AI Powered Software Engineer

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About Course

AI এর যুগে চাকরি বাঁচাতে চাইলে ২০২৬ সালের মধ্যে AI অবশ্যই শিখতে হবে। 

Build real software using Python, APIs, and modern full-stack development to create powerful web and mobile applications.

AI Based Professional Software Engineering কোর্সটি এমনভাবে ডিজাইন করা হয়েছে যাতে একজন শিক্ষার্থী modern software development এবং AI-assisted workflow একসাথে শিখতে পারে। এই কোর্সে software engineering এর core concepts, programming, database, API, UI/UX, testing এবং deployment ধাপে ধাপে শেখানো হবে।

কোর্সটি শুধুমাত্র theory based নয়। এখানে real-world approach এ শেখানো হবে কীভাবে Python বা C# ব্যবহার করে web, desktop এবং mobile application তৈরি করতে হয়। পাশাপাশি AI tools ব্যবহার করে development process কীভাবে faster এবং smarter করা যায় তাও শেখানো হবে।

Hands-on practice এবং real project এর মাধ্যমে শিক্ষার্থীরা software idea থেকে শুরু করে complete application build করার বাস্তব অভিজ্ঞতা অর্জন করবে।

Key Features

  • Web, Desktop & Mobile Application Development
  • Software Development Life Cycle (SDLC)
  • Programming using Python or C#
  • Database Engineering & Data Management
  • API Development & RESTful Services
  • Software UI/UX Design & Implementation
  • Git & GitHub for Version Control
  • Software Testing & Deployment Basics
  • AI-assisted development workflow
  • Real-world project development

Career Outcomes

এই কোর্স সম্পন্ন করার পর শিক্ষার্থীরা software development industry তে কাজ করার জন্য strong practical foundation তৈরি করতে পারবে।

  • Software Engineer
  • Backend Developer
  • Web Application Developer
  • Full-Stack Developer
  • AI-assisted Application Developer
  • Freelance Software Developer
  • Startup Product Developer
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What Will You Learn?

  • Business Application
  • Web Application
  • Business Desktop Application
  • AI Business Automated System
  • Smart AI Automated system
  • যে কোন ধরনের Software
  • Software এর Frontend এবং Backend তৈরি
  • Database Engineering শিখতে পারবেন ।
  • Programming শিখতে পারবেন ।

Course Content

AI Soft Eng – Class 01 : By Mahinur Rahaman Hridoy – Environment Setup – 17.06.2026

  • Class 1 : By Mahinur Rahaman Hridoy – Environment Setup – 17.06.2026
    01:44:19

AI Soft Eng – Class 02: by Israfeel Masum – How to use AI + Sample Project – 19.06.2026

AI Soft Eng – Class 3 : By Md. Sajid Chow. – Database Eng. (SQL + Design) – 21.06.2026

AI Soft Eng – Class 4 : By Md. Sajid Chow. – Problem Solving for Database – 24.06.2026

AI Soft Eng – Class 5 By Israfeel Masum : – Project – Contact Managment – 26.06.2026

AI Soft Eng – Class 6 : By Md. Sajid Chow. : – Desktop Project – Full eCommarce + Database – 29.06.2026

AI Soft Eng – Class 07 – Problem Solving – 01.07.2026

AI Soft Eng – Class 08 – Prompt Engineering – 03.07.2026

AI Soft Eng – Class 9 – Problem Solving & Exam Question Discussion – 05.06.2026

AI Soft Eng – Class 10 – 08.07.2026

AI Soft Eng – Mid Term Exam 2026 – 10.07.2026 – At 9:00 PM

AI Soft Eng – Class 11 – About API – 13.07.2026

AI Soft Eng – Class 12 – Advance API – 19.07.2026

AI Soft Eng – Class 13 by Ibrahim – Problem Solving of Vector Database – 23.07.2026

AI Soft Eng – Class 14 – by Mahinur – API + React – 24.07.2026

AI Soft Eng – Class 15 – By Ibrahim – API Connect With React – 25.07.2026

Previously Recorded Classes

1. Overview: Introduction to Software Engineering
Web, Desktop & Mobile Application

2. Software Engineering Fundamentals: Key Concepts to Master
Software Engineering Principal (SDLC)

3. Development Environment Setup: Key Components for Success
Programming Languages (C# & Python)

4. Prompt Engineering for Software: Unlocking the Power of AI
API & Software Development

5. Programming Fundamentals with AI Assistance
Database Engineering

6. Object-Oriented Programming Concepts
Software Design & Implementation (UI/UX)

7. Database Engineering (SQL + Design)
Enterprise Business Automated Software

8. Software Engineering Fundamentals: Key Concepts to Master
Software Testing & Career / Earning

9. Backend API Development (Concepts + Example)
Professional AI Engineering (Next)

10. Web Application Development: Frontend + API Integration

11. Cross-Platform App Development: Mobile + Desktop (Single Codebase)

12. Testing, Deployment & DevOps Basics: Testing, Docker, CI/CD

13. Project Deployment, Career Growth & Earning Potential

14. Professional Al Engineering Overview

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