Professional Diploma in Machine Learning and AI

The Professional Diploma in Machine Learning & Artificial Intelligence is designed to provide learners with a strong foundation in AI concepts, machine learning techniques, and data-driven model development. This hands-on programme introduces students to the principles of artificial intelligence, supervised and unsupervised learning, deep learning, and practical model deployment using Python-based tools.

Credit Value: Professional Diploma | Duration: 10 Weeks

This course is available via live online learning or part time, on campus.

Learners will develop expertise across key areas including AI foundations, data analysis, machine learning algorithms, neural networks, deep learning, and predictive modelling, while also building practical skills in applying AI solutions to real-world business and technical problems.

This programme also provides pathways into data science, machine learning engineering, and advanced AI-focused study and careers.

Learning Modes

Live Online
Delivered through live online lectures with real-time instructor–student interaction and access to recorded sessions for review.

• 1 evening per week (6:30 PM – 9:30 PM)
• Delivered over 10 weeks
• Fully online with archived access

Fees: €895

On Campus
Delivered in a classroom environment in Dublin 2 with interactive, small-group learning.

• 1 evening per week (6:30 PM – 9:30 PM)
• Delivered over 10 weeks
• City centre location

Fees: €995

Qualifications

Professional Diploma in Machine Learning & Artificial Intelligence

Modules

This programme covers foundational, applied, and advanced machine learning and AI concepts.

AI Foundations (3 Weeks)

• History and evolution of AI
• AI applications in industry
• Knowledge representation and reasoning
• Expert systems and search strategies
• Introduction to explainable AI
• ChatGPT and modern AI tools
• AI demonstrations and lab exercises

Advanced AI and Machine Learning Concepts (2 Weeks)

• Types of data and data theory
• Exploratory data analysis (EDA)
• Supervised and unsupervised learning
• Introduction to Python for AI
• Data tools such as Pandas profiling
• Automated feature extraction
• Practical lab exercises

Applied Machine Learning & Advanced Topics (2 Weeks)

• Machine learning algorithms and workflows
• Model evaluation techniques
• Model deployment fundamentals
• Introduction to deep learning
• Reinforcement learning concepts
• Neural networks and optimisation techniques
• Lab exercises

Projects (3 Weeks)

• Sentiment analysis (theory and implementation)
• Image classification models
• Chatbot development
• Predictive modelling (classification and regression)
• Applied AI lab work

Entry Requirements

This course is suitable for beginners and career changers as well as learners with some technical background.

A basic understanding of Python and introductory statistics is beneficial but not essential.

Assessment

To achieve the Diploma, learners must complete:

• Practical machine learning assignment using AI algorithms
• Written report accompanying implemented code
• Project-based evaluation of applied AI models

All assessments must demonstrate understanding of model training, evaluation, and application.

Learning Outcomes

Upon completion of this programme, learners will be able to:

• Understand core AI and machine learning concepts
• Apply supervised and unsupervised learning techniques
• Build and evaluate machine learning models using Python
• Understand deep learning and neural network fundamentals
• Develop and deploy basic AI-driven solutions
• Interpret and communicate AI model results effectively

Career & Progression Opportunities

Graduates may pursue roles such as:

• Junior Data Scientist
• Machine Learning Assistant
• AI Analyst (Entry Level)
• Data Analyst (AI-focused roles)

This qualification also supports progression into:

• Advanced Machine Learning and AI programmes
• Data Science and Analytics degrees
• Professional AI certifications

Why Choose This Course?

✔️ Hands-on introduction to AI and machine learning
✔️ Python-based practical learning approach
✔️ Beginner-friendly with no heavy prerequisites
✔️ Covers modern AI tools including ChatGPT concepts
✔️ Strong focus on real-world applications and projects
✔️ High-demand career pathway in AI and data science
✔️ Flexible learning options available

Location & Start Date

Start Date: Monday 18th May 2026

Learning Modes Available:
• Live Online