Course description
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.
Upcoming start dates
Suitability - Who should attend?
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.
Pre-Requisites
There are no pre-requisites for this course.
Outcome / Qualification etc.
The aim of the course is to help you establish a foundational understanding of artificial intelligence and machine learning.
Training 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
Continuing Studies
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.
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Pitman Training
Pitman Training enable businesses to upskill their people and teams to take advantage of changing technologies and ways of working. This is reflected in our range of digital skills programmes that go far beyond Pitman Training’s traditional strengths in Office...