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Available courses

Dealing with Offence in the Workplace - via edX.org (King's College London)

Offence in the workplace is inevitable. Whether the offender has deliberately provoked or unwittingly ‘put their foot in it’, words and the alleged sentiments behind them can negatively impact employees and their experiences in the workplace.

Throw away comments, off the cuff jokes and passing remarks can make colleagues feel uncomfortable, hurt or offended. Offence can cross boundaries, threaten identities, be perceived as harassment or link to wider geo-political and religious conflicts.

The risks of reputational damage to companies and organisations are real. The challenge is knowing how best to respond when faced with inappropriate or offensive comments.

Led by Dr Nicole Graham and informed by leading research conducted at King’s College London, this course will:

Increase your understanding of what is offensive and why
Explore the intersection of offensive language and behaviour with a person’s identity and values
Focus on the complex skills that are needed to defuse or avoid situations before they escalate
Offer guidance about the nature of offence and constructive responses for both the offender and the offended
Increase confidence when tackling offensive and inappropriate comments in the workplace and beyond

By the end of this course, professionals will be equipped with the knowledge and practical strategies to effectively navigate offence in the workplace.

Collaboration Across Generations - via edX.org (Microsoft)

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Entering the modern professional workforce means learning to collaborate with people from up to four different generations. Every group has its own writing habits, favorite software tools, and expected response speeds. This variation often creates hidden friction, turning fast-paced digital chats into confusing information silos that keep team members in the dark.

This course provides a clear, practical roadmap to help you navigate these multi-generational dynamics, build professional credibility, and keep team projects moving smoothly. Throughout this curriculum, you will move beyond basic soft-skills advice to build real organizational habits using Microsoft 365 tools.

First, you will learn to spot "The Chat Tax" and shift your daily updates out of private direct messages into visible, threaded group channels. Next, you will look at ways to solve "presence asymmetry" in hybrid meetings, setting simple rules that give remote text comments the same weight as in-person spoken words. You will also practice moving unorganized personal files into shared SharePoint repositories, preserving the historical knowledge of experienced coworkers before they retire.

Finally, you will combine these communication habits, tool settings, and boundary guidelines into a professional Teamwork Charter. You will finish this course with a practical portfolio piece that proves to hiring managers and current leaders that you are ready to build open, fair, and sustainable workflows in any office.

Finding Your Data Analyst Role - via edX.org (Microsoft)

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Navigate the data analytics career landscape with a clearer sense of direction. This course helps you explore common data analyst role types, assess your technical and professional strengths, identify skill gaps, and build a practical roadmap toward a target role that fits both your interests and real market demand.

Career of a Data Scientist - via edX.org (Microsoft)

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The Career of a Data Scientist course is designed for aspiring and practicing professionals who seek to transition from uncertainty to a structured, growth-oriented professional roadmap. As the data landscape continues to expand, talent is often left overwhelmed by the diverse choices between engineering, analytics, and research. This course provides participants with the clarity required to navigate these high-demand sectors with strategic confidence.

Participants begin by deconstructing the data science ecosystem, comparing the specific technical requirements and daily operational realities of Data Engineering, Machine Learning, and Data Analysis. By mapping the professional trajectory from junior contributor to senior leadership, learners gain a precise understanding of the expectations attached to every stage of professional growth.

What sets this course apart is its emphasis on personalized execution. Rather than simply learning about the industry in the abstract, participants utilize structured self-reflection frameworks to audit their current skill sets against real-world job requirements. The course concludes with participants drafting a customized career development plan and a targeted portfolio project blueprint, providing tangible evidence of their readiness to global employers.

Leadership Fundamentals for Emerging Professionals - via edX.org (Microsoft)

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In the modern, high-velocity workplace, the traditional definition of leadership—tied strictly to job titles and hierarchy—is rapidly becoming obsolete.Leadership Fundamentals for Emerging Professionals is a transformative learning experience designed to bridge the gap between technical execution and professional influence. This course reframes leadership as a set of observable, repeatable behaviors that individual contributors and early-career professionals can employ to drive impact, build trust, and navigate organizational complexity without formal authority.

By integrating behavioral science with practical productivity workflows, learners move beyond theoretical concepts into active professional development. The curriculum emphasizes the "human-side" of tech and business operations: emotional intelligence, structured communication, relational influence, and systematic decision-making. Unique to this course is the integration of Microsoft 365 tools, turning passive learning into a digital habit-tracking system that ensures long-term professional growth.

IA Generativa en el flujo de trabajo científico - via edX.org (Universidad del Rosario)

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La inteligencia artificial generativa ha transformado el flujo del trabajo científico. Para estudiantes y profesionales que ya comprenden la intuición detrás de un modelo de lenguaje (LLM), el reto ahora es integrar la herramienta con rigor metodológico en proyectos académicos reales. Este MOOC de 12 horas es el puente entre el conocimiento teórico de la IA y su aplicación práctica, ética y accesible en la investigación.

A lo largo de cuatro módulos prácticos, llevarás tus habilidades al siguiente nivel. Verás cómo las arquitecturas de generación aumentada por recuperación (RAG) ayudan a reducir alucinaciones científicas, y explorarás un ecosistema de herramientas especializadas en ciencia, entre las que destacan motores semánticos, entornos RAG, mapas de citación y gestores bibliográficos.

También aprenderás a acelerar la revisión de literatura, el mapeo visual de citas, la extracción de datos, el análisis asistido y la redacción académica, manteniendo siempre el control epistemológico. Además, abordarás desafíos críticos: privacidad de datos, uso de alternativas abiertas, prompting avanzado, plagio sintético, políticas editoriales, transparencia, trazabilidad y equidad científica.

Al finalizar, contarás con un marco de trabajo sólido, ético y metodológicamente responsable para convertir la IA en un asistente de investigación, sin comprometer tu integridad académica.

Product Design for Sustainable Healthcare - via edX.org (Delft University of Technology)

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This course introduces the principles of circular and sustainable product design in healthcare. You will explore the environmental impact of various physical products used in hospitals and other healthcare institutions. You will practice mitigating this impact by using a case of your own, and by the end of the course, you will have developed a practical design proposal that can be shared with colleagues or presented to your management team.

Using a step-by-step approach for product design for sustainable healthcare, you will learn how to identify environmental hotspots in hospitals, analyse clinical contexts, evaluate environmental impacts, and develop circular design solutions. Along the way, you will build your own design narrative by completing a series of practical assignments.

In the first module, we will introduce you to the sustainability aspects of the healthcare system with a strong focus on its environmental impacts. Next, you will learn the concept of design thinking and evaluate your own challenges; and choose a topic to work on throughout this course. In module two you will develop an understanding of the different types of environmental assessment within the healthcare sector. Module three introduces you to different types of visual mapping tools for gaining a good understanding of the clinical context. In module four you will get acquainted with the Circular R-Strategies. Finally, in modules five and six, you will apply these methods to co-create a sustainable redesign for your case.

Preparing For Data Scientist Interviews and Assignments - via edX.org (Microsoft)

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Data science interviews evaluate more than technical correctness. Candidates are expected to frame ambiguous problems, choose appropriate analytical methods, explain assumptions, and connect their work to business impact. This course helps learners prepare for that full range of interview signals.

You will begin by clarifying the Data Scientist role and distinguishing it from related positions such as Data Analyst, ML Engineer, Analytics Engineer, and Software Engineer. This role clarity helps you understand what interviewers are actually evaluating across different stages of the process.

The course then turns to analytical execution. You will practice reasoning through SQL, statistics, machine learning, and case-style interview challenges with a structured approach that emphasizes method choice, interpretation, and trade-off awareness.

In the final stage, you will learn to communicate projects and decisions with clarity. You will practice connecting analytical work to measurable outcomes, adapting your explanation depth for different audiences, and presenting your experience in a way that demonstrates both technical skill and business relevance.

Preparing for Technical Interviews: Strategies & Practice - via edX.org (Microsoft)

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Technical interviews are designed to evaluate how candidates think, communicate, and make trade-offs, not just whether they can reach a correct answer. This course helps learners approach technical interview preparation as a disciplined process with clear expectations for each stage.

You will begin by clarifying your target technical role and understanding how it differs from related engineering positions. This foundation helps you interpret job requirements, anticipate interview signals, and focus your preparation on the skills that matter most.

The course then guides you through common interview formats, including coding, debugging, and system design scenarios. You will learn to reason through technical challenges, communicate your approach, and explain trade-offs with confidence.

In the final portion of the course, you will focus on project and experience communication. You will practice presenting technical work in a way that highlights judgment, ownership, and real-world impact, helping interviewers understand not only what you built but how you made decisions.

Career of a Devops Engineer - via edX.org (Microsoft)

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In this course students will understand the fundamentals of DevOps, the responsibilities of entry-level engineers, and the skills required to succeed in modern organizations. Through practical case studies, quizzes, and project-based assignments, learners will explore DevOps tools, collaboration practices, hiring trends, and career pathways, culminating in a personalized career roadmap.

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