Technology pathway

With Our Easy-to-Take Technology Pathway Course, You Can Unlock Your Future in Technology

This online course, hosted on Canvas, follows a structured timeline with weekly modules that feature:

• Engaging lessons

• Hands-on exercises

• Real-world applications

• Discussions with facilitators

Students can choose from Technology Pathway 101 or 102 depending on their interest. Both culminate in a capstone project, where students apply their skills to tackle a practical challenge. No prior experience is required—students receive guided support, instructor feedback, and valuable resources to build confidence and prepare for future academic and career opportunities in technology.

Technology Pathway 101:

Introduction to Technology 

1. Key Topics 

•  Digital Literacy and Computer Basics 

•  Cybersecurity Fundamentals 

•  Python Programming Foundations 

•  Web Development (HTML, CSS, JavaScript) 

•  Databases and SQL 

•  Capstone: Building a Secure Auth App 

2. Skills & Competencies Developed 

• Digital Fluency: Navigate, evaluate, and use digital tools responsibly. 

• Cyber Awareness: Identify online risks, apply safe practices, and understand data security basics. 

• Programming Logic: Develop problem-solving skills using Python. 

• Web Design: Build structured, styled, and interactive web pages. 

• Data Management: Understand database concepts and create basic SQL queries. 

• Professional Practices: Apply documentation, version control, testing, and accessibility standards. 

3. Career & Degree Connections 

• Career Connections: Prepares students for entry-level roles in IT Support, Web Development, Data Analysis, and Cybersecurity Fundamentals. 

• Sample Roles: IT Support Technician, Junior Web Developer, Data Entry/Database Assistant, Cybersecurity Analyst Intern. 

• Ideal Students: Curious about how computers, apps, and websites work; enjoys hands-on learning and problem-solving. 

Technology Pathway 102:

Exploring Emerging Technologies 

1. Key Topics 

• Data Analytics and Visualization 

• Cloud Computing (IaaS, PaaS, SaaS) 

• Artificial Intelligence and Machine Learning 

• Networking Fundamentals 

• Ethics and Social Responsibility in Technology 

• Capstone: Secure Login Application (Tkinter + SQLite) 

2. Skills & Competencies Developed 

• Analytical Thinking: Clean, analyze, and visualize data to support decisions. 

• Cloud Literacy: Understand cloud computing concepts, service models, and use cases. 

• AI/ML Foundations: Grasp core AI/ML concepts, applications, and ethics. 

• Networking Proficiency: Explain how data moves across networks and key protocols. 

• Ethical Reasoning: Evaluate ethical and social impacts of technology. 

• Software Development: Integrate coding, database, and cybersecurity skills to build secure apps. 

3. Career & Degree Connections 

• Career Connections: Connects course learning to fields like Data Analytics, Cloud Engineering, AI/ML Development, and Network Administration. 

• Sample Roles: Junior Data Analyst, Cloud Support Associate, AI/ML Research Intern, Network Technician, IT Ethics & Compliance Assistant. 

• Ideal Students: Curious about emerging technologies, enjoys experimentation, and motivated to use technology responsibly and ethically. 

Don't miss this opportunity to enroll and start your learning journey!