Artificial intelligence (AI) discipline covers anything related to making machines smart related to robotics, autonomous driving, IoT or software application.
Using AI and Machine Learning Systems, System of Systems (SoS) and more complex capabilities help machines get smarter and smarter over time without human intervention.
Who Should Attend?
Engineers
Project managers
Analysts and anyone else interested in artificial intelligence
Learning Objectives :
Learn how to classify the types of learning
Learn about classification data and learning models
Comprehend the theoretical concepts and how they relate to the practical aspects
Analyze robust machine learning and deep learning algorithms
Many other
Course Agenda and Topics :
Core Concepts and Techniques behind Artificial Intelligence (AI)
Applied Artificial Intelligence (AI) and Machine Learning
Supervised & Unsupervised Algorithms
Case Studies and Workshops
Artificial Intelligence Training Bootcamp
Using AI and Machine Learning Systems, System of Systems (SoS) and more complex capabilities help machines get smarter and smarter over time without human intervention.
Who Should Attend?
Engineers
Project managers
Analysts and anyone else interested in artificial intelligence
Learning Objectives :
Learn how to classify the types of learning
Learn about classification data and learning models
Comprehend the theoretical concepts and how they relate to the practical aspects
Analyze robust machine learning and deep learning algorithms
Many other
Course Agenda and Topics :
Core Concepts and Techniques behind Artificial Intelligence (AI)
Applied Artificial Intelligence (AI) and Machine Learning
Supervised & Unsupervised Algorithms
Case Studies and Workshops
Learn More:
Comments
Post a Comment