Remote Work Programme Course

Eligibility Criteria:

Minimum High School Certificate or equivalent is ideal but not required
Basic computer literacy (students without prior knowledge will undergo a foundational digital skills module).

Credits: N/A.

Duration: 40 hours per module.

Course Overview

Equip students with critical Fourth Industrial Revolution skills such as software development, data science, and cybersecurity.
Enable proficiency in remote collaboration tools like Slack, Zoom, and Google Meet for remote work environments.
Foster essential soft skills for global communication, time management, and cross-cultural teamwork.
Prepare students to succeed in international freelancing markets and corporate remote roles.

COURSE CODE	COURSE NAME
MODULE 1: GENERATIVE AI
	Introduction to AI
	Machine Learning Fundamentals
	Generative AI Foundations
	Ethics in AI
	Tools and Frameworks
MODULE 2: SOFTWARE DEVELOPMENT & ENGINEERING
	Programming Languages: Python, JavaScript, Java
	Frameworks: React, Django
	Version Control: Git and GitHub
	Software Development Life Cycle (SDLC)
MODULE 3: DATA SCIENCE & MACHINE LEARNING
	Data Analytics: SQL, Excel, Tableau
	Machine Learning: TensorFlow, Scikit-learn
	Data Visualization: Matplotlib, Seaborn
	Capstone Project: Build a machine learning model
MODULE 4: CLOUD COMPUTING
	Cloud Platforms: AWS, Microsoft Azure, Google Cloud
	Cloud Security Best Practices
	DevOps Basics: CI/CD pipelines
	Capstone Project: Deploying an application on the cloud
MODULE 5: PROFESSIONAL SKILLS FOR REMOTE WORK
	Remote Collaboration Tools: Slack, Microsoft Teams, Zoom, Asana
	Freelancing Skills: Building portfolios, bidding on projects
	Soft Skills: Time management, cross-cultural communication, video meeting etiquette
	Career Development: LinkedIn optimization, job platform navigation

Gender MaleFemale

Physical Address

Upload your national ID below

Date of birth

How did you hear about Cavendish University

Your message/questions