Live Online • Full Stack Generative AI Program

Become a Full Stack Generative AI Engineer Using Python

Learn frontend, backend, APIs, and production-ready Generative AI. Build AI-powered web apps using Python, FastAPI, LLMs, RAG pipelines, and modern UI frameworks.

Start Date

21 March

Time

10:00 PM IST

Mode

Online • Live

Enroll Now View Curriculum

Trusted by 4 Lakhs+ learners since 1998

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A proven legacy of education, consistency, and real-world impact.

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The Complete Full-Stack AI Toolchain

Build, connect, and deploy full-stack Generative AI systems using modern tools.

HTML & CSS

Build clean, responsive interfaces for AI apps.

Tailwind CSS

Design fast, modern UIs with utility-first styling.

JavaScript

Power interactions and frontend AI logic.

Python

Core language behind AI logic and workflows.

OpenAI & Gemini

Integrate powerful LLMs via APIs.

LangChain

Connect prompts, tools, memory, and logic.

LangGraph

Build state-driven AI agents.

Git & GitHub

Version control and collaboration.

FastAPI

High-performance backend APIs.

Vector Databases

Semantic memory for AI systems.

RAG & MCP

Context-aware, controlled AI responses.

Deployment

Ship AI systems to production.

Streamlit

Build interactive AI dashboards and data apps quickly.

MySQL Database

Store, manage, and query structured application data.

Prompt Engineering

Design effective prompts for reliable AI outputs.

AI Agents

Autonomous agents with tools, memory, and workflows.

The Native Language of
Artificial Intelligence

Python has become the universal interface for modern AI development. Its clean syntax and vast ecosystem make it the preferred choice for engineers building intelligent systems.

In this program, Python is treated as a control layer — orchestrating models, data, tools, and real-world workflows.

Mastering Python unlocks the ability to integrate AI into applications, pipelines, and automation with confidence.

            
        from openai import OpenAI
        client = OpenAI()

        # Create OpenAI client
          response = client.responses.create(
       model="gpt-5.2",
        input=
        "Write a short bedtime story about a unicorn."
        
        )

    print(response.output_text)

Build Full-Stack AI Products — Not Just Demos

Go beyond scripts and notebooks. Design, develop, and deploy complete AI-powered applications with frontend, backend, and intelligent systems working together.

AI-Powered Assistants

Build conversational agents that retain context, manage sessions, and act on user intent.

Prompt-Driven Applications

Design software that generates content, code, and insights directly from natural language prompts.

Intelligent Automation

Automate workflows where AI makes decisions and triggers actions across APIs and systems.

Knowledge Retrieval (RAG)

Build systems that read your documents and answer questions using Retrieval-Augmented Generation.

Built for the Next-Generation Tech Builder

This program is designed for learners who want to build complete, production-ready applications — from frontend interfaces to AI-powered backend systems.

Full-Stack Developers

Learn how to integrate Generative AI into real products using frontend, backend, APIs, and production workflows.

Engineering & CS Students

Build strong AI-powered projects that improve placements, internships, and real-world readiness.

Data & AI Professionals

Move beyond notebooks and models to build scalable LLM, RAG, and agent-based AI systems.

Career Switchers

Transition into high-growth AI and full-stack roles with a strong, production-ready project portfolio.

A Structured Path to Full-Stack AI Mastery

From frontend interfaces to intelligent AI systems — learn, build, and deploy production-ready applications with confidence.

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Frontend & UI Foundations

Build modern, responsive user interfaces using HTML, CSS, Tailwind, and JavaScript — the frontend layer where users interact with AI-powered products.

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Practical Full-Stack Exposure

Every concept is paired with real coding — from frontend interactions to backend logic and AI-driven workflows using Python.

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Step-by-Step AI Systems

Advanced topics like LLMs, embeddings, agents, RAG pipelines, and API integration are broken into clear, logical stages.

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Industry-Ready Full-Stack Skills

Focus on real-world concerns like frontend performance, backend scalability, AI cost optimization, deployment, and production reliability.

Future-Proof Your Engineering Skills

The landscape of software development is evolving. This program offers a clear, structured pathway to understanding and utilizing Generative AI. If you are ready to invest in your professional growth, we invite you to join us.

🤖 Generative AI using Python • Flagship Program

Generative AI using Python Batch Enrollment Open

Master Generative AI using Python from core Python foundations to building real-world AI systems using LLMs, APIs, prompt engineering, automation and production-ready workflows.

📅 Starts 25 February

⏰ 10:00 PM IST

🌐 Online • Live Interactive Classes

Reserve your seat in Generative AI using Python

Learn Python, AI foundations, LLMs, prompt engineering, APIs, automation & real-world AI projects — all in one structured program.

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Trusted by 4 Lakhs+ students since 1998 • SCALive