AI for Leaders
Learn how to put AI to work for your organisation.
THIS COURSE IS NOW LICENSED TO PEARSON. DETAILS FOR ENROLLING WILL BE AVAILABLE SHORTLY.
Scope of the Course
Learn how to develop AI capacity across your organisation.
Who is the intended audience for the course?
Organisation leaders, directors, managers and project managers
What is the need for this course, and why will participants benefit from it?
AI promises to be the most disruptive class of technologies during the next 10 years. Global business value derived from artificial intelligence (AI) is projected to total $1.2 trillion in 2018, an increase of 70 percent from 2017, according to Gartner, Inc. AI-derived business value is forecast to reach $3.9 trillion in 2022 . Yet, to many people, AI is the domain of only very bright people with well-developed maths and computer science skills. But to take advantage of AI, leaders need to understand how to frame AI within their organisation and guide its implementation and use.
The aim of this course is to break down the complexities behind AI, make it accessible, and enable leaders to govern AI – regardless of their background.
This course will provide guidance for how to develop AI capacity across an organisation. It will explain the capabilities of AI, with examples of how it’s being used by forward thinking organisations. It will explore what leaders need to do to start their AI journey and how they can get the most out of this exceptionally disruptive technology. The course funnels thinking towards creating a practical, usable AI plan – something that leaders can use immediately.
What are the learning outcomes?
At the end of this course, participants will have acquired the following:
- Strategies for taking advantage of AI
- Select and organise AI methods, and processes
- Use basic AI solution development and architecture methods
- Enough technical know-how to appreciate opportunities, challenges, and options
- How to plan for AI
- How to implement AI solutions for maximum impact
- Analyse and evaluate key AI drivers
- Be able to frame AI opportunities
- Guide the development of an AI solution
- A framework for thinking about AI as an organisational leader
- Sets of questions for each aspect of planning and implementation
- Planning templates
Start3.0 'Learning From Data' Overview (11:44)
Start3.2 Machine Learning
Start3.3 Deep Learning
Start3.4 Businesses Built on Data - Google and Facebook
Start3.5 AI for Forecasting, Amazon Case Study
Start3.6 Scaling AI Case Study, UBER
Start3.8 Discussion Points
Course duration: 16 hours
Course licence: 6 months
Mike’s passion is to simplify Deep Tech to enable organisations grow, and help people to learn.
In September 2013, after a long and successful career at Microsoft, Mike founded what was to become learn-tech.io - a company dedicated to democratising Deep Tech, and helping people develop technical, scientific, mathematics, engineering and business knowledge and skills. learn-tech.io now has customers for its products and services in UK, Singapore, China and Australia.
Mike started his career in automotive engineering, spent 10 years teaching and at Secondary and University levels, then worked at Microsoft for 13 years before founding his current business. His experience spans the full spectrum of technology - from AI to Zero Emissions solutions.
Learn-tech.io provides custom learning and technology solutions to organisations such as Pearson, Intel, Microsoft, ARM, BBC, Singapore Science Centre, RM Plc, Box Hill Institute, Burges Salmon and the Bristol Technology and Engineering Academy.
The learn-tech.io organisation includes partners in Asia, and “Deep Tech Task Force” - a team of interns focussed on simplifying a wide range of aspects of Deep Tech from Neural Networks, to FinTech, to Law and Public Policy.
Mike is the author of the “AI Demystified” and “How to Make a Mind?” courses. He has delivered keynote speeches across the world on a range of technology related subjects and has worked at senior level in over 30 countries.