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GITB LEAD Software Development Course Graphics

Software Development Course

Course Overview

The GITB LEAD Software Development Course is a comprehensive training program designed to equip individuals with the skills and knowledge required to design and build web applications from scratch. With a focus on industry-standard tools and best practices, the course is suitable for beginners and those looking to enhance their existing skills. Our highly affordable program is designed to prepare participants for careers in web development and is ideal for those seeking to join internal development departments or consulting and software companies in the web area.

16 Weeks (4 Months) + 3 Months Project
Ghc 100.00
Ghc 2500.00


Introduction To Programming Fundamentals

  • Introduction to programming concepts and problem-solving techniques
  • Fundamentals of Python programming language
  • Data types, variables, operators, and control structures
  • Functions, modules, and packages
  • Input/output operations and file handling
  • Object-oriented programming concepts
  • Introduction to version control with Git and GitHub

Module 1 Objectives

  • Become competent in the use of problem-solving techniques
  • Develop competence in writing computer code that works using Python.
  • Build confidence in version control by learning to create repositories, both public and private, and to collaborate on other projects with others.

MODULE 2: Web Development with Django

  • Introduction to web development with the Django framework.
  • Model-View-Controller (MVC) architecture.
  • Agile development methodologies
  • Building static and dynamic web pages using HTML, CSS, and JavaScript.
  • Creating and using Django models, views, templates, and forms
  • Django ORM and database management
  • User authentication and authorization.
  • RESTful API development using the Django REST framework.
  • Deployment of Django applications on cloud platforms.

Module 2 Objectives:

  • Understanding of web development basics: Students will gain a solid understanding of web development concepts, including HTML, CSS, JavaScript, and web servers.
  • Introduction to Django: Students will learn about Django, a popular web framework used for developing web applications, and its key features such as URL routing, templates, and views.
  • MVC architecture: Students will learn about the Model-View-Controller (MVC) architecture, which is a common design pattern used in web development to separate the application into three interconnected components: the model, the view, and the controller.
  • Agile development methodologies: Students will learn about agile development methodologies, which involve iterative and collaborative approaches to software development. This will include an understanding of agile principles such as continuous delivery, user involvement, and frequent feedback.
  • Building a web application: Students will work on building a web application using Django and the MVC architecture, implementing agile development methodologies, and utilizing version control with Git.

MODULE 3: Advanced topics in Django

  • Software testing and debugging techniques
  • Agile software development methodologies
  • Collaborative software development using GitHub
  • Introduction to machine learning and data science with Python

Module 3 Objectives:

  • Understanding of software testing and debugging: Students will learn the fundamentals of software testing and debugging techniques to identify, isolate, and fix bugs in software applications.
  • Introduction to agile software development: Students will be introduced to agile software development methodologies such as Scrum and Kanban. They will understand the importance of collaboration, feedback, and iteration in agile development.
  • Collaborative software development using GitHub: Students will learn how to use Git and GitHub, a popular version control system, for collaborative software development. This will include an understanding of Git workflows, pull requests, and merge conflicts.
  • Introduction to machine learning and data science with Python: Students will be introduced to machine learning and data science with the Python programming language. They will learn about Python's libraries, such as NumPy, Pandas, Matplotlib, and Scikit-learn, for data manipulation, visualization, and machine learning tasks.
  • Building and testing software applications: Students will gain practical experience in software development, including building and testing software applications using agile methodologies, software testing and debugging techniques, and GitHub for collaboration.
  • Machine learning and data science projects: Students will work on projects that involve data analysis, machine learning algorithms, and data visualization. They will gain practical experience in applying machine learning and data science techniques to real-world problems.
Module Objectives
  1. Students will be able to determine which development method to use per requirement.
  2. Will be able to gather requirements, draw software development budgets, and perform all levels of testing and iterations.
  3. Design the software based on requirements, build the software using programming skills.
  4. Document the software (technical writing ), and
  5. Prepare the software for deployment or package for the client.
Beginner, Intermediate, Advance
  1. Students must have programming skills
    Critical thinking skills are an added advantage.
  2. Must possess and have access to a good laptop or personal computer and Internet connection.
  3. Skilled in using Ms Word or any documentation tool.
Online/Offline (Hybrid)
Monday, Wednesday, Friday
2 to 3 installment payment schedule
Videos, PDFs, Lecture Notes


I am Sherita Fansey, a dedicated student at Genius IT Brainery, having recently completed the six-week Computer Basics course. My journey with Genius IT Brainery has been transformative, enhancing my

Fiawoli Mawusi

I highly recommend Genius IT Brainery for its holistic approach to education, fostering competence and problem-solving skills. Access to resources, like computers, ensures inclusivity.

Sabrah Delali Ama

Beyond technical skills, the institution instilled the values of hard work, discipline, and consistency. Improved proficiency in Microsoft Word, Excel, and PowerPoint, along with enhanced Python skills, reflected my growth.

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