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
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.