Course Description
Artificial
Intelligence (AI) is a very hot topic, and AI solutions have significantly
changed the way we do things across various domains in our life. Today, It is
widely recognised, that these solutions are outperforming human’s experts
across different industries. Therefore, Artificial Intelligence (AI) adoption
is a necessity to maintain a competitive advantage regardless of industry. AI
is the science of processing data, often in real-time, to improve productivity
and efficiency and make decisions better informed. In the past decade, AI has
been the key driver behind many innovations such as autonomous vehicles,
image/voice recognition, effective web search and intelligent security systems.
This course is designed to give participants the knowledge of AI concepts
including the essential technical foundations required for appreciating as well
as communicating the value of AI-enabled solutions to the potential or existing
clients/customers. During the course, learners will work on a number of case
studies from various sectors including government, healthcare and will work
with different data modalities (structured and unstructured). You will
understand not only the theory, but also how it is applied in specific
industries. You will hear from industry leaders in AI sub fields such as deep
learning, who will share their personal experiences in adopting or developing
AI solutions. This course will help you to find creative ways to apply AI to
your work. It will equip you with the knowledge and tools to craft a strategy
to implement AI successfully to overcome challenges and meet business needs.
Keywords: AI, Deep Learning Machine Learning, Un-supervised
Learning, Python, R, Data Visualisation, Reproducible Documents, Tensorflow,
Keras, Hadoop, Spark
· Humans
versus machines. Throughout this course you will be able to study and contrast
various case studies that compares human’s and computer performances across
various domains
· Build strong
understanding of AI and underlying concepts and learn about the various tools
and technologies available for building and deploying intelligent solutions
· Understand
and build the necessary skills that will enable you to articulate and define data-related
problems, outline key requirements and resources for building a scalable
AI-driven solution and lead the technical implementation
· By the end
of this programme you will develop strong understanding of the data-driven
application workflow and its requirements
· Develop
strong theoretical and technical understanding of traditional machine learning
algorithms and modern AI, including Deep Learning and Deep Convolutional Neural
Networks
· Build the
vision to lead digital transformation in your organisation through a capstone
project.