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Choose a suitable learning format and schedule, including options for learners looking for full stack Python training in Hyderabad.
Everything you need to become a successful full-stack developer
Build real-world industry projects from day one.
Learn from industry experts with 10+ years of real-world experience.
Dedicated placement cell with assistance until you get hired
Get certified and boost your resume with recognized credentials
Access to learning materials and recorded sessions
Communication, aptitude, and personality development sessions
Professional resume preparation and LinkedIn profile optimization
Weekly technical and HR mock interviews.
● Pay After Placement Options Available
● Flexible Payment Plans
● Mega Job Drives
● 24/7 Learning Support
● 6-12 Months LMS Access
● Doubt Clearing Sessions
Select the learning option that matches your experience, career goals, and availability, with flexible training designed for students and working professionals
Best for: Beginners & learners
Best for: Job seekers aiming for placements
Best for: Learners seeking internship + placement assistance
Not sure which program to choose? Contact our counselors for a free consultation. We’ll help you select the best program based on your background, goals, and availability.
Everything you need to know before enrolling in our program
Special Note: Explore practical learning pathways including the Full Stack Python Generative AI bootcamp course, Full stack python Generative AI Internship course, Full stack python Generative AI Job guarantee course, and Full stack python Generative AI real-time project based on different learning and career goals.
Master Python programming, frontend technologies, backend development, databases, APIs, deployment, and live project implementation.
Python Introduction & setup environment, identifiers, and data types (Integer, Float, String, Boolean, Complex, List, Tuple, Set, Dictionary, Bytes, ByteArray, Range, None)
Operators in Python (Arithmetic, Assignment, Logical, Equality, Comparison, Bitwise, Identity, Membership)
Control Statements, Iterative Statements, Transfer Statements
Functional Programming, Lambda Functions, Packages, Modules
Pandas Library, NumPy Library
Advanced Data Structures (Stack, Queue, Binary Tree, Linked List)
Object-Oriented Programming (Classes, Objects, Inheritance, Polymorphism, Encapsulation, Abstraction)
File Handling, Exception Handling, Decorators, Generators
Multi-Threading, Assertions, Web Scraping with Regular Expressions
Database Connectivity (MySQL)
HTML & HTML5, CSS & CSS3, JavaScript (Data Types, Operators, Control Statements, Functions, DOM, OOPS)
Bootstrap (4 & 5) – Grid System, Components, Forms, Validations
Django – MVT Pattern, Models, Forms, ORM, Cookies & Sessions, REST API (Django REST Framework)
Flask & Flask RESTful with Microservices
FastAPI with Microservices
AngularJS & Angular 14 – TypeScript, Data Binding, Components, Pipes, Routing
ReactJS – Components, State, Props, Hooks, Redux, JSX
MySQL/Oracle – DDL, DML, Constraints, Joins, Transactions
AWS with Python Integration
Cloud Comparison (AWS vs Azure vs Google Cloud)
AI Fundamentals, Problem Solving, Search Algorithms, Knowledge Representation
AI Applications across Industries (Healthcare, Banking, Automotive, etc.)
DSA – Arrays, Stacks, Queues, Linked Lists, Trees, Algorithm Analysis
Quantitative Aptitude (Maths, Algebra, Percentages, Time & Work, Profit & Loss, etc.)
Reasoning (Series, Coding-Decoding, Blood Relations, Puzzles, Data Interpretation)
English Grammar, LSRW Skills, Communication Skills, Business Communication
Public Speaking, Presentation Skills, Employability Skills (Resume, Interviews, GD)
International Tools (SWOT, IKIGAI, Mind Mapping), Voice & Accent Training
4 to 6 Months of Intensive Training
Build practical, career-focused skills through structured learning, hands-on projects, and support suitable for individual learners and generative AI corporate training requirements.
Years Experience
Students Trained
Hiring Partners
Placement Rate
Established training institute with proven track record of producing industry-ready professionals
Learn from trainers with 10+ years of real-world industry experience in leading tech companies
Dedicated placement cell with tie-ups with 500+ companies. We support you until you get hired
Updated syllabus covering latest technologies and industry best practices with hands-on projects
Not just training, but complete career transformation with soft skills and interview preparation
Multiple batch timings to suit working professionals, students, and freshers
Work on real client projects during internship at Ramana Soft IT company
Flexible payment options including pay after placement for eligible candidates
We provide innovative placement solutions with direct access to hiring companies, paid internship programs, and comprehensive training that transforms freshers into job-ready professionals. Our proven methodology has helped thousands launch successful tech careers.
Understand the role of practical project experience and relevant credentials while preparing for a generative AI developer certification and building practical Generative AI skills.
Full Stack Python with AI Engineering
This certifies that
[Your Name]
has successfully completed the
Full Stack Python with AI Engineering
Training Program
Ameerpet, Hyderabad
QT-2024-XXXX
Our certificates are recognized by leading companies and add credibility to your resume
Increases your chances of getting hired and helps in salary negotiations
Get both digital certificate for online sharing and physical certificate for framing
Proves your expertise in Full Stack Python in all mentioned technologies
Upon successful completion of training program
For I&I program from Ramana Soft IT Company
For major projects completed during training
Find answers to common questions about our Full Stack Python with AI Engineering training program
Yes, but the order matters: the course teaches Python, APIs and databases first, because building an LLM feature without understanding how a web service works produces demos that cannot be deployed or debugged. This makes the program suitable as a full stack Python course for freshers while also providing the broader foundation of a full stack Python with generative AI course.
Any graduate or final-year student with comfort in basic logic can join. A computer science degree helps but is not required.
Yes, the generative AI portion assumes no prior machine-learning knowledge, because building applications on top of LLM APIs is software engineering rather than model training. The course introduces the required concepts progressively so beginners can understand how AI functionality is integrated into applications.
No. This course is about building applications with models rather than creating them, so the maths requirement is minimal. Model training and statistics belong to a data science track instead, while learners with existing Python experience can use the program for Python developer to AI developer upskilling.
It is realistic but competitive, and freshers who succeed almost always have a deployed project and a public repository rather than only a certificate. Learners targeting AI engineer jobs USA or planning a career change to AI developer should focus on demonstrating practical development skills through projects, code and interview preparation.
Publish the actual named project list rather than a generic claim, since project specificity is what freshers are judged on in interviews. Include the confirmed applications, such as a RAG assistant, multi-agent workflow or deployed application, and clearly identify any Full stack python Generative AI real-time project included in the program.
Publish a realistic range only after checking it against actual learner outcomes. Avoid any implied guarantee, and compare the learner’s progress against the skills and project work expected for the best generative AI course 2026 options being considered.
Confirm whether separate fresher and fast-track batches run, since mixed-experience batches in a course this broad can move too fast for one group and too slow for the other.
Yes, resume support, mock interviews and placement assistance are available to eligible learners including freshers, on completion of the course and capstone.
Most freshers find debugging agent behaviour hardest, because agents fail non-deterministically, which is why the course covers tracing, evaluation and failure modes rather than only the happy path. This practical work is particularly relevant when learning through an agentic AI development course.
Start building modern web applications through expert-led training, live projects, and placement support with our Python Classes in Ameerpet.
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