Maximise efficiency and effectiveness in your daily tasks with AI productivity enhancement tools.
Leading industries are now using GenAI for 22.8% of marketing activities.*
To help you keep up, we have one of the most practical courses in AI on the market, spread over three (3) weeks with 1:1 live coaching to allow for application to your organisation and work.
This hands-on course helps you understand the fundamentals of AI and shows you how to use it to make your daily work more productive. With practical examples and relevant use cases, you’ll see exactly where AI can save you time and effort and learn how to put it into action.
Learn from the combined experience and expertise of certified marketing practitioners, and university lecturers in AI and data science from global marketing agencies in London, UK, one of the top three global centres for AI and a global centre for the creative industries.
Who Should Attend
All marketing managers wanting to understand the impact of generative AI and general AI on marketing.
Marketing managers that want to start to practice and use generative AI in their role and keep up with the market.
This course will particularly benefit: product marketing, brand, content marketing, digital marketing managers, partnerships / alliance, market research, social media, content marketing, account based marketing, search engine optimisation (SEO), paid media, owned media, marketing comms.
Course Outline
Week 1: Learn the fundamentals of AI
1:1 coaching: your AI context (outside course hours)
- Generative AI, non-generative AI, data science, and traditional statistical improvement methods and your work context
- Common off-the-shelf AI marketing tools
- Top AI marketing use cases
- Possible use cases for applying AI to improve productivity.
Week 2: Apply AI to your work
1:1 coaching: iterating your AI to your work context (outside course hours)
- Pinpointing where AI can have the biggest impact on your role and daily marketing work
- Case study of AI applications in your daily marketing work
- Hands-on practice with AI tools for streamlining your work
- Breakout collaboration with other attendees to define your productivity enhancement AI use case.
Week 3: Get impact from your AI
1:1 coaching: sustaining your AI (outside course hours)
- Methods for measuring productivity
- Prompt engineering techniques for improving productivity
- Hands-on practice applying techniques learned
- Estimating the productivity impact of AI on your work
- Breakout: refining your productivity enhancement AI use case(s) and next steps for deployment.
Learning Outcomes
- Understood the differences between generative AI, non-generative AI, and data science and which are best for your work
- Identified areas of your work where AI can improve productivity the most
- Became familiar with and practised using common AI tools and techniques for productivity improvement
- Worked through case studies of AI applications in your daily marketing work such as administration, project planning and management, data analysis, research, content creation, and copywriting to achieve sustainable productivity improvements
- Collaborated with marketing peers in applying AI to your work
- Learned basic prompt engineering techniques, understood when to use each and how to combine them to maximise effectiveness
- Have defined a path to productivity improvements of 20+%** in your work.
This course includes
- 7 hours of total learning
- Learning over 3 weeks for maximum application to your work
- 2.5 hours of practical work and coaching
- AI toolkit with tools, templates and methods
- 3 x 1:1 live coaching session with experts over 3 weeks
*The CMO Survey, Fall 2024
** Based on AI marketing productivity improvement surveys
Facilitators
John Paul Danaee
John Paul Danaee is a British-Australian, co-founder and director of equitably.ai and CEO of AI First Trading (an equitably.ai joint venture) in London, UK.
He is a Chartered Marketer, a Fellow of the Australian Marketing Institute and the Chartered Institute of Marketing in the UK and an alumnus of the University of Sydney and UNSW, Australia. He is a Chartered Quality Professional and Lean Six Sigma certified Black Belt.
John Paul is a frequent writer and speaker on AI including the UK Department for Business & Trade, Bayes Business School (London), the Federation of Small Business and the Investment Association. He is passionate about getting impact from AI, recently published a feature in Quality World on it, organises the executive AI roundtable in London focused ROI from AI, chairs the AI working group at the Chartered Quality Insitute and working with UN’s AI for Good Learning Coalition.
John Paul has 30+ years of experience in marketing, performance improvement, and automation across technology, media, manufacturing, professional services, investment management and banking sectors in the UK, Australia, the US, Europe, and internationally in major corporations such as HSBC and tech startups including equitably.ai in roles including, marketing strategy, product management, partnerships, sales, and account management.
Dr Tillman Weyde
Dr Tillman Weyde is Director Co-founder, Artificial Intelligence & Data Science at equitably.ai in London, UK.
In his role as Director of AI, he manages data scientists working at equitably.ai, captures and translates leading-edge AI research from Universities, research centres, and partner collaborations to solve business problems through AI.
He has published 150+ peer-reviewed papers, won research grants from national and international institutions and companies, has been awarded several awards for research and developed and award-winning software.
Tillman is a Reader at the Department of Computer Science, School of Science and Technology at City, University of London. He is a member of the Research Centre for Adaptive Computing and Machine Learning and of the Data Science Institute at City, University of London.
Dr Aneesh Banerjee
Dr Banerjee is a Reader in Management and presently leads the Technology and Innovation Management subject group at Bayes Business School, City, University of London.
His award-winning research focuses on various types of technology adoption – from ERP to Automation and AI – in several industries such as high-tech, software, healthcare, fintech, cultural & creative industries.
His most recent research focuses on the perceptions and values associated with AI tools among different stakeholders within complex systems.
Pedagogically, as the founding Course Director of the online Global MBA, he led the academic development of the degree as well as courses such as ‘Competitive Edge with Digital Technologies’ and ‘Leading AI and Industry 4.0’. He teaches on the MBA, Executive MBA, as well as custom Executive Education programmes, specialising in topics on Digital Strategy. His pedagogical contributions have been recognised with the University Chancellor’s Award. Before joining academia, Dr Banerjee worked in technology consulting with leading global firms.
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