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244 Courses in Bristol delivered Live Online
Are you struggling with a Data Governance issue and wish you had a team of other Data Governance professionals you could bounce it around with? You’ve done Data Governance training and you know what you’re focusing on. While your team is supportive, you spend a lot of time dealing with, and driving forward, culture change, managing stakeholders, and fielding questions from people who have their own priorities and now need to do this ‘Data Governance stuff’ on top. It would be nice, once in a while, to have a conversation about how to achieve something free from internal issues. You want to talk about best practices and get some alternative ideas. That’s what my Data Governance Mastermind gives you: space to reflect with the support of your peers and practical solutions you can implement.
Overview Governance is now acknowledged as a core business function. Governance is not simply about compliance - whether with the law, regulation or guidance. Compliance provides a company with its 'licence to operate, but high-quality systems of governance lead to better-run companies which create, grow and protect value for all their stakeholders Objective Learn the best strategies for building a high-quality governance framework Define the role of the board of directors and your role within Explore different governance models across the globe and identify which of them works best for your organisation Recognise and deliver your obligations as a director Learn the strategies for creating and protecting value for your organisation Explore the tools to protect your organisation's reputation and brand value Gain an understanding of governance as a business-critical function Manage governance function within different business contexts - listed, private, state-owned, family-owned businesses Master the strategies for improving board effectiveness
AI Governance Professional (AIGP)
By Training Centre
Aligned with the AIGP certification program, AI Governance Professionalâ¯Training is for professionals tasked with implementing AI governance and risk management in their organizations. It provides baseline knowledge and strategies for responding to complex risks associated with the evolving AI landscape. This training meets the rapidly growing need for professionals who can develop, integrate and deploy trustworthy AI systems in line with emerging laws and policies. About This Course This training teaches critical artificial intelligence governance concepts that are also integral to the AIGP certification exam. While not purely a 'test prep' course, this training is appropriate for professionals who plan to certify, as well as for those who want to deepen their AI governance knowledge. Both the training and the exam are based on the same body of knowledge. Module 1: Foundations of artificial intelligence Defines AI and machine learning, presents an overview of the different types of AI systems and their use cases, and positions AI models in the broader socio-cultural context. Module 2: AI impacts on people and responsible AI principles Outlines the core risks and harms posed by AI systems, the characteristics of trustworthy AI systems, and the principles essential to responsible and ethical AI. Module 3: AI development life cycle Describes the AI development life cycle and the broad context in which AI risks are managed. Module 4: Implementing responsible AI governance and risk management Explains how major AI stakeholders collaborate in a layered approach to manage AI risks while acknowledging AI systems' potential societal benefits. Module 5: Implementing AI projects and systems Outlines mapping, planning and scoping AI projects, testing and validating AI systems during development, and managing and monitoring AI systems after deployment. Module 6: Current laws that apply to AI systems Surveys the existing laws that govern the use of AI, outlines key GDPR intersections, and provides awareness of liability reform. Module 7: Existing and emerging AI laws and standards Describes global AI-specific laws and the major frameworks and standards that exemplify how AI systems can be responsibly governed. Module 8: Ongoing AI issues and concerns Presents current discussions and ideas about AI governance, including awareness of legal issues, user concerns, and AI auditing and accountability issues. Accreditation The associated exam is accredited by the IAPP under its ANSI Accreditation Who Should Attend? Any professionals tasked with developing AI governance and risk management in their operations, and anyone pursuing IAPP Artificial Intelligence Governance Professional certification. Prerequisites A general understanding of AI, Corporate Governance, and Business value would be of benefit to participants. Assessment As with all IAPP exams, the AIGP is a 90 question, multiple choice exam to be completed within 150 minutes. Exams are hosted by Pearsonvue and can be taken either remotely, or via any one of hundreds of exam venues globally. A passing score is achieved at 70% Our Guarantee We are an approved IAPP training provider Exam pass guarantee, or retrain until you do, for free What's Included? Participant Guide Study Guide Practice Exam Exam voucher Breakfast, lunch, coffees and snacks (Classroom courses only) Certification Logo
