Artificial intelligence is known to be the ability of a digital computer or even a computer-controlled robot to perform multiple tasks. These tasks are common associated with intelligent beings. The term AI is widely applied to the project of development all those systems that are endowed with the intellectual processes characteristic of humans. It includes the ability to reason, discover meaning and learning from past experience.
Below you can find the list of Best Artificial Intelligence Executive Program with Certificates.
# | Course Name | University/Organization | Ratings | Duration |
1. | Artificial Intelligence: Implications for Business Strategy | MIT | — | 48 Hours |
2. | AI & Machine Learning Bootcamp | Caltech | ★★★★★ 4.5 | — |
3. | Oxford Artificial Intelligence Programme | University of Oxford | — | 60 Hours |
4. | AI Applications for Growth | Northwestern Kellogg | — | 02 Months |
5. | Artificial Intelligence: Business Strategies and Applications | Berkeley Exec Ed | — | 02 Months |
6. | Designing and Building AI Products and Services | MIT | — | 48 Hours |
7. | Post Graduate Program in Artificial Intelligence for Leaders | University of Texas | ★★★★★ 4.8 | 04 Months |
8. | Professional Certificate in Machine Learning and Artificial Intelligence | Berkeley Engineering | — | 06 Months |
9. | Professional Certificate in Machine Learning and Artificial Intelligence | Imperial College Business School | — | 25 Weeks |
10. | The Business of AI | London Business School | — | 50 Hours |
11. | Machine Learning: Fundamentals and Algorithms | Carnegie Mellon University | — | 100 Hours |
In this course, you will be equipped with the knowledge and confidence required to transform your organization into an innovative, efficient, and sustainable company of the future.
In this “AI & Machine Learning Bootcamp” you will develop a fundamental base in mathematical and statistical principles.
Online Course Effectiveness Score | |||
Content | Engagement | Practice | Career Benefit |
Excellent ★★★★★ | Good ★★★★☆ | Good ★★★★☆ | Fair ★★★☆☆ |
This program is all about helping learners develop the ability to identify and assess the possibilities for AI in their organization. Here you will be taught how to develop a business case for its implementation.
In this engaging class, you will understand the different business applications and outcomes that can be achieved with AI. Here you will understand the voice of the business and the customer to data scientists and engineers.
Are you interested in learning AI’s current capabilities and applications? If yes, then this class is for you. Here you will understand the future potential of AI in detail.
In this course, you will learn the four stages of AI product design in a step-by-step guide. The instructor will explain in detail how to identify applicable AI technologies for the purpose of improving organizational processes.
In this program, you will be taught how to build strong foundation of AI in detail. The instructor will take you through some of the jargons, terms, and news relevant to AI.
In this professional certificate, you will develop a comprehensive understanding of machine learning and artificial intelligence concepts. Here you will be taught how to identify the best ML models to fit different business situations.
In this professional certificate, you will understand the foundational and advanced concepts and trends in artificial intelligence. Here you will understand their potential real-world implications in detail. Explore our compilation of learning resources for Artificial Intelligence & Machine Learning, providing a gateway to delve deeper into these cutting-edge fields.
Do you wish to gain a solid understanding of the advantages and limitations of AI and ML in business settings for the purpose of communicating effectively with stakeholders? If yes then this course is for you. Here you will be taught how to increase your professional value and become an in-demand leader with the rare ability to connect with this technology to business value and results.
In this online program, you will be taught how to synthesize the components of machine learning to create functional tools for prediction of unseen data. Here you will be taught how to implement and analyze learning algorithms for classification, regression, and clustering purposes.
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