• Classroom
  • Online, Instructor-Led
  • Online, Self-Paced
Course Description

The Global Institute of Technology 'Fundamentals of Artificial Intelligence ' is a Foundational Certification program designed to prepare learners for entry level employment opportunities in the field of Artificial Intelligence. Throughout this program, students will acquire a solid grounding in fundamental AI principles and gain proficiency in the necessary tools to confidently step into the realm of emerging AI opportunities. Our curriculum is meticulously designed to empower learners with the knowledge that is pivotal in shaping the digital landscape of today and tomorrow. During the training, you will be immersed in a comprehensive exploration of core concepts, methodologies, and practical applications that are intrinsic to the AI and ML domain.
Our course is tailored to pave the way for individuals to stride into the field of technology and innovation's future, armed with the exceptional capabilities of AI and Machine Learning. By the end of this program, you'll be poised to embrace the ever-evolving world of AI with confidence and competence.

Learning Objectives

Upon completing this comprehensive course in Artificial Intelligence and Machine Learning, participants will:
- Develop Foundational Understanding
- Understand AI's Practicality
- Grasp Machine Learning Essentials
- Harness Machine Learning Tools
- Uncover Neural Network Dynamics
- Navigate Advanced AI Applications
- Evaluate Ethical Implications
- Examine AI in Diverse Sectors:
- Explore Emerging AI Frontiers
- Work on a Hands-on Capstone Project
By the end of this course, participants will have gained a comprehensive understanding of AI and Machine Learning principles, practical skills, and the ability to apply them to real-world scenarios, fostering their capability to excel in the dynamic field of artificial intelligence.

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):