Artificial intelligence (AI) involves the simulation of human intelligence in machines that are programmed to think like humans and mimic our actions. Artificial intelligence enables machines to learn and solve problems, through the creation of algorithms. This course provides a nontechnical introduction to artificial intelligence, with specific focus on its applications in real-world use cases.
Artificial intelligence (AI) is a broad term covering the multidisciplinary science of analysing and building human-like intelligence into machines so that they “think” and act rationally.
The discipline integrates computer science and logic with cognitive psychology and – depending on the field involved – draws on biology, natural language and philosophy to translate the underlying principles of human cognitive processes into programming that triggers specific action in a computer, leading to machine and other action.
Who is it for?
Anyone who is preparing to work with AI.
Certificates are awarded on the following basis:
- Certificate of completion: Cumulative average of 80% in online tests
- Certificate of participation: Cumulative average of 50%-79% for online tests
- Certificate of attendance: Cumulative average of less than 50% for online tests
You should emerge from this course:
- Familiar with the evolution of AI;
- Understanding the major components of artificial intelligence, including how to represent knowledge and reasoning in programming;
- Understanding how neural networks and machine learning work;
- Familiar with data preparation requirements;
And able to:
- Structure – and know when to use – different types of search;
- Structure Bayesian, clustering, decision-tree and instance-based algorithms;
- Deal with constraints;
- Apply basic AI concepts to solve problems in game writing, and to implement search techniques; and
- Write a basic AI app.
You will cover
Why it is important to be able to discuss AI; commonly used terminology; how AI works; how and when it can be applied; use cases; strategic application of AI; finding the right problem to solve; designing and implementing an AI solution; common pitfalls; managing regulations; the future of AI.
- Basic computer knowledge
- Data structure knowledge will give you an advantage, but is not compulsory
- To complete the final task in this course you must be familiar with a coding language such as Python or R
- Junior AI professional
Participants will engage with the course through recorded classes and supporting content online
What you will get
- 16 hours of on-demand video
- Eight study guides accompanying the video recordings
- Practical tasks and digital assessments
- Online access any time for the duration of the course
- Management consultant, CEO, CIO
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- Huge market demand