Introduction

Your Gateway to a Future in Python, AI & Machine Learning

Welcome to a course designed to shape your future. This 18-week journey into the world of Python Programming, Artificial Intelligence (AI), and Machine Learning (ML) is more than just training, it’s a stepping stone to a thriving career in one of the fastest-growing areas in tech.

In today’s world, where machines are learning faster than ever, data is behind every smart decision, and automation is changing how industries operate, there’s never been a better time to build skills in AI and data science. Whether you’re a student, career changer, tech enthusiast, or just curious about how Netflix makes suggestions or how self-driving cars work, this course is made for you.

You’ll gain practical skills in Python and machine learning, using tools and technologies trusted by top companies like Google, Netflix, Facebook, and major UK retailers. No matter your starting point, the course takes you through every step  from the basics to real-world applications in a way that’s approachable and rewarding. We also go beyond the technical. You’ll develop essential skills like problem-solving, innovation, critical thinking, and attention to detail  all of which employers highly value in data professionals.

What’s more, the course is closely aligned with the Microsoft Azure AI Fundamentals (AI-900) certification, giving you the chance to earn a globally recognised qualification that boosts your CV and your confidence.

In short, this isn’t just a course. It’s your launchpad to a future in tech, packed with hands-on learning, real-world insight, and the skills you need to succeed.

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
• Access to a computer with internet connection for coding exercises and online resources (if learning from home)

SQA Framework:

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

Course Objectives:

1. Python Setup & Basic Syntax
2. Control Flow in Python
3. Loops and Iteration
4. Functions and Code Structuring
5. Lists and Tuples
6. Dictionaries and Sets
7. File Handling and Error Management
8. Object-Oriented Programming (OOP)
9. Introduction to AI and Machine Learning
10. Working with Data in Python
11. Data Visualization
12. Supervised Machine Learning – Classification
13. Supervised Machine Learning – Regression
14. Unsupervised Learning – Clustering
15. Natural Language Processing (NLP)
16. Responsible AI and Capstone Preparation
17. Computer Vision Basics
18. Capstone Project Workshop

Hands on Experience:

The course features practical exercises, hands-on labs, and easy-to-understand lessons. It is designed to equip trainees with the essential knowledge and real-world skills needed to become proficient Data Scientists or AI Engineers.

What you’ll achieve:

1. If you are curious about Data Science and Machine Learning.
2. If you have been lately exploring Data Science and Machine Learning or have been playing around with it for a while.
3. If you want to work as a Professional Data Scientist or an AI Engineer.
4. If you want to boost your Data Science skills.
5. Trained and certified Data Scientist are needed worldwide.
6. More Data Scientist are getting certified than ever before because certifications
7. Validate your knowledge and skills
8. Help you remain competitive and employable
9. Give you job proficiency more quickly
10. Show dedication to your career

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.

Job Roles & Opportunities:

Upon completion of related certification exams, you will be able to fit-in the job roles such as:

1. Data Scientist (Entry Level / Junior)
2. Data Analyst
3. Junior Machine Learning Engineer
4. Deep Learning Engineer
5. AI Engineer
6. Research Scientist (AI/ML)
7. NLP Engineer
8. Data Engineer
9. ML Ops Engineer
10. Backend Developer (with ML focus)
11. Business Intelligence (BI) Developer
12. Product Analyst / Data Consultant
13. AI Product Manager (with technical background)
14. Computer Vision Engineer
15. Robotics Engineer (with ML/AI focus)
16. AI Ethics Specialist / Fairness Analyst
17. AI Developer
18. Python Developer (with Data Science)
19. Data Science Intern / Associate
20. Applied Scientist
21. Big Data Analyst

Target Audience:

Students & Graduates:

• University students from any STEM or related background
• Graduates in Computer Science, Mathematics, Engineering, Statistics, etc.
• Curious minds from any background — no prior coding experience required
• Students aiming to pursue a career that will never go out of demand

Professionals & Career Changers:

• Working professionals looking to switch to a data/AI career
• IT professionals wanting to upskill in Python, AI, or Machine Learning
• Job seekers wanting to enhance their employability in the tech industry
• Data analysts or BI professionals aiming to transition into data science or ML roles
• Researchers and academicians interested in applied AI and data analytics
• Freelancers and entrepreneurs building data-driven products or services

Aspirants & Enthusiasts:

• Aspiring Data Scientists, Machine Learning Engineers, and AI Developers
• Anyone looking to become a professional Data Scientist or ML Engineer
• Individuals eager to boost their data science skills
• Anyone with a strong interest in data, coding, and problem-solving
• Professionals or learners seeking a future-proof, high-demand career path

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.