Courses
Data Science & Analytics
Web & App Development
Cloud & Data Engineering
Software Testing
DevOps & Cloud Infrastructure
Cybersecurity & Networking
Data Science & Analytics
Web & App Development
Cloud & Data Engineering
Software Testing
DevOps & Cloud Infrastructure
Cybersecurity & Networking
Fill in your details and we’ll get back to you
We respect your privacy. Your information is 100% secure.
Choose a learning format and schedule that fits your professional commitments, including full stack Python training in Hyderabad options.
Everything you need to move from full-stack development into advanced AI engineering, with practical foundations that can also support generative AI corporate training requirements.
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 for working developers and professionals planning a career change to AI developer roles.
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.
What you need to know before advancing into AI development, including how this fast-track path differs from a full stack Python course for freshers.
Apply your existing development skills to Generative AI, LLMs, RAG, AI agents, APIs, deployment and production-oriented AI applications through a curriculum designed for learners evaluating the best generative AI course 2026 options.
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
Your success is our priority. Here’s what makes us the best choice for your career growth
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.
Earn a generative AI developer certification that validates your AI development skills and strengthens your profile for advanced software engineering roles.
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
For working Python developers, the full stack Python with generative AI course adds embeddings and retrieval design, agent architecture and state, and production concerns specific to non-deterministic systems such as evaluation, tracing, guardrails and cost control. This makes the programme suitable for Python developer to AI developer upskilling without losing focus on practical engineering.
An agentic AI development course focuses on building systems where an LLM decides which tools to call and in what order, within a loop you control, rather than following a fixed chain written in advance. The engineering work is in tool design, state management and safe termination.
Yes, both are full modules: LangChain covers core abstractions and composition, followed by LangGraph for stateful graph-based agents, including a migration path from chain-based code.
RAG coverage goes well past a basic demo: chunking strategy, hybrid keyword and vector search, reranking, document handling for PDFs and tables, and retrieval evaluation for groundedness and recall.
Yes, FastAPI is the primary serving framework, covering async endpoints, Pydantic validation, streaming responses for chat interfaces, authentication and containerised deployment.
Yes, the course covers Model Context Protocol concepts and building an MCP server in Python, since it provides a way to expose tools to models across different clients.
Weekend and evening batch availability depends on the current schedule. Please confirm the latest weekday-evening and weekend timings with the admissions team before enrolling.
Experienced developers should confirm whether a formal fast-track entry is available and how eligibility is assessed before skipping the full-stack foundation modules.
Yes, token cost budgeting, caching, model selection by task, streaming for perceived latency, and monitoring spend are treated as core engineering topics rather than afterthoughts.
Yes, the course covers prompt injection, input validation, output guardrails and the specific risks of giving an agent tool access, because these are important production concerns.
Start building modern web applications through expert-led training, live projects, and placement support with our Python Classes in Ameerpet.
Fill in your details to register for the program
