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Think Outside the Inbox: Email Marketing is the fourth of seven courses in the Google Digital Marketing & E-commerce Certificate. This course will explore how to execute a successful email marketing campaign. Email marketing is one of the oldest and most proven digital marketing channels, and it is an essential component of an overall digital marketing strategy. Email is a primary channel for many businesses in reaching existing customers, encouraging interaction with the business, driving purchases, and building loyalty. In this course, you’ll explore email marketing and cover topics like: creating an email marketing strategy, executing email campaigns, and measuring the results of those campaigns. You’ll also learn how to use mailing lists and utilize automation and workflows. Google employees who currently work in the field will guide you, providing hands-on activities and examples that simulate common digital marketing and e-commerce tasks while showing you some of the best tools and resources used on the job. Learners who complete the seven courses in this program will be equipped to apply for entry-level jobs in digital marketing and e-commerce. No previous experience is necessary. By the end of this course, you will be able to do the following: - Write effective preview text and subject lines using best practices - Create email marketing automation and workflows - Build and maintain email lists - Write effective email copy - Conduct contact management and list segmentation - Employ best practices to handle personally identifiable information, or PII, and user data safely - Measure and analyze email campaign results

Professor Nader Tavassoli of London Business School contrasts traditional approaches to branding, where brands are visual identities and promises to customers, with brands as customer experiences delivered across an organisation. The course offers coaching on working with your own brands, as well as guest videos from leading branding professionals. The aim of the course is to change the perception of a brand from an organisation's visual identity (e.g. logo) and image (customer associations with the brand) to an experience that occurs in the 'moments that matter' along the customer journey and is therefore delivered by people throughout the organisation. Brands are therefore not only external promises to customers but also a means of realising business strategy through internal brand-driven behavioural and cultural change. You will acquire and practise the following skills: 1. How to build brands from a broad organisational perspective 2. How to lead brand-led cultural change with a focus on people practices (i.e. 3. How to build brands in multi-brand companies, across cultures and geographies 4. How to measure brand health in new ways, i.e. not just externally but also internally 5. How to assess and record the performance of brands across the organisation - introducing the new concept of people-based brand equity and how this differs from valuing brands as intangible assets This course will enable you to develop the following aspects of yourself: 1. Head. Gain a deeper understanding of evolving brand management practices that go further than those practised in most organisations today 2. Heart. Be motivated to get involved in building your own brands - no matter where you sit in your organisation - thereby creating superior value for customers and for your organisation 3. Hands. Put what you learn into action. As Confucius said: "I hear and forget. I see and remember. I do and understand."

This specialization is designed for anyone interested in developing their medical language skills or preparing for further study in the medical field. Students will be able to identify common prefixes, suffixes, roots, and abbreviations, allowing them to recognize most medical terms used by healthcare professionals. Students will also have an understanding of the structure of the electronic medical record and be able to extract vital information from it. Additionally, students will gain a basic understanding of anatomy and diagnoses related to all 10 major organ systems. Applied learning project Throughout the specialisation, students will complete 3 final assessments to test their medical language skills through engaging tasks and real-life examples. They will also be given the opportunity to demonstrate their communication skills in a medical environment.

Addressing the challenges and problems of the U.S. healthcare system requires a deep understanding of how the system works. Successful solutions and strategies must take into account the realities of the existing system. This course examines the fundamentals of the U.S. health care system. It will introduce you to the major institutions and participants in the health care system, explain what they do, and discuss the interactions between them. The course will cover physician practices, hospitals, pharmaceuticals, and insurance and financial mechanisms. We will also discuss issues of health care cost management, quality of care, and access to care. Although the course focuses on the U.S. health care system, we will also examine the health care systems of other developed countries. To improve patient care, Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Accreditation Center (ANCC) to provide continuing education for the health care team. Visit the frequently asked questions below for important information regarding: 1) Issue and Expiry Dates; 2) Statements of Accreditation and Credit Status; 3) Disclosure of Financial Relationships for Each Individual with Control Over the Content of the Activity.

This course is part of the Microsoft Power BI Analyst Professional Certificate. This Professional Certificate consists of a series of courses that offer a good starting point for a career in data analysis with Microsoft Power BI. No prior skills are required to successfully complete this course. In this course, you will learn how to use Excel in business scenarios to analyze data. You will also learn how to use formulas and functions to analyze data. In particular, this course will help you gain the knowledge and skills to prepare data for analysis using Microsoft Excel and bring you one step closer to becoming a Microsoft Power BI analyst. After completing this course, you will be able to: - Create data in Microsoft Excel and prepare it for analysis. - Use common formulas and functions in a worksheet. - Prepare Excel data for analysis in Power BI using functions

In this introductory, self-paced course, you will explore several theories of organizational behavior and apply them to real-world cases of organizational change. Organizations are groups whose members coordinate their behavior to achieve a common goal. They are found almost everywhere in modern society: universities, start-ups, classrooms, hospitals, nonprofits, government agencies, corporations, restaurants, grocery stores, and professional associations are just a few of the many examples of organizations. Organizations are as varied and complex as they are ubiquitous: they vary in size and internal structure; they may have many goals and objectives (some of which are planned and others are not!); they are composed of individuals whose goals and motives may differ from those of the group; and they must interact with other organizations and deal with environmental constraints to succeed. This complexity often creates a myriad of problems for the organization's participants and its survival. In this course, we will use organizational theories to systematically analyze how organizations function and how they can best be managed. Organizational theories highlight specific features of an organization's structure and environment, as well as its processes of negotiation, production, and change. Each provides a way to interpret new organizational situations and to understand how individual and group behavior is organized. Theories are valuable to the analyst and manager because most organizational problems are unique to their circumstances and cannot be solved by simple rules. Armed with a set of organizational theories, you will be able to systematically identify important features of organizations and the changes that occur within them; select the theoretical framework that is most applicable to the way you observe an organization; and use that theory to determine what actions will best move the organization in the desired direction. In general, the course has three goals: to become familiar with a range of real-world organizational phenomena; to explore the different theoretical perspectives that can shed light on these phenomena; and to apply these different ways of "seeing" and managing organizations to specific cases. In this way, the course is designed to actively bridge theory and practice, introducing students to a variety of conceptual tools and ways of negotiating new situations.

Welcome to the ChatGPT YouTube Masterclass!! The ultimate guide for beginners who want to start a profitable YouTube channel using only Artificial Intelligence. This course is designed to teach you Step-by-step how to Create, Optimize and Grow your YouTube Channel with the power of AI. If you are a Complete Beginner looking to leverage this Latest AI Technology, this course will provide you with everything you need to know to succeed on YouTube. In this course you will Learn all of this: - Understand the Fundamentals of AI and how it can be used to create and grow a Successful YouTube channel. - Discover Profitable Niches and conduct effective Title Research using AI tools. - Learn how to Create engaging Video Scripts using ChatGPT. - Use AI Text-to-Speech Technology to Generate High-Quality Voiceovers for your videos. - Create Complete videos using AI-Powered Video Editing Tools. - Develop a Strong Visual Brand Identity for your YouTube channel. - Develop a Long-Term Strategy for Growing your YouTube channel using AI. This course is perfect for anyone who wants to learn AI and use it to make money on YouTube. By the end of this course, you will have all the tools and knowledge you need to create a successful YouTube channel using AI. So, what are you waiting for? Enroll Now! and Start your Journey to YouTube Success with AI!

Welcome to our comprehensive practice exams course designed to equip you with the winning advantage on your path to achieving Microsoft Azure AI Fundamentals - AI-900 certification! Our meticulously crafted course mirrors the real exam experience, offering questions that align with the tone and style of the actual test. Each question is accompanied by detailed explanations, diagrams, and reference links, ensuring a deep understanding of all domains covered in the AI-900 exam. Rest assured, our expertly curated content draws extensively from Microsoft documentation, providing you with a thorough grasp of AI and machine learning concepts essential for the exam. Our aim is to be your ultimate resource for success. We want you to confidently cross the finish line, fully prepared to conquer the AI-900 exam. Key Features of our Course: - Thorough Coverage: Our question bank spans all four categories of the AI-900 certification exam, ensuring proficiency in AI workloads, machine learning principles, computer vision, and Natural Language Processing (NLP) workloads on Azure. - Exam Simulation: Our practice tests closely replicate the real exam format with 35-50 questions, including various question types such as single select, multiple select, Yes/No, Drag and Drop, Select from Drop-down, and True/False. - Flexibility and Support: Retake exams as needed, and our mobile-compatible course allows convenient learning on the go. Dedicated instructors are available for support and answering queries. - Money-Back Guarantee: Confident in our course's quality, we offer a 30-day money-back guarantee for your satisfaction. Enroll now to embark on a fulfilling journey toward AI-900 certification. Prepare with confidence, excel in the exam, and delve into the exciting realm of AI and machine learning on Microsoft Azure. Happy learning and best of luck for your Microsoft Azure AI Fundamentals - AI-900 exam! Practice Test Content Areas: - AI Workloads and Considerations (15-20%) - Fundamental Principles of Machine Learning (30-35%) - Introduction to Azure AI Services (20-25%) - Introduction to Computer Vision (15-20%) - Introduction to Natural Language Processing (15-20%)

Welcome to "Boosting Your Productivity: Learn to Use AI Tools," a comprehensive course designed to empower you with the skills and knowledge needed to supercharge your efficiency using artificial intelligence. In this engaging journey, we'll unravel the mysteries of AI and showcase its practical applications across key areas, ensuring you not only understand the concepts but also master their implementation. Embark on an exploration of task automation, where you'll learn to effortlessly streamline routine activities, saving precious time and energy. Delve into the realm of data-driven decision-making, gaining insights into how AI transforms raw data into actionable information for strategic choices. Experience the collaborative power of AI as we uncover its role in creating dynamic workspaces and fostering seamless communication and teamwork. Discover how AI isn't just a tool but a catalyst for personalized learning and skill development, tailoring educational experiences to suit individual needs. This course isn't just about learning; it's about applying newfound knowledge to boost your productivity in real-world scenarios. Whether you're a professional looking to optimize workflows, a business owner aiming for strategic advantages, or a curious learner eager to embrace the future, join us on this journey to unlock the full potential of AI and elevate your productivity game. Get ready to revolutionize the way you work with "Boosting Your Productivity: Learn to Use AI Tools."

Welcome to the Microsoft Azure Mastery Course, a comprehensive learning journey designed to equip you with the knowledge and skills needed to excel in the rapidly evolving field of cloud computing and data science. This course covers a wide array of topics, from foundational principles to advanced applications, ensuring a well-rounded understanding of Microsoft Azure's extensive capabilities. Microsoft Azure is one of the leading cloud platforms, offering a vast range of services that support various business needs, including data storage, machine learning, AI, and database management. With the increasing demand for cloud-based solutions, proficiency in Azure has become a valuable asset for IT professionals, data scientists, and developers. Our course is structured into distinct sections, each focusing on a specific aspect of Azure. You will start with an introduction to Azure's data science capabilities and progress through foundational AI concepts, data fundamentals, and relational database management. Practical sections on cognitive services and AI-based chatbot creation will enhance your hands-on experience, while sections on Azure essentials and data lake management will solidify your foundational knowledge. Whether you are preparing for Microsoft certification exams or seeking to expand your practical skills, this course offers a blend of theoretical knowledge and practical application. You will engage with interactive lessons, real-world scenarios, and step-by-step guides, ensuring a robust learning experience. By the end of this course, you will be well-prepared to leverage Microsoft Azure's powerful tools and services, ready to tackle complex challenges and drive innovation in your organization. Welcome to your journey towards Azure mastery! Section 1: DP-100 Microsoft Azure Data Science Exam In this section, you will gain comprehensive knowledge and hands-on experience with Microsoft Azure's data science capabilities. Starting with an introduction to the course and exam requirements, you will learn how to create and manage an Azure Machine Learning workspace, including its settings through the portal and Azure ML Studio. The section covers the creation and management of datasets, compute instances, and clusters, and takes you through building and submitting machine learning pipelines. You'll delve into custom code, error handling, and understanding complex pipelines, ensuring a thorough grasp of Azure ML Designer and SDK setup. The section also introduces AutoML, model registration, deployment strategies, and production compute targets, preparing you for real-world applications of Azure's machine learning tools. Section 2: AI-900 MS Azure AI Fundamentals This section is designed to provide a foundational understanding of artificial intelligence (AI) and its applications within Microsoft Azure. Beginning with an introduction to AI and the AI-900 exam requirements, you will explore common AI workloads, responsible AI principles, and privacy and security considerations. The section covers various machine learning types, dataset features, and the training and validation process. You'll gain practical experience with AutoML, machine learning designer tools, and common computer vision and natural language processing (NLP) workloads, using Azure's services to build and deploy models without extensive coding. This section is perfect for those new to AI and seeking to understand its fundamentals and applications. Section 3: DP-900 Azure Data Fundamentals Section 3 focuses on the basics of data representation, storage options, and data workloads within Azure. You'll start with an introduction to the DP-900 exam requirements, followed by an exploration of relational and non-relational databases, including normalization, SQL, and NoSQL databases. Practical demos will guide you through creating databases, views, stored procedures, and indexes, as well as deploying and managing Azure SQL and Cosmos DB. This section also covers modern data warehousing, Azure Data Factory, and data visualization tools like Power BI, providing a comprehensive overview of Azure's data services and their practical applications. Section 4: DP-300 Azure Relational DBA This section prepares you for managing relational databases in Azure. After an introduction and overview of the DP-300 exam requirements, you'll learn about Azure's SQL database options, creating and managing Azure VMs, and deploying SQL servers. Topics include functional and scaling requirements, availability and backup strategies, and security measures for SQL databases. You will explore scaling techniques, SQL database replicas, sharding, and data synchronization. The section also covers migration and upgrade strategies, ensuring you are well-equipped to handle Azure SQL database management and optimization. Section 5: Microsoft Azure - Basics In Section 5, you will explore the fundamentals of Microsoft Azure and cloud computing. Starting with an overview of cloud computing principles and the history of Azure, you'll learn about key cloud services, deployment models, and the architecture of Microsoft Azure. The section covers account registration, the Azure portal, and various tools for managing Azure services, including PowerShell and CLI. You will gain practical knowledge of Azure virtual machines, storage options, and networking configurations, preparing you to leverage Azure's capabilities for various cloud-based applications and services. Section 6: Azure Practical - Cognitive Services Section 6 provides an in-depth look at Azure's cognitive services, focusing on practical applications. You'll begin with an introduction to Azure Cognitive Services and the creation of a free tier account. The section covers vision APIs, computer vision, face API, custom vision, form recognizer, and video indexer, with hands-on exercises for each service. You'll also explore speech APIs, including speech-to-text, text-to-speech, and translation services. Additionally, the section covers language services, sentiment analysis, entity recognition, and the QnA Maker, providing a comprehensive understanding of how to implement cognitive services in real-world scenarios. Section 7: Azure Cognitive Services - Creating an AI-Based Chatbot In this section, you will learn how to create an AI-based chatbot using Azure Cognitive Services. Starting with an introduction to the course, you'll explore the QnA service, Java application creation, and resolving issues within the application. The section provides practical steps for running and deploying the chatbot application, ensuring you have the skills to develop and manage AI-based chatbots effectively. Section 8: Microsoft Azure - Essentials Section 8 covers the essential principles and services of Microsoft Azure. Beginning with an introduction to Azure essentials, you will learn about the five principles of cloud computing, the history of cloud computing, and key types of cloud services. The section also covers cloud deployment models, Azure's architecture, and account registration. Practical demos will guide you through the Azure Resource Manager (ARM) and Azure Service Manager (ASM) portals, subscription management, and the installation and usage of Azure PowerShell and CLI. This section provides a solid foundation for understanding and utilizing Microsoft Azure's core services. Section 9: Microsoft Azure - Data Lake The final section focuses on Azure Data Lake, offering an introduction and overview of its components and services. You will learn how to create analytics accounts, process data within the Data Lake Store, and use the USQL language for data manipulation. The section covers defining analytics units, job stages, data ingestion, and processing multiple files. You'll also explore Azure Data Lake's integration with Visual Studio, monitoring and analyzing jobs, and using PowerShell and CLI for data management. The section concludes with a summary of Azure Data Lake's pricing and capabilities, equipping you with the knowledge to leverage this powerful data storage and processing solution. Conclusion By the end of this comprehensive course, you will have a deep understanding of Microsoft Azure's data science, AI, data fundamentals, relational database management, cognitive services, and cloud computing basics. Each section provides practical knowledge and hands-on experience, preparing you for various Azure certification exams and real-world applications of Azure's services. Whether you are a beginner or an experienced professional, this course will enhance your skills and help you leverage Azure's capabilities to their fullest potential.

Do you need to pass a HireVue or other AI interview to land your dream job? Are you a non-native English speaker? This course is designed for you. You will learn the skills and knowledge to pass your AI-type interview. COURSE UPDATED Included access to an AI-powered interview COACH. We partnered with YOODLI to give you the BEST AI interview and speech coach. Practice and get INSTANT FEEDBACK on your vocabulary choice, speed, pauses, "ums" and Ars", eye contact, centering, strong/weak language choice, and more. My name is Denis, I was the Head of Recruitment for 2 global organizations including Bank of America Merrill Lynch. Since 1994 I have interviewed over 10,000 people and designed interviews you experience. Since 2017 I have been teaching this course at 4 Universities to MBA students. It is the #1 interviewing program taught at City University of Hong Kong. The course contains: - Practice with an AI coach for instant feedback - How to set up for your AI interview - How the AI is assessing you. - What keywords the AI is listening out for. - Preparing you for questions HireVue will ask you. - Structuring winning and fluent answers with examples. - Planning and explaining your career goal objectives. - The 10 critical research questions you need to do. - The REAL answers to explaining strengths and weaknesses. - Advanced formula for success to answer 'Tell me about yourself'. You will receive step-by-step downloadable planners and clear examples to help you pass. Do you get nervous before interviews? I'll teach you how to handle your interview stress. A little bit of stress is good as it keeps you focused. Denis teaches you how to keep your stress at optimum levels. Our learners experience that, when they manage their stress, they have more successful interviews. We teach you HOW to cope with interview stress and give you TACTICAL exercises to remain CALM. Winning Competency answers. - You will learn advanced STAR technique that gets you results. - The SECRETS of Competency Scoring. Yes, you are scored between 1-5. - The secret to getting high competency question scores. Interview simulator: - Practice is the way to become successful so we made a simulator for you. - You will learn to answer tough questions and then build your confidence in our simulator under increasing amounts of pressure until you are ready. You CAN land your dream job. Let's get you started! passenglishinterview #englishinterviewquestions #ai #hirevue

Master AI in the legal field in just 8 weeks and double your case processing efficiency—start transforming your practice and performance today. Embark on a journey to mastery with "AI Mastery for Legal Professionals: Transforming Lawyers," a comprehensive course designed to address the quintessential challenges faced by lawyers today. This course is tailored to unveil the potential of artificial intelligence in revolutionising your legal practice, improving your professional performance, and elevating your overall wellbeing. With a focus on the five main difficulties that legal practitioners encounter, you'll explore the innovative AI tools and techniques that are changing the game. From automating tedious documentation to predicting case outcomes with remarkable accuracy, AI is the key to a more efficient and effective legal practice. Throughout this course, you'll gain hands-on knowledge about the strategic implementation of AI in the legal field, enabling you to stay ahead of the curve. Whether you're aiming to streamline your workflow, enhance your decision-making process, or foster stronger relationships with your clients, this course will provide you with the expertise to leverage AI to its fullest potential. Here are 10 excellent benefits and outcomes that students can expect from taking the "AI Mastery for Legal Professionals: Transforming Lawyers" course: 1. Increased Efficiency: Students will learn to automate routine tasks such as document review and legal research, freeing up time to focus on more complex legal work. 2. Enhanced Accuracy: By employing AI tools, students can reduce human error, increasing the accuracy of their work, from contract analysis to litigation support. 3. Data-Driven Decisions: The course will equip students with the skills to analyse large sets of data, enabling them to make more informed decisions based on predictive analytics. 4. Cost Reduction: Mastery of AI can lead to significant cost savings for legal professionals by streamlining operations and reducing the need for additional staff or resources. 5. Competitive Edge: Understanding and utilising AI will place students at the forefront of legal innovation, giving them a competitive advantage in the job market. 6. Improved Client Relationships: Students will learn how AI can enhance client service through personalised communication and more responsive legal solutions. 7. Risk Mitigation: The course will teach how to use AI for compliance monitoring and risk assessment, helping to avoid potential legal issues before they arise. 8. Strategic Case Management: AI mastery will enable students to predict case outcomes and plan more effective legal strategies. 9. Work-Life Balance: By automating time-consuming tasks, legal professionals can achieve a better work-life balance, leading to improved wellbeing. 10. Future-Ready Skills: As the legal industry evolves, students will be prepared to adopt and adapt to new technologies, ensuring long-term relevance in their careers. The transformation for students taking this course will be multifaceted. In their careers, they will become innovators and leaders in the legal tech space, equipped to handle the complexities of modern law with advanced tools. In their personal lives, the time and stress saved through efficiency can lead to a more balanced lifestyle, with time for personal development, family, and hobbies. Overall, they will be well-positioned to thrive in a rapidly changing legal landscape.