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Learning And Development (L&D) With Generative Ai

Posted By: ELK1nG
Learning And Development (L&D) With Generative Ai

Learning And Development (L&D) With Generative Ai
Published 1/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 8.32 GB | Duration: 3h 54m

A Comprehensive Course on Using Artificial Intelligence (AI) in Learning and Development

What you'll learn

Understand the fundamentals of generative AI and its applications in corporate Learning and Development.

Create personalized learning experiences using AI tools like ChatGPT and machine learning systems.

Identify and predict skill gaps with AI to proactively design targeted training programs.

Automate content creation, including training modules, quizzes, and assessments, using AI.

Integrate AI tools seamlessly into existing learning management systems and workflows.

Develop strategies to address organizational resistance to AI adoption in L&D.

Use AI to analyze learner data, track progress, and enhance engagement in real-time.

Combine AI-driven efficiency with human-centered mentoring for impactful learning outcomes.

Requirements

A basic understanding of Learning and Development and some experience using ChatGPT are required. Access to a computer and internet is also essential.

Description

Let me ask you something—how would it feel if you could make your training programs smarter, faster, and more impactful without adding extra hours to your workday? That is exactly what Learning and Development with Generative AI is all about.This course is designed to give you the tools and confidence to use AI in ways that genuinely transform the way you approach L&D. Whether you are a seasoned professional or just starting to explore the world of AI, I promise you will walk away with practical skills that you can start using immediately.Here is what we will cover:AI in Action: We will dive into real-world examples of how AI tools, like ChatGPT and machine learning systems, are already being used to personalize learning, predict skill gaps, and create engaging content. And no, you do not need to be a tech wizard to make this work!Hands-On Learning: You will get to roll up your sleeves and try out AI tools yourself. We have designed activities and scenarios that will help you apply what you have learned in a way that is simple and practical.Real-World Success Stories: Curious about what is possible? I will walk you through how companies like IBM and Google are using AI to take their training programs to the next level—and how you can do the same.Making AI Work for Your Team: It is not just about the tools; it is about the people. We will explore strategies for introducing AI in a way that is smooth, effective, and gets everyone on board.By the end of this course, you will not just know what AI can do; you will have the confidence to use it to make your training programs more engaging, efficient, and future-ready. And do not worry—AI is not here to replace the human touch. It is here to make your job easier so you can focus on what really matters: helping people learn and grow.Does this sound like a plan? Let us get started!

Overview

Section 1: Introducing AI in Learning and Development

Lecture 1 Introduction to the Course

Lecture 2 What is AI and how is it impacting corporate learning?

Lecture 3 Common AI tools used in L&D

Lecture 4 Case studies showcasing AI's impact in corporate learning programs

Lecture 5 Activity: Case Study Analysis (AI-Powered Learning at Accenture)

Section 2: Change Management and AI Adoption in L&D

Lecture 6 Understanding organizational resistance to AI adoption

Lecture 7 Strategies for effective change management in AI implementation

Lecture 8 Engaging stakeholders and driving AI literacy in L&D teams

Lecture 9 Steps to create a smooth AI adoption roadmap

Lecture 10 Activity: Change Management Plan for AI Adoption

Section 3: AI-Enhanced Communication and Collaboration in L&D

Lecture 11 AI tools for streamlining communication in L&D teams

Lecture 12 Enhancing remote collaboration using AI-powered platforms

Lecture 13 AI-driven chatbots and virtual assistants to support learners

Lecture 14 The role of AI in managing knowledge-sharing and documentation

Lecture 15 Activity: Design a Communication Plan Using AI Tools

Section 4: AI-Enhanced Content Creation

Lecture 16 AI tools for automating content creation and curation

Lecture 17 Designing adaptive learning content with AI insights

Lecture 18 Customizing learning modules for diverse learner needs

Lecture 19 Using Chat GPT to create a Training Module

Lecture 20 Activity: Create a Mini-Module Using ChatGPT

Section 5: Personalized Learning Through AI

Lecture 21 Using AI to track learner progress and tailor learning paths

Lecture 22 Adaptive learning technologies that adjust content delivery

Lecture 23 Data-driven personalization in improving learning outcomes

Lecture 24 Ethical considerations when personalizing learning experiences

Lecture 25 Case Study Activity: Designing Personalized Learning Paths Using AI

Section 6: Analytics and Learning Data

Lecture 26 Capturing and analyzing learning data using AI

Lecture 27 Interpreting AI-generated reports to inform L&D strategies

Lecture 28 Privacy and security best practices for learner data

Lecture 29 Using analytics to refine and optimize training programs

Lecture 30 Activity: Analyzing Learner Data with ChatGPT for Program Recommendations

Section 7: AI Integration with Training Platforms

Lecture 31 Integrating AI with LMS/LXP and other learning technologies

Lecture 32 AI-based tools for automating administrative tasks in LMS

Lecture 33 Creating seamless learning experiences using AI-driven workflows

Lecture 34 Activity: Developing a Report on LMS and LXP Features and Functions

Section 8: Driving Engagement with AI

Lecture 35 Using AI to gamify learning and create simulations

Lecture 36 AI-driven feedback systems to keep learners motivated

Lecture 37 Maintaining a human touch in AI-augmented learning environments

Lecture 38 Activity: Designing an AI-Driven Learner Engagement Campaign

Section 9: AI for Skill Development

Lecture 39 AI-driven skill gap analysis and workforce development

Lecture 40 Predictive models for future competency needs

Lecture 41 Measuring the impact of AI-driven skill development programs

Lecture 42 Activity: Creating a Talent Development Plan Using AI Insights

Section 10: AI and Ethical Use in L&D

Lecture 43 Ethical implications of AI in personalized learning

Lecture 44 Creating ethical AI use policies for your organization

Lecture 45 Activity: Drafting an Ethical AI Adoption Strategy

Section 11: Continuous Improvement with AI in L&D

Lecture 46 Continuous Improvement with AI in Learning & Development

Section 12: Future of AI in Learning and Development

Lecture 47 Future of AI in L&D

Lecture 48 Conclusion and The Road Ahead

Learning and Development professionals seeking to modernize training strategies with AI.,HR practitioners aiming to enhance employee engagement and skill development.,Corporate trainers and educators interested in personalized and data-driven learning solutions.,Professionals familiar with ChatGPT and L&D basics, eager to explore AI’s practical applications.,Anyone passionate about leveraging AI to create scalable, impactful training programs.