Diploma in Software Development with AI

The Diploma in Software Development with AI trains you to design, build, and deploy modern software and intelligent web applications.

You learn programming using Python and JavaScript. You gain strong skills in full-stack web development, database design, RESTful API development, and cloud-based application deployment. You also learn how to analyze and work with data to support smart business solutions.

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Program Highlights

  • Course Module : Diploma Programs
  • Duration : 12 Months
  • Format : Hybrid (Online/ In- person)
  • Center : All centers

Introduction

The Diploma in Software Development with AI trains you to design, build, and deploy modern software and intelligent web applications.

You learn programming using Python and JavaScript. You gain strong skills in full-stack web development, database design, RESTful API development, and cloud-based application deployment. You also learn how to analyze and work with data to support smart business solutions.

The program integrates Generative AI and advanced prompt engineering to help you automate tasks, improve development speed, and build AI-powered applications. You learn how to create smart web apps, automate workflows, and integrate AI into real business systems.

You work on practical projects that reflect real industry needs. You graduate with hands-on experience, strong problem-solving skills, and the confidence to work as a software developer, web developer, or AI-enabled application developer.

Start building the future with skills that combine software development and Artificial Intelligence.

Course Objectives

  • Build strong programming foundations using Python, JavaScript, C, and C++
  • Train students to design and develop full-stack web applications using modern frameworks
  • Equip learners with database design, SQL querying, and backend API development skills
  • Integrate Generative AI and prompt engineering into real development workflows
  • Enable students to deploy secure, scalable, and AI-enabled applications to real environments
  • Strengthen problem-solving through data structures, algorithms, and software architecture principles

Tools You'll Master

  • Programming Languages: Python, JavaScript, C, C++
  • Frontend: HTML5, CSS3, React, Bootstrap
  • Backend: Node.js, Express.js
  • Databases: MySQL, MongoDB
  • Version Control: Git and GitHub
  • AI Integration: OpenAI API, Hugging Face API
  • Other Tools: Postman, Microsoft Office Suite, Teams

Learning Outcomes

Upon completion of this diploma program, you will be able to:

  • Learn Generative AI concepts and how to apply AI in real-world development tasks
  • Develop advanced prompt engineering skills to control and optimize AI outputs
  • Mastery of HTML5, CSS3, and JavaScript, and tools commonly used by web page coders
  • Front-end and back-end application framework expertise
  • Improve your problem-solving and logic-building skills by learning about Data Structures and Algorithms
  • Use the Restful API to communicate with the client server
  • Database management foundation and SQL programming proficiency
  • Master React concepts to become a successful client-side application developer
  • Integrate experimentation practice by learning how to structure and implement software testing
  • Acquire a strong foundational skill in Office applications, Programming Logics, Web Design, Web Development
  • Build AI-powered applications and automate business and user workflows by building AI embedded solutions
  • Apply responsible and ethical AI principles by ensuring fairness, transparency, accountability, and safe real-world deployment

Target Audience

This diploma program is ideal for:

  • Senior High School graduates seeking a career in software development
  • University students who want practical full-stack skills
  • Entrepreneurs building digital products
  • Career switchers entering tech
  • Anyone interested in AI-powered software development

Career Opportunities

  • Junior Programmer
  • Software Developer
  • Full-stack Developer
  • Junior Full-stack Engineer
  • Program Analyst
  • Web Developer
  • Frontend Developer
  • AI-Enabled Application Developer
  • Backend Developer

Course Content

The 12-month diploma program is divided into 4 semesters with comprehensive modules covering Microsoft Office, AI fundamentals, programming, databases, and full-stack web development.

SEMESTER 1 - Module 1: Microsoft Office & AI Fundamentals â–¼
1. Microsoft Word – Professional Documentation
  • Document formatting and layout control
  • Headers, footers, page breaks, columns
  • Styles, templates, and document branding
  • Track Changes and collaborative review
  • Mail Merge automation
  • Table of Contents, citations, indexing
  • Document protection and form controls
  • Business document development: Proposals, Contracts, Reports, Invoices, Corporate letters
2. PowerPoint – Presentation & Visual Communication
  • Storyboarding and slide planning
  • Visual hierarchy and layout systems
  • Typography and color theory
  • SmartArt and infographic creation
  • Data visualization with charts
  • Slide Master and theme design
  • Animations and presenter modes
  • Export and distribution formats
3. Excel – Data, Analysis & Financial Modeling
  • Cell referencing and core formulas: SUM, IF, COUNTIF, VLOOKUP
  • Data validation and dropdown systems
  • Data Handling: Structured vs unstructured data
  • Power Query for cleaning and transformation
  • Logical functions and error handling
  • Scenario Manager and Goal Seek
  • Statistical analysis: Correlation and variance
  • Financial Modeling: NPV, IRR, Profit and loss analysis
  • KPI dashboards and interactive filters
  • Automation with Macros and VBA basics
4. Microsoft Teams – Collaboration & Communication
  • Private chat vs team posts
  • Scheduled messages and video messaging
  • Channel management and meetings
  • Screen sharing and PowerPoint Live
  • Live captions and translation
  • OneDrive integration and shared workspaces
5. AI & Machine Learning Fundamentals
  • Types of AI: Supervised vs unsupervised learning
  • Data training lifecycle
  • NLP fundamentals: Tokenization and sentiment analysis
6. ChatGPT & Prompt Engineering
  • Persona-based prompting
  • Zero-shot and few-shot prompting
  • Chain-of-thought reasoning
  • Memory and token management
  • Multi-step conversation design
  • Study aids and flashcards
7. AI Image Generation
  • Prompt structuring for visuals
  • Style transfer and branding alignment
  • Campaign poster creation
8. Automation & Smart Workflows
  • Zapier
  • Make automation
  • Notion AI integration
SEMESTER 1 - Module 2: Software Development Foundations & Python Programming â–¼
Fundamentals of OOP
  • Exploring Abstraction, Encapsulation, Polymorphism and Inheritance
Logic Building with Python Programming
  • Learn how to write algorithms in pseudocode and flowchart
  • Understand the modular approach in programming
  • Working with decision making, running loops and calling functions
  • Use dry run method in testing your algorithm
  • Learn the basics of Python and how to use existing modules to analyze data
Object Oriented Programming using Python
  • Handle files, exceptions and JSON files
  • Working with multithreading, Network Programming
  • CGI programming
  • Explore and build mini web apps with Flask
SEMESTER 2 - Module 1: Database Management Systems â–¼
Introduction to RDBMS
  • Introduction to relational database management systems
  • Normalizations and serialization
Creating Database with MySQL
  • Creating tables - applying constraints
  • Inserting data - various methods of retrieving data
  • Deleting tables and records
  • Joining and subqueries
  • Implementing indexes and views - compound statement
  • Functions, Procedures and triggers
Administering SQL Databases
  • Managing User Accounts and Privileges
  • Data backup and restore
Introduction to MongoDB
  • What is MongoDB - Database and Collections
  • Documents Cursors - relation and Aggregation
SEMESTER 2 - Module 2: Introduction to Web Programming â–¼
Web Application Architecture
  • Identify various technologies in making websites
  • Identify the working principles of client and server components
Responsive Website with HTML5, CSS3, & JavaScript
  • Work with HTML tags, div, sections, images, lists, tables, iframes, video and audio
  • CSS Selectors (Classes, IDs, children, pseudo-classes)
  • Box Model, Color, Positioning (Static, Fixed, Relative, Absolute)
  • FlexBox, Media Queries
  • Animations with Keyframes and Transition
  • Introduction to JavaScript: Alerts, console logging, integers, strings, variables
  • Boolean operators, comparing values, if statements
  • while loop, for loops, defining functions
  • Event handling, DOM manipulation
Code Versioning with Git
  • Basic and advanced Git operations
  • Pull request and how to create pull request at GitHub
  • Learn how to perform rebasing and merging of branches
  • Public repositories using forks and pull requests
Working with Frontend Libraries
  • jQuery and Bootstrap
  • Create fluid and responsive layouts
  • Creating forms and choosing great fonts for websites
  • Use jQuery to load dynamic content
  • Animations with jQuery
  • Insert and create new elements
  • Use of AJAX and Get/Post to connect to web API data JSON
SEMESTER 2 - Module 3: Frontend Development with React Framework â–¼
Introduction and Project Initialization
  • Framework deep dive
  • Functional Component vs Class Component
  • State in Functional component
  • Counter functional component
  • Props in class and functional components
  • Previous data in functional component
  • Jsconfig, init layout + styles
  • Style component, Bootstrap
React Hooks
  • use Effect, useState, useContext, useRef
Routing, Authentication and State Management
  • Routing using react router
  • Consuming Restful API with axios and JavaScript fetch API
Introduction to Redux
  • Connect function
  • Dispatch action + simple reducer
  • Add logger to dispatch
  • Redux Promises, Middleware improvements
  • Redux thunk, Caching improvements
  • Enhancers
SEMESTER 2 - Module 4: Backend Development with Node & Express + AI Integration â–¼
Introduction to Node.js
  • Asynchronous Programming
  • Building web application with Express - Routing
  • Restful API and Modules
  • MVC: Deeper understanding of MVC applications with Node.js
Introduction to Generative AI and Prompt Engineering for Coding
  • Creating reusable prompt templates
  • Auto-suggesting patterns, snippets, or microservices architectures
AI Integrated Development and Automation
  • API integration with OpenAI platform
  • API integration with Hugging Face AI platform

Eligibility Requirements

  • For learners who are typically aged 18 and above.
  • For learners who have recently been in education or training for the entry, the profile is likely to include one of th e following.
  • WASSCE: Passes in any three Core Subjects and three elective subjects including (Mathematics, English Language) or its equivalent (SSSCE, O-Level, A-Level, etc.) other related level 3 subjects such as ATHE Level 3 Diploma
  • An Access to Higher Education Certificate delivered by an approved further education institute and validated by an Access Validating Agency
  • Other equivalent international qualifications
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