Introduction to AI and Machine Learning
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This introductory three-part course, is designed to introduce students to the fascinating world of Artificial Intelligence and Machine Learning, regardless of their background.
This series expands upon foundational concepts in a friendly and supportive format. It offers a broad overview of basic AI techniques such as recognizing patterns, making predictions, and automating decisions, which are the cornerstones of machine learning. The course simplifies these concepts with real-world examples, ensuring that everyone, no matter their prior exposure, can grasp these ideas.
The first course in this three-part series is perfect for beginners and includes 33 hours of interactive content, including video lectures and hands-on labs, spread across 11 sessions designed to boost your understanding and confidence in applying AI in various industries.
Course Outcomes
In this introductory course, you will learn to:
• Build machine learning models in Python using popular machine learning libraries, NumPy and scikit-learn.
• Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression
After completing this Specialization program, you will have mastered key machine learning concepts and gained practical knowledge to apply them effectively to challenging real-world scenarios.
Tuition Cost
Tuition: $1,250
Registration Fee: $25
Total: $1,275
Schedule and Modality
Dates: June 17 - July 25
Days / Times: Tuesdays and Thursdays, 6 - 9 p.m.
Modality: Fully Online
Instructor
Professor Carlos J. Garcia brings a wealth of experience in AI and machine learning with a solid foundation in cybersecurity, networking, and law enforcement education. With a Master of Science in Information Assurance from Eastern Michigan University and numerous certifications in IT and public safety, Professor Garcia has been at the forefront of cybersecurity and digital forensics education. He played a pivotal role in initiating the cybersecurity curriculum for high schools in Michigan, significantly shaping the state's approach to cybersecurity education. As a tenure-track Assistant Professor at SUNY Westchester Community College and an adjunct professor at Eastern Michigan University, he has developed and administered a wide range of curriculum materials across various teaching platforms, from traditional classrooms to asynchronous online courses. At Eastern Michigan University, he has taught through the master's level, contributing to the development of courses in Information Assurance. Known for his dynamic presentations and deep industry knowledge, Professor Garcia has guided numerous learners through complex IT topics and practical applications in both educational and industry settings. He was also a co-chair for the National Initiative for Cybersecurity Education (NICE) committee at NIST, where he contributed to shaping national strategies on cybersecurity education, training, and workforce development. His leadership extends into national cybersecurity defense competitions and significant contributions to community and professional educational initiatives, making him a distinguished figure in the fields of AI, cybersecurity, and public safety education.
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Last Updated: 06/04/2024 15:19