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LLM Apps Development

Build in-demand skills with structured lessons, hands-on practice, and expert support.

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Level
Intermediate
Duration
3 Months
Lecture Hours
45+ Hours
Projects
25+ Problems
Language
Hindi & English

🎯 Course Highlights

HD Video Lectures
Industry Certificate
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3231+ Students already enrolled

Course
Gain insight into a topic and learn the fundamentals

Intermediate level
Recommended experience
3 Months (approximately)
Flexible schedule
Learn at your own pace

Learning outcomes

What you'll learn

By the end of this course, you’ll have practical skills you can use right away.

You will understand the fundamentals of Large Language Models and their application in software development.
Learn to design and implement user interfaces for AI applications using modern UI development techniques.
You will build RESTful APIs with FastAPI to serve LLM-powered functionalities.
Learn to integrate LLMs with external data sources using Retrieval-Augmented Generation (RAG) techniques.
You will develop end-to-end AI applications that are scalable and user-friendly.
Learn to fine-tune and customize LLMs to suit specific application requirements.
You will implement best practices for deploying AI applications in production environments.
Learn to troubleshoot and optimize the performance of LLM-based applications.
You will collaborate on projects that combine Python programming, UI development, and AI integration.
Learn to evaluate and improve the effectiveness of LLM-powered solutions.

Skills you'll gain

Python
UI Development
Fast API
LLM
RAG

In the LLM Apps Development course, you will explore the process of designing, building, and deploying intelligent applications powered by Large Language Models (LLMs). This intermediate-level course bridges the gap between theoretical understanding and practical implementation, equipping you with the skills to create innovative AI-driven solutions. You'll learn how to leverage Python, modern UI development techniques, and frameworks like FastAPI to develop robust applications that incorporate LLMs effectively.

Throughout this course, you will delve into advanced concepts such as Retrieval-Augmented Generation (RAG) and integrated AI workflows, enabling you to enhance LLM capabilities with external data sources. Whether you're aiming to develop chatbots, knowledge bases, or automation tools, this course provides hands-on experience and strategic insights to advance your AI application development skills. By the end, you'll be able to create scalable, user-friendly AI applications tailored to real-world needs.

How will your training work?

Learn concepts

Learn concepts

Go through training videos to learn concepts

Test yourself

Test yourself

Test your knowledge through quizzes & module tests at regular intervals

Hands-on practice

Hands-on practice

Work on assignments and projects. Use our in-browser IDE for coding practice

1:1 doubt solving

1:1 doubt solving

Get your doubts solved by experts through Q&A forum within 24 hours

Take final exam

Take final exam

Complete your training by taking the final exam

Get certified

Get certified

Get certified upon successful completion of training

1:1 support

Get your doubts resolved

Stuck on a concept? Our experts are here to help. Ask your doubt, get a clear explanation, and keep learning with confidence.

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How it works

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Expert picks it up

A mentor or expert reviews your doubt and gets back to you—usually within 24 hours.

3

Clear explanation

Get a clear, step-by-step answer. For tougher doubts, book a live 1:1 session with a mentor.

4

Keep learning

Once your doubt is cleared, continue the course with full clarity and confidence.

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Course Curriculum

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