Strategic Digital Marketing: Digital Marketing Foundation
Establish a solid foundation in digital marketing by exploring its evolution, major channels, consumer behavior, user experience design, and content marketing strategies. This course equips you with essential knowledge to understand how digital marketing differs from traditional approaches and how to leverage digital channels to build brand equity and engage customers.
By the end of this course, you will be able to:
1. Identify and differentiate major digital marketing channels
2. Explain how digital marketing differs from traditional approaches
3. Analyze factors influencing online consumer behavior
4. Apply UX design principles to improve user experience
5. Describe content marketing strategies for brand storytelling
6. Integrate foundational concepts to develop digital marketing strategies
In this course, the first in the Configure Google Kubernetes Engine Networking series, you'll learn how to use the Google Cloud Architecture Center to get started designing a VPC networking solution to support a GKE infrastructure.
À la fin de ce projet, vous aurez toutes les compétences de base pour utiliser Visme, outil en ligne de conception et d’édition de visuels Marketing. Vous serez capable de découvrir en détail les différentes fonctionnalités de la plateforme, et serez en mesure de tester les outils de création de contenu graphique pour la première fois.
To take this course you must have a prior experience and basic comfort working with data and interpreting simple charts. But no prior programming, climate‑science or ESG background required. This course starts with working confidently with climate data. In this short, hands-on course, you’ll learn how to analyze real climate datasets and translate your findings into clear, sustainability-focused insights.
You’ll calculate temperature anomalies from NetCDF data, visualize decade-long trends using Google Collab and Matplotlib, and interpret patterns that matter for long-term climate analysis. Through guided activities and practical examples, you’ll move from raw data to clear charts and concise, evidence-based summaries. Designed for beginner data analysts, Analyze Climate Data builds your confidence in producing climate trend insights that are ready to include in sustainability or ESG reports.
Are you someone who likes to “tinker with technology” but don’t know anything about writing code or programming languages? This class will satisfy that excitement by diving headfirst into a number of well-known Low Code/No Code platforms and their no-code tools without the perquisite of coding skills. Showing you the fundamentals to get you interested to see more.
We will cover exciting topics like data modeling best practices, creating a solid and consistent user experience and building automations and workflows your users will love. We will also touch on some of the LCNC strategies in support of integrations (leveraging open APIs) and discuss strategies for managing data sources.
In the first course (Platform Product Essentials) of this certificate, we discussed some of the history behind LCNC platforms and the roles of the key players that support your success when building applications.
This class is all about app development. Students will be asked to dive into a LCNC tool and define and build a LCNC app using the methodologies provided to create no-code solutions. For this class we will dive into the functionality of your own app. You can come out of this course calling yourself an app builder or, even better, a citizen developer!
As part of this class, we will be assigned a common use case and build an app front/dashboard. Here we will focus on the front-end and back-end perspective through low-code app development and different no-code softwares. These are intentionally designed so that non-programmers, who have never written a single line of code, can still develop.
The final course in this program will help prepare you for the unique aspects of a coding job interview, with approaches to problem-solving and computer science foundations needed to land the job. Ultimately you’ll gain strategic insights and tips for successful interviewing.
By the end of this course, you'll have knowledge of:
• Appropriate communication during a coding interview
• Successful interviewing strategies
• Using pseudocode
• The fundamentals of computer science
• The capabilities of data structures and how to implement them
• How to review data structures in the context of coding interviews
• The concept of algorithms and common approaches to working with them
• How to visualize an algorithm
• Combining new and previously learned coding patterns to solve problems
Ideally, you should have completed all the courses in this professional certificate.
Neste curso, através de uma combinação de palestras em vídeo, demonstrações e experiências práticas, vai adquirir conhecimentos acerca dos componentes principais de um sistema operativo e como realizar tarefas críticas, como gerir software e utilizadores e configurar hardware. Vamos terminar com um exemplo de como este conteúdo pode surgir no contexto de uma entrevista.
No final deste curso, será capaz de:
● Navegar nos sistemas de ficheiros do Windows e do Linux através de uma interface gráfica do utilizador e de um intérprete de linha de comandos.
● Configurar utilizadores, grupos e autorizações de acesso a contas.
● Instalar, configurar e remover software nos sistemas operativos Windows e Linux.
● Configurar partições do disco e sistemas de ficheiros.
● Perceber como funcionam os processos dos sistemas e como os gerir.
● Trabalhar com registos de sistemas e ferramentas de ligação remota.
● Utilizar os conhecimentos sobre os sistemas operativos para resolver problemas comuns como especialista de apoio técnico de TI.
Light is one of our most valuable resources on this earth. It makes the world visible to us, is the major driver of the 24-hr sleep-wake cycle to which not only humans, but virtually all life on earth (fauna and flora) submits. In fact, there would be no life on earth without light. It is therefore hard to overestimate the impact light has on humans, biologically, psychologically, socially. And yet, we hardly ever think or speak about light.
LIGHTCAP 3 “Light in outdoor contexts” explores the principles of lighting and its effects on humans in various outdoor settings from the perspectives of pedestrians and drivers, covering topics such as alertness, wakefulness and attentiveness, but also feelings of safety and aesthetics. The course is one in a series of four, each with a different disciplinary basis and with complementary perspectives to the domain of light for humans. The basis of this course is predominantly in (environmental) psychology.
In this course you will:
(1) Be able to understand and explain concepts of arousal, anxiety and fear.
(2) Understand different perceived safety measurement methods and be able to explain their advantages/disadvantages.
(3) Be able to interpret the link between urban lighting and feelings of safety.
(4) Learn about road lighting standards (P-class) and understand the purposes and benefits of minor road lighting.
(5) Be able to understand the link between light and alertness, why this could matter for pedestrians, and learn about methods to assess alertness in lighting research.
(6) Be able to understand and explain the concept of cognitive workload and the relationship between cognitive workload and driving performance
(7) Learn how to measure cognitive performance in practical applications such as driving
(8) Be able to understand and explain the concepts of attention, alertness and mystery and understand how different attention levels can influence our perception and behaviour
(9) Be able to reflect on what might be the advantages/disadvantages of using lighting design for attention benefits.
(10) Learn how to measure the energy consumption of a road lighting installation
(11) Get familiar with currently available road lighting standards and be able to reflect on what might be a beneficial change in the big picture considering all aspects of a change in road lighting installation.
(12) Develop knowledge about the challenges of outdoor lighting design and to demonstrate an understanding of light pollution (definition and types).
(13) To understand the impact of light pollution on people’s safety and wildlife.
Learn how to analyze IT processes, eliminate operational waste, and apply Lean Six Sigma methodologies to improve service quality and operational performance. This course provides practical knowledge of Lean principles, DMAIC methodology, process optimization tools, and data-driven decision-making techniques tailored for IT environments.
The course begins with the foundations of Lean Six Sigma in IT, helping learners understand Lean philosophy, waste reduction concepts, and the role of continuous improvement in enhancing IT service delivery and operational efficiency. Learners will build a strong understanding of how Lean methodologies streamline workflows and improve value creation in IT operations.
As the course progresses, learners focus on practical Lean and Six Sigma tools used for IT process optimization. The course explains how to apply Value Stream Mapping, Six Sigma concepts, and DMAIC methodology to identify inefficiencies, reduce defects, and implement structured process improvements.
Advanced modules emphasize data-driven decision-making using analytical tools such as histograms, Pareto charts, and cause-and-effect diagrams. Learners will understand how to design data collection plans, perform root cause analysis, and use structured insights to support operational decision-making and process enhancement.
The course also covers stakeholder management, communication planning, and implementation success strategies to ensure sustainable process improvements in IT projects and operational environments.
What makes this course unique is its strong focus on IT-specific Lean Six Sigma applications combined with practical process optimization and implementation strategies. By the end of the course, learners will be able to confidently analyze IT workflows, apply Lean Six Sigma tools, improve operational efficiency, and drive measurable business impact through continuous improvement initiatives.
In this course, you will learn about Model-Driven Programmability and its use of YANG data models to provide a standardized way to access network devices and their capabilities. You will be introduced to YANG's terminology and structures and the tools and protocols that rely on YANG, including NETCONF and RESTCONF. Additionally, you will learn how to use Python libraries to interact with NETCONF and RESTCONF-enabled systems. By the end of the course, you will have a comprehensive understanding of Model-Driven Programmability and YANG's importance in network automation.
By the end of this course, you will be able to:
- Explain the role YANG plays within a network automation context.
- Describe the tools that exist to simplify working with YANG models.
- Describe the functionality of RESTCONF and NETCONF and the differences between them.
Proficiency in fundamental network routing & switching technologies, basics of Python programming (3-6 mos exp.), and basic Linux knowledge.
인공지능(AI)은 혁신적인 가능성을 제공하지만 새로운 보안 문제의 원인이 되기도 합니다. 이 과정에서는 보안 및 데이터 보호 리더가 조직 내에서 AI를 안전하게 관리하는 데 필요한 전략을 살펴봅니다. AI 관련 위험을 사전에 식별 및 완화하고, 민감한 정보를 보호하며, 규정을 준수하고, 복원력 높은 AI 인프라를 빌드하는 프레임워크를 학습합니다. 이러한 전략이 실제 시나리오에서 어떻게 적용되는지 살펴보기 위해 4가지 산업별 사례를 선별했습니다.
Le matériel puissant qui se cache derrière l'IA vous intrigue ? Ce module décortique les ordinateurs à intelligence artificielle optimisés pour les performances et vous montre pourquoi ils sont si importants. Nous allons voir comment les CPU, les GPU et les TPU rendent les tâches d'IA extrêmement rapides, ce qui fait la spécificité de chacun, et comment les logiciels d'IA en tirent le meilleur parti. À la fin de ce module, vous saurez exactement comment sélectionner le GPU adapté à vos projets d'IA, ce qui vous permettra de faire des choix judicieux pour vos charges de travail d'IA.
