AI and Machine Learning for Transforming Businesses (Online)

Program Overview

This 12-week online program from UCPD, Teesside University, provides a comprehensive understanding of AI and machine learning principles, methods, and tools. It targets individuals seeking career advancement, skill development, or knowledge refreshment in AI and ML. The program emphasizes business data analysis, decision-making, and prediction techniques, preparing learners for roles in business analytics, data science, and AI development.

Program Outline

AI and Machine Learning for Transforming Businesses (Online) - UCPD, Teesside University

Degree Overview:

• Objective: This program aims to provide learners with a thorough understanding of AI and machine learning principles, methods, algorithms, and tools, equipping them with the knowledge and skills sought after in modern businesses.
• Target audience: This program caters to individuals including:
• School/college leavers exploring career paths.
• Unemployed individuals seeking skill development for improved employability.
• Teachers seeking knowledge refreshment or new skill acquisition.
• Working professionals looking to enhance their skillset.
• Individuals returning to education after a break.
• Current higher education students seeking additional skillsets.
• Outcomes: This program focuses on the following aspects of AI and machine learning:
• Business data analysis and decision-making transformation through AI and ML.
• Key principles, concepts, methods, algorithms, techniques, and tools.
• Predictions on unseen data, business forecasting, and data-driven decision making.

Outline:

• Duration: 12 weeks.
• Delivery format: 100% online.
• Content:
• Key AI and ML principles, concepts, methods, and algorithms.
• Techniques and tools used in AI and ML applications.
• Business forecasting and decision making using data analysis.
• Prediction techniques for unseen data.
• Schedule:
• Weeks 1-10:
• One-hour recorded online lecture per week.
• Two hours of online classes (Wednesdays, 4:00 PM - 6:00 PM).
• Two hours of online classes (Thursdays, 6:00 PM - 8:00 PM).
• Weeks 11-12:
• Two hours of synchronous online classes (Thursdays, 6:00 PM - 8:00 PM).
• Structure:
• The program is divided into modules, each focusing on specific areas of AI and ML.
• Individual Modules:
• Unfortunately, the context does not provide details about individual modules.

Assessment:

• The program utilizes a variety of assessment methods to evaluate subject knowledge, critical thinking, and skill development.
These methods may include:
• Coursework assignments.
• Practical exercises.
• Assessments.

Teaching:

• Teaching methods:
• The program employs various teaching methods including recorded online lectures, live online sessions, and self-paced learning modules.
• Online classes allow for live interaction with the instructor and classmates.
• Faculty:
• Information regarding faculty is not available in the context.

Careers:

• The program aims to equip learners with skills and knowledge sought after by employers, enhancing career prospects and preparing them for various roles in sectors like:
• Business analytics.
• Data science.
• Machine learning engineering.
• AI development.

Other:

• Funding: This program is funded by the government, potentially providing financial support to eligible learners.
• Study support: Bursaries are available to assist learners in overcoming barriers to participation in this course.

Please note:

• This information is based on the provided context.
• Some sections (Degree Overview, Outline) have limited information in the context.