Python & Generative AI Engineer Professional

Python & Generative AI Engineering: From Basics to AI Agents

As Surats leading institute for AI & Python training, SkillPlus Academy offers hands-on Generative AI Engineering, RAG Pipelines, and AI Agent development - available offline in Surat and live online worldwide. Our industry-aligned curriculum covers tools like LangGraph, Docker, and OpenAI/Gemini APIs, providing the skills to build scalable AI solutions. With included internships and placement support, we ensure students and professionals from Surat to Rajkot are job-ready for the future of tech.

Fetching Python & Gen AI Jobs Hiring Now in India

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Duration: 12 Weeks Mode: Live Online

Real Classroom Feel Projects & Assignments Industry + Job Ready Lifetime LMS Access

Indian Residents

24,999

Overseas Std.

$349

Master Python & Generative AI

SkillPlus Academy is Surats most advanced Generative AI training institute, specializing in Python programming, RAG Pipelines, and AI Agent development with hands-on labs and live industrial projects. Our mentor-driven curriculum is optimized for 2026 tech standards, covering LangGraph workflows, Docker containerization, and Model Context Protocol (MCP) to prepare you for high-impact roles like AI Engineer and LLM Developer. Unlike generic coaching centers, our AI Engineering course in Surat focus exclusively on building production-ready intelligent systems-ensuring every module, from Pydantic to Vector Databases, is dedicated to making you a professional Python & AI Solutions expert.

Python, RAG & AI Agents Curriculum

Phase 1 Modern Python & Engineering Foundations

Module 1

Advanced Python & Pydantic

Mastering Clean Code & Logic

Python Fundamentals

Mastering Lists, Dicts, Generators, and Asynchronous Programming (asyncio)

Pydantic & Data Validation

Building robust data models and handling Type Hints for AI pipelines

OOP for AI

Classes, Objects, and Design Patterns for modular AI systems

Module 2

Engineering Essentials (Git & Docker)

Production-Ready Environments

Version Control

Mastering Git workflows, Branching, and Collaborative coding on GitHub

Dockerization

Containerizing AI apps for consistent deployment across cloud environments

Phase 2 LLM Implementation & RAG Systems

Module 3

LLM Foundations & Prompt Engineering

Interacting with Foundation Models

LLM Architectures

Understanding Transformers, Attention mechanisms, and Tokenization

Advanced Prompting

Few-shot, Chain-of-Thought, and System Prompts for OpenAI & Gemini

Local LLMs with Ollama

Running and integrating open-source models (Llama 3, Mistral) locally

Module 4

Retrieval-Augmented Generation (RAG)

Building Private Knowledge AI

Vector Databases

Understanding Pinecone, ChromaDB, and Embedding models

Document Processing

Chunking strategies, Metadata filtering, and knowledge retrieval logic

Project

Developing a "Talk to your PDF" Private AI System

Phase 3 Agentic AI & MCP Protocol

Module 5

LangGraph & AI Agents

Stateful Multi-Agent Workflows

Autonomous Agents

Building loops and reasoning systems that can use external tools

LangGraph Workflows

Developing state-managed graphs for complex, multi-step AI tasks

Module 6

Model Context Protocol (MCP) & Deployment

Connecting AI to Everything

MCP Integration

Building MCP Servers to connect LLMs with Databases, APIs, and OS tools

Cloud Deployment

Deploying AI Agents on Cloud platforms for production scaling

Final Capstone

Build and Present a Fully Autonomous AI Solution

AI Engineer Career Path & Salary Insights

Master the future of Tech - move from Python Developer to AI Solutions Architect with structured industry stages.

01

Entry 0 2 Years

Python Developer / Associate AI Engineer

Starting Your AI Engineering Journey

Expected Salary

5 9 LPA

Industry Data (2026)

Build robust applications using Python & Pydantic, manage environments with Docker, and integrate basic LLM APIs (OpenAI/Gemini) for automation tasks.

Python OOP Docker LLM APIs

02

Professional 2 5 Years

Gen AI Engineer / LLM Specialist

Mastering RAG & Agentic Workflows

Expected Salary

10 22 LPA

Industry Data (2026)

Develop advanced RAG pipelines, build stateful AI agents using LangGraph, and implement vector databases for long-term AI memory and knowledge retrieval.

LangGraph RAG Systems AI Agents

03

Expert 5+ Years

AI Solutions Architect / Head of AI

Leading Enterprise AI Strategy

Expected Salary

25 55L+ LPA

Industry Trends (2026)

Design scalable AI architectures, lead multi-modal AI projects, and implement Model Context Protocol (MCP) for enterprise-wide tool integration and governance.

System Design MCP Protocol AI Strategy

Salary ranges are indicative based on industry data (2026) sourced from , & . Actual salaries may vary by location, skills & experience.

Python & Gen AI: FAQs

01

Prerequisites

No prior experience is needed. We start from Python fundamentals and gradually move to advanced Generative AI concepts like RAG Pipelines and AI Agents.

02

Curriculum

The course covers Advanced Python, Pydantic, Docker, LLM Prompt Engineering, RAG Systems, Vector Databases, LangGraph, AI Agents, and Model Context Protocol (MCP) for production deployment.

03

Mode

Yes. The course is available both offline at our Surat campus and live online for students from Ahmedabad, Vadodara, Rajkot, and anywhere worldwide.

04

Course Comparison

This course focuses on building LLM-powered applications, AI Agents, and RAG Pipelines. Data Science focuses on predictive modeling and machine learning algorithms. They are separate specializations that complement each other.

05

Tools

You will work with OpenAI and Gemini APIs, LangGraph, Docker, Pinecone, ChromaDB, Ollama for local LLMs, and Model Context Protocol (MCP) for enterprise AI integration.

06

Placement

We provide a mandatory Industry Internship, portfolio development, mock interviews, and alumni network connections to help you land roles like AI Engineer or LLM Developer.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.