This introductory course provides a foundational understanding of AI concepts and applications, preparing you for roles in tech and beyond. You’ll get a broad overview of AI concepts, workflows and performance metrics, as well as machine learning and deep learning.
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Introduction to Artificial Intelligence
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Learn the fundamentals of AI and its real-world business applications
This three-hour eLearning course covers all the need-to-know basics of artificial intelligence, as well as practical aspects of AI including its effect on real-world business processes and how it drives business value. Apply machine learning to solve business problems, define AI algorithms, and measure ROI through performance metrics.
Learning objectives
Learn and understand:
- The meaning and purpose of AI, as well as its scope, stages, applications and effects
- The basic concepts of machine learning and deep learning
- How to effectively implement the steps of a machine learning workflow
- The difference between supervised, semi-supervised and unsupervised learning
- The role of performance metrics and how to identify key methods
What you’ll learn
In just 3 hours, you’ll gain insight into essential AI skills and develop the knowledge to apply these concepts effectively to business practice. The basic terminologies, concepts, scope and stages of artificial intelligence are all covered.
Decoding artificial intelligence
Understand what this revolutionary technological development is all about, by learning the language and principles behind it.
Machine learning and deep learning
Learn about machine learning (ML) and deep learning (DL), two core areas of artificial intelligence, each with unique principles, but with the same goal: to enable machines to learn from data and improve over time.
Machine learning workflow
Explore the structured process of building models, involving steps like data collection, pre-processing, selecting and training models, evaluating performance, and deployment, followed by continuous monitoring and optimisation.
Performance metrics
Performance metrics in AI assess how well a model is achieving its goals, providing quantitative measures of accuracy, efficiency, and relevance. Evaluate how to get the best out of AI, and consequently, your business.
What’s included
- 12 months online access to the course
- End of course assessment
- Course completion certificate (see criteria below)
FAQs
Curious about our Introduction to Artificial Intelligence course? Here’s some extra information to you get you started. Do get in touch with our excellent customer service team if you’d like to know more before booking.
Who is this course for?
This course is ideal for beginners and professionals seeking to understand AI concepts and applications.
Do I need prior experience?
No, this course is designed for learners at all levels, with no prior AI knowledge required.
How is the course delivered?
This is a self-paced eLearning course that takes approximately 3 hours to complete.
What can I do after completing the course?
You can use your foundational knowledge of AI to benefit your business in several practical ways, and you can continue on to more advanced or industry-specific courses in AI.
What our customers say
"Comprehensive and professional course. The facilitator was very knowledgeable and engaging. I learned so much! I'd recommend the course!"
Bobbette O'Dell, ILX learner
"Very professional and enjoyable training. Would highly recommend!"
Clayton Smithwick, ILX learner
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