AI FOR TEAMS
Boost team confidence in using generative AI for a range of communication and marketing-related tasks.
Get hands-on with a suite of AI tools that will improve productivity by streamlining campaigns, creating engaging content and changing the way you approach communications forever.
AI Skills Training
This expert-led half-day mini lab covers the AI essentials to help you research, build and measure a marketing campaign.
Use generative AI to create detailed target personas as well as identify and define brand positioning.
Learn how to prompt AI to generate kick-ass copy, eye-catching images and captivating video that make your campaigns stand out.
Utilize AI to analyze data and gain a deeper understanding of campaign performance to inform future content strategy.
Case Study
Global environmental non-profit, The Nature Conservancy (TNC), was eager to be at the forefront of AI adoption and sought to empower their communication teams with AI skills to:
- Enhance productivity and alleviate busy workloads.
- Maintain global team alignment on AI knowledge.
- Alleviate employee concerns over AI adoption.
TNC needed a scalable solution to develop AI skills that allowed dispersed communications teams to maintain high productivity but reduce workload. They needed to:
- Provide relevant and consistent AI skills to over 200 communication professionals.
- Maintain engagement in a virtual learning environment by adapting content to suit various roles and regions.
- Reduce time spent on menial tasks, ensuring participants could apply their new skills to daily work immediately.
- Reduce resistance to AI adoption. Concerns over relevance and complexity required overcoming barriers to learning.
Working closely with TNC, we developed and delivered a series of half-day virtual workshops that included:
- Interactive peer-learning exercises and real-world case simulations for participants to practice and exchange insights on best practices.
- Follow-up eLearning modules designed to reinforce learning and encourage ongoing skill development.
- Post-training support to encourage ongoing AI adoption and innovation within their teams.
- Actionable frameworks and strategies for team implementation and use of AI tools in communications-related tasks.
TNC’s communications team transformed efficiency and AI adoption as a result of the program. The impact has been immense, with a fundamental shift in the way they work.
- Attendees better understood how AI accelerates comms tasks, including content creation, campaign measurement and persona development.
- Despite initial resistance, graduates are now AI advocates, leading the way in AI adoption across the company.
- TNC intends to expand AI training to more teams and regions.
AI COURSE BREAKDOWN
This hands-on, half-day program introduces participants to a suite of powerful AI communications tools, including LLM’s (large language models) and how to use them for a variety of comms-related tasks.
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.
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.
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.
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.
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.
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.
What’s included:
The first module focuses on how generative AI is disrupting communications and focuses on a team gap analysis to identify opportunities and threats.
Learning Outcomes:
What’s included:
Participants use AI to create audience personas, and conduct research on their specific needs to inform key work and content strategy.
Learning Outcomes:
What’s included:
Generative AI is a powerhouse, producing and localizing content at scale. Module three introduces useful frameworks to ensure AI-generated content isn’t just white noise.
Learning Outcomes:
What’s included:
How do you know if your content is successful? Generative AI can be a huge timesaver when analyzing campaigns, turning your PR/Communications team into data pros.
Learning Outcomes:
What’s included:
This final module reflects on participant’s learnings and develops actions they can take back to their teams.
Learning Outcomes:
Master using generative AI to optimise communications campaigns.
Take the guesswork out of using generative AI for marketing and communication tasks.
AI isn’t going to replace communications teams. But people with the relevant skills to leverage AI just might. This is your chance to get ahead of the competition.
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.
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.
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.
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