Artificial
Intelligence
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Duration:
Self-pace
Fee & Scholarship:
Flexible payment and scholarship.
PEARSON
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.
Our capabilities include combining world-class educational content and assessment, powered by services and technology, to enable more effective teaching and personalised learning at scale. Our capabilities are based on our deep expertise in how people learn.
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Artificial Intelligence
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 is designed 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.
Learning Outcome
- 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
Course Structure
- Introduction to the Course
- Hello AI
- Getting Started
- Working In The Sandbox
- Legal Notices
- Where is AI?
- Machine Learning First Steps
- Neural Network – First Steps
- Building A Fraud Detector
- Building a Machine That Learns
- Learning From Data
- Preparing Data
- Data Formats
- Working With Arrays
- Working With DataFrames
- Regression
- Classification
- Credit Scoring
- Pricing
- Classifying Images
- Classifying Words
- Key Neural Network Functions
- Essential Neural Network Mathematics
- A Neural Network in 9 Lines of Code
PEARSON Artificial Intelligence
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