Artificial Inteligence

Help learners decode the mystery of Artificial Intelligence and understand its business applications andArtificial intelligence (AI) is a research field that studies how to realize the intelligent human behaviors on a computer.

The ultimate goal of AI is to make a computer that can learn, plan, and solve problems autonomously. The course provides an overview of ArtificialIntelligence concepts and workflows, Machine Learning, Deep Learning,and performance metrics.

You’ll learn the difference between supervised,unsupervised learning—be exposed to use cases, and see how clusteringand classification algorithms help identify Artificial Intelligence business. Applications.

Also, methods for problem solving are useful both for reasoning and planning. Further, both natural language understanding and computer vision can be solved using methods developed in the field of pattern recognition.

Key Learning Objectives:

• Meaning, purpose, scope, stages, applications, and effects of Artificial Intelligence.
• Fundamental concepts of AI Learning.
• Difference between supervised, semi-supervised and unsupervised learning
• Machine Learning workflow and how to implement the steps effectively. The role of performance metrics and how to identify their essential methods