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    Introduction to AI Readiness and Generative AI - Foundation Module 1

    Introduction to AI Readiness and Generative AI - Foundation Module 1 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 4 module 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.

    Essential Project Management Fundamentals Course Objectives

    • Understand the basic concepts and history of AI and Generative AI.
    • Assess organisational readiness for AI integration.
    • Develop strategies for AI adoption and fostering an AI-compatible organisational culture.

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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,

    • Introduction to AI Readiness and Generative AI - Foundation Module 1 Delivery Format

      In-Person

      Online

    • Introduction to AI Readiness and Generative AI - Foundation Module 1 Outline

      Part 1: Introduction to AI and Generative AI (45 minutes)
      • Content: Overview of AI: Definitions, history, and evolution; Basics of Generative AI and key
      examples.
      • Assessment: Multiple-choice quiz (10 minutes) on key concepts.

      Part 2: Organisational AI Readiness (30-45 minutes)
      • Content: Factors determining AI readiness in organisations; Assessing current capabilities for
      AI integration.
      • Assessment: Scenario-based MCQ assessment (10 minutes) on organisational contexts.

      Part 3: AI Integration Strategies (30-45 minutes)
      • Content: Strategies for integrating AI into workflows; Elements of an AI-compatible culture.
      • Assessment: Multiple-choice quiz (10 minutes) on strategies and cultural elements.

      Part 4: Case Study Overview (30-45 minutes)
      • Content: Analysis of successful AI implementation case study; Key lessons and practical
      takeaways.
      • Assessment: Scenario-based MCQs (10 minutes) on the case study.

      Final Assessment (30 minutes)
      • Content: Cumulative assessment covering all course parts.
      • Assessment: Comprehensive MCQ test (30 minutes) on overall understanding and
      application.