AI FOR COMPANIES

AI Hackathon

Go beyond just creating effective prompts. Build an AI application from scratch - no coding required!

This 1.5 day workshop will have you following the double diamond sprint methodology, taking your idea for an AI application from inception to reality.

  • 16 participants
  • 1.5 days, instructor-led
  • Virtual
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AI Skills Training

Hello, World

Led by expert facilitators, you’ll use the design print methodology to build and deploy a working AI application, based on a real business case.

Discover

  • Use the Job To Be Done framework to design your AI application, starting with what your users need.

Define

  • Identify the relevant data and tech required to build your AI solution, and set measurable goals to track success.

Develop and Deliver

  • Build and deploy your AI application using ChatGPT, Make.com and Copilot before exploring the value of incremental improvement.

Case Study

Publicis GmbH

100%
Participants now confident in using AI
56
NPS Score
3.9 h/week
Average time saved per participant a week
Tamara Breitbart
Publicis
“The program provided great insights. I didn't start from zero but seeing a structured approach to prompts again was really useful. Being taught the ability to build a GPT yourself was very cool and will be very helpful in my day-to-day role.”
Overview
Challenge
Solution
Impact

Publicis GmbH is the German arm of Publicis Groupe, a world leading communications organization. They were already rolling out AI training for their teams but needed specific programs for AI power users. They needed to:

  • - Equip their advanced AI users with the skills to develop sophisticated, no/low-code AI solutions.

  • - Create AI applications quickly and efficiently without compromising on innovation.

  • - Build on the team’s foundational AI knowledge and still align with business needs.

Publicis GmbH needed a hackathon capable of upskilling their advanced AI users yet align with existing training programs, enabling them to create sophisticated, no/low-code AI applications tailored to client demands.

  • - With increasing client demand for AI solutions, adapting to the evolving landscape was crucial to stay competitive.

  • - Although participants were advanced AI users, they needed swift, no/low-code interventions to maximize accessibility.

  • - The introduction of fresh insights needed to align seamlessly with existing AI training initiatives.

  • - Building on the team's foundational AI knowledge, the program aimed to advance their skills for creating sophisticated AI applications.

A two-day workshop helped them create and deploy AI prototypes through hands-on experience with some of the most impactful AI tools:

  • - Using a fictional client brief, the team built an AI solution, enhancing their ability to address future client needs.

  • - Participants gained practical knowledge of tools like ChatGPT and Make.com, building and deploying a working prototype.

  • - They learned a repeatable, structured process grounded in Design Sprint methodology for future AI projects.

  • - The program was carefully integrated to seamlessly align with ongoing AI initiatives.

The hackathon delivered practical, actionable insights, receiving a strong 4.2 out of 5 feedback rating. Participants highlighted the following key outcomes:

  • - Enhancing understanding of data-driven design, MVPs and connecting automations with AI tools.

  • - Providing a well-structured approach to integrating processes and methods into current workflows.

  • - Fostering collaboration and networking, empowering teams to experiment with AI tools like GPT APIs and automation pipelines.

AI COURSE BREAKDOWN

What This Course Includes

Build and deploy a functional AI application using the design sprint methodology, based on a real business case relevant to your industry.

Four modules delivered over 1.5 days
Two expert facilitators
Pre and post course benchmarking
AI 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: Discover
3 hours

What’s included: In the discovery phase, participants will identify key business challenges and opportunities by analyzing client needs, market trends and areas where AI can deliver impact.

‍

Learning Outcomes:

  • Identify business problems that generative AI can address, including improving efficiency, customer engagement and personalization.
  • Use frameworks like "Jobs to Be Done" to clarify user needs and strategic business objectives.
  • Generate and prioritize high-impact AI solution ideas relevant to the business case.
  • Assess different OTS tools that can assist in building an AI application, using minimal code.
Module 2: Define
3 hours

What’s included:

This module focuses on translating ideas into actionable plans by defining a Minimum Viable Product (MVP) that aligns with business goals and success metrics.

‍

Learning Outcomes:

  • Define a clear business case for the AI application, specifying measurable success metrics.
  • Blueprint the MVP, and set clear metrics for success.
  • Assess data, technology and resources required for implementation.
Module 3: Develop
3 hours

What’s included:

Participants will develop their MVPs using no/low-code tools, integrating AI capabilities and refining outputs through iterative testing and feedback.

‍

Learning Outcomes:

  • Build an AI-powered solution using tools like Make.com and OpenAI APIs.
  • Connect data sources, such as APIs or spreadsheets, to provide dynamic functionality.
  • Test AI models and outputs to ensure the solution meets business objectives (e.g. cost savings and improved user experience).
  • Optimize performance through prompt engineering, data refinement and iterative improvements.
Module 4: Deliver
3 hours

What’s included:

In the final phase, participants will prepare their AI applications for scaled deployment, addressing both technical and organizational factors to ensure business success.

‍

Learning Outcomes:

  • Develop a strategy to scale the AI solution across different teams or departments.
  • Implement infrastructure, data management and performance monitoring to support large-scale deployment.
  • Identify and address organizational barriers to AI adoption, such as change management and stakeholder buy-in.

This program is for teams that want to

Advanced your AI Skills

Move beyond the basics and empower your team to think like product managers, building AI applications that deliver real business value.

Create Momentum for Change

Foster collaboration and drive progress by developing AI solutions as a team, using practical tools and strategies to keep the momentum going.

Learn a Repeatable Process

Apply the design sprint methodology—an adaptable, repeatable process—to tackle a variety of business challenges and scale AI innovation effectively.

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.

Tom Szekeres

AI Marketing Expert

Niall McKinney

Non-exec Chair

Meet the team
Coteam Ltd. UK 


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