Artificial Intelligence (AI) Certification - eLearning
450,00 EUR
- 6 hours
Gain an understanding of AI concepts, workflows and performance metrics! Artificial intelligence (AI) is intelligence demonstrated by machines, making it possible for them to learn from experience and perform human-like tasks. The majority of modern AI examples rely on deep learning and natural language processing, and these technologies enable computers to process large quantities of data and recognise patterns within that data to complete specific tasks and activities. Artificial intelligence is helping to drive organisations forward, across a broad range of industries. It’s leading to more informed business decisions, helping companies to create innovative new products and services, and enabling businesses to achieve key performance goals.
Course timeline
Course introduction
Lesson 01
Decoding artificial intelligence
Lesson 02
Fundamentals of machine learning and deep learning
Lesson 03
Machine learning workflow
Lesson 04
Performance metrics
Lesson 05
Learning Outcomes
At the end of this course you will be able to understand:
Meaning and Applications
The meaning and purpose of AI, as well as the scope, stages, applications and effects
ML and DL
The basic concepts of machine learning and deep learning
Efficiency
How to effectively implement the steps of a machine learning workflow
Supervision
The difference between supervised, semi-supervised and unsupervised learning
Metrics
The role of performance metrics and how to identify key methods
Course Overview
12 months online access to the introduction to artificial intelligence eLearning with about six hours high quality content
If you’re looking to build your knowledge in artificial intelligence, and want to get an understanding of its business applications, then our Introduction to Artificial Intelligence course is exactly what you need! With this course, you’ll get a broad overview of AI concepts, workflows and performance metrics, as well as machine learning and deep learning. You’ll find out how clustering and classification algorithms help identify AI business applications, and will also be taught the difference between supervised, unsupervised and reinforcement learning.
The basic terminologies, concepts, scope and stages of artificial intelligence are all covered in this course, it will also look at their effect on real-world business processes and how AI drives business value. By the end of the course, you will be able to apply machine learning workflow to solve business problems, clearly define various supervised and unsupervised AI algorithms, and measure ROI based on performance metrics.
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