Artificial Intelligence Engineer Training in Edison, NJ

About our Artificial Intelligence Engineer course in Edison, NJ

We are offering an inclusive and detailed Artificial Intelligence Engineer course in Edison, NJ. Our course is designed to help you understand the core concepts of Artificial Intelligence and its application. We aim to equip you with the skills required to build, test, and deploy AI models and systems.

Overview of our Artificial Intelligence Engineer Training in Edison, NJ

Our course covers all the aspects of AI including Machine Learning, Deep Learning, Neural Networks, and much more. You will learn from industry experts who have a wealth of experience in the field. The course is a mix of theoretical knowledge and practical exposure to ensure complete understanding and application of the concepts.

Objectives of our Artificial Intelligence Engineer training course in Edison, NJ

The primary objective of our AI Engineer training course is to make you proficient in Artificial Intelligence. You will gain an understanding of AI models, AI technology stack, and the development of AI applications. We aim to make you industry-ready with the necessary skills to excel in the field of AI.

What you will learn in our Artificial Intelligence Engineer classes in Edison, NJ

• Understanding of Artificial Intelligence and Machine Learning concepts
• Building, testing, and deploying AI models
• Working with AI technology stack
• Developing AI applications
• Implementing Neural Networks
• Understanding Deep Learning

Course details

The course duration is 6 months, with classes held on weekends. This is an advanced level course, and it requires some basic knowledge of programming and data structures. Upon successful completion of the course, you will receive a certification of completion.

Course Syllabus

Our course syllabus for Artificial Intelligence Engineer Training in Edison, NJ covers the following modules:

• Introduction to AI and Machine Learning
  • Understanding AI and ML
  • Types of Machine Learning
  • AI Applications
  • AI Technology Stack
• Building, Testing, and Deploying AI Models
  • AI Model Lifecycle
  • Testing AI Models
  • Deploying AI Models
  • Monitoring and Maintaining AI Models
• Working with AI Technology Stack
  • Understanding AI Technology Stack
  • Implementing AI Technology Stack
  • Managing AI Technology Stack
  • Scaling AI Technology Stack
• Developing AI Applications
  • Understanding AI Applications
  • Designing AI Applications
  • Developing AI Applications
  • Testing AI Applications
• Implementing Neural Networks
  • Understanding Neural Networks
  • Designing Neural Networks
  • Implementing Neural Networks
  • Testing Neural Networks
• Understanding Deep Learning
  • Introduction to Deep Learning
  • Deep Learning Models
  • Deep Learning Applications
  • Deep Learning Algorithms