Course Highlights
  • Government Certification
  • Certification valid for life
  • Lifelong e-learning access
  • Learning Hours: 13 hrs
  • Life Time Job Support
  • Job Profile Tagging
Curriculum

6 Topics
The Course Overview
Understanding AI Problems Related to Supervised/Unsupervised Learning
Difference between Classification and Regression
Installing JDK and JRE
Setting Up of Netbeans IDE
Import Java Libraries and Export Code Projects as JAR Files

5 Topics
Introduction to Search
Implementation of Dijkstra’s Search
Understand the Notion of Heuristics
Brief Introduction of A* Algorithm
Implementation of A* Algorithm

6 Topics
Introduction of Min-Max Algorithm
Implementation of Min-Max Algorithm Using an Example
Installing Prolog
Introduction of Rule-Based Systems with Prolog
Setting Up the Prolog with Java
Executing Prolog Queries Using Java

4 Topics
Brief Introduction to Weka
Installing and Interfacing with Weka
Reading and Writing Datasets
Converting Datasets

3 Topics
Filtering Attributes
Discretizing Attributes
Attribute Selection

4 Topics
Developing a Classifier
Model Evaluation
Making Predictions
Saving/Loading Models

6 Topics
Working with K-means Clustering
Evaluating a Clustering Model
Introduction to Semi-Supervised Learning
Difference Between Unsupervised and Semi-Supervised Learning
Self-training/Co-training Machine Learning Models
Making Predictions with Semi-Supervised Machine Learning Models

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