First Semester
Analytics Projects for Evaluating and Developing Business AI Solutions
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Duration :
0 Minutes
Training Level :
Professional
Price
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Training Path Description
Build practical AI solutions: assess data, design models, and turn results into business decisions and value.
Learn how to build end-to-end analytics projects to evaluate AI opportunities and develop practical solutions aligned with business goals. The course covers how to choose the right problem, prepare and assess data, evaluate and test models, and translate outputs into an actionable implementation plan—using measurable real-world cases. By the end, you’ll be able to propose an AI project with strong quantitative justification, estimate its impact, and deliver a scalable Proof of Concept.
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What Will You Gain?
Skills related to the course
- • Convert business problems into data and modeling requirements
- • Data assessment skills (cleaning, transformation, feature selection)
- • Set up model experiments with performance and reliability metrics
- • Build and measure AI prototypes for real value
- • Produce execution-ready outputs: reports, dashboards, scaling plans
- • Understand AI/data governance basics and model constraints
Training Path Objectives
- • Identify and select AI use cases that fit business needs
- • Assess data quality and prepare datasets
- • Design an evaluation/testing framework (Offline/Online)
- • Build a scalable AI Proof of Concept
- • Create data-backed impact and ROI justification
- • Prepare an implementation plan with risks, constraints, and requirements
• Practical framework to assess AI feasibility before investing
• Data workflow from acquisition to ML-ready datasets
• Model evaluation using the right metrics to reduce risk
• Turning insights into operational decisions and scaling plans
• Near-production applications with measurable outputs