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QLS endorsed Qualification | Fully Online Course | Tutor Support | Well Planed Study Materials
Thinking about learning Ethics in IT? The BCS Foundation Award in Understanding Ethical Principles in the IT Profession explore ethics in relation to your own role and the ethical principles upheld within the IT profession. It identifies common threats to ethical behaviour in IT and the safeguards that can help to minimise these threats. It also explores the role of legislation and corporate governance in ensuring ethical standards are promoted and maintained You will learn an understanding of The Importance of Ethics to Society, Business and IT Professionals, knowledge of The Ethical Behaviour Required by IT Professional, understanding The Role of Corporate Governance, understand Relevant Legislation and understand Ethical Dilemmas And Safeguards.
Machine Learning and other AI: Are You Ready? Machine Learning is the latest 'hot' title in computing and Artificial Intelligence. It sounds new but is influencing your life already. Machine Learning and AI will affect more and more of your life as they mature and more enabling technologies intersect with them. Machine Learning will change many disciplines and careers, overcoming scale issues, enabling better knowledge and insights, and augmenting many professions. Are you ready? This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.
This course covers the basic concepts of machine learning (ML) that are crucial for getting started on the journey of becoming a skilled ML developer. You will become familiar with different algorithms and networks, such as supervised, unsupervised, neural networks, Convolutional Neural Network (CNN), and Super-Resolution Convolutional Neural Network (SRCNN), needed to develop effective ML solutions.