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Updated in [June 30th, 2023]
This course provides an overview of AI, machine learning, and model building. Participants will gain an understanding of the steps necessary to construct their first model. Subex HyperSense's AI Studio will be examined in action, with use cases used to demonstrate AI Studio configuration. By the end of the course, participants will have the knowledge and skills to become a Citizen Data Scientist with HyperSense-AI Studio.
[Applications]
After completing this course, participants will be able to apply their knowledge of AI, machine learning, and model building to create their own models using Subex HyperSense's AI Studio. They will be able to configure AI Studio to create models for various use cases, and will be able to use the platform to deploy and manage their models. Additionally, participants will be able to use AI Studio to monitor and analyze the performance of their models.
[Career Path]
Citizen Data Scientists are professionals who use AI and machine learning to build models that can be used to solve business problems. They are responsible for understanding the data, developing the models, and deploying them in production.
The development trend for Citizen Data Scientists is to become more specialized in their field. As AI and machine learning become more prevalent, Citizen Data Scientists will need to become more knowledgeable in the specific areas they are working in. This will require them to have a deep understanding of the data, the algorithms, and the tools used to build the models. Additionally, they will need to be able to communicate their findings to stakeholders and be able to explain the implications of their models.
Citizen Data Scientists will also need to stay up to date with the latest trends in AI and machine learning. This will require them to stay abreast of the latest research and developments in the field. They will also need to be able to quickly adapt to new technologies and tools as they become available.
Finally, Citizen Data Scientists will need to be able to collaborate with other professionals in the field. This will require them to be able to work with other data scientists, engineers, and business professionals to ensure that the models they build are effective and efficient.
[Education Path]
The educational path recommended for learners interested in becoming a Citizen Data Scientist with HyperSense-AI Studio is to pursue a Bachelor's degree in Computer Science or a related field. This degree will provide the foundational knowledge and skills necessary to understand the concepts of AI, machine learning, and model building.
During the course of the degree, learners will gain an understanding of the fundamentals of computer science, including programming languages, algorithms, data structures, and software engineering. They will also learn about the principles of AI, machine learning, and model building, and how to apply them to real-world problems.
In addition, learners will gain hands-on experience with Subex HyperSense's AI Studio. This platform provides a comprehensive suite of tools for building and deploying AI models. Through the use of case studies, learners will gain an understanding of how to configure and use the AI Studio to create and deploy models.
The development trend for Citizen Data Scientists is to become increasingly specialized in the use of AI Studio and other AI platforms. As AI technology continues to evolve, Citizen Data Scientists will need to stay up-to-date on the latest developments in order to remain competitive. Additionally, they will need to develop a deep understanding of the various AI platforms and tools available in order to effectively use them to create and deploy models.
Course Syllabus
Introduction to AI/ML
Exploratory Data Analysis (EDA)
Predictive Machine Overview
