What You Need to Know Before
You Start

Starts 6 June 2025 06:28

Ends 6 June 2025

00 days
00 hours
00 minutes
00 seconds
course image

Core Concepts in AI

The "Core Concepts in AI" course is your gateway to mastering artificial intelligence (AI) and machine learning (ML). Designed by Johns Hopkins University and available on Coursera, it provides a comprehensive foundation in AI, helping you understand, evaluate, and implement AI systems effectively. Throughout the course, gain a clear grasp of.
Johns Hopkins University via Coursera

Johns Hopkins University

35 Courses


Johns Hopkins University is a globally recognized research university comprising 9 schools and campuses worldwide. It provides more than 260 degree programs, ranging from undergraduate to graduate and postdoctoral studies.

Not Specified

Optional upgrade avallable

All Levels

Progress at your own speed

Free

Optional upgrade avallable

Overview

The "Core Concepts in AI" course is your gateway to mastering artificial intelligence (AI) and machine learning (ML). Designed by Johns Hopkins University and available on Coursera, it provides a comprehensive foundation in AI, helping you understand, evaluate, and implement AI systems effectively.

Throughout the course, gain a clear grasp of key AI and ML terminologies, including an in-depth look at frameworks such as R.O.A.D. (Requirements, Operationalize Data, Analytic Method, Deployment).

Explore crucial algorithm tradeoffs and data quality considerations that professionals need to effectively bridge technical concepts with strategic decision-making.

A standout feature of this course is its focus on balancing technical depth with accessibility, making it perfect for leaders, managers, and professionals who spearhead AI initiatives. You'll learn about performance metrics, inter-annotator agreement, and resources tradeoffs, gaining insights into AI's capabilities and limitations, which are vital for making informed decisions.

This course empowers both newcomers and seasoned professionals to optimize AI systems, tackle challenges in data quality, and select the best-fitting algorithms.

By the conclusion, you'll navigate AI projects with confidence and align them with organizational goals, situating yourself as a strategic leader in AI-driven innovation.

Categories covered in this course include Artificial Intelligence Courses, Machine Learning Courses, Neural Networks Courses, Decision Trees Courses, Data Labeling Courses, Random Forests Courses, and Naive Bayes Courses.


Subjects

united states