Introduction to AI Webinar
Sponsored By Intel
Summary
This course is for students or industry professionals who are curious about AI and want to explore AI—what it's used for and why.
Date: Wed, Mar 25, 2020
Time: 2:00 PM - 3:00 PM (MDT)
Topics covered include:
- The history of AI and why it's one of today's key technologies
- The role of AI in the enterprise and various industries—from medicine to automated driving
- Why data is important to both training neural networks and the steps in a data science workflow
- An introduction to supervised learning and deep learning (prior to taking a full deep learning course)
- An introduction to current hardware and software
By the end of this course, students will have a high-level practical knowledge of:
- The definition of AI, machine learning, deep learning, and the historical developments that now differentiate modern AI from AI of the past
- How AI can help solve problems in the industry today (with examples), and how it is becoming more important in enterprise computing
- The importance of datasets, data sources, problem-solving with data, and data science workflows
- The fundamentals of supervised learning and an introduction to the concepts of deep learning
- How Intel® hardware and software can be applied to solve AI problems
About the facilitator
Meghana Rao
AI Developer Evangelist, Intel Corporation
Meghana Rao is an Technical Marketing Engineer at Intel and serves as a developer evangelist for Intel family of products and solutions. In her current role as an AI evangelist, she works closely with universities and developers in evangelizing Intel’s AI portfolio and solutions, helping them understand Machine Learning and Deep Learning concepts, building models and POCs using Intel optimized frameworks and libraries like Caffe*, Tensorflow* and Intel®️ Distribution of Python*. She has also worked on the Intel(R) RealSense(TM) Technology and Windows* 8 application development for scalable form factors. She has a Bachelor’s degree in Computer Science and Engineering and a Master’s degree in Engineering and Technology Management with past experience in embedded software development, Windows* app development and UX design methodologies.
If you have any questions about the webinar please contact Dr. Johnny Poolaw at jpoolaw@aises.org.
View a Recording of the Webinar