Impactful Learning and Skill development when you need it has always been our approach. Browse the categories below to access resources, tools and information to ensure you stay up to date.
NEW Topic! Artificial Intelligence
Top Resources
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Webinar
Harnessing the Potential: Advanced Techniques and Applications in Generative AI
Generative AI: Applications and Beyond webinar will introduce you to the forward-thinking realm of Generative AI and how it can revolutionise your daily job duties. Learn about its diverse real-world applications, advantages and challenges across industries, ethical considerations, and future trends.
1 CEU
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Webinar
Unlocking Success: The Power of Microsoft Certifications
Embark on a 45-minute career-enhancing journey as we delve into the transformative world of Microsoft Certifications. Explore the true value of these globally recognized credentials, learn their importance in today's technological landscape, and gain insider tips to open up new opportunities and career advancements.
1 CEU
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Webinar
Inside Data & AI Teams: Navigating Diverse Roles
Artificial intelligence (AI) is rapidly transforming businesses across all industries. In a world where AI and data are interwoven, it can be difficult to establish teams that include different roles and skills vital to your success. In this webinar, we explore the intricate tapestry of roles within Data & AI teams, shedding light on the essential skills and key objectives associated with each. We also discuss our comprehensive training courses in the Data & AI domain, helping you tailor your skills development to improve and advance in your role.
Earn 1 CEU
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Webinar
What's New in CompTIA Security+ SY0-701 - Key Changes and New Objectives
This informative webinar explores the changes between the CompTIA Security+ SY0-601 and the new SY0-701 exam, including new exam objectives, topics, and how to prepare. We help you focus on what is important by discussing which exam areas have stayed the same, been de-emphasized, or removed completely.
1 CEU
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Webinar
Leveraging the NICE Framework for Organizational Cybersecurity Success
In today's ever-changing cybersecurity landscape, it's crucial to have a highly qualified and competent workforce. No matter the size of the organisation, data safety is essential and can only be achieved through a proven set of skills and tools. This webinar will provide a brief overview of the NICE Framework and how it can be used to establish cybersecurity competency models, map jobs to roles, and deploy assessments to determine your organisation's cybersecurity readiness. We will also discuss the right learning path for you and offer sample assessments.
Earn 1 CEU
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Webinar
Top Tech and Power Skills for 2024
The business world is changing at an alarming rate, and the need to keep yourself and your team up to date with the latest skills and technologies is vital to organizational success. From cybersecurity to leadership to project management, this webinar will cover a wide range of in-demand skills and related topics across all industries. Learn how important it is to acquire these skills, and what it could mean for your professional role and career. Tune in to get all this and more, all in one watch.
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Webinar
AI in Business: Answering Your Questions on AI Implementation and Impact
Artificial intelligence (AI) is rapidly transforming the business landscape, and organisations that want to stay ahead of the curve need to understand how to implement AI effectively. This on-demand webinar provides you with the practical insights you need to successfully integrate AI into your organisation.
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Case Study
Case Study - PMP Enterprise
A leading healthcare provider, employing more than 200,000 employees and serving 12.5 million people across the United States, follows a unique and strategic business model that combines health coverage and care delivery into a coordinated experience.
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Infographic
The Machine-Learning Process: From Data to Decisions
Each section represents a key stage in the machine learning process.
- Training data is fed into a machine learning algorithm. This data trains the system, e.g., labeled images to teach a system to recognize cats.
- The algorithm analyzes the data to find patterns and relationships, adjusting its internal parameters to optimize pattern detection.
- Now that it's optimized, the model can predict or decide things using new, unseen data.
- Over time, the system continues to learn from new data to improve its model.