Certified Course

Certified Courses
EC133

Introduction to Artificial Intelligence

Explore the dynamic and evolving landscape of artificial intelligence (AI) with this course designed to cater to a range of learners from beginners to those with some prior knowledge. Starting with AI's history and core concepts and distinguishing it from machine learning and deep learning, the course sets a solid foundation. Delve into practical AI applications such as natural language processing, computer vision, and robotics, and understand the ethical dimensions and biases in AI. The course advances into complex topics like generative adversarial networks and the interplay of AI with big data and quantum computing. Finally, envision AI's future influence in critical sectors like health care and finance, and you will be equipped with knowledge and skills to confidently navigate the future of AI.

Course Rating
Course Testimonials
Course Structure
Course Objectives
Performance Group
Certification Credits

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In conjunction with the Kentucky Community and Technical College System, MaxKnowledge has been honored by the 1EdTech Consortium as a Learning Impact Award Finalist for scaling pedagogical knowledge and practice through evidence-based technology.

MaxKnowledge Founder & CEO, Dr. Amir Moghadam, has been named as one of Career College Central's top 12 innovators leaping forward with ideas that have influenced the career education realm.

MaxKnowledge Chief Learning Officer, Tarlon Moghadam, has been named as one of Career Education Review's top 20 leaders changing career education.

In collaboration with the Universal Technical Institute, an independent evaluation study by the ROI Institute® proved the ROI of MaxKnowledge employee training on student retention to be over 500%.

MaxKnowledge leadership development courses are sponsored by Harvard Business Publishing and feature content from Harvard ManageMentor®.

Performance Group

This course provides you with a lifelong peer-to-peer learning opportunity through a specific Performance Group created within the Career Ed Lounge, a learning community of career education professionals. This allows you to learn and share with your peers at any time you want, even after you complete the course.

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Course Testimonials

"This course is amazing and critical in the era of rapidly changing technology! Thanks. "

Course Objectives

Module 1: Foundations of AI

Understand Â the definition, history, and evolution of artificial intelligence (AI).
Compare the three types of AI: narrow, general, and superintelligent.
Grasp the fundamental concepts, types, and applications of machine learning.
Comprehend the workings, structure, and usage of neural networks and deep learning in AI.
Identify the essential hardware and software infrastructure needed for AI development.
Evaluate how AI can be used in education.

Module 2: AI in Practice

Understand NLP, its significance, and its applications in today's technology.
Learn the fundamentals of image recognition, processing, and generation using AI.
Grasp the basics of robotics and the role of AI in advancing automation.
Understand how recommendation systems work and their applications in various industries.
Acknowledge the importance of ethics and the impact of bias in AI technology.
Review implementations of AI in the classroom.

Module 3: Advanced AI Concepts

Understand GANs and their innovative applications in diverse fields.
Dive into the principles and applications of reinforcement learning in AI.
Comprehend the process and significance of transfer learning in AI.
Explore how AI intersects with big data, including tools and techniques for managing large datasets.
Learn about the potential of quantum computing in enhancing AI capabilities.
Devise how AI can be implemented in your classroom.

Module 4: The Future of AI

Understand AI's transformative role in health care, from diagnostics to drug discovery.
Discover how AI is reshaping finance through algorithmic trading, fraud detection, and more.
Explore AI's growing influence in the entertainment industry, including game design and content creation.
Identify current limitations and anticipate future challenges in AI development.
Prepare for emerging trends and understand the broader considerations shaping the future of AI.
Comprehend the future possibilities of AI in the classroom

Course Structure

Course Format

Can Start Anytime
Self-paced (within course enrollment timeframe)
4 Hours of Activities

Completion Requirements

Study Course Content
Pass ALL Required Quizzes

Digital Badge & Certificate of Completion

4 Hours of Continuing Education
Awarded upon successful completion of course

Course Rating

Certification Credits

This course provides a Certificate of Completion with 4 hours of continuing education credits.
This course provides credit toward the Certified Higher Education Professional (CHEP) credential in the following specialization area(s):
- CHEP in Teaching
This course provides credit toward the continuing education requirements for CHEPs in all areas of specialization.

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