AI FOR TEAMS

AI for Learning & Development

Take learning from inception to delivery in hours, not weeks.

Supercharge your learning design process with the power of AI; seamlessly integrating AI at each stage of the learning design process.

  • 16 participants
  • 12 hours over six weeks, instructor-led
  • Virtual delivery
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AI Skills Training

Transform Learning Design

Equip your L&D team with the necessary AI skills in three expert-led practical workshops:

Understand Your Learners

  • Leverage generative AI to perform in-depth training needs analysis and enhance your research capabilities.

Design Engaging Learning Content

  • Use a range of AI tools to build compelling and impactful learning materials including slide decks, avatars, eLearning modules and facilitation guides.

Measure Impact

  • Effortlessly create rubrics and formative assessments with ease and translate training content into multiple languages.

Case Study

World Bank Group

100%
Participants increased confidence in using AI in L&D
89
NPS Score
4.6 h/week
Average time saved per participant a week
Josebe Bilbao-Henry
World Bank Group
“A really smart and thoughtful session which way very engaging. The facilitators did an excellent job connecting us with specific tools that amplify our output”
Overview
Challenge
Solution
Impact

World Bank Group, a major institution offering financial and technical assistance to developing nations, needed to rapidly upskill L&D leaders to:

  • - Develop a plan to effectively use AI to improve efficiency within the learning design process.

  • - Use AI to enhance the creation of impactful in-house training, aligning with evolving business needs.

  • - Increase company-wide confidence in AI by facilitating hands-on experience with impactful AI tools.

As a large international organization, World Bank Group faced a significant challenge in standardizing AI tools and employee confidence within its learning processes. They needed to:

  • - Enhance in-house learning design processes by upskilling leaders with practical AI skills and strategies for rapid implementation.

  • - Ensure L&D leaders understood each stage of the ADDIE learning design process and how AI could be seamlessly integrated.

  • - Align knowledge, boost confidence and standardize AI practices across L&D, driven by a strong desire to champion AI.

  • - Alleviate fears around AI and data sensitivity.

A one-day workshop where participants could work through the ADDIE learning design process, incorporating best practice for AI implementation in the form of:

  • - Integrating AI at each stage, and actionable frameworks and strategies for immediate implementation.

  • - Equipping participants with the skills to use AI tools to streamline learning design processes and impact everyday work.

  • - Exploring AI’s capabilities and limitations to foster a deeper understanding whilst minimizing the risk of misuse.

  • - Empowering participants to act as ambassadors for AI adoption within their teams to increase innovation and expand capabilities.

Leaders from the World Bank Group developed advanced AI skills, becoming advocates for AI-driven transformation across the organization.

  • - Participants were empowered to drive broader AI adoption to boost efficiency and productivity.

  • - AI fears were alleviated, replaced by a greater curiosity to experiment and innovate freely.

  • - Through expanding their perspectives, participants felt confident to reshape the learning environment organization-wide.

AI COURSE BREAKDOWN

What This Course Includes

Over six weeks, your L&D team will get hands-on with AI tools to create and deliver a real world training initiative.

Six weeks of guided content (16 total hours of learning)
Facilitator, community manager and guest speakers
Pre and post course benchmarking
AI for L&D best practice toolkit
Module 1: Mind the gap

This module provides an introduction to the fundamentals of generative AI, examining the organisation's current use of AI and identifying future goals. Participants will explore AI’s capabilities, opportunities, limitations, and where it can automate or augment tasks.

Learning Outcomes:

• Understand the key capabilities and limitations of AI.
• Identify opportunities for AI integration within their role.
• Gain clarity on the organisation’s internal AI policies.
This module provides an introduction to the fundamentals of generative AI, examining the organisation's current use of AI and identifying future goals.
Participants will explore AI’s capabilities, opportunities, limitations, and where it can automate or augment tasks.
Learning Outcomes:Understand the key capabilities and limitations of AI.
Identify opportunities for AI integration within their role.Gain clarity on the organisation’s internal AI policies.

Module 2: Prompt Engineering 101

This module introduces participants to prompt engineering, teaching them how to craft effective prompts to interact with AI tools. Participants will develop their own prompts relevant to their roles, and explore a structured framework for advanced prompting techniques.

‍Learning Outcomes:
• Develop a more sophisticated approach to crafting AI prompts.
• Learn how to use a structured framework for prompt engineering.
• Gain practical experience creating prompts for immediate application.

Module 3: Data Analysis

In this module, participants will learn how to use AI for data analysis, reducing the time spent on data processing and reporting. They will work with AI tools to visualise data and generate insights, including exporting findings into presentations.

‍Learning Outcomes:
• Analyse and visualise data using AI tools.
• Learn how to use AI to automate data reporting processes.
• Gain the ability to export AI-driven insights into professional visualisations.

Module 4: Planning Automations and AI Agents

This module focuses on identifying opportunities for automation within workflows. Participants will prototype automation flows and AI agents without the need for coding, exploring how AI can streamline processes within their teams.

‍Learning Outcomes:
• Identify automation opportunities in individual and team workflows.
• Design and prototype an AI automation flow.
• Understand how to deploy automation solutions with technical support.

Module 5: Emerging AI Tools

Participants will explore the latest AI tools and assess their potential impact on business operations. They will be encouraged to identify relevant tools and pitch innovative ideas for their application within their organisation.

‍Learning Outcomes:
• Stay up-to-date with emerging AI tools and trends.
• Assess the relevance and business impact of new AI tools.
• Develop and pitch a business case for adopting an AI tool.

Module 6: Entrepreneurial Thinkin

Participants will explore the latest AI tools and assess their potential impact on business operations. They will be encouraged to identify relevant tools and pitch innovative ideas for their application within their organisation.

‍Learning Outcomes:
• Develop a change-management mindset towards AI adoption.
• Create actionable plans to implement AI strategies within their teams.
• Foster an entrepreneurial approach to driving AI innovation.

Module 1: Analyze
2.5 hours

What’s included:

In our first week, participants will familiarise themselves with the ADDIE model, then jump straight into the Analyze phase, using a LLM (Large Language Model) to create and deploy a Training Needs Analysis (TNA). 

‍

Learning Outcomes:

  • Discuss the basics of prompt engineering and how to use the CREATE framework for structured prompting. 
  • Practice using ChatGPT to produce a TNA and automating it into a survey tool.
  • Demonstrate how to use AI to analyze the TNA and generate insights to inform learning needs.
  • ‍Application task: Create a TNA survey, collect data, analyse it and create session outcomes.
Module 2: Design
2.5 hours

What’s included:

Participants will use AI tools like Perplexity.ai to conduct subject matter research and build lesson plans, based on robust learning frameworks like Blooms Taxonomy. 

‍

Learning Outcomes:

  • Explore how tools like Claude and Perplexity help conduct subject matter research.
  • Create session outcomes based on that research.
  • Discuss key concerns about using confidential or proprietary data in openly available LLM's.
  • ‍Application task: Research your chosen subject and use AI to draft your session learning outcomes.
Module 3: Develop
2.5 hours

What’s included:

Enhance your design process by building different types of learning content with AI tools. From PowerPoint decks to facilitation guides, interactive avatars and other types of rich media, you’ll be amazed at the capabilities of generative AI. 

‍

Learning Outcomes:

  • Leverage AI to build content including PPT decks, facilitation guides and learning activities.
  • Explore AI tools to generate videos, avatars and music, as well as translate materials into different languages.
  • Discuss issues around bias and copyright with AI.
  • ‍Application task: Use AI to build 5 slides of training content and a facilitation guide.
Module 4: Implement
2.5 hours

What’s included:

When it comes to implementation and deployment, AI can be a trusty sidekick, from translating materials to AI-powered coaches. This week is all about building your own GPT to automate manual tasks, freeing up time for your L&D team to focus on more strategic thinking. 

‍

Learning Outcomes:

  • Translate training materials into different languages using HeyGen and DeepL.
  • Use AI to review course materials and assess them against learner needs.
  • Create your own GPT trained on your internal training resources. 
  • Explore some of the risks of AI including hallucinations and data bias. ‍
  • Application Task: Build and train your own chatbot based on the learning materials you’ve created.
Module 5: Evaluate
2.5 hours

What’s included:

Our final week of content brings everything together to apply a critical mindset. Participants try their hand at data science using Generative AI to determine the impact of training materials. 

‍

Learning Outcomes:

  • Use AI to synthesise qualitative and quantitative data into meaningful insights.
  • Build learner satisfaction, engagement and formative assessments.
  • Discuss how AI can help create automated learner pathways.
  • Discuss AI “hallucinations" and the precautions to take.
  • Application Task: Practice using AI to generate insights from an existing data set and build a learning engagement survey.
Module 6: Graduate
1.5 hours

What’s included:

To celebrate what we’ve achieved and give the cohort an opportunity to present key learnings, we’ll recap the learning journey, showcase learning materials and collaborate on a final action plan to take back to the business. 

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Learning outcomes:

  • Share learnings and achievements with peers.
  • Discuss future opportunities to continue ongoing learning.
  • Collaborate on an action plan to take back to their teams.
  • Celebrate successes

This program is for teams that want to

Accelerate L&D Initiatives

Reduce reliance on external vendors and start designing training programs in-house using AI to save time and maximize budgets.

Feel Confident Using AI

Develop the skills and confidence to incorporate AI into existing learning design processes.

Champion AI Adoption

Empower L&D to become advocates for AI across the wider business.

Testimonials

How Edifai Makes an Impact

The National Conservancy

Whitney Hall
“The exercises were productive and allowed for helpful real-world examples of ways to use AI. I came away with a much better grasp of CoPilot and how to use it and I'm looking forward to exploring it more. Thank you!”

Sage

Harriet Bunting
"It was a really great and insightful session. I’ll be taking a lot of this away with me to use in my everyday work and share the knowledge with my team."

Meet the Experts

Martin Talks

AI Expert

At the edge of AI, society and data ethics, Josefin brings a desire to help shaping a desirable, more responsible future. Josefin has worked with digital & emerging technology transformation and learning programs spanning across all business functions.

Josefin Ittichai

Facilitator

At the edge of AI, society and data ethics, Josefin brings a desire to help shaping a desirable, more responsible future. Josefin has worked with digital & emerging technology transformation and learning programs spanning across all business functions.

Pilar Barrio

Facilitator

Pilar Barrio is a digital transformation consultant and a facilitator, who has been at the forefront of emerging technology and its application to business, media and customer experience since 2006.

Ralph White

AI in L&D specialist

Nick Villani

Co-Founder

Alexander Salas

AI in L&D specialist

Meet the team
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