Graph Analytics with Generative AI
Training Provider: SINGAPORE POLYTECHNIC
Course Reference: TGS-2025053609
S$135
Original: S$450
Save S$315
About This Course
This course teaches how participants can use a graph database management system such as Neo4j or its equivalent, in conjunction with generative AI tools to identify key connections and uncover hidden opportunities. Participants will have hands-on experience with graph databases, enabling them to extract actionable business insights that drive decision-making and strategy.
What You'll Learn
By the end of the course, participants will:
1. Understand the fundamental concepts of Social Network Analysis (SNA), including nodes, edges, centrality, and communities, and will learn how to apply these concepts to solve business challenges such as product recommendation and social network analysis.
2. Apply their knowledge of graph databases by working with Neo4j or its equivalent to model, query, and analyse real business networks. They will utilise some algorithms and analyse complex data to extract actionable insights.
3. Learn how generative AI tool can be used in combination with SNA to create queries and generate actionable business insights.
1. Understand the fundamental concepts of Social Network Analysis (SNA), including nodes, edges, centrality, and communities, and will learn how to apply these concepts to solve business challenges such as product recommendation and social network analysis.
2. Apply their knowledge of graph databases by working with Neo4j or its equivalent to model, query, and analyse real business networks. They will utilise some algorithms and analyse complex data to extract actionable insights.
3. Learn how generative AI tool can be used in combination with SNA to create queries and generate actionable business insights.
Entry Requirements
Basic English Proficiency, Basic Computing skill and Database Knowledge.
Course Details
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