The Artificial Intelligence career path prepares learners to apply AI in real-life. This will require skills in Cognitive Computing, Natural Language Processing (NLP), Conversation (Chatbots), and Computer Vision.
Training topics will include AI, IBM Watson, hands-on and case studies on NLP, Chatbots and Computer Vision.

Learning Outcome

After completing this course, you should be able to:
  • Describe the field of AI and its subfields machine learning, NLP and computer vision
  • Describe the types of AI
  • List the factors that influenced the advancements of AI in recent years
  • List applications of AI
  • Explain what Machine Learning is
  • Describe the types of machine learning: Supervise learning, unsupervised learning and deep learning
  • Explain neural networks
  • Explain what NLP is and list its applications
  • Explain what computer vision is and list its applications
  • Explain what cognitive computing is and list the key characteristics of cognitive system
  • Explain what IBM Watson is and how it works
  • Explain how Watson technology is made available to developers and organisations
  • Describe how Watson technology is being applied to solve real world problems
  • Describe the evolution of Watson services from the original DeepQA architecture to the present
  • List the Watson services available on the IBM Cloud
  • Explain the capabilities of each Watson service
  • Describe the purpose of training the various Watson services to adapt them to a closed-domain
  • Use Watson API Explorer to interact with the Watson services REST API, to rest your calls to the API and to view live responses from the server
  • Define NLP, its history, applications and use cases
  • Understand the relationship between AI and NLP
  • Define NLP tools and services, the NLP pipeline
  • Gain hands-on experience with NLP
  • Define chatbots
  • Explain the factors that lead to the growing popularity of chatbots
  • Identify applications that are good candidates to integrate with chatbots
  • Describe the main components that are involved when building a chatbot and explain their purpose
  • Describe how to build a chatbot by using the IBM Watson Conversation service
  • Define what Computer Vision is
  • Know the history and advancement of Computer Vision
  • Identify some of the tools and services of Computer Vision
  • Understand Computer Vision components
  • Define the Vision pipeline
  • Learn about the Vision services that are available from IBM Watson
  • Create a service and train it to identify images

Who should Attend?

  • New entrants to the industry who want to pick up a working knowledge on artificial intelligence technologies and their applications

Eligibility Criteria

Course attendees are expected to have:
  1. Academic Level of at least GCE O Level or equivalent
  2. English language proficiency of at least IELTS 5.0 or equivalent
This course is endorsed under Critical Infocomm Technology Resource Programme Plus (CITREP+) Programme.
To find out more about CITREP+ Funding, please refer to Programme Support under CITREP+ page

Information is accurate as of 10 June 2019