Artificial Intelligence and Machine Learning Fundamentals
IO0101010
Introduction
This course is designed to introduce participants to the core principles and practices of Artificial Intelligence (AI) and Machine Learning (ML). AI and ML are technologies that enable machines to learn from data and experience and to make decisions and predictions. AI and ML are used in a variety of industries, from healthcare to finance, to improve efficiency and accuracy. This course guides learners through key concepts such as AI, machine learning algorithms, neural networks, and data pre-processing. Participants will be able to engage and explore real-world applications of these technologies across various scenarios. The course also delves into the ethical considerations of AI and ML, discussing biases, societal impacts, and the importance of responsible AI and ML deployment.
Learning Outcome
At the end of the program, the participant will be able to:
- Have a strong grasp of the fundamental principles of AI and ML.
- Develop an awareness of the ethical implications and societal impacts of AI and ML.
- Acquire knowledge of the tools and libraries of AI and ML.
- Understand the structure and function of neural networks to construct learning models.
- Recognise the role of an organisation in building an AI-ready culture and mindset.
- Showcase their abilities in applying AI and ML concepts to solve real-world problems.
Duration
2 Days (13 Hours)
Target Participant
- Division I (ES1)
- Division II (ES2)
- Division III (ES3)
Language
English
Pre-Requisite
Basic knowledge of programming.