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    AI Development Pipeline: From Conceptualisation to Deployment - Foundation Module 4

    AI Development Pipeline: From Conceptualisation to Deployment - Foundation Module 4 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.

    AI Development Pipeline: From Conceptualisation to Deployment - Foundation Module 4 Course Objectives

    • Understand the stages of the AI project development lifecycle.
    • Learn best practices in AI model development deployment and scaling.
    • Manage ongoing monitoring and maintenance of AI systems.

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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,

    • AI Development Pipeline: From Conceptualisation to Deployment - Foundation Module 4 Delivery Format

      In-Person

      Online

    • AI Development Pipeline: From Conceptualisation to Deployment - Foundation Module 4 Outline

      Part 1: Introduction to the AI Development Lifecycle (45 minutes)
      • Content: Stages in AI project development; Key considerations in the AI development
      process.
      • Assessment: Multiple-choice quiz (10 minutes) on AI development stages.

      Part 2: Model Development and Validation (45 minutes)
      • Content: Principles of AI model development and training; Techniques for model validation
      and testing.
      • Assessment: Scenario-based MCQs (10 minutes) on model development and validation.

      Part 3: AI Deployment and Scaling (45 minutes)
      • Content: Deploying AI models effectively; Considerations for scaling AI solutions.
      • Assessment: Multiple-choice quiz (10 minutes) on AI deployment and scaling.

      Part 4: Monitoring and Maintenance of AI Systems (45 minutes)
      • Content: Best practices for AI system monitoring and maintenance; Updating and improving
      AI models.
      • Assessment: Scenario-based MCQs (10 minutes) on maintaining and improving AI systems.

      Final Assessment (30 minutes)
      • Content: Comprehensive review of the AI development pipeline.
      • Assessment: Final MCQ test (30 minutes) on practical application in AI development.