🎓
Rahul placed successfully!

Secured a role in AI & GenAI at Tech Mahindra

🐍 Modern Python & GenAI Engineering

Python & Python with AI Mastery

Go beyond basic syntax. Master modern object-oriented Python, asynchronous event loops, FastAPI microservices, and build next-gen AI applications powered by LangChain, LLMs, Vector Databases, and autonomous multi-agent swarms.

3.0 Months Hands-on Track
8+ Production Apps Enterprise Portfolios
100% Placement Support
PCAP & AI Prep Global Certification

Who Is This Program Ideal For?

Designed for developers, fresh graduates, and career changers wanting to master high-performance Python alongside modern Generative AI engineering.

💻

Freshers & CS Graduates

College grads wanting to bypass entry-level limits by mastering production-grade Python OOPs, FastAPI, and hands-on AI agent development.

⚡

Backend & QA Engineers

Software developers, automation testers, and scriptwriters looking to upskill into GenAI pipelines, vector databases, and AI microservices.

🤖

Aspiring AI Developers

Professionals aiming for specialized roles like Python Developer, LLM Engineer, Backend AI Specialist, and GenAI Solutions Architect.

Core Skills You Will Build

Comprehensive technical mastery across foundational syntax, OOP patterns, microservices architecture, and cutting-edge GenAI agent workflows.

🛠
Advanced Python & Async Architecture

Master OOPs, Metaclasses, Decorators, Generators, Context Managers, and high-concurrency AsyncIO event loops.

🚀
FastAPI Microservices & Databases

Design production REST APIs with Pydantic validation, JWT authentication, PostgreSQL, and SQLAlchemy ORM layers.

🧠
RAG & Vector Search Engineering

Build semantic retrieval pipelines using OpenAI embeddings, ChromaDB, Pinecone, and custom chunking algorithms.

🎯
LangChain & Autonomous AI Agents

Construct multi-step autonomous agent tools with CrewAI, LangGraph, prompt chaining, and memory persistence mechanisms.

Curriculum & Modular Syllabus

A structured 5-module progression from core computational logic to enterprise Generative AI deployment.

Module 1: Python Core Foundations, OOPs & Clean Code Architecture ▾
  • Deep dive into Python data structures: Lists, Dicts, Tuples, Sets, and Collections module
  • Functional programming: Lambdas, map/filter/reduce, List Comprehensions, and Generators
  • Object-Oriented Programming: Class mechanics, Inheritance, Polymorphism, Encapsulation, and Dunder methods
  • Advanced features: Custom Decorators, Context Managers, File I/O, Error Handling, and Virtual Environments
Module 2: Concurrency, Databases & FastAPI Microservice Engineering ▾
  • Asynchronous programming with AsyncIO, Threading, and Multiprocessing pipelines
  • Relational Database Modeling with PostgreSQL, SQLite, and SQLAlchemy ORM integration
  • Building high-speed RESTful APIs using FastAPI, Swagger UI auto-docs, and Pydantic schemas
  • API Security: JWT token generation, OAuth2 password hashing, and CORS middleware configurations
Module 3: Data Engineering Fundamentals (NumPy, Pandas & Web Scraping) ▾
  • Vectorized computing and multidimensional array operations with NumPy
  • Data wrangling, cleaning, grouping, pivoting, and aggregation workflows with Pandas
  • Automated web scraping and structured HTML parsing using BeautifulSoup4 and Playwright
  • Data visualization using Matplotlib and Seaborn for business insights
Module 4: Generative AI, LLM Integration & RAG Architecture ▾
  • OpenAI API integration, HuggingFace Transformers, and open-source models (Llama 3, Mistral)
  • LangChain core: Prompt Templates, Output Parsers, LCEL (LangChain Expression Language), and Memory
  • Retrieval-Augmented Generation (RAG): Document loaders, recursive text splitters, and embedding models
  • Vector Databases: Storing and indexing high-dimensional embeddings using ChromaDB and Pinecone
Module 5: Autonomous AI Agents, LangGraph & Cloud Deployment ▾
  • Building goal-driven Autonomous AI Agents with CrewAI and LangGraph state machines
  • Equipping AI agents with custom Python tools, SQL querying capabilities, and web searching skills
  • Containerizing Python & AI applications using Docker and Docker Compose
  • Deploying production FastAPI + AI microservices onto AWS EC2 and Render with CI/CD GitHub Actions

Real-World Enterprise Capstone Projects

Build rich portfolio projects to showcase directly to hiring managers and recruiters.

Enterprise RAG Project

Multi-Document Enterprise Knowledge Agent

Construct an end-to-end RAG application allowing users to query 100+ PDFs with citation tracing, hybrid BM25 search, and semantic re-ranking.

Agentic AI Project

Autonomous Financial Research & Market Analyst

Build a multi-agent system using LangGraph and CrewAI that scrapes live stock filings, runs valuation models, and drafts investment memos.

Backend Microservice

High-Concurrency E-Commerce API Engine

Develop an asynchronous FastAPI backend featuring JWT authentication, Celery background tasks, Redis caching, and PostgreSQL ORM.

AI Automation Project

Automated Code Review & Refactoring Bot

Build an AI bot integrated with GitHub webhooks that automatically analyzes pull requests for bugs, security vulnerabilities, and PEP8 standards.

Learner Success & Reviews

See how our alumni transitioned into high-growth Python Developer and AI Engineer roles.

"The transition from basic Python to building real-world RAG apps with LangChain and FastAPI gave me the practical confidence to crack my Infosys technical rounds with a great hike!"

PV
Pooja Verma
Placed at Infosys (Python AI Engineer) ↑ 145% Hike (8.5 LPA)

"As a fresher, learning Docker, FastAPI, and Autonomous AI agents set my GitHub profile apart completely. The 1-on-1 mock interviews were instrumental."

RK
Rohan Kulkarni
Placed at Tech Mahindra (Backend AI Dev) ↑ Fresher Offer (7.2 LPA)

Frequently Asked Questions

Common queries regarding prerequisites, coding environments, batch schedules, and placements.

Do I need prior coding experience to join this program? ▾

No prior coding knowledge is required. We start from foundational programming principles and progressively build up toward advanced object-oriented design and AI architectures.

How is 'Python with AI' different from traditional Python courses? ▾

Traditional courses stop at basic loops and basic web apps. Our program empowers you to build cutting-edge Generative AI applications, integrate OpenAI/Claude APIs, build Vector Search RAG systems, and automate workflows with Autonomous Agents.

Will I get interview calls and placement support? ▾

Yes. We provide 100% placement assistance, including dedicated resume building for Python/AI roles, GitHub code portfolio curation, and 1-on-1 technical mock interview rounds with industry leads.

Tools & Frameworks Covered

Master the modern enterprise Python and Generative AI tech stack.

◆ Python 3.12+ ◆ FastAPI & Pydantic ◆ LangChain & LangGraph ◆ CrewAI Multi-Agents ◆ OpenAI & Claude APIs ◆ ChromaDB & Pinecone ◆ PostgreSQL & SQLAlchemy ◆ Docker & Compose ◆ Pandas & NumPy ◆ Git & GitHub Actions
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