Artificial Intelligence Course in Mohali | Artifical Intelligence

Artificial Intelligence

Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction.

1. Introduction to Artificial Intelligence and NLP

Introduction: Describing the eras of computing, Explaining the difference between deterministic and probabilistic systems, Describing the types of AI, Explaining what the main focus of AI is, Listing of practical applications of AI.
Machine Learning: Explaining what machine learning is, Describing the types of machine learning
Neural Networks: Explaining what neural networks are and why they are important in today’s AI’s field, Explaining what domain adaptation is and its applications
NLP: Explaining what NLP is, Describing different NLP processes, Listing tools and services for NLP, Identifying NLP use cases
Cognitive Computing: Defining CV, Knowing the history of CV and its advancement with AI, Listing tools and services for CV, Identifying CV use cases

2. Artificial Intelligence Foundation

Explaining what IBM Watson is and how it works
Explaining how Watson technology is made available to developers and organizations
Describing how Watson technology is being applied to solve real world problems
Explaining about DeepQA architecture
Explaining why IBM decided to commercialize Watson
Describing the evolution of Watson services from the original DeepQA architecture to the present
Recognizing the Watson services available today on the IBM Cloud
Listing the Watson services
Explaining the capabilities of each Watson service
Describing the purpose of training the various Watson services to adapt the to a closed-domain
Listing the Watson services that can be trained
Listing the Watson services that cannot be trained
Describing what Watson Knowledge studio is
Listing the Watson services that can be trained with Watson Knowledge Studio
Using Watson API Explorer to interact with the Watson services REST API, to test your calls to the API, and to view live responses from the server.

3. Artificial Intelligence Analyst

Explaining what NLP is
Describing different NLP processes
Listing tools and services for NLP
Identifying NLP use cases
Defining different components of NLP
Defining challenges within NLU
Explaining the NLP pipeline
Explaining the concepts of information extraction and sentiment analysis
Defining the capabilities of IBM Watson Natural Language Classifier (NLC)
Describing how to train Watson NLC
Defining the capabilities of Watson Natural Language Understanding (NLU) service and its input and output, along with the discovery service
Explaining the capabilities of the Watson Tone Analyzer service and its input and output
Creating a Watson Discovery service instance
Creating a collection
Adding content to a collection
Building queries
Using the Discovery API