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    Harnessing the Power of AI in a Data-Driven Organisation - Foundation Module 2

    Harnessing the Power of AI in a Data-Driven Organisation - Foundation Module 2 Course Overview
    Begin your journey into the practical world of AI with our Foundation Certificate in Applied AI. This
    program is meticulously crafted for those starting in the field or aiming to strengthen their

    foundational knowledge in Applied AI. The certificate spans the essentials of AI readiness, data-
    driven AI strategies, AI strategy development and skill sets, and the AI development pipeline.

    Completing this program will enable you to:
    • Understand the fundamental concepts and applications of Applied AI, setting a solid
    foundation for further exploration and specialization.
    • Develop key skills to assess AI readiness and integrate AI strategies effectively within various
    business contexts.
    • Gain essential insights into the AI development process, from conceptualization to
    deployment, preparing you for more advanced studies and applications in Applied AI.

    Harnessing the Power of AI in a Data-Driven Organisation - Foundation Module 2 Course Objectives

    • Comprehend the role of AI in data-driven organisations.
    • Implement strategies for effective data management and AI-driven decision-making.
    • Analyse real-world case studies of AI integration in various industries.

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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.
    • Prerequisites

      Designed for a range of learners, from newcomers to seasoned professionals,

    • Harnessing the Power of AI in a Data-Driven Organisation - Foundation Module 2 Delivery Format

      In-Person

      Online

    • Harnessing the Power of AI in a Data-Driven Organisation - Foundation Module 2 Outline

      Part 1: Introduction to Data-Driven AI Strategies (45 minutes)
      • Content: Understanding data-driven organisations; Role of AI in data-centric approaches.
      • Assessment: Multiple-choice quiz (10 minutes) on data-driven AI strategies.

      Part 2: Effective Data Management and Analytics (45 minutes)
      • Content: Strategies for managing and analysing large datasets; AI tools in data processing
      and analytics.
      • Assessment: Scenario-based MCQs (10 minutes) on AI tools in data management.

      Part 3: AI-Driven Decision Making (45 minutes)
      • Content: Incorporating AI in decision processes; Best practices for AI and data insights.
      • Assessment: Multiple-choice quiz (10 minutes) on AI in decision-making.

      Part 4: Case Studies in AI Integration (45 minutes)
      • Content: Real-world AI integration case studies; Industry insights and lessons.
      • Assessment: Scenario-based MCQs (10 minutes) on AI-driven transformations.

      Final Assessment (30 minutes)
      • Content: Comprehensive review of course content.
      • Assessment: Final MCQ test (30 minutes) on practical application and case studies.