Projects
Assignments
Overview
This course bundle provides comprehensive material on emerging technologies for business professionals, covering Internet of Things (IoT), Artificial Intelligence (AI), and Data Science (DS). Learners will acquire knowledge on integrating these technologies into business operations and addressing associated benefits and challenges.
Objectives
By the end of this course, leaner will be able to:
- Understand fundamental concepts and applications of IoT, AI, and DS.
- Explore the benefits and challenges of integrating emerging technologies into business practices.
- Gain insights into implementing AI solutions to enhance user experiences, segment audiences, secure assets, and optimize processes.
- Learn data science fundamentals including types of data, lifecycle, acquisition, preparation, modeling, visualization, roles, benefits, challenges, and business use cases.
- Identify IoT ingredients, strategies, infrastructure, business considerations, security concerns, organizational impacts, societal impacts, and best practices for implementation.
Prerequisites
- Foundational knowledge of business processes and concepts.
- Basic understanding of information technology resources and systems.
- Familiarity with networks, computers, and electronic devices used in enterprises.
Course Outline
Module 2: Functions of AI in BusinessCourses2024-02-20T17:44:46+05:30
- Improving user experiences.
- Audience segmentation.
- Asset security.
- Process optimization.
Module 3: Implementing Business Requirements for AICourses2024-02-20T17:45:34+05:30
- Design and data requirements.
- Risks in AI implementation.
- Developing an AI strategy.
Module 4: Data Science FundamentalsCourses2024-02-20T17:47:25+05:30
- Definition and types of data science.
- The data science lifecycle.
Module 5: Data Science ImplementationCourses2024-02-20T17:48:12+05:30
- Data acquisition and preparation.
- Data modeling and visualization.
- Data science roles.
