Undergraduate Diploma in Artificial Intelligence

The Undergraduate Diploma in Artificial Intelligence is an entry-to-intermediate level program designed to provide students with a strong foundation in AI concepts, tools, and applications. This program introduces the fundamentals of machine learning, neural networks, computer vision, and natural language processing, while also covering essential programming and data analysis skills. Students will gain hands-on experience through projects, case studies, and applied exercises, preparing them for both further studies and entry-level roles in the AI field.

Course Duration
The Undergraduate Diploma spans 12 months (1 year), including coursework, lab sessions, and a final applied project.

Program Format: Online, Hybrid, or On-Campus

Admission Requirements

• Academic Qualifications: Completion of high school (or equivalent). A background in mathematics, statistics, or computer science is advantageous but not mandatory.

• Transcripts: Official high school transcripts or equivalent certification.

• Statement of Purpose: A short essay explaining interest in AI and career aspirations.

• Resume/Curriculum Vitae (Optional): For applicants with any prior technical or work experience.

• English Proficiency: IELTS/TOEFL or equivalent if prior education was not in English.

Career Outcomes
Graduates of the Undergraduate Diploma in AI will be prepared for entry-level technical and support roles, including:

• AI Technician: Assisting in the implementation and testing of AI models.

• Data Analyst (AI-focused): Supporting data cleaning, visualization, and basic predictive modeling.

• AI Support Specialist: Providing technical assistance for AI systems and tools.

• Junior Machine Learning Assistant: Assisting ML engineers in model preparation and evaluation.

• AI Research Assistant: Supporting academic or industry projects in AI.

• Further Studies: Progression into a Bachelor’s degree or professional certification in AI, Data Science, or Computer Science.

Program Benefits

• Solid Foundation: Build essential knowledge in programming, data, and AI principles.

• Hands-On Learning: Practical labs and projects using real-world datasets and tools.

• Pathway to Higher Education: Credits may be transferred to advanced AI or Computer Science degree programs.

• Industry-Relevant Skills: Learn the basics of AI applications, preparing for entry-level opportunities.

• Flexible Learning: Choose online, hybrid, or on-campus study modes.

• Guidance & Mentorship: Support from experienced faculty and industry practitioners.

Core Courses

• Introduction to Artificial Intelligence: Overview of AI history, applications, and fundamentals.

• Programming for AI (Python): Basic programming concepts, libraries, and tools used in AI.

• Data Analysis & Visualization: Techniques for handling, analyzing, and visualizing data.

• Machine Learning Fundamentals: Introduction to supervised and unsupervised learning.

• Neural Networks Basics: Simple neural architectures and their applications.

• Natural Language Processing Fundamentals: Basics of text analysis and language-based AI.

• Computer Vision Fundamentals: Introduction to image processing and recognition tasks.

• AI Ethics & Society: Exploring the impact and responsibilities of AI in real-world contexts.

• Capstone Project: A final applied project demonstrating AI knowledge on a real-world challenge.

Achievements of this Program

• Practical Competence: Hands-on skills in AI programming, data analysis, and basic model development.

• Career Readiness: Preparation for technical support and junior-level roles in AI-related fields.

• Foundation for Further Study: Strong academic basis for pursuing Bachelor’s degrees or advanced certifications.

• Innovation Mindset: Ability to explore and apply AI to real-world problems.

• Global Relevance: Curriculum aligned with international AI education standards.

Please visit the admission application to enroll in this program if you believe you are a good fit for the Undergraduate Diploma in Artificial Intelligence.