Say 'hello' to AI
Scope of the Course
Through hands-on experience, understand practical ways that AI can help your organisation become more productive and effective.
Who is the intended audience for the course?
Non-experts who want to understand what AI can do for their organisations, or take the lead in its implementation.
What is the need for this course, and why will participants benefit from it?
Some people claim that AI will have negative consequences for jobs and people, others say that we should embrace AI. Either way, understanding AI is now a critical weapon in your professional skills armoury.
But where do you start? AI is a vast and complex area of study, but AI Demystified is designed to get you started.
AI Demystified will enable non-experts to understand what AI is, and what it can do for you. After this course, you will understand the difference between AI, Machine Learning, and Big Data; what questions you need to be asking to whom; and what skills you and your colleagues will need to develop in order to get in front of the AI wave.
What are the learning outcomes?
At the end of this course, participants will have acquired the following:
- Recognise where AI can add value
- Select appropriate AI and machine learning models
- Relevant Maths skills
- Capabilities and constraints of AI
- How AI works, and how to build AI solutions
- Different AI models, software, languages and approaches
- Frame opportunities for using AI
- Guide the development of an AI project
- Deliver value from AI projects
- Virtual machine set up as a machine learning ‘sandbox’
- Code samples
- Use cases and models
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.