AI foundations for business professionals faq

learnersLearners: 2,200
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This course provides business professionals with a comprehensive introduction to the fundamentals of Artificial Intelligence, Machine Learning, and Data Science, without the need for coding knowledge. It is ideal for marketers, managers, and executives.

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Course Feature

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Free

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Udemy

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English

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [March 06th, 2023]

Learners can learn the following from this course:

1. AI Basics: Learners will gain a broad overview of AI, understand what it is and what it is not, and why it matters. They will also learn the key distinctions between building a prediction engine with human-crafted rules and machine learning.

2. AI Capabilities: Learners will gain an understanding of the three key AI capabilities, why they matter, and what AI applications cannot yet do. They will also learn about the types of data that AI applications feed on, where that data comes from, and how AI applications turn this data into 'intelligence' with the help of ML.

3. Machine Learning and Deep Learning: Learners will gain an understanding of the fundamental concepts underlying the machine learning and deep learning approaches that are powering the current wave of AI applications. They will also learn about deep learning and artificial neural networks, the reality behind the hype.

4. AI Risks: Learners will gain an understanding of the three major risk drivers associated with AI, why they arise, and their potential consequences in the workplace.

5. AI Development: Learners will gain an understanding of how AI applications are developed and who develops them. They will also learn why the skills gap in the AI industry represents an opportunity for students.

6. Applying Knowledge: Learners will learn how to apply their own knowledge, skills, and expertise to contribute to AI projects. They will also learn how to build on the foundations they established in this course in order to transition from informed observer to valuable contributor.

[Applications]
After completing this course, students should be able to apply their knowledge of AI foundations to identify potential AI applications in their own workplace. They should be able to assess the data requirements for such applications, and understand the risks associated with AI. Additionally, they should be able to identify the skills needed to develop AI applications, and be able to contribute to AI projects.

[Career Paths]
1. AI Engineer: AI Engineers are responsible for developing and deploying AI solutions. They must have a strong understanding of AI algorithms, data structures, and software engineering principles. AI Engineers must also be able to work with large datasets and have experience with machine learning and deep learning frameworks. AI Engineers are in high demand as AI technology continues to evolve and become more widely adopted.

2. AI Researcher: AI Researchers are responsible for researching and developing new AI algorithms and technologies. They must have a strong understanding of mathematics, computer science, and statistics. AI Researchers must also have experience with machine learning and deep learning frameworks. AI Researchers are in high demand as AI technology continues to evolve and become more widely adopted.

3. AI Product Manager: AI Product Managers are responsible for managing the development and deployment of AI products. They must have a strong understanding of AI algorithms, data structures, and software engineering principles. AI Product Managers must also be able to work with large datasets and have experience with machine learning and deep learning frameworks. AI Product Managers are in high demand as AI technology continues to evolve and become more widely adopted.

4. AI Consultant: AI Consultants are responsible for providing advice and guidance to organizations on how to best utilize AI technology. They must have a strong understanding of AI algorithms, data structures, and software engineering principles. AI Consultants must also be able to work with large datasets and have experience with machine learning and deep learning frameworks. AI Consultants are in high demand as AI technology continues to evolve and become more widely adopted.

[Education Paths]
1. Bachelor's Degree in Artificial Intelligence: A Bachelor's Degree in Artificial Intelligence is a great way to gain a comprehensive understanding of the fundamentals of AI, including machine learning, deep learning, and neural networks. This degree will also provide students with the skills to develop and deploy AI applications in the workplace. Additionally, this degree will provide students with the opportunity to explore the ethical implications of AI and the potential risks associated with its use.

2. Master's Degree in Data Science: A Master's Degree in Data Science is a great way to gain a comprehensive understanding of the data-driven aspects of AI. This degree will provide students with the skills to collect, analyze, and interpret data in order to develop AI applications. Additionally, this degree will provide students with the opportunity to explore the ethical implications of AI and the potential risks associated with its use.

3. Doctorate in Machine Learning: A Doctorate in Machine Learning is a great way to gain a comprehensive understanding of the algorithms and techniques used to develop AI applications. This degree will provide students with the skills to develop and deploy AI applications in the workplace. Additionally, this degree will provide students with the opportunity to explore the ethical implications of AI and the potential risks associated with its use.

4. Certificate in AI and Machine Learning: A Certificate in AI and Machine Learning is a great way to gain a comprehensive understanding of the fundamentals of AI, including machine learning, deep learning, and neural networks. This certificate will provide students with the skills to develop and deploy AI applications in the workplace. Additionally, this certificate will provide students with the opportunity to explore the ethical implications of AI and the potential risks associated with its use.

Course Syllabus

Demystifying AI

Building a prediction engine

New capabilities... and limitations​​​​​​​

From data to 'intelligence'​​​​​​​

Machine learning approaches​​​​​​​

Risks and trade-offs​​​​​​​

How it's built​​​​​​​

The importance of domain expertise

Pros & Cons

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  • cons

    None.

Course Provider

Provider Udemy's Stats at AZClass

Rating Grade: A This is an established provider widely recognized and trusted by users, and is perfect for all level learners.

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1. What are the three key AI capabilities?

2. What is the most serious issue confronting the AI industry today?

3. What is the fundamental concept underlying the machine learning approach?

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