Research · Development · Training

Engineer the Future with Generative AI

Build real-world AI applications with a six-month, hands-on Software Engineering for Generative AI program from NibbleSoft Advanced Computing Lab.

Learn the tools, programming languages, frameworks, and engineering practices needed to build robust, reliable, production-oriented AI software.

For CS and related engineering graduates, and MCA graduates.

Featured Training Program

Software Engineering for Generative AI

Six-month program

A comprehensive, practical learning experience.

Industry-aligned curriculum

Modern tools and established software engineering practices.

Build real AI applications

Develop a project addressing a real-world challenge.

Focused on building AI-powered software, not training or fine-tuning AI models.

Course Outline

A Complete Software Engineering Toolkit for Generative AI

Learn the development tools, programming languages, application frameworks, and AI engineering concepts required to build modern AI-powered software.

01 / Foundations

Software Engineering Tools
Set up a productive development environment and learn essential engineering workflows.
  • Shell Programming
  • Docker & Container Technologies
  • Git & VS Code
  • Python & Jupyter
  • Node.js & NPM

02 / Development

Software Technologies
Build application backends, frontend interfaces, APIs, and data storage layers.
  • Advanced Python
  • FastAPI
  • Golang
  • PostgreSQL / SQLite
  • TypeScript
  • React
  • Tailwind CSS / Astro
  • Redis

03 / AI Engineering

Generative AI
Learn the building blocks for developing, evaluating, and improving AI-powered applications.
  • Generative AI
  • LangChain
  • Vector Databases
  • Retrieval-Augmented Generation (RAG)
  • Evaluation
  • Guardrails
  • Long-term Memory
  • Regulations

The emphasis is on software engineering.

This course focuses on applying large language models to real-world problems and building robust AI software. It does not cover AI model development or fine-tuning.

Our Approach

From concepts to real-world AI solutions

Learning extends beyond theory. Students gain practical experience through laboratory work, project development, and research activities guided by industry professionals.

The goal is to understand how the pieces of a real software system fit together, from APIs and databases to retrieval, evaluation, and application reliability.

01

Practical laboratory work

Work with programming tools, frameworks, databases, and modern development environments.

02

Generative AI application development

Integrate language models into applications using retrieval, evaluation, guardrails, and memory concepts.

03

Real-world project

Develop a Generative AI application that addresses a practical challenge and brings together the technologies covered in the program.

The Program

Learn by building

A practical path from engineering foundations to a working Generative AI application.

06months

Comprehensive Program
A structured learning journey covering the software engineering foundations of Generative AI.

100%practical

Hands-on Learning
Build skills through laboratory exercises, application development, and research activities.

01project

Real-world Application
Apply your learning to develop a Generative AI application that addresses a real-world challenge.

Admissions

Who can apply?
The program is intended for graduates with a computing or related technical background.

  • B.Tech in Computer Science

    Computer Science or related fields.

  • MCA

    Master of Computer Applications.

Recognition

Generative AI Certification
Demonstrate your learning through practical application development.

Upon successful completion of the course, NibbleSoft will issue a Generative AI Certification.

Learn. Build. Apply.

Develop practical skills in modern software engineering and Generative AI application development.

info@nibblesoft.in+91 94007 58349

About NibbleSoft

Advanced Computing Lab

NibbleSoft Advanced Computing Lab offers cutting-edge research, development, and training in Artificial Intelligence, cloud computing, and large-scale distributed systems.

Our training approach connects software engineering fundamentals with modern AI technologies, helping learners understand how to design, develop, evaluate, and improve reliable AI-powered applications.

Artificial Intelligence
Engineering intelligent applications using large language models and Generative AI technologies.
Cloud Computing
Explore modern infrastructure, container technologies, and practical approaches to deploying software.
Distributed Systems
Understand the software engineering principles behind scalable, interconnected applications.