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Home»Education and Training»Exploring Top AI Courses for June 2024
Education and Training

Exploring Top AI Courses for June 2024

Ivan MassowBy Ivan MassowJune 8, 20240 ViewsNo Comments2 Mins Read
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Discover a range of AI courses suitable for different skill levels and job roles, including offerings from IBM, Stanford, HarvardX, Microsoft, and LinkedIn, covering topics such as generative AI, machine learning, and AI applications in business.

Top AI Courses to Explore in June 2024

Artificial Intelligence (AI) continues to be a significant trend across all industries. For those looking to leverage AI within their job roles, there are several training courses available.

IBM: Generative AI for Everyone
– Length: 4-8 hours
– Details: This self-paced course covers AI terms such as Machine Learning and Deep Learning, ethical concerns, and career advice from experts. It is offered for free on edX and includes a badge upon completion.

Introduction to AI for Business Users
– Length: About 2 hours
– Details: Tailored for Microsoft 365 business suite users, this course teaches AI applications in creating reports and dashboards. Available on the Microsoft website.

Stanford: Machine Learning Specialization
– Length: 80 hours
– Details: Taught by Andrew Ng, this series consists of three courses covering supervised and unsupervised learning and best practices. Available on Coursera.

HarvardX: CS50’s Introduction to Artificial Intelligence with Python
– Length: 70-210 hours
– Details: Focuses on machine learning using Python, covering topics like graph search algorithms and Bayesian networks. Available on edX.

LinkedIn: How to Research and Write Using Generative AI Tools
– Length: 5 hours
– Details: Teaches prompt engineering for interacting with generative AI bots, available free with a one-month LinkedIn Learning trial.

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Ivan Massow
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Ivan Massow Senior Editor at AI WEEK, Ivan, a life long entrepreneur, has worked at Cambridge University's Judge Business School and the Whittle Lab, nurturing talent and transforming innovative technologies into successful ventures.

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