Advanced Certificate in Generative AI for Business Analyst Module 1: Business Analysis Fundamentals and Introduction to Generative AI (Classroom, Asynchronous and Synchronous E-Learning)
About This Course
From mastering the fundamentals of artificial intelligence (AI) and data preprocessing to leveraging cutting-edge generative AI algorithms for data analysis, process optimisation, and customer behaviour insights, this advanced certificate programme aims to equip participants with the capabilities to harness the potential of generative AI tools, enabling increased efficiency and the generation of comprehensive, actionable insights.
In this module, participants will learn about business analysis, data pre-processing and foundational concepts in AI and machine learning. This sets the foundation for the subsequent modules, where participants will acquire proficiency in utilising various generative AI tools such as Generative Adversarial Networks (GANs), autoencoders, and language models to optimise workflows and drive efficiency.
What You'll Learn
- Explain the role of a Business Analyst and its importance in organisations
- List examples of generative Artificial Intelligence (AI) tools and discuss their potential impact on business analysis
- Describe the rise of AI and differentiate between terms such as AI, generative AI, machine learning, and deep learning
- List some types of AI algorithms and their applications in business processes
- State real-world examples of AI-powered workflow improvements
- Explain the importance of using quality data for data analysis
- List tools that can be used for data preprocessing
- Implement techniques for data collection, cleansing, and preparation
- Explain the role of generative AI in creative problem solving for business
- List and describe types of generative AI tools: GANs, autoencoders, language models, etc.
- State the applications of generative AI in different industries
Entry Requirements
Nil