‚น11.0L LPA developer interviews.

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WORKING PROFESSIONALS

IT professionals and career switchers wanting to upgrade their stack to Python + GenAI and target 50%โ€“120% salary hikes (โ‚น9.0L โ€“ โ‚น15+ LPA).

Not sure whether this program is right for you?

CHECK YOUR ELIGIBILITY →
STUDENT STORIES

Real Learner Transformations

Read genuine transformation stories from learners who completed classroom training at ATAS.

RK

Rohan Kulkarni

Graduate • Python Full Stack Track

โ€œBefore ATAS, I knew basic coding syntax from college but lacked project building confidence. Building full Django backend applications in the classroom with direct trainer reviews prepared me thoroughly for software engineering interviews.โ€

PS

Pooja Sharma

Career Switcher • Full Stack + GenAI

โ€œI wanted to transition into development from tech support. The offline classroom structure kept me focused and consistent. Learning how Generative AI connects with backend APIs gave my portfolio a distinct modern edge.โ€

VM

Vikas Menon

Working Professional • Full Stack

โ€œSelf-paced online tutorials were too unstructured for me. Having a dedicated physical lab in Bengaluru where trainers sit right beside you to debug code made all the difference in completing my capstone project.โ€

FREQUENTLY ASKED QUESTIONS

Program & Admissions FAQ

Clear answers to common questions about the ATAS Full Stack + Generative AI Career Program.

Students, fresh graduates, job seekers, working professionals, and career switchers looking to build job-ready software development and AI integration skills are eligible to apply.

While basic familiarity is helpful, our curriculum starts with programming foundations and logic. Our academic team assesses your background during counselling to tailor your guidance.

This is a physical classroom program conducted at the ATAS Bengaluru Centre to ensure direct trainer mentorship, peer coding, and dedicated lab workstations.

The ATAS training centre is located in HSR Layout, Bengaluru, Karnataka. Full address and campus visit directions are provided upon booking your counselling slot.

You will learn Python programming, Django backend development, relational databases, REST APIs, frontend integration, Generative AI fundamentals, LLM API integration, and capstone deployment.

Yes. You will build 4 primary projects: a Full Stack Web Application, an API-based Application, an AI-powered Application, and a comprehensive Capstone Project.

Yes. ATAS Career Support includes resume reviews, LinkedIn optimization, mock technical interviews, aptitude preparation, and hiring drive assistance.

Graduates typically target compensation packages between โ‚น5.0 LPA to โ‚น8.5 LPA for freshers/entry-level developers, and โ‚น8.5 LPA to โ‚น15+ LPA for experienced developers and career switchers, depending on your prior experience, interview performance, and capstone project portfolio.

ATAS offers regular weekday batches and weekend cohorts designed for working professionals. Speak with our admissions advisor to check current available timings.

The program spans approximately 24 weeks (450+ hours of structured classroom sessions and hands-on lab practice).

Yes. Upon meeting attendance criteria and successfully presenting your capstone project, you receive the official ATAS Certificate of Completion.

Ready To Build Your Next Career Skill?

Speak with the ATAS career team and understand whether Full Stack Python + Generative AI is right for you.

APPLY NOW →

ATAS • Learn. Apply. Excel. • Physical Classroom Training at Bengaluru Centre

๐Ÿ”ฅ Only 10 Participants Per Batch • Upcoming Cohort
Full Stack + GenAI (โ‚น6.5Lโ€“โ‚น14L CTC) Classroom • HSR Layout, Bengaluru
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