Modern Data Architecture Fundamentals with Microsoft Fabric
This course introduces the core concepts of modern data architecture and the evolution from traditional data warehouses to cloud-native lakehouses. You will explore the essential components of Microsoft Fabric and learn how to design modular architectures with OneLake as the foundation. The course covers setting up OneLake, working with different data formats, and implementing advanced virtualization techniques. By the end of this course, you will understand the fundamentals of a modern data architecture and be able to design a comprehensive blueprint for a data solution.
Hoje em dia, a inovação é um negócio de todos. Se você for um gerente em uma corporação global, um empreendedor iniciando em uma função governamental ou um professor em uma escola primária, espera-se que todos sejam enxutos – para fazer melhor com menos. É por isso que todos nós precisamos de design thinking (pensamento criativo). Em todos os níveis em todos os tipos de organização, o design thinking fornece as ferramentas necessárias para se tornar um pensador inovador e descobrir as oportunidades criativas que estão lá, mas que você ainda não está vendo.
Neste curso, desenvolvido na Darden School of Business da Universidade da Virgínia e ensinado pelo corpo docente de alto escalão, fornecemos uma visão geral do design thinking e trabalhamos com um modelo contendo quatro perguntas-chave e várias ferramentas para ajudá-lo a entender o design thinking como uma abordagem de resolução de problemas. Também analisamos várias histórias de diferentes organizações que usaram o design thinking para descobrir soluções atraentes.
The cloud is taking business by storm. In fact, due to the extraordinary growth of the cloud, it has been described as a tornado, not a fluffy white floating object!
Commercial research analysts consider cloud as one of the most significant trends with a potential to change the whole global IT industry. Governments, including those in the US, Britain, and Australia, have cloud-first policies now in place which mandate cloud over non-cloud services in ICT procurement. But CIOs and other senior executives, while it's on the majority of their agendas, aren't sure what it really means for their organisations - how to leverage the benefits, control the commercials, manage the business risk, and adapt their organisations.
While it is important to set requirements, negotiate commercials (terms, service level agreements, and pricing), and sign the contract - it is also critical that we develop a clear plan for ‘Moving to the Cloud’ which realigns our business architecture, organization and most importantly our people.
This course provides the answers that management must know to be successful and realise the benefits:
• Where should I go cloud?
• What are the commercials?
• Where is my leverage?
• How do I realign my business practices and architecture?
• How do I gear up my people and structure my organisation?
View the MOOC promotional video here: http://tinyurl.com/hvtz2ph
CISSP Domain 3: Security Architecture and Engineering
In this course, we will cover Domain 3 of the CISSP exam, which focuses on security architecture and engineering. We introduce principles of security design like “secure-by-default” and principles of least privilege. We will examine security models on which systems can be built and look at the hardware, software and firmware that will enforce these models. We will also dive into cloud services and CISSP. Beginning with a high-level overview of how cloud computing works, you'll see different deployment models, different service structures and the various security risks inherent in each model.
Midjourney Style Guide: AI Art Prompts for Creatives
Ready to embark on a transformative journey of discovering and honing your AI art style?
In this class, join me, Arnold Trinh, and we will discover how to identify and incorporate unique styles into your Midjourney process. Prepare to unlock your creative potential as we explore the art of finding and defining styles. Style can mean many things and it can be overwhelming to think of. Style refers to a certain consistency and cohesion in your work. In sum, we can consider it as a particular way of creative expression. With this class, I want to give you tools so you can start understanding your style and have the skills to control the AI art that you're creating.
In this comprehensive class, we will highlight the step-by-step process of identifying and incorporating styles into your generative prompting workflow. Throughout our journey, we will explore various key aspects, including:
* Understanding the essence of style and its significance
* Analyzing the fundamental elements of style
* Harnessing the power of the /describe command
* Utilizing color to enhance your artistic vision
* Mastering composition and framing techniques
* Tailoring your chosen art medium
* Creating a consistent style in your AI art generations
Whether you are an artist seeking to experiment with innovative concepts, a devoted fan aiming to create custom artwork, or a marketing professional in need of captivating content with a specific look and feel, this class is made for you. By the end of the class, you will possess the skills to intentionally create art while fine-tuning the outcomes generated by AI.
Don't miss out on the opportunity to be a part of the revolutionary world of AI-generated art. With this Midjourney course, you'll learn the techniques to discover your style and the thought process of how to prompt AI Art, allowing you to quickly and effectively create works of art in your own unique style.
You'll be provided support and inspiration every step of the way as you discover the full potential of style in AI-generated art. I'm so excited to be your instructor for this course, so let's get started!
Instructor bio:
Arnold Trinh is a content creator and entrepreneur who turned his passion for design and storytelling into a full-time, location-independent career. After leaving his 9-to-5 job as a designer in 2017, Arnold taught himself the fundamentals of building a business from content creation—skills that allowed him to create a sustainable career while traveling the world and filming from destinations like Hawaii, Southeast Asia, and Bali.
With over seven years of experience, Arnold now teaches aspiring creatives how to transform their skills into professional opportunities. His courses focus on practical, actionable steps for building a career in content creation, while encouraging learners to pursue their work on their own terms.
Arnold’s goal is to empower you with the knowledge and confidence to design a lifestyle that balances creativity, freedom, and financial sustainability.
This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab we take a look through some of the information provided by the Cloud Monitoring tools, and teach some of the concepts you will need to know to take advantage of Cloud Monitoring effectively.
Robot Framework: Advanced Automation Strategies is an intermediate-level course designed for testers and automation engineers ready to take their skills to the next level. As automation projects scale, success depends on your ability to build robust, modular, and maintainable test suites that integrate seamlessly with complex systems. In this course, you'll learn practical strategies for designing reusable test structures, connecting to external tools like Selenium and REST APIs, and managing advanced workflows with precision. Through short videos, hands-on labs, interactive discussions, and real-world examples, you’ll work with features like keyword abstraction, conditional execution, and tagging to create automation that’s not just powerful—but scalable and adaptable. Whether you're automating critical business flows, testing microservices, or driving CI/CD-ready test suites, this course will help you move from basic scripting to strategic test architecture—unlocking greater reliability, speed, and confidence in your automation efforts.
ستتعلم كيفية بناء مشروع تعلم آلي ناجح. إذا كنت تطمح في أن تكون قائدًا تقنيًا في مجال الذكاء الاصطناعي، وتعرف كيفية تحديد اتجاه عمل فريقك فسيوضح لك هذا المساق كيفية القيام بذلك.
لم يتم تدريس الكثير من هذا المحتوى في أي مكان آخر، وهو مستمد من تجربتي في بناء وتشكيل العديد من منتجات التعلم المتعمق. يحتوي هذا المساق كذلك على "محاكي طيران" مما تتيح لك ممارسة عملية صنع القرار كقائد لمشروع التعلم الآلي. مما يمنحك "خبرة صناعية" قد تحصل عليها بخلاف ذلك بعد سنوات من الخبرة العملية.
فبعد أسبوعين ستتمكن من:
- فهم كيفية تشخيص الأخطاء في نظام التعلم الآلي،
- ستصبح قادرًا على إعطاء الأولوية للاتجاهات الواعدة لتقليل الخطأ،
- فهم إعدادات التعليم الآلي المعقدة مثل مجموعات التدريب/الاختبار غير المتطابقة ومقارنة و/أو تجاوز الأداء على مستوى البشري،
- معرفة كيفية تطبيق التعلم الشامل والنقل التعلم متعدد المهام
فقد شاهدت فرقًا تضيع شهورًا أو سنوات بسبب عدم فهم المبادئ التي يتم تدريسها في هذا المساق. وأتمنى ان يوفر عليك هذا المساق العديد من الأشهر.
فهذا مساق قائم بذاته، يمكنك حضوره طالما ان لديك أساسيات معرفة التعلم الآلي. هذا هو المساق الثالث في تخصص التعلم المتعمق.
En este primer curso, los participantes conocerán el proceso de una negociación, la naturaleza de uno mismo (capacidades y potencialidades) y la de los oponentes, para establecer negociaciones efectivas, en donde se establece una dinámica de propuestas y transacciones racionales y emocionales, en el marco de la globalización, para generar un ambiente de negociación y cooperación creativa, para diseñar estrategias para lograr resultados de negociación, diseñar argumentos para negociar, saber escuchar y comunicarse y convenir en un intercambio de los recursos y bienes en juego, favorable a los intereses de ambas partes. .
This course explores how sport is connected to the major environmental challenges of the twenty first century, particularly climate change and pressure on natural resources. Through environmental perspectives and examples from the sports ecosystem, learners will analyze how sporting activities, infrastructure, and major events generate environmental impacts and how the sector can evolve toward more sustainable models. From understanding the carbon footprint of sport to exploring the role of the circular economy, the course connects global environmental challenges with the realities of sports organizations.
Throughout the lessons, you will discover how climate change affects sport practice, how to measure and reduce the environmental footprint of sport, and how to protect the natural environments where many sports activities take place. You will also learn how to design and implement environmental strategies within sports organizations, from diagnosis and planning to monitoring and continuous improvement. By the end of the course, you will understand how to integrate environmental sustainability into sports management and contribute to a more responsible future for sport and the planet.
This course forms part of the Microsoft Power BI Analyst Professional Certificate. This Professional Certificate consists of a series of courses that offers a good starting point for a career in data analysis using Microsoft Power BI.
In this course, you’ll learn about the role of a data analyst and the main stages involved in the data analysis process with a focus on applying them using Microsoft Power BI.
After completing this course, you’ll be able to:
• Describe how data is produced and gathered in businesses and organizations.
• Outline the role of data in creating data-driven decisions and successful business outcomes.
• Classify key stages in the data analysis process.
• Recognize the skills needed by a Power BI analyst and the tools they use.
• List the tasks performed by a Power BI Data Analyst.
• Recognize the components of Power BI.
This is also a great way to prepare for the Microsoft PL-300 exam. By passing the PL-300 exam, you’ll earn the Microsoft Power BI Data Analyst certification.
By completing this course, you'll master building powerful machine learning systems that excel with limited data. You'll gain expertise in multi-task learning, meta-learning, and advanced data augmentation—from physics-based simulations to generative approaches—enabling models to adapt quickly and perform beyond their dataset size.
What makes this course unique is its focus on cutting-edge 3D and generative technologies: Neural Radiance Fields (NeRF), diffusion models, and 3D Gaussian Splatting. Unlike traditional ML courses that assume abundant data, this program tackles real-world constraints while unlocking advanced capabilities in science, engineering, and creative industries.
This course is primarily aimed at graduate students in computer science, engineering, or data science, along with industry professionals and researchers working with limited datasets who need to develop high-performance machine learning systems despite data constraints.
