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AI007 AI Essentials For Training Managers Program – (2 Days)

Description

AI007 AI Essentials For Training Managers Program – (2 Days)

Overview

This program is designed to equip training managers with foundational knowledge and skills for incorporating artificial intelligence (AI) into corporate training. AI is revolutionizing the design, delivery, and enhancement of training programs. This certificate will guide you through the essentials of using AI effectively in training and development settings.

  • 91% positive reviews (56)
  • 291 students

This program can be tailored to your specific business needs.

A little bit of personalization goes a long way. Ask us for a no-obligation Training Needs Analysis (TNA) so we can tailor this, or any other CSG program to meet your learning outcomes.

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Objectives

At the end of the training, participants would be able to:

  • Utilize AI to perform skills gap analyses, needs assessments, competency mapping, and collaborate with subject matter experts.
  • Create AI-enhanced learning and assessment content and organize module descriptions.
  • Quickly develop personalized learning pathways and structured curriculums.
  • Integrate AI tools and analytics with existing learning management systems and educational platforms.
  • Derive detailed analytics, insights, and recommendations from learner interactions and content.
  • Address privacy and ethical considerations in AI-enhanced learning environments.

2 Days

  • L&D Managers
  • Training Managers
  • L&D Specialist

Modules:

Module 1: Introduction to AI in Learning & Development (L&D)
  • An overview of generative AI.
  • Examples of AI applications in corporate training.
  • Addressing AI limitations and strategic adoption in training.
  • Basics of dialectic rules and prompting techniques.
  • Employing AI in instructional design and ensuring quality.
  • Enhancing curriculum with AI-generated insights.
  • Techniques for capturing and analyzing educational data.
  • Ensuring privacy and security in handling learner data.
  • Applying data to improve teaching and learning strategies.
  • Techniques for accessing and interpreting LMS data.
  • Roadmap for smooth AI integration into learning platforms.
  • Strategies to enhance learning experiences using AI.
  • Predictive modeling for future skills and competencies.
  • Evaluating the effectiveness of AI in talent development initiatives.
  • Managing personalization while ensuring privacy.
  • Crafting policies for ethical AI use.
  • Evaluating organizational readiness for AI implementation.
  • Recap of generative AI’s role in L&D.
  • Key strategies for future planning in learning and development initiatives

Program Methodology

  • Hands-on Activities: Practical exercises to reinforce theoretical concepts.
  • Group Discussions: Opportunities for peer-to-peer learning and exchange of ideas.
  • Role Plays: Simulations of realistic situations to build practical skills.
  • Feedback Sessions: Reviews and reflections to encourage improvement.
  • Problem-solving Exercises: Develop critical thinking and decision-making skills.
  • Experiential Learning: Learning by doing, promoting active involvement.
  • Interactive Lectures: Engaging presentations by experts in the field.
  • Case Studies: Real-world scenarios for learners to apply their knowledge.
  • Quizzes & Tests: Regular assessments to track learning progress.

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