Professional Diploma

Diploma in Full Stack Software Engineering using Python Integrating AI

Full Stack Software Engineering with Python and AI empowers developers to build intelligent, end-to-end applications. Python’s versatility combined with frameworks like Django or Flask for backend, and AI tools for features like predictive analytics, chatbots, and automation, enables the creation of smart, scalable, and interactive applications.

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What You'll Learn

Build complete web applications using Python frameworks like Django and Flask.
Develop both frontend and backend, managing databases, servers, and APIs.
Integrate AI features such as chatbots, predictive analytics, and automation into applications.
Apply machine learning models to make applications smarter and data-driven.
Optimize performance, security, and user experience in real-world projects.

Course Curriculum

  • Front End with React (HTML, CSS, JS, jQuery, Bootstrap, React)
  • Git & Git Hub
  • Front end project

  • MySQL
  • Python
  • Rest API
  • Mastering PostgreSQL
  • Software Development using Django
  • Django Rest Framework API
  • Software Testing & Deployment

  • Any Local & International Companies
  • IT Firms
  • Software Development Firms
  • Mastering PostgreSQL
  • Software Development using Django
  • Django Rest Framework API
  • Software Testing & Deployment

  • 1 year

Meet Your Instructors

Who is this for?

Intended Learners
Requirements

Frequently Asked Questions

It’s the practice of developing both frontend and backend of applications using Python-based frameworks, allowing developers to create complete, functional web or software solutions.

AI can be embedded into Python applications through libraries and APIs for machine learning, natural language processing, and predictive analytics, adding intelligence and automation.

Basic AI knowledge helps, but developers can leverage pre-built AI models and APIs to integrate smart features without deep AI expertise.

৳ 90,800.00

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Course Features
  • Class Starting: September
  • Course Duration: 1 Year
  • Class Duration: 2 Hour (Online & Offline-Morning Shift)
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