Cognitive Computing

Learning Outcomes: 
Describe the field of AI and its subfields machine learning, NLP and computer vision
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
Understand the relationship between AI and NLP
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
Identify some of the tools and services of Computer Vision
Understand Computer Vision components
Syllabus: 
Unit NoTopics
1

UNIT I – ARTIFICIAL INTELLIGENCE OVERVIEW Introduction to Artificial Intelligence, Machine Learning, NLP, Computer Vision, Cogitive computing

2

UNIT II – ARTIFICIAL INTELLIGENCE FOUNDATIONS

Introduction to IBM Watson, Evolution from Deep QA to Watson services on IBM Cloud, Build with Watson

3

UNIT III – ARTIFICIAL INTELLIGENCE ANALYST

Natural Language Processing, Pipelne & concepts, NLP and IBM Watson 

4

UNIT IV – Computer Vision

Introduction to Computer Vision, Computer Vision fundamentals,IBM Watson visual recognition service 

4

UNIT V – Chatbots

Introduction to Chatbots, Chatbot fundamentals, IBM Watson conversation service

Syllabus PDF: 
AttachmentSize
PDF icon Sem 7 BDA-Cognitive Computing.pdf192.33 KB
branch: 
BDA
Course: 
2018
Stream: 
B.Tech