Measuring AI Impact and ROI in Organisational Settings - Practitioner Certification Module 4 Course Overview
Elevate your proficiency in Applied AI with our Practitioner Certificate in Applied AI, designed for
individuals who have a solid foundation in AI principles and are ready to advance their skills. This
advanced program covers post-AI deployment ethical considerations and AI regulations, applications
of AI in NLP, the creative and innovative uses of AI, and techniques for measuring AI impact and ROI.
By completing this certificate, you will:
• Delve deeper into the ethical, regulatory, and societal impacts of AI, ensuring responsible
and compliant AI implementations.
• Explore specialized applications of AI in natural language processing and creative industries,
enhancing your capabilities in these cutting-edge areas.
• Develop expert skills in evaluating the effectiveness and ROI of AI projects, a critical
competency for any AI practitioner in business and technology sectors.
Measuring AI Impact and ROI in Organisational Settings - Practitioner Certification Module 4 Course Objectives
- Learn techniques for evaluating the impact of AI initiatives.
- Calculate and track the ROI of AI projects.
- Analyse real-world examples of AI-driven business transformations.
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Key Point of This Training Program
We have different work process to go step by step for complete our working process in effective way.
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Designed for a range of learners, from newcomers to seasoned professionals.
Participants must have completed modules 1-4 of the Applied AI Foundation Certification Program.
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Measuring AI Impact and ROI in Organisational Settings - Practitioner Certification Module 4 Delivery Format
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Measuring AI Impact and ROI in Organisational Settings - Practitioner Certification Module 4 Outline
Part 1: Assessing AI Impact (45 minutes)
• Content: Techniques for evaluating the impact of AI initiatives; Metrics and KPIs for AI
projects.
• Assessment: Multiple-choice quiz (10 minutes) on AI impact assessment methods.
Part 2: Calculating AI ROI (45 minutes)
• Content: Methods to calculate and track ROI of AI projects; Comprehensive ROI analysis
considerations.
• Assessment: Scenario-based MCQs (10 minutes) on calculating AI ROI.
Part 3: Case Studies in AI Impact and ROI (45 minutes)
• Content: Real-world examples of AI business transformations; Analysis of ROI from AI
projects.
• Assessment: Scenario-based MCQs (10 minutes) on AI impact and ROI case studies.
Final Assessment (30 minutes)
• Content: Review of techniques for measuring AI's impact and ROI.
• Assessment: Final MCQ test (30 minutes) covering impact and ROI assessment in AI.
