Is This for You?
This course is for anyone who is interested in artificial intelligence and machine learning and how they can be used to drive solutions in business and in other applications.
Award and Associated Qualifications
Fundamentals of AI and Machine Learning
Business Management Courses
In this course, we’ll introduce you to essential concepts of artificial intelligence and machine learning –– technologies that are increasingly relevant in today’s sophisticated workplaces.
Start DateFlexible
Study TypeIn centre, online, or a combination
Training TypeCourse
Duration3 hours
About This Course
The world of artificial intelligence (AI) includes many areas of computing. Artificial intelligence leverages computers and machines to mimic the problemsolving and decision-making capabilities of the human brain. It combines computer science and robust datasets to facilitate problem-solving.
Machine learning can evaluate massive amounts of data automatically. It can also automate the data analysis process and make informed data predictions in real-time without the need of human intervention.
This course is focused on key concepts, such as supervised and unsupervised learning, in these fields. The course is divided into four modules and includes knowledge tests at the end of each section.
Course Content
Module 1: Introduction to Artificial intelligence
Module 2: Introduction to Machine Learning and Supervised Learning
Module 3: Supervised Learning Models
Module 4: Unsupervised Learning Models
Download Course Packet
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Download Course Packet
"*" indicates required fields
Download Course Packet
"*" indicates required fields
Aims and Objectives
The aim of the course is to help you establish a foundational understanding of artificial intelligence and machine learning.
Pre-Requisites
There are no pre-requisites for this course.
Finance Options
Wherever possible our training is tailored to your needs. The cost of our training programmes depend on the course(s) you choose and varies according to duration and breadth. Rest assured we have a number of payment options available to ensure the cost of training is affordable and can be worked alongside your other financial commitments. Common ways people fund their training include: –
Self-Funded:
- Flexible payment plans to help you spread the cost* available at many of our centres;
- You could opt to pay upfront.
Company Funded:
Requesting funding from your employers needn’t be a daunting task. Many employers support and encourage their employees with their professional development and consider it a worthwhile investment to fund any training required.
What we can help with:
- Providing a comprehensive training programme outlining learning outcomes
- Tailored personnel letters
- Communication with finance departments to arrange payment options (upfront or payment plan*).
Funding & Grants:
There may be the opportunity to apply for funded grants that can help towards the cost of training. These include the Skills Development Scotland ITAs and the ReAct programme in Wales. All schemes will have different terms and conditions that will need to be met in order to qualify for a grant and these are managed by each individual centre.
We’d recommend you speak to a Course Advisor in your local centre to find out whether they are registered to offer any such schemes and discuss your requirements further.
* Terms and Conditions apply. Speak to a Course Advisor for full information on the options available to you.
Career Path
For an aspiring Data Analyst, it’s essential to have an understanding of the fundamentals of AI and machine learning and how they can be leveraged to make data-crunching more efficient and more robust.
What’s the Difference?
We offer a range of training packages in a range of subject areas and can offer blended learning opportunities to best meet your needs.
Our courses are practical in nature and focus on a single subject and can last anywhere from a few hours to a few days.
Diplomas are designed to give you a complete skillset mapped to a specific career path and contain a number of core and elective courses.
