Course Overview
As we deal with current data explosive world, much of the data is unstructured – forms, tables, images, and video. As we deal with social interactions in Covid-19, compliance for mask wearing gets added to a number of other image analysis problems.
We have a strong need to analyze large set of unstructured and semi-structured data to interpret the meaning using various AI technology. What are the different types of AI capabilities and associated technologies? How do you select an AI use case and associated technology.
Discover the essentials of Artificial Intelligence (AI) in our focused course. Learn what AI is, its key capabilities, and delve into various AI technologies through real-world use cases. Understand the components that make up an AI solution, and gain practical skills in strategizing AI engagements for effective technology integration. This course is ideal for professionals and enthusiasts eager to explore and leverage AI's transformative potential in various industries.
In this course, you will understand
- What is AI?
- Major capabilities of AI
- Various AI technologies and associated use cases
- Components of an AI solution
- Strategize an AI engagement and associated technologies
The course will cover many interactive quizzes to test your understanding on the subject.
Course Curriculum
- Introduction (13:07)
- AI Capabilities and Technologies (12:52)
- AI Technology - Sensing (10:54)
- Case Study 1 - Sensing (11:56)
- AI Technology - Reasoning (18:39)
- Case Study 2 - Reasoning (24:57)
- AI Technology - Learning (16:50)
- Case Study 3 - Learning (7:53)
- AI Technology - Interaction (16:35)
- Case Study 4 - Interaction (16:35)
- Summary (4:05)
Neena Sathi
Neena Sathi is a principal at Applied AI Institute. She has 30 + years of experience envisioning, designing, developing and implementing AI solutions associated with enhancing customer experience, back office automation and risk and compliance for many Fortune 100 organizations. She has worked as Director of AI Technologies at Carnegie Group, Inc, an AI startup, Accenture, KPMG, and IBM.
Neena has three masters degrees including MBA from leading US universities. She is Master certified integration architect from IBM and Open Group as well as certified Project management professional (PMP) from Project management institute. She is also certified in many Cloud and Cognitive technologies. She has widely presented and published many papers in AAAI, IEEE, WCF, ECF, IBM Information on Demand, IBM Insight, World of Watson, IBM Developer Works and various academic journals.
Learning Through Videos
Videos provide you concepts and examples associated with Vision AI
No New Set-up needed
All the development environments will be provided by the Applied AI Institute in a secure Microsoft Azure cloud environment. In addition, all solution accelerators associated with various use cases will be provided by the Applied AI Institute
Interactive Knowledge Checks and Credly Certification
As you learn a concept, test your understanding using Interactive Knowledge Checks or quizzes
You can also test how you apply all learnt concepts by exercising all your class assignment. Upon successful completion of class assignment students will receive a Credly certification of completion for adding into their profile.
Other Courses in AI Series
In our AI series, we have designed many courses on AI related topics such as Vision AI, Conversational AI, Graph AI and Data Science. We are working with a few universities in launching these courses. These courses are aimed as education aid for graduate level courses at leading US universities. We will be releasing these courses on a periodic basis using Teachable as a platform. Please select "View All Products" to view all our courses
