Advanced Diploma in Software Engineering & Generative AI
- IBM Accredited
- 06 Months Program
- 5 Live + 2 Capstone Projects
- 100% Placement Assistance
- Live Online Classes
Why from KAE Education?
IBM Accredition
Stand Out With IBM Certification
300+ Hiring Partners
300+ Hiring Partner Companies
5 + 2 Live Projects
Live 5 Projects + 2 Capstone Projects with Certifications
Lifetime Access
Lifetime Access of Your Live Class Recordings
Our Hiring Partners
Future of Software Engineering with Generative AI
“In the next 3 years, over 60% of software products will involve Generative AI capabilities.” — Gartner 2025 Tech Report
AI-Assisted Coding: Tools like GitHub Copilot, ChatGPT, and Amazon CodeWhisperer are already accelerating developer productivity by 30–50%.
Rapid Prototyping & App Generation: Developers can now build working app prototypes using AI-powered code generation, reducing time-to-market dramatically.
AI-Powered Debugging & Testing: Generative AI models can detect bugs, suggest improvements, and write unit test cases automatically.
Low-Code/No-Code Integration: Software engineers will collaborate with business users through AI-enhanced platforms to build full-stack solutions faster.
Human-AI Collaboration: Engineers will focus more on architecture, strategy, ethics, and creativity while AI handles repetitive coding tasks.
AI-First Product Design: Products will increasingly be designed with AI at the core — from AI chatbots to intelligent automation systems.
Job roles are evolving, not disappearing — AI is a co-pilot, not a replacement.
New roles like Prompt Engineer, AI App Developer, and AI Solution Architect are emerging.
Software engineers skilled in AI tools will become 10x more productive and in-demand.
Scope of Software Engineering & Generative AI in Different Sectors
AI-assisted coding, testing automation, DevOps optimization, intelligent code documentation
GenAI-powered support bots, multilingual query handling, 24x7 customer engagemen
Personalized learning paths, auto-generated content, AI tutors, question paper generation
Fraud detection, intelligent chatbots, risk modeling, automated financial advisory
AI product recommendations, personalized emails, auto-generated product descriptions, inventory prediction
Content generation, social media captions, video scripts, ad optimization using GenAI
Smart property listing descriptions, virtual tour narration, customer query automation
AI-driven predictive maintenance, smart dashboards, automated reporting and quality checks
Document summarization, contract analysis, legal research through NLP and GenAI
Resume screening, job description generation, HR chatbots, candidate experience personalization
GenAI-powered support bots, multilingual query handling, 24x7 customer engagement
Who Should Join?
Career Job Roles After Advanced Diploma in Software Engineering & Generative AI
Course Modules
Programming with Python (variables, loops, functions, OOP)
Basic data structures (lists, dictionaries, sets, tuples)
Git & GitHub – version control basics
Error handling and file operations
Mini Project: Build a calculator, to-do app, or CLI tool
HTML5, CSS3, Responsive Design
JavaScript & DOM manipulation
React.js for frontend application development
Backend with Node.js or Django (REST APIs)
MySQL/PostgreSQL – Database fundamentals
Mini Project: Build a full-stack blog or job portal
SDLC, Agile, Git Workflow, Code Documentation
Design Patterns & Clean Code Practices
Introduction to DevOps (CI/CD basics)
Deploying apps using Heroku / Render / Netlify
Mini Task: Deploy a full-stack app live
What is AI? ML vs. AI vs. Generative AI
Supervised & unsupervised learning basics
Use cases of AI in software & automation
Tools: Teachable Machine, Scikit-learn preview
Mini Task: ML-powered prediction in a web app
Prompt Engineering (effective communication with AI)
Using ChatGPT for coding, design, content & automation
AI coding assistants (GitHub Copilot)
Working with APIs like OpenAI, Gemini
LangChain & RAG architecture basics
Mini Project: Build an AI chatbot or resume builder
Project 1: AI-powered HR portal / Resume Analyzer
Project 2: Customer Support Chatbot using LangChain
Code reviews, peer feedback & industry-style documentation
Resume building with AI tools
LinkedIn Optimization
Mock interviews (Technical + HR)
Communication & workplace skills
Live project presentation to internal panel
Portfolio creation & GitHub profile polishing
Placement drives & employer connections
Tools You Will Master
Programming & Dev Tools:
Frontend & Backend:
Database Management:
Generative AI & ML Tools:
Visualization & Productivity:
Cloud & Deployment:
Sample Certificate
Media Recognition
Live Class Videos
Frequently Asked Questions
No. The course is designed from scratch — even non-coders can start and succeed with the right dedication.
Yes. We provide soft skills training, mock interviews, resume support, and conduct placement drives with hiring partners.
You'll learn Python, Git, HTML, CSS, JavaScript, React, Node.js/Django, SQL, ChatGPT, OpenAI API, LangChain, GitHub Copilot, and more.
All sessions are live online, and you also get recorded access for revision or missed classes.
Absolutely. Every module includes hands-on mini projects, and you’ll complete 2 capstone projects to showcase your skills.
It is an industry-recognized diploma by KAE Education — ideal for job readiness. While it’s IBM accredited, it’s valued for skill-based hiring.
Yes! The course is structured to suit working professionals and students with evening/weekend sessions.
Next batch Starting12th August, 2025
Tuesday, Thursday & Friday8pm to 10pm03 Days Per Week
