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This specialization is designed to introduce students to a broad range of financial technologies. Although finance has always been at the forefront of technological innovation, the financial industry is rapidly changing as new technologies impact it. In the past, central governments and financial institutions were at the forefront of innovation in finance. Today, information technology firms and professionals are leading innovation in the financial industry. Our goal is to show students the genesis and use cases of the technology. We hope to familiarize professionals with the technology enough that they can use and adapt it in their careers. Applied learning project Stories are part of the human experience. We all have stories to tell, but they are also great learning tools. These courses will use a storytelling approach that will ask you to role-play a character in a context that directly relates to the content you will be working with. This approach will help you relate to the information being presented, challenge you to apply your knowledge and skills in a new context, and give you and others an opportunity to reflect on a shared experience.

This MOOC aims to demystify research and research methods. It will set out the basics of conducting research, aimed primarily, but not exclusively, at postgraduate students. Our focus is on working with students, who will be engaged in active and challenging discussions and exercises, befitting the research-intensive status of SOAS, the University of London, and its rich research heritage. The course will be of interest to those of you who require an understanding of research approaches and skills and, importantly, the ability to apply these in your studies or professional work. In particular, this course will help those of you who are required to undertake research as part of your postgraduate studies but may not have access to research methods courses, or those of you who feel you would like additional support to improve yourself. No prior knowledge or experience of research is required to take this course, so it is suitable for everyone. This MOOC draws on a wealth of existing course material designed to support research learning at SOAS, University of London, and in particular from the Centre for International Studies and Diplomacy (CISD). In 2015, the course was nominated for the university’s prestigious Guardian Award for its innovative approach to online learning. Participation in or completion of this online course does not provide credit towards any University of London degree.

The modern professional environment is highly competitive, constant changes and management complexity. Employees rarely reach management positions without managing one or more projects or a segment of projects early in their careers. The purpose of this specialization, brought to you by the Rice Center for Engineering Leadership and the team that created Master's program in Engineering Management, - to give you the tools to manage projects more effectively and successfully; to give you a solid foundation of knowledge, skills and confidence that will set you apart from others and give you a competitive advantage as you move into management positions. This Project Management for Engineering specialization is designed as an introduction to project management. It is intended for engineers who are interested in improving their project management skills in new management position or approaching your first management position. In this specialization, you will prepare key Project Execution Plan documents based on available templates. Applied learning project In this specialization, students will examine a specific engineering case study and prepare a project charter, stakeholder engagement matrix, statement of work, work breakdown structure, project schedule, project estimate, project risk matrix, and project cause and effect diagram based on the facts in the case study. Students will also be asked to calculate project progress using the Earned Value method.

In this course, you will learn the foundations on which modern ESG was built, how market forces respond to ESG, and how to create and maintain value through ESG investment strategies. You will also learn about the five pathways to materiality and how they interact with ESG metrics. You will explore the many challenges that corporations face when using ESG investing in their portfolios, and how the changing ESG landscape makes this an untapped area when it comes to the financial performance of modern companies. You will also learn from real-world examples how to assess risk, create better risk management policies, and build a map to identify valuable areas of opportunity and create better decision-making approaches. Finally, you will look at portfolio optimization and using ESG factors to maximize returns, and examine different funds, their fee structures, and how investors can incorporate ESG into their investment portfolio. By the end of this course, you will know the best practices for creating a robust risk management plan and how to build an ESG-sensitive culture. You will gain a better understanding of the history and fundamentals of ESG, and how to create a path forward using smarter methods to identify risk, address ESG issues, and achieve ESG investing goals.

This course provides health professions educators with an asynchronous, interdisciplinary, and interactive way to gain, extend, and improve their teaching skills. These skills can then be applied in their own professional contexts, with a variety of learners, at many stages. Upon completion of this course, students will: 1. Understand educational theory as it applies to health professions education 2. Relate teaching methods to desired learning outcomes 3. Explore a variety of applied teaching methodologies 4. Share successful teaching strategies Resources provided will include instructional videos, individual readings, recommended references, and peer-reviewed recommendations. All students must have reliable internet access with the ability to view streaming video. Some students may require the ability to use online video conferencing.

This is the fourth of seven courses in the Google Advanced Data Analytics Certificate. In this course, you'll discover how data professionals use statistics to analyze data and gain important insights. You'll explore key concepts such as descriptive and inferential statistics, probability, sampling, confidence intervals, and hypothesis testing. You'll also learn how to use Python for statistical analysis and practice communicating your findings like a data professional. Google employees who currently work in the field will guide you through this course by providing hands-on activities that simulate relevant tasks, sharing examples from their day-to-day work, and helping you enhance your data analytics skills to prepare for your career. Learners who complete the seven courses in this program will have the skills needed to apply for data science and advanced data analytics jobs. This certificate assumes prior knowledge of fundamental analytical principles, skills, and tools covered in the Google Data Analytics Certificate. By the end of this course, you will: -Describe the use of statistics in data science -Use descriptive statistics to summarize and explore data -Calculate probability using basic rules -Model data with probability distributions -Describe the applications of different sampling methods -Calculate sampling distributions -Construct and interpret confidence intervals -Conduct hypothesis tests

Over the course of four intensive courses, you’ll learn everything you need to know to start building and leading a data science business, even if you’ve never worked in data science before. You’ll get a crash course in data science so you’re well-versed in the field and understand your role as a leader. You’ll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You’ll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on track throughout each stage. Finally, you’ll gain several practical skills to help you overcome common challenges that often derail data science projects.

Start your cloud computing journey with this introductory course! Whether you need a general understanding of cloud computing for school or business, or are considering a career change, this beginner-friendly course is for you. In this course, you will learn about the key characteristics of cloud computing and the emerging technologies supported by the cloud. You will explore cloud service models including infrastructure as a service (IaaS), platform as a service (PaaS), software as a service (SaaS), and public, private, and hybrid deployment models. Explore offerings from leading cloud providers AWS, Google, IBM, Microsoft, and others, and explore cloud computing examples. Learn about cloud adoption, blockchain, analytics, and artificial intelligence. You will learn about the many components of a cloud computing architecture, including data centers, availability zones, virtual machines, containers, and bare metal servers. You will also be introduced to the different types of cloud storage systems, such as Object Storage. You will gain a foundational understanding of emerging cloud computing trends and practices, including hybrid, multi-cloud, microservices, serverless, DevOps, Cloud Native, application modernization, and learn about cloud security and monitoring. You will also learn about job roles in cloud computing and possible career paths and opportunities. Throughout the course, you will complete a series of labs and quizzes that will help you better understand the course content. At the end of the course, you will complete a final project where you will deploy an application to the cloud using a serverless architecture, which will be a valuable addition to your portfolio. After completing this course, check out related courses that will help you in your new career as a cloud engineer, full stack developer, DevOps engineer, cybersecurity analyst, and more.

Social Media Marketing using AI– Automation of Content Creation that gets more Clicks and Impressions 93% of marketers worldwide are using social media for business… 67% of consumers expect brands and companies to have a social media presence… 37.9% of consumers revealed that they have made a purchase after seeing a social media advertisement… The above facts highlight the crucial role of social media marketing for your business… But crafting messages that truly resonate with your audience without the aid of technology can lead to hit-or-miss content, jeopardizing your brand's authority on platforms like Instagram, Facebook, TikTok, and more. On top of that, creating unique content all the time can be mentally taxing! And in the case of Facebook or Instagram Marketing, it can be financially draining as well. You spend endless hours creating content that is repetitive, vague and generic. This leads to zero engagement, mental frustration and generic content that just doesn’t click with the audience! But here’s the truth. Successful social media marketing does not require spending hours brainstorming a catchy caption or creating the perfect reels. It’s about leveraging the power of AI to create insightful and powerful content - without spending endless hours brainstorming and without the constant fear of content falling flat! Introducing a Power-Packed Course on Social Media Marketing with ChatGPT A comprehensive course to harness the unparalleled potential of ChatGPT in your social media campaigns. Experience not only Time Freedom but also the promise of superior content quality. With our guidance, you'll: - Establish a commanding digital presence that resonates. - Refine and uplift your brand's image in the digital sphere using insights from AI. - Achieve substantial boosts in sales and conversions, all powered by proven AI strategies and methods. This course equips you for: - AI-Driven Content Creation: Whether you're crafting tweets, ads for Facebook Marketing, or captions for Instagram Growth, discover the magic of generating compelling content with ChatGPT's insights of the platform also. - Platform-Specific Techniques: From the world of Instagram stories and TikTok clips to YouTube videos and Facebook posts, tailor your AI-backed strategies to resonate across platforms seamlessly. - Simplified Technical Know-How: Not a tech geek? No worries. We’ll walk you through the basics. Learn the intricacies of AI and ChatGPT, ensuring you're leveraging the tool to its fullest with ease. - Informed AI Decisions: No more shooting in the dark! Explore the world of AI with clarity, ensuring every strategic move is backed by proven methods. - Plug-n-Play Content Generation: Save yourself the effort of experimenting with prompts. Harness the efficiency of our pre-designed prompts tailored for varied platforms and niches. Jumpstart your content creation without spending hours finding the perfect command. - Practical Application: We believe in the power of doing. Engage in hands-on exercises and real-world scenarios that don't just build knowledge, but also confidence in implementing AI-driven strategies. This ChatGPT for Social Media Marketing course is your ticket to: Confident Social Media Posting: With profound knowledge in your hands, create posts using Chatgpt with confidence and certainty. Say Goodbye to Guess-Work: No more hit or miss. Consistently build your audience without burning yourself out. More Bang for Your Buck: Turn those followers into customers using posts that grab attention and instantly connect. Better content means more sales– plain and simple. Simplified Social Media Process: Ditch the stress and frustration of brainstorming new post ideas. We've got the roadmap to make content creation a breeze with plug-n-play prompts and proven methods. Why Social Media Content Creators are Loving Our Course Beyond Basics: Unlike many courses that hover over the basics, we dive deep into advanced strategies for social media marketing using ChatGPT. While foundational knowledge is essential, our course is designed to offer both beginners and seasoned creators actionable insights that can be applied immediately. Active and Engaged Instructors: Our team is passionately involved, consistently updating and refining the course content based on real-time trends and feedback. We believe in practicing what we preach, and our active engagement is a testament to that commitment. Zero BS- Tailored Content: We recognize that each platform has its unique rhythm and requirements. Our course is tailored to address platform-specific nuances, ensuring that you're equipped with proven methods and strategies that are relevant, effective, and far from generic. About the Lead Instructor Boasting an impressive 12+ years in the dynamic world of digital marketing and content creation, Jack Wilson has successfully charted strategies for everything from budding startups to international conglomerates. With a staggering 180,000+ students benefiting from his insights and an overwhelming 5,000+ positive reviews on his courses, Jack's expertise in SEO, AI-driven writing, and content marketing is unmatched. Beyond the numbers, his hands-on approach to teaching what he practices, combined with real-world examples from diverse sectors like legal, healthcare, and finance, ensures that every student gains actionable and practical knowledge- and not just theory of social media. Shorten your earning curve by learning from someone who has done it for himself. Course Requirements - Basic Understanding of Social Media: Familiarity with platforms such as Facebook, Instagram, TikTok, and YouTube. - Access to ChatGPT: Whether it's a free version or a subscription, students should have ChatGPT available for practical exercises. - A Computer or Smart Device: A stable internet connection on a device capable of running ChatGPT and accessing various social media platforms. Who Can Benefit From This Course - Beginner Social Media Marketers: If you're just starting out and looking to make your mark in the world of social media, this course will give you an edge by introducing the power of AI-driven content creation. - Established Digital Marketers: Even if you've been in the game for a while, learning how to integrate ChatGPT into your strategies can save you countless hours while maximizing your ROI from social media. - Content Creators: Bloggers, vloggers, and Instagram influencers looking to streamline content creation and increase engagement across platforms without spending more time and effort. - Business Owners: For those who manage their own brand's social media or want to understand the potential of AI in marketing before hiring a professional. - Freelancers: Stand out in the marketplace by offering AI-optimized content creation as part of your services. Maximize Your Social Media Presence with ChatGPT Effortlessly! If this course doesn't resonate with your aspirations or deliver as promised, we've got you covered. We believe in our course's value and offer a hassle-free, full refund– no questions asked. Seize this opportunity to elevate your content, grow authentically, and tap the potential of social media marketing for your business! Eager to lead you on this transformative journey – Jack Wilson & Phil Ebiner

Master Generative AI: From Beginner to Pro with Udemy's Comprehensive Course Demystify AI & Unlock its Creative Potential! Are you intrigued by the world of Generative Artificial Intelligence (AI)? Whether you're a complete novice or an experienced professional, this Udemy course: Mastering Generative AI equips you with the knowledge and skills to navigate this exciting field. Structured Learning for All Levels: The course provides a step-by-step journey through key concepts and advanced techniques. What You'll Learn: - AI Fundamentals: Grasp the different types of AI learning, Neural Networks, and Deep Learning's significance. - Generative AI Unveiled: Explore the fascinating world of Generative AI and its real-world applications, with a hands-on Deep Learning demo. - Generative Model Mastery: Understand the diverse landscape of Generative Models and test your knowledge with engaging quizzes. - Generative Adversarial Networks (GANs): Deep dive into GANs, the core of Generative AI. Learn about their components, variants, and witness live demonstrations. Explore challenges, ethical considerations, and future trends. - Variational Autoencoders (VAEs) & Autoencoders: Unravel the architecture, training methods, and applications of VAEs and Autoencoders. Experience their power through demos and solidify your understanding with quizzes. - Large Language Models (LLMs): Explore the architecture and future prospects of LLMs, along with their real-world applications. - Transformer-Based Generative Models: Discover their transformative power in text generation, translation, and creative content creation. Gain hands-on experience and test your knowledge. - Mastering Prompt Engineering: Learn the art of crafting effective prompts to unlock the full potential of Generative AI models. Explore real-world applications, advanced techniques, and solidify your expertise with a final quiz. Become a Proficient Generative AI Practitioner: By the course's end, you'll be well on your way to becoming a skilled Generative AI professional, equipped to create groundbreaking solutions. Enroll Now and Unleash Your AI Creativity!

Generative AI Leadership: Mastering Innovation - Unlocking Strategic Advantages through Advanced AI Techniques Generative AI for Leaders is an advanced course designed to equip executives and decision-makers with the knowledge and skills needed to leverage generative artificial intelligence (AI) technologies effectively. This course delves into the core principles of generative AI, exploring its potential to revolutionize business operations, product development, and strategic planning. Participants will gain insights into how generative models work, including deep learning techniques such as GANs and transformers, and how these technologies can be applied to generate new content, predict trends, and optimize processes. Through hands-on projects and case studies, leaders will learn to identify opportunities where generative AI can provide competitive advantages, understand ethical considerations, and develop strategies to integrate these cutting-edge technologies into their organizations. By the end of this course, participants will be well-equipped to navigate the AI landscape, making informed decisions that drive innovation and growth within their industries. OK Why Important? In today's rapidly evolving digital age, understanding and harnessing the power of generative AI has become crucial for leaders across various sectors. Generative AI represents a significant leap forward in technology, offering unprecedented capabilities to create new content, design innovative products, and predict future trends with remarkable accuracy. Its importance lies in its transformative potential to disrupt traditional business models, enhance decision-making processes, and open up entirely new avenues for innovation. For leaders, mastering generative AI means gaining a competitive edge, driving efficiency, and fostering creativity within their organizations. It enables them to anticipate market shifts, tailor services to meet emerging customer needs, and stay ahead of the competition. Moreover, the ethical implications of AI, including data privacy and bias, necessitate leadership involvement to ensure responsible use of these technologies. By integrating generative AI into their strategic planning, leaders can unlock immense value, propelling their businesses towards sustainable growth and success in the digital economy. OK Advantages of Learning? Learning generative AI offers leaders a multitude of advantages, positioning them at the forefront of technological advancement and strategic innovation. Firstly, it equips leaders with the ability to leverage cutting-edge tools that can significantly enhance operational efficiency, creative problem-solving, and strategic decision-making. The insights derived from generative AI can lead to the development of groundbreaking solutions, enabling organizations to stay agile and responsive in fast-paced markets. Additionally, the integration of generative AI into organizational culture fosters a more innovative environment, encouraging employees to think creatively and adapt to new challenges. This, in turn, boosts employee morale and retention, as individuals feel valued and engaged in shaping the future of their industry. Furthermore, leaders who understand and implement generative AI demonstrate a commitment to leveraging technology for societal good, which can improve brand reputation and attract top talent. Lastly, the ethical considerations inherent in AI development require leadership guidance to ensure that advancements are made responsibly, balancing technological progress with human values. Thus, learning generative AI empowers leaders to navigate the complexities of the digital age, ensuring their organizations remain relevant, competitive, and ethically sound. OK Who Should Learn? In today's rapidly evolving digital landscape, the question of who should learn generative AI for leaders is both broad and essential. Primarily, this knowledge is invaluable for current and aspiring business leaders, including CEOs, CTOs, and managers across various industries. These professionals stand to benefit significantly from understanding how generative AI can transform traditional business models, enhance customer engagement, and streamline operations. Moreover, entrepreneurs and innovators looking to disrupt existing markets or create new ones should also prioritize learning about generative AI. This technology opens doors to developing unique products and services that can offer significant competitive advantages. Additionally, educators, researchers, and policymakers need to grasp the implications of generative AI to shape educational curricula, conduct meaningful research, and formulate policies that support ethical and responsible AI adoption. Finally, individuals in roles that involve data analysis, content creation, and design will find that mastering generative AI can open up new career paths and opportunities for innovation within their fields. In essence, anyone who seeks to navigate the future of work, drive technological innovation, or contribute to the ethical development of AI should consider learning about generative AI. OK Basic Requirements? To effectively learn generative AI as a leader, several foundational elements are crucial. First and foremost, a solid understanding of computer science fundamentals is necessary, including programming languages such as Python, which is widely used in AI development. Knowledge of machine learning concepts and algorithms is also essential, as generative AI models are built upon these principles. Familiarity with deep learning frameworks like TensorFlow or PyTorch is beneficial, as they provide the tools needed to implement and train generative models. A grasp of statistics and probability is important for interpreting model outputs and improving model performance. Additionally, leaders should develop an appreciation for the ethical considerations surrounding AI, including bias mitigation and privacy concerns. Lastly, staying abreast of the latest developments in AI through continuous learning and networking with peers in the field is critical, as generative AI is a rapidly advancing area of technology. By building these competencies, leaders can effectively leverage generative AI to innovate, make informed decisions, and lead their organizations into the future. OK Course Focus? This course serves as a comprehensive theoretical foundation for understanding and grasping the intricacies of Generative AI, designed specifically for leaders. It delves deeply into the core concepts, methodologies, and applications of generative AI without delving into practical aspects such as laboratory work, configuration, or setup. The focus remains on equipping learners with the necessary theoretical knowledge to comprehend how generative AI works, its potential impacts, and strategic implications for leadership roles. This approach ensures that participants gain a robust understanding of the subject matter, preparing them to navigate the complexities of generative AI in a leadership context.

GPT Builder Basic Course: Unleashing AI for Digital Creativity and Growth Welcome to the GPT Builder Basic Course, a comprehensive and interactive learning journey designed for aspiring developers, entrepreneurs, and creators. This course is your gateway to harnessing the power of Generative Pre-trained Transformer (GPT) technology to build innovative applications that cater to the burgeoning digital landscape. Course Overview Our course is structured to provide you with a foundational understanding of GPT models and their applications in real-world scenarios. We focus on practical, hands-on projects that enable you to develop and deploy AI-driven applications, particularly in the realm of digital content creation and online marketplaces. Key Modules and Projects 1. Introduction to GPT Models: Delve into the world of AI and machine learning, with a special focus on the architecture, capabilities, and potential of GPT models. Understand how these models can be trained and customized for various applications. 2. Building an App for New YouTubers: Learn to create an AI-powered application that assists emerging YouTubers in growing their channel. This app will offer insights and suggestions on content strategy, audience engagement, and channel optimization based on data-driven AI analysis. 3. Thumbnail Generating App: Develop a thumbnail generating app that uses GPT technology to create eye-catching, relevant, and customized thumbnails for videos. This module covers aspects of image recognition, text-to-image generation, and design aesthetics driven by AI. 4. Auction Listing Creation Tool: Dive into the development of an innovative app that simplifies the process of creating auction listings. This tool will use GPT to generate descriptive, persuasive, and SEO-friendly product descriptions, enhancing the visibility and appeal of listings. 5. Practical Application and Deployment: Gain hands-on experience in deploying these applications, ensuring they are user-friendly, responsive, and scalable. Learn about cloud services, API integrations, and the nuances of maintaining AI-driven apps. Why Choose This Course? - Tailored for Real-World Applications: Our projects are designed to address actual market needs, providing you with relevant skills that are in high demand. - Interactive Learning Experience: Engage in live sessions, Q&As, and collaborative projects with peers and industry experts. - Future-Ready Skills: Equip yourself with knowledge and expertise that are pivotal in the evolving digital ecosystem. Enroll Now and Transform Your Digital Creativity with AI!