Your Gateway to Artificial Intelligence and Machine Learning

Step into the world of Artificial Intelligence (AI) and Machine Learning (ML) with a programme designed to build foundational knowledge and practical understanding of modern AI technologies. Through engaging learning activities and real-world examples, learners will explore key AI concepts, machine learning principles, computer vision, natural language processing, and responsible AI practices.

This programme is closely aligned with the Microsoft AI & ML Fundamentals (AI-901) certification, providing learners with the knowledge and confidence required to prepare for the industry-recognised Microsoft examination. Whether you are seeking to enhance your digital skills, progress into further study, or explore career opportunities within the technology sector, this course offers an excellent starting point for a future in AI and emerging technologies.

Prerequisites

• Basic understanding of mathematics,
• Familiarity with programming concepts (prior Python experience is helpful but not mandatory)
• Logical thinking and problem-solving skills
• Willingness to learn and experiment with new tools and technologies

SQA Framework:

This course is aligned with the Professional Development Award (PDA) in Data Science, accredited by the Qualifications Scotland at SCQF Level 8. Learners who successfully pass all relevant examinations will be awarded 40 SCQF credits.

Course Objectives:

• AI, Data Science & Python Fundamentals
• Python Fundamentals (Continued)
• NumPy for Data Processing
• Pandas for Data Analysis
• Data Visualisation with Matplotlib
• AI Concepts + Theory
• ML with Linear Regression + Logistic Regression
• K nearest Neighbours and K Means Clustering
• Support Vectors Machines and Decision Trees
• Microsoft Foundry Fundamentals
• Foundry SDK + AI Application Development
• Agentic AI Systems
• Text AI + NLP + Data Insights
• Speech + Vision AI
• Information Extraction (Content Understanding)
• Integrated AI + Data Analysis

Hands-On Experience

This programme combines engaging practical exercises, interactive labs, and easy-to-follow learning materials to provide learners with a comprehensive introduction to Artificial Intelligence and Machine Learning. Through hands-on experience with Microsoft AI technologies and real-world scenarios, learners will develop a strong understanding of AI concepts, machine learning principles, and intelligent cloud-based solutions. The course is designed to build both confidence and technical awareness, equipping learners with valuable skills that form the foundation for further study, professional certification, and future careers in the rapidly expanding field of AI and emerging technologies.

Class Duration:

This intensive 18-week course is your ultimate fast-track to mastering everything you need to become a highly skilled and sought-after Data Scientist equipped with the knowledge and practical skills that open doors to the most exciting careers in tech.

Learning Modes:

ITPT is currently providing different method of learning opportunities to students. Many people are looking for learning diversity to enhance their qualifications, but they don’t have the time to take on full-time instructor led study or attending courses regularly at their appropriate venues.

 Career Opportunities:

Upon successful completion of the programme and any associated certification examinations, learners may progress towards a range of entry-level and junior roles within the fields of Artificial Intelligence, Machine Learning, Data, and Technology.

Potential career pathways include:

• AI Associate
• Junior AI Engineer
• Machine Learning Associate
• Data Analyst
• Business Intelligence Analyst
• AI Developer
• Python Developer
• Data Science Associate,
• Research Assistant (AI/ML)
• Technical Consultant  

The qualification also provides a strong foundation for further specialisation and progression into advanced careers in artificial intelligence, machine learning, cloud computing, data science, computer vision, natural language processing, and intelligent systems development.

Target Audience:

This programme is designed for a broad range of learners, including students, graduates, working professionals, career changers, and technology enthusiasts who wish to develop a foundational understanding of Artificial Intelligence (AI) and Machine Learning (ML). It is particularly suitable for individuals from computing, engineering, mathematics, science, business, or related disciplines, although no prior coding or AI experience is required. The course is ideal for those seeking to enhance their digital skills, explore emerging technologies, improve their employability, pursue further study, or begin a career in the rapidly growing fields of AI, machine learning, data, and cloud technologies. It also provides valuable knowledge for professionals looking to upskill and remain competitive in an increasingly technology-driven workplace.

Funding Available:

Course Funding: SAAS PTFG: Scottish Awards Agency for Scotland

This course is funded by SAAS part time funding which is available to eligible individuals only;
SAAS General funding eligibility requirement:

1. You have to be a resident of Scotland
2. Either employed or unemployed, if working then earning must be less/equals to 25k a year
3. Have not used the SAAS funding in this Academic Year.

Other criteria:

• Students do not need to pay it back as this is a grant not a loan.
• This funding is different from the full time funding which can be applied  by someone who previously granted for a degree, postgrad or any other full time studies (HNC/HND) etc. but not in a same session
• Part time funding cannot be received on a same session if one is already receiving any part/full time funding for other courses.
• Part Time funding can only be used for one course per academic year
• SAAS part time funding academic year starts from Aug to July.

For more information please visit the below link 

www.saas.gov.uk/_forms/funding_guide.pdf

To check your eligibility:

Please follow the below link to check if you qualify for the course funding;

www.saas.gov.uk/part-time/undergraduate-funding

Self Funding

If you do not qualify for SAAS part-time, you have the option to self-fund the course.

Fees are payable in advance at the start of the course unless otherwise agreed.

We also provide flexible fee installments to help students in paying their fees.