Fundamentals of Artificial Intelligence, Machine Learning and Robotics

Artificial Intelligence and Machine Learning, the technologies that drive automated reasoning, learning, decision making and perception have already pervaded our lives both in our homes and our workplaces.

Artificial Intelligence and Machine Learning are used in our phones, our cars, even some of our home devices, to learn and anticipate our needs. They are also used for a wide variety of web services such as e-mail filtering, data querying and map navigation that we use every day. Soon AI will operate our driverless cars, manage the comfort and security of our homes and facilitate our communications with the global information network.

Artificial Intelligence and Machine Learning are also ubiquitous in the workplace. They power robots that can learn to operate on factory floors or predict which machines need maintenance. They power software tools can match digital ads to users or plan whole marketing campaigns. They can match resumes to jobs, and predict sales and profits. They help doctors make diagnoses, or lawyers prepare for cases. They are already making a big difference in many different domains, including, but not limited to, publishing, manufacturing, retail, hospitality, healthcare, sports management and a host of other services.

Knowledge of AI and Machine Learning, their current capabilities and limitations, and also their future potential is essential for every business that wants thrive and grow in this new millennium.

Key Takeaways:

1. An introduction to and overview of the basic techniques, and available software tools of Artificial Intelligence, Machine Learning, Deep Learning and Robotics.
2. Knowledge of the capabilities of AI and Learning for improving business performance, and some examples of their application to solve practical problems of production, logistics, marketing, management and finance in various industries and sectors.
3. More detailed knowledge of the process of formulation and deployment of AI and Machine Learning in the participant’s domain of interest, applying a use-case Approach

Course fee approved for Skills Future credit. (Singapore citizens only)

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Jun 5 - Jun 7, 2017
[ Mon ] - [ Wed ]
8:00 AM - 5:00 AM SGT
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Anson Centre
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51 Anson Road Singapore
Social Media Analytics, Augmented Reality and Virtual Reality