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Updated in [May 17th, 2023]

This course provides an overview of the role of the Business Analyst in the implementation of AI-based business solutions. It covers the requirements elicitation and analysis of conversational user experience, as well as the comparison of Natural Language Understanding (NLU) bots and rule-based bots. The course also provides an overview of conversation flow analysis and design from the perspective of a Business Analyst. Participants will gain an understanding of the role of the Business Analyst in the implementation of AI-based business solutions, and will be able to apply the knowledge gained to their own projects.

[Applications]
The Business Analyst who has completed this course will be able to apply their knowledge to the implementation of AI-based business solutions. They will be able to use their conversational user experience elicitation and analysis skills to compare natural language understanding (NLU) bots and rule-based bots. Additionally, they will be able to use their understanding of conversation flow analysis and design to create effective AI-based solutions.

[Career Paths]
[Title]Data Scientist: Machine Learning and Deep Learning
[Description]Data Scientists are responsible for developing and deploying machine learning and deep learning models to solve complex problems. They must be able to identify patterns in data, develop algorithms, and interpret results. They must also be able to communicate their findings to stakeholders and develop strategies for implementation. Data Scientists must be familiar with the latest technologies and trends in the field, such as neural networks, deep learning, and natural language processing.

[Title]Software Engineer: Cloud Computing and Big Data
[Description]Software Engineers are responsible for developing and deploying cloud-based applications and services. They must be able to design and develop software solutions that are scalable, secure, and reliable. They must also be able to integrate big data technologies into their solutions. Software Engineers must be familiar with the latest technologies and trends in the field, such as cloud computing, big data, and artificial intelligence.

[Title]Data Analyst: Business Intelligence and Analytics
[Description]Data Analysts are responsible for analyzing data to identify trends and insights. They must be able to interpret data, develop reports, and present findings to stakeholders. They must also be able to develop strategies for data-driven decision making. Data Analysts must be familiar with the latest technologies and trends in the field, such as business intelligence, analytics, and data visualization.

[Education Paths]
1. Bachelor's Degree in Business Administration: This degree provides a comprehensive overview of business operations, including marketing, finance, accounting, and management. It also provides a foundation in data analysis and decision-making. With the increasing use of AI and data science in business, this degree is becoming increasingly important for those looking to become a digital director for AI and data science.

2. Master's Degree in Data Science: This degree provides a more in-depth look at data analysis and decision-making. It covers topics such as machine learning, natural language processing, and predictive analytics. This degree is becoming increasingly important for those looking to become a digital director for AI and data science, as it provides the skills necessary to effectively analyze and interpret data.

3. Master's Degree in Artificial Intelligence: This degree provides a comprehensive overview of AI and its applications in business. It covers topics such as machine learning, natural language processing, and computer vision. This degree is becoming increasingly important for those looking to become a digital director for AI and data science, as it provides the skills necessary to effectively implement AI-based solutions.

4. Doctorate Degree in Business Analytics: This degree provides a comprehensive overview of business analytics and its applications in business. It covers topics such as data mining, predictive analytics, and optimization. This degree is becoming increasingly important for those looking to become a digital director for AI and data science, as it provides the skills necessary to effectively analyze and interpret data.

Course Syllabus

How Do Big Data and Data Analytics Change IT Analysis

Machine Learning, Weak AI (ANI), and Strong AI (AGI)

The Business Analyst Role in Implementing AI-Based Business Solutions