Digital Learning Experience:
Online / Blended Weekend intensive delivery
We are the world’s learning company with more than 22,500 employees operating in 70 countries. We provide content, assessment and digital services to learners, educational institutions, employers, governments and other partners globally. We are committed to helping equip learners with the skills they need to enhance their employability prospects and to succeed in the changing world of work. We believe that wherever learning flourishes so do people.
We provide content, assessment and digital services to learners, educational institutions, employers, governments and other partners globally. We are committed to helping equip learners with the skills they need to enhance their employability prospects and to succeed in the changing world of work. We believe that wherever learning flourishes so do people.
We are shifting from a product-centred approach to a learner-centred model. This means our portfolio of products can now be integrated around the learner, meeting their needs throughout their learning life. This relentless focus on learner needs is driving a new approach to how we deliver learning. The new Pearson Learning Platform will be the platform on which the future of learning will be built. This will be an engaging, immersive learning experience that is highly personalised.
We are now on the cusp of the next phase in the Pearson transformation. One of the biggest issues the world faces today is the exponential pace of digital disruption – through AI, machine learning and automation.
Digital Learning Experience:
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 de-mystified isdesigned to get you started.
AI de-mystified 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.
- 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.
WHAT IS AI?
WORKING WITH DATA
MACHINE LEARNING APPLICATIONS
Digital Learning Experience: Artificial Intelligence
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