Master Course : Edge AI and Edge Computer vision (101 level)
What you'll learn
- Understand the principles of Edge AI and its applications in real-world scenarios.
- Gain insights into Edge Computer Vision and its role in processing data at the edge.
- Identify the essential hardware components required for efficient edge computing.
- Evaluate hardware choices to optimize performance and power consumption for edge devices.
- Comprehend the fundamental concepts of Edge AI and Edge Computer Vision.
- Analyze the benefits, strategic implications, and challenges associated with implementing Edge AI solutions.
- Explore various software frameworks used for developing Edge AI applications.
- Learn how to select and leverage appropriate software tools for efficient edge computing.
- Master the deployment process of Edge AI models in real-world scenarios.
- Examine case studies to understand successful implementations and best practices in edge AI.
- Stay updated on the latest trends and innovations in the field of Edge AI.
- Anticipate future directions and potential advancements that will shape the landscape of edge computing.
Requirements
- Basic Ides and Skills of AI (Artificial Intelligence)
Description
Mastering Edge AI and Edge Computer Vision: Unveiling the Future of Intelligent Devices
In an era where data-driven decision-making is the norm, the importance of artificial intelligence (AI) and computer vision cannot be overstated. The ability to process and interpret visual information has transformed industries, ranging from healthcare and automotive to manufacturing and agriculture. And while cloud-based AI has been pivotal in this transformation, there's a new player in town - Edge AI and Edge Computer Vision.
In master course, we will delve into the exciting world of Edge AI and Edge Computer Vision, uncovering the key topics covered in a Master Course dedicated to these cutting-edge technologies.
Edge AI and Edge Computer Vision offer a multitude of advantages in various industries. These technologies empower real-time decision-making by processing data locally on edge devices, reducing latency and dependence on cloud connectivity. They enhance privacy and security by keeping sensitive data on-site, reducing the risk of data breaches. Edge AI enables more efficient resource utilization, as it minimizes the need for continuous high-bandwidth data transmission. In sectors like healthcare, autonomous vehicles, and manufacturing, Edge Computer Vision facilitates rapid and precise object recognition, enabling safer, more efficient operations. Moreover, these technologies enhance scalability, allowing businesses to deploy intelligent solutions across distributed environments, improving efficiency, and providing a competitive edge in today's data-driven world.
The Master Course in Edge AI and Edge Computer Vision offers a comprehensive education in one of the most exciting and rapidly growing fields in technology. Graduates will be equipped with the skills and knowledge needed to harness the power of edge computing, create intelligent devices, and drive innovation across industries. As the world continues its digital transformation, mastering edge AI and edge computer vision is a key to staying ahead of the curve.
In this master course, I would like to teach the 6 major topics:
1. Introduction to Edge AI and Edge Computer Vision
2. Hardware for Edge Devices
3. Edge AI Fundamentals, Edge Computer Vision Basics benefits, strategy & Challenges
4. Edge AI Software Frameworks
5. Edge AI Deployment and Case Studies
6. Emerging Trends and Future Directions
Enroll now and learn today !
Who this course is for:
- All UG and PG Business, Systems, Information technology & Computer science Students
- Interested students to learn about the concepts of Edge AI and Edge Computer vision
Instructor
- 4.2 Instructor Rating
- 36,349 Reviews
- 528,166 Students
- 310 Courses
Achievements on Udemy : (UDEMY BUSINESS BEST SELLER & FULL TIME UDEMY INSTRUCTOR)
[1] Enrolled over 527,000 students from 214 countries & 40+ UFB Courses.
[2] Delivered a staggering 3.73 million course enrollments, with 5,439,933 minutes taught Including UFB Courses (Upto August' 2024).
[3] Offered a diverse array of 310 courses, covering Business, General Management, Leadership, IT, Software and Systems, Psychology, Education, and Media Studies.
Credentials and Qualifications of Dr. José:
Dr. José's extensive qualifications showcase his dedication to various fields:
[1] Earned a Ph.D. in Entrepreneurship & Business Management in 2019, contributing to the understanding of business dynamics.
[2] Holds an M.Phil. in Business & General Management, establishing a solid foundation in comprehensive management knowledge.
[3] Completed a Masters in Financial Markets in 2015, demonstrating expertise in financial systems.
[4] Acquired a Masters in Information Technology in 2013, equipping him with technological proficiency.
[5] Achieved a Masters in Human Resource Management (MBA) in 2011, highlighting organizational skills.
[6] Secured a Bachelors in Mathematics in 2009, emphasizing analytical and statistics prowess.
[7] Earned a Diploma in Teacher Education in 2006, showing dedication to education.
This diverse academic background positions Dr. José as a well-rounded and versatile professional.
Teaching Experience:
Dr. José is an accomplished expert with a wealth of teaching and industry experience:
[1] Currently he is working as a Researcher and Professor of Florida Christian University (FCU Online), Orlando, FL.
[2] Serves as a Senior Researcher, Professor, and Subject Matter Expert at UTEL University, Universidad Centro Panamericano de Estudios Superiores - México, IBS-BFSU (International Business School - Beijing Foreign Studies University) China.
[2] Holds the title of Honorary and Visiting Professor at NGCEF Australia, ISCIP Canada, and Judge of the Research center for the Internationalization of companies from emerging economies (I-CEE) & Global Forum on Business Case Study.
[3] Dr. José, Specializes in digital transformation teaching, innovative teaching, and project based strategies for startup teaching in digital platform ecosystems.
Instructional Design and Curriculum Development Experience:
Dr. José's instructional design and curriculum development contributions are noteworthy:
[1] Designed and developed more than 5 specialized Post Graduate Master Degree courses for International Business School - Beijing Foreign Studies University (IBS-BFSU).
[2] Expertise in corporate entrepreneurship, organizational innovation, and learning.
[3] Over 15 years of experience as a business and IT consultant for over 20 successful startup businesses.
[4] Designed, developed, and hosted over 200 corporate business websites since 2007, receiving over 10 awards for graphic and web design.
Interests of Teaching Topics:
Dr. José's teaching interests span a wide range of subjects:
[1] Conducted, supervised, and handled more than 10,000 UG, PG students since 2007.
[2] Led training sessions for undergraduate and postgraduate Master Degree graduates in areas such as Entrepreneurship Development, Business Management, Human Resource Management and Development, Marketing, Digital Marketing, Finance and Financial Markets, Economics, Statistics, Education, Psychology, Leadership and Personal Development, Multimedia, Information Technology, IEEE Domains, and Software Certification Courses.
[3] Regular Keynote Speaker at AEIC China and Whither Our Economies (WoE) Lithuania.
[4] Currently guiding 5 Ph.D. Scholars in Business Administration, Computer Science, and IT Domains.
Certifications, Research and Publications:
Dr. José boasts an impressive list of certifications, research, and publications:
[1] Completed more than 30+ Software, IT, and Business Certifications.
[2] Serves as an Editor of Science Direct PLAS Journal, Ai Scholar China and certified reviewer for several renowned publishers from Springer Nature, Online Wiley, Emerald & SAGE.
[3] Published over 50 research and review articles, 8-12 solo-authored full case studies, 4 book chapters, and numerous book reviews and some listed in WoS & Scopus Listings.
[4] Google Scholar Citation 100+ and Research Gate Score is 270.90 with 54+ Citations, 59,299+ reads, and 27 Research Recommendations.
[5] European Alliance for Innovation (EAI) Score is 16.
Honors and Awards:
Dr. José's accomplishments are celebrated with various honors and awards:
[1] Top Funding Project Writer.
[2] Top Researcher Award 2019-2024.
[3] Best Ph.D. Thesis Award 2018.
[4] Distinguished Young Scientist 2017.
[5] University Topper (2011-2012).
[6] Seven-time recipient of the FCB - Faculty Competency Building Award (2011-2018).
[7] Mr. Perfect Award in 2008.
International Memberships and Activities:
[1] Holds memberships in 35+ International academic and professional bodies, including IEEE (ID : 96447154), Oulu Entrepreneurship Society - Finland, AfSAE (ID: 256521), ISPIM (ID: 1374), ITPA (ID: 29660) and many more.
[2] Volunteers for Scopus, Web of Science, and ABDC Indexed journals.
[3] Serves as an editorial and reviewer board member for over 30+ journals and has reviewed 200+ articles since 2019.