AI-Integrated Django – Advanced Course

This 4-month in-depth program prepares the trainees to develop enterprise-grade applications using Django and AI-driven development. From this course, the learners gain hands-on expertise in scalable backend systems, automation, data handling, and deployment strategies.

4 Months
Online / offline

Why choose Cronus Consultants to learn the AI-integrated Django Course?

At Cronus Consultants, mentors guide candidates in building robust backend systems using Django, integrated with AI-assisted development. Learners are trained in hands-on coding, receive architecture guidance, and participate in real-world projects to build technical confidence and achieve their professional development goals.

Curriculum Overview

Download Syllabus

Python Programming Fundamentals: Covers core Python concepts, data structures, and object-oriented programming (OOP).
Web Fundamentals: Introduction to HTML, CSS, JavaScript, and HTTP protocols.
Version Control: Basic use of Git and GitHub for project management.

Project and App Structure: Setting up the development environment, virtual environments, and understanding Django's architecture (MVC/MTV).
Models, Databases, and ORM: Creating models, performing database migrations, and interacting with data using Django's Object-Relational Mapper (ORM) and SQLite/PostgreSQL.
Views and URLs: Defining application logic in views and mapping them to specific URLs.
Templates and Static Files: Rendering HTML using Django templates, managing static CSS/JS files, and using template inheritance.
Admin Interface: Customizing and utilizing the built-in Django admin panel for managing data.
Forms and User Authentication: Handling user input with Django forms and implementing authentication systems (login/logout, user roles).

AI-Powered Development Tools: Using AI assistants like GitHub Copilot or Claude AI for code generation, debugging, and explaining errors.
Integrating AI Functionality: Learning how to integrate external AI APIs (e.g., OpenAI APIs) into a Django application.
Building AI Features: Topics might include basic implementations of AI features like search functionality or data analysis with libraries such as NumPy and Pandas.

Develop full-stack Django AI applications.
Deploy apps on scalable cloud platforms.
Use cloud systems to store and manage data.
Showcase projects via live app deployments.

Key Features

REST APIs

Use Django REST Framework to develop REST APIs.

User login

Implement system authentication and user management.

AI features integration

Integrate machine learning models into Django apps.

Live app deployment

Deploy Django applications on cloud platforms.

Who can pursue this course?

BBA B.A. B.Sc (Computer Science) M.Sc (Computer Science) B.TECH M.TECH Commerce MBA

      
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