Available courses
Chapter 1 - Introduction to Artificial Intelligence
By the end of this module, participants will be able to:
- explain using basic terms the concept of Artificial Intelligence and its implications on daily lives
- describe the origins of Artificial Intelligence
- identify the significant events that have influenced the historical development of Artificial Intelligence
- identify subfields of Artificial Intelligence
Chapter 2 - Applications of AI
By the end of the module, participants will be able to:
- understand the impact of AI through Computer Vision
- make use of AI through the Internet of Things
- know more about the applications of AI in Natural Language
- appreciate AI applied in various industrial sectors and as part of everyday life.
Chapter 3 - AI Readiness
By the end of the module, participants will be able to:
- Define key attributes required for AI readiness
- Determine the barriers and actions to promote organisational readiness
- Identify technical conditions required for AI implementation
- Ascertain key benefits of AI to the environment and humanity
Chapter 4 - Ethics
By the end of the module, participants will have:
- reflected on requirements for AI systems to be ethical
- evaluated own values
- made choices and formulated arguments in this regard
Chapter 5 - Emerging technologies
By the end of the module, participants will be able to:
- express how the AI uses large amounts of data with different purposes that can be useful to businesses
- explain how technology can facilitate secure and intelligent access and management of data through the cloud and blockchain
- explain the main technologies through which artificial intelligence interacts with the physical world
- explain which are the main human-machine interaction technologies, through which artificial intelligence interacts with the human beings
Chapter 6 - Digital Transformation
By the end of the module, participants will be able to:
- explain what digital transformation is and what are the minimum aspects to consider in order to know in which stage a company is in.
- explain how a company can undertake a digital transformation project and which phases it must follow to carry it out.
- know some key considerations for budgeting for Digital Transformation, explain what kind of leadership can help a company in this transformation, and how a company can use this transformation to focus the business in the customer.
- explain the importance of staff in Digital Transformation and how a company can manage its human resources to facilitate this transformation.
Chapter 7 - Machine Learning in Practice
By the end of this module, participants will be able to:
Explain the term Classification
Explain the term and provide applications for Decision Trees
Describe the main types of learning in Machine Learning
Name a number of Machine Learning applications
Chapter 8 - Neural Networks and Deep Learning
By the end of this module, participants will be able to:
- Explain the terms Neural Networks and Deep Learning
- Describe the benefits and challenges in Deep Learning
- Name a number of Deep Learning applications
- Explore a number of Neural Networks demonstrators
Chapter 9 - The Future of Work
By the end of the module, participants will be able to:
- understand aspects of how the future of work will develop and be prepared for the impact it brings about;
- explain the main factors of the AI-Human Interface approach to the future of work;
- describe the multispeed process of AI in the Future of Work;
- embrace the transition towards a future with AI through digital skills development.