In the rapidly evolving digital landscape, Artificial Intelligence (AI) is reshaping the way marketers approach their strategies, campaigns, and customer engagement. The “AI Applications in Digital Marketing” course offers a comprehensive exploration of how AI is transforming marketing practices and empowering professionals to work smarter, not harder. Participants will gain practical insights into the core AI tools that are influencing the marketing domain—from customer journey mapping and predictive analytics to content personalization and performance optimization.

This course will demystify AI terminology, highlight real-world applications, and provide guidance on integrating AI into existing marketing workflows. Designed to be hands-on and outcomes-driven, the course encourages strategic thinking while equipping participants with the ability to critically evaluate AI solutions. With a focus on both current capabilities and future trends, attendees will leave with the confidence to lead AI-powered marketing initiatives within their organizations.

In the rapidly evolving digital landscape, Artificial Intelligence (AI) is reshaping the way marketers approach their strategies, campaigns, and customer engagement. The “AI Applications in Digital Marketing” course offers a comprehensive exploration of how AI is transforming marketing practices and empowering professionals to work smarter, not harder. Participants will gain practical insights into the core AI tools that are influencing the marketing domain—from customer journey mapping and predictive analytics to content personalization and performance optimization.

This course will demystify AI terminology, highlight real-world applications, and provide guidance on integrating AI into existing marketing workflows. Designed to be hands-on and outcomes-driven, the course encourages strategic thinking while equipping participants with the ability to critically evaluate AI solutions. With a focus on both current capabilities and future trends, attendees will leave with the confidence to lead AI-powered marketing initiatives within their organizations.

This one day course is designed to provide you with a toolbox of techniques and structures that you will instantly be able to apply to your work. You will be guided through the functions, formulas and techniques in the realms of Excel, Python in Excel and in Power BI: collectively a combination fit for any serious financial modeller.

The topics chosen for today’s course reflect not only the kind of work that you do but also the rapid pace at which Excel, Python and Power BI are developing.

The day is divided into four discrete sessions, each with its own objectives and outcomes. As far as possible, all examples, cases and models will be developed using data from the real world, including data taken live from the web during the presentations. In that way, you will be able to appreciate the vagaries of raw and real data that are often missing from textbook and simulated data.

The course is aimed at anyone, whether they work in finance, accounting, marketing, sales, production services, procurement or HR … in fact, from anywhere in the organisation for which the preparation or development of some or all of a financial model is important.

A deep and detailed knowledge of finance and accounting is not necessary for this course and in the same light, while you will face mathematical and statistical examples during the course, no deep and detailed knowledge of the subjects is required.

An advanced version of Contract Law for Non Legal Professionals, this course addresses the most recent and more complex contract law issues faced by executives by Examining advanced elements of contract law and contractual obligations to manage risk, systematically audit contracts and improve dispute resolution methods

You will examine the issues in contracts – from conception to completion – manage risks, deal with disputes, damages, and termination in the event of a breach or disagreement.

This advanced course will highlight on how judges deal with issues of interpretation of contracts and how and what you must do to ensure that ambiguity is avoided in documentation. You will also be taken through case studies on interpretations of recent decisions of judges and the impact of these decisions on contract law and its practice.

In the rapidly evolving digital landscape, Artificial Intelligence (AI) is reshaping the way marketers approach their strategies, campaigns, and customer engagement. The “AI Applications in Digital Marketing” course offers a comprehensive exploration of how AI is transforming marketing practices and empowering professionals to work smarter, not harder. Participants will gain practical insights into the core AI tools that are influencing the marketing domain—from customer journey mapping and predictive analytics to content personalization and performance optimization.

This course will demystify AI terminology, highlight real-world applications, and provide guidance on integrating AI into existing marketing workflows. Designed to be hands-on and outcomes-driven, the course encourages strategic thinking while equipping participants with the ability to critically evaluate AI solutions. With a focus on both current capabilities and future trends, attendees will leave with the confidence to lead AI-powered marketing initiatives within their organizations.

Effective clinical governance leadership is the cornerstone of delivering safe, high-quality care in aged care settings. In an increasingly complex regulatory environment— guided by the Aged Care Quality Standards —leaders must not only understand governance frameworks but also translate them into everyday practice. This course provides a deep dive into the principles, systems and behaviours that underpin robust clinical governance. Participants will explore how strong leadership drives a culture of safety, fosters consumer-centred care and promotes continuous improvement. Through case studies, interactive discussions and practical tools, attendees will learn to integrate risk management, performance monitoring and stakeholder engagement into their strategic planning. Emphasis is placed on data-driven decision-making, interdisciplinary collaboration and meaningful involvement of residents and their families. By the end of the program, leaders will be equipped to champion best practice, sustain evidence-based initiatives and ensure compliance with legislative and registration (accreditation) requirements.