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Artificial Intelligence and Machine Learning

Are you eager to explore the fascinating realm of machine learning and artificial intelligence? The goal of our micro-credential program is to provide you a thorough understanding of AI/ML, how it impacts culture and can be applied to solve programs and your own personal interest.

Fall ‘23

This course includes:

  • sign-direction 5 module series
  • time Flexible schedule
  • cap Certificate of completion
  • mobile Access on mobile

What you'll learn

  • The various uses and occasionally misuses of AI/ML.
  • The significance of data in the development of these technologies.
  • How AI/ML can be customized and made relevant to cultural needs and experiences.

Skills you’ll gain

  • Artificial intelligence
  • Machine Learning
  • Development
  • Deep Learning
  • ChatBot
  • ChatBot
  • ChatBot
  • ChatBot
  • Machine Learning

Program Highlights

Services offered by industry coaches

  • Obtain a generalized knowledge of AI, its potential and limitations.
  • Activities and assignments in each module demonstrate your understanding of concept.
  • New information is connected to existing knowledge and real-world tasks.
  • Earn a micro-credential.
  • Insights from renowned faculty and industry experts.

Program Faculty

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Carl S. Moore

PHD, Consultant

Carl is a teacher, learning scientist, curriculum developer and instructional designer. He also serves as the Vice President of Teaching and Learning at Howard Community College.

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Gabriella Waters

Morgan State University, Center for Equitable AI and Machine Learning Systems

Gabriella is a AI/ML and cognitive science researcher at Morgan State University’s Center for Equitable AI & Machine Learning Systems (CEAMLS). She is also a member of the Center’s leadership team working to fulfill CEAMLS’s mission.

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Kofi Nyarko

DENG, Morgan State University, Center for Equitable AI and Machine Learning Systems

Dr. Nyarko is the director of Morgan State University’s Center for Equitable AI & Machine Learning Systems. He is also the director of Morgan’s Data Engineering and Predictive Analytics research lab.

Program Schedule

5 modules • 5 weeks Expand all modules

How Does AI/ML Impact Culture? Module 1

Discover the ways in which AI/ML are used and sometimes abused, and the importance of data in informing these technologies. Upon completion of course 1, participants will have a generalized knowledge of AI, its potential and limitations, and the technical skills and knowledge to use programming to make a positive impact on culture.

Harnessing the Power of AI: Enhancing Community AI/ML in Real Life Module 2

AI/ML has the potential to bring people and ideas together in powerful ways. Explore how these tools can create dynamic community interactions. Upon completion of course 2, participants will have the ability to apply machine learning tools to solve problems and address challenges facing their own communities and to propose and implement solutions using AI tools and techniques.

Applying AI to your own problems and interests Module 3

Build on your knowledge of AI/ML and its applications, and uncover how you can use these technology solutions in your everyday life. Upon completion of course 3, participants will have a deeper understanding of how AI/ML is being used in their area of interest and will have the knowledge and skills to propose and implement solutions using AI tools and techniques to develop and train models to solve problems.

Culturally Responsive AI in Practice Module 4

Explore the ways in which AI/ML can be adapted and made relevant to cultural needs and experiences. Upon completion of course 4, participants will have a deeper understanding of the importance of culturally responsive AI and will have the knowledge and skills to design and implement AI systems that are inclusive and respectful of diverse cultures and communities.

DIY AI - Build your own AI application Module 5

Put your learning into practice and create your very own application using AI/ML. Upon completion of course 5, participants will have the knowledge and skills to use AI to build their own applications and will be able to identify and solve problems using AI tools and techniques.

Frequently asked questions

What is Propel Learn?

 Propel Learn is a signature learning and credentialing platform designed specifically for students at historically Black colleges and universities (HBCUs). It offers comprehensive, experiential, and innovative learning experiences in cutting-edge fields such as Artificial Intelligence and Machine Learning, Swift Coding, Arts and Entertainment, Cybersecurity, Clean Energy, Career Readiness, Leadership, Diversity, Equity, and Inclusion. The platform is co-developed by industry experts, top HBCU faculty, and notable workforce collaborators from around the world, and all courses and micro-credential programs are reviewed and certified by industry giants such as Apple, Southern Company, and other top industry partners. Propel Learn's micro-credentialing system is designed to help students progress at their own pace, with badges and certificates that denote their level of achievement. Students can also receive ongoing support and resources to enhance their learning experience and support their professional development.

What is Propel’s Innovation and Design Model?

 Propel’s Innovation and Design model combines cutting-edge research, learning science principles, instructional design, and tech-enhanced tools to create effective and engaging learning experiences. Our research focuses on workforce and industry credentials to ensure our courses are relevant and up-to-date. We incorporate learning science principles to promote effective learning for neurodiverse and ethnically diverse groups. Our instructional design principles organize learning experiences in a structured, learner-centered way. Lastly, we leverage tech-enhanced tools, such as our virtual learning platform Honor Learn, to promote the success of both faculty and students.

What is learning science?

Learning science is the study of how people learn and how to improve the process of learning. It draws upon research from cognitive psychology, neuroscience, educational psychology, and other related fields to inform the design of effective learning experiences.

What is Instructional Design

Instructional design is the process of creating educational or training materials and experiences in a systematic and efficient manner. It involves analyzing learners' needs, defining learning objectives, designing and developing instructional content, and evaluating the effectiveness of the instructional materials.

More questions

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