AI-Powered Analytics and Insights
About This Course
This course prepares learners for success in the data and Artificial Intelligence (AI) journey by building essential capabilities often overlooked in technical programmes: business problem framing, data and AI fluency, and decision-oriented thinking. Participants learn to apply AI models including Generative AI and Large Language Models (LLMs) - across the full business analytics lifecycle, from defining problems and exploring data to generating insights and supporting decisions.
Through hands-on training, case studies, and real-world datasets, learners use AI models to formulate hypotheses, synthesize complex information, and translate findings into actionable recommendations. Emphasis is placed on prompt design, result validation, and responsible AI use. Designed for non-technical professionals, this no-coding course enables leaners to collaborate effectively with technical teams and use AI safely and productively, serving as a critical first step in the broader data science curriculum.
What You'll Learn
• Frame business problems for analytics by turning business problems into clear analytics goals using Artificial Intelligence (AI) Models.
• Understand Generative AI and LLMs to identify and address relevant business challenges effectively..
• Apply model principles of Artificial Intelligence (AI) and (Large Language Models) LLMs. Understand core technologies and evaluate output accuracy and reliability, ethics and governance.
• Use agentic AI to automate analytics workflows and enhance decision-making efficiency.
• Design and refine prompts using zero-shot, one-shot, and few-shot techniques for optimal results.
• Apply prompt engineering, including chain-of-thought, to optimize model outputs
• Analyze, interpret, and generate structured and unstructured data to generate meaningful business insights.
• Translate analytical results into actionable insights that drive informed business decisions.
Entry Requirements
General Degree