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The Cloud Digital Leader training consists of a course series designed to give you foundational knowledge about cloud technology and data. This training also offers an overview of Google Cloud products and services that enable organizations’ digital transformation. This training will empower you and your team(s) to contribute to cloud-related business initiatives across your organization. This training builds knowledge in these areas: - General cloud knowledge - General Google Cloud knowledge - Google Cloud products and services - Digital transformation, data, and AI/ML - Modernizing company IT infrastructure and applications Applied Learning Project Students will have an opportunity to validate their knowledge gained throughout each of the courses with practice and graded assessments at the end of each module and for each course. Practice and graded assessments are used to validate and demonstrate learning outcomes.

Prepare for a career in the field of machine learning. In this program, you’ll learn in-demand skills like AI and Machine Learning to get job-ready in less than 3 months. Machine Learning is the use and development of computer systems that are able to learn and adapt by using algorithms and statistical models to analyze and draw inferences from patterns in data. Machine Learning is a branch of Artificial Intelligence (AI) where computers are taught to imitate human intelligence in that they solve complex tasks. Roles available to those proficient in Machine Learning include machine learning engineer, NLP scientist, and data engineer. This program consists of courses that provide you with a solid theoretical understanding and considerable practice of the main algorithms, uses, and best practices related to Machine Learning. Topics covered include Supervised and Unsupervised learning, Regression, Classification, Clustering, Deep learning and Reinforcement learning. You will follow along and code your own projects using some of the most relevant open-source frameworks and libraries, and you will apply what you have learned in various courses by completing a final capstone project. Upon completion, you’ll have a portfolio of projects and a Professional Certificate from IBM to showcase your expertise. You’ll also earn an IBM Digital badge and will gain access to career resources to help you in your job search, including mock interviews and resume support. Applied Learning Project This Professional Certificate has a strong emphasis on developing the real-world skills that help you advance a career in Machine Learning and Deep Learning. All the courses include a series of hands-on labs and final projects that help you focus on a specific project that interests you. Throughout this Professional Certificate, you will gain exposure to a series of tools, libraries, cloud services, datasets, algorithms, assignments, and projects that will provide you with practical skills to use on Machine Learning jobs. These skills include: Tools: Jupyter Notebooks and Watson Studio Libraries: Pandas, NumPy, Matplotlib, Seaborn, ipython-sql, Scikit-learn, ScipPy, Keras, and TensorFlow. Algorithms: Supervised and Unsupervised learning, Regression, Classification, Clustering, Linear Regression, Ridge Regression, Machine Learning (ML) Algorithms, Decision Tree, Ensemble Learning, Survival Analysis, K-means clustering, DBSCAN, Dimensionality Reduction

As machine learning models begin making important decisions based on massive datasets, we need to be aware of their limitations. In this specialization, we will explore the rise of algorithms, fundamental issues of fairness and bias in machine learning, and basic concepts involved in security and privacy of machine learning projects. We'll finish with a study of 3 projects that will allow you to put your new skills into action. Applied Learning Project AI Ethics research is an emerging field, and to prove our skills, we need to demonstrate our critical thinking and analytical ability. Since it's not reasonable to jump into a full research paper with our newly founded skills, we will instead work on 3 projects that will demonstrate your ability to analyze ethical AI across a variety of topics and situations.

In this exciting project, you're about to embark on a journey into the world of AI-powered marketing. We'll start by teaching you how to create catchy texts and eye-catching images using advanced AI tools. As we delve deeper, you'll discover powerful techniques like sentiment analysis, which helps gauge customer feelings, and A/B testing, which lets you find out which marketing strategy works best. Not only will these skills enhance your marketing strategies, but they'll also equip you to design content that truly resonates with your audience. By the project's end, you'll have a toolkit of skills to create standout marketing materials, ensuring your business gets the attention it deserves and propelling it towards growth.

Leaders are constantly seeking innovative tools to amplify their impact. Dive into the realm of Generative AI, a groundbreaking technology poised to redefine the leadership landscape more profoundly than the Internet itself. This course offers a comprehensive journey into understanding, applying, and mastering Generative AI as a robust tool to amplify leadership capabilities. You will gain hands-on experience that teaches you to use Generative AI for: - Agenda Architecting: Let Generative AI craft impeccable agendas for you. Say goodbye to oversight and hello to perfectly planned meetings. - Proposal Proficiency: Dive deep into complex proposals with AI by your side. Identify risks, ambiguities, and potential pitfalls with laser-sharp precision. - Your Private Think-Tank: Use Generative AI as a confidential thought partner. Brainstorm, strategize, and refine your ideas with an AI confidant that's always ready. - Masterful Communication: Draft emails, documents, and crucial materials with eloquence and precision. Let Generative AI be your co-author, ensuring your communications resonate with impact. - Navigating HR Dynamics: Explore challenging HR conversations with added insight. Generative AI assists you in understanding nuances and guiding delicate conversations towards positive outcomes. - Seamless Leadership Transitions: Whether it's you moving up the ladder or a team member stepping into a new role, Generative AI aids in ensuring smooth transitions. Plan, strategize, and execute leadership handovers with unparalleled confidence. In addition to these key hands-on tasks, you will quickly come up to speed on how to innovate with Generative AI, and explore: - Deep Dive into Generative AI: Grasp the underlying principles of Generative AI and its transformative potential. Equip yourself to make critical decisions about implementing Generative AI in your organization, ensuring you stay ahead in the modern leadership curve. - Augmented Intelligence - The New Frontier: Discover how Generative AI acts as an 'Exoskeleton for the Mind', enhancing your cognitive capabilities. Witness firsthand how Augmented Intelligence is not just a concept but a revolutionary way to supercharge your leadership style. - Boost Your Productivity: No more starting from scratch! Learn how Generative AI can be your assistant, creating agendas, drafting emails, generating documents, and much more. Experience a dramatic surge in efficiency, getting your work 50% to 80% completed before you even begin. - Addressing Staff Anxiety: In a world where AI is often viewed with skepticism, understand how to navigate the waters of staff anxiety. Discover how to effectively communicate the capabilities and limitations of Generative AI, ensuring a seamless integration into your organization. - Beyond the Internet - The Generative AI Revolution: Understand why experts are heralding Generative AI as a technological marvel surpassing the transformative impact of the Internet. Prepare yourself for the future of leadership in an AI-augmented world.

AI is disrupting every aspect of business and daily life. Author Arthur C. Clarke famously said that “Any sufficiently advanced technology is indistinguishable from magic.” But artificial intelligence (AI) is not magic. It’s math and science, and it’s going to touch every aspect of our lives. IBM AI Academy offers this course with as part of its initiative to bring awareness at executive levels on the capabilities of AI. Led by IBM thought leaders, this course provides lessons and learnings that are appropriate for CXOs or line of business leaders. The course will provide foundation level understanding of generative AI. You will learn about what generative AI is, how generative AI can create business value, the importance of AI trust and transparency, and how apply generative AI to key use cases like customer service and application modernization. This is a short self-paced course where you hear from IBM's thought leaders. Come join us in our effort to help you get started with AI adoption!

This course is designed for everyone, including professionals, executives, students, and enthusiasts interested in leveraging effective prompt engineering techniques to unlock the full potential of generative artificial intelligence (AI) tools like ChatGPT. Prompt engineering is a process to effectively guide generative AI models and control their output to produce desired results. In this course, you will learn the techniques, approaches, and best practices for writing effective prompts. You will learn about prompt techniques like zero-shot and few-shot, which can improve the reliability and quality of large language models (LLMs). You will also explore various prompt engineering approaches like Interview Pattern, Chain-of-Thought, and Tree-of-Thought, which aim at generating precise and relevant responses. You will be introduced to commonly used prompt engineering tools like IBM watsonx Prompt Lab, Spellbook, and Dust. The hands-on labs included in the course offer an opportunity to optimize results by creating effective prompts in the IBM Generative AI Classroom. You will also hear from practitioners about the tools and approaches used in prompt engineering and the art of writing effective prompts.

In the era of Generative AI, the demand for personalized and specialized Generative AI assistants is skyrocketing. Large language models like GPTs have demonstrated their remarkable capabilities, but what if you could harness their power to create custom AI assistants tailored to your specific needs? Welcome to the world of custom GPTs, where you can build intelligent systems that understand your domain, speak your language, and solve your unique challenges. This cutting-edge course will guide you through the exciting journey of creating and deploying custom GPTs that cater to diverse industries and applications. Imagine having a virtual assistant that can tackle complex legal document analysis, streamline supply chain logistics, or even assist in scientific research and hypothesis generation. The possibilities are endless! Throughout the course, you'll delve into the intricacies of building GPTs that can use your documents to answer questions, patterns to create amazing human and AI interaction, and methods for customizing the tone of your GPTs. You'll learn how to design and implement rigorous testing scenarios to ensure your AI assistant's accuracy, reliability, and human-like communication abilities. Prepare to be amazed as you explore real-world examples and case studies, such as: 1. GPT for Personalized Learning and Education: Craft a virtual tutor that adapts its teaching approach based on each student's learning style, providing personalized lesson plans, interactive exercises, and real-time feedback, transforming the educational landscape. 2. Culinary GPT: Your Personal Recipe Vault and Meal Planning Maestro. Step into a world where your culinary creations come to life with the help of an AI assistant that knows your recipes like the back of its hand. The Culinary GPT is a custom-built language model designed to revolutionize your kitchen experience, serving as a personal recipe vault and meal planning and shopping maestro. 3. GPT for Travel and Business Expense Management: A GPT that can assist with all aspects of travel planning and business expense management. It could help users book flights, hotels, and transportation while adhering to company policies and budgets. Additionally, it could streamline expense reporting and reimbursement processes, ensuring compliance and accuracy. 4. GPT for Marketing and Advertising Campaign Management: Leverage the power of custom GPTs to analyze consumer data, market trends, and campaign performance, generating targeted marketing strategies, personalized messaging, and optimizing ad placement for maximum engagement and return on investment. Whether you're a business leader, entrepreneur, developer, or educator, this course will equip you with the skills to harness the transformative potential of custom GPTs. Unlock new realms of productivity, innovation, and personalized experiences by building AI assistants that truly understand and cater to your unique needs. Enroll now and join the forefront of AI revolution, where you'll learn to create intelligent systems that not only comprehend but also anticipate and exceed your expectations.

AI is everywhere! By harnessing the power of Artificial Intelligence, businesses and marketers have amazing growth potential, and the opportunities to enhance marketing with AI are always expanding. But how can businesses use AI tools to drive their success and gain sustainable competitive advantages? What are the challenges faced by businesses as they implement AI into their marketing strategies? In this course, developed at the Darden School of Business at the University of Virginia, and delivered by Professor of Business Administration Raj Venkatesan, you will explore an important frontier of digital transformation in marketing. You will examine three key forces that enable AI in marketing strategies - Algorithms, Networks, and Data - and gain a deeper understanding of how businesses in a wide variety of industries can get the most out of this exciting technology. You will see real world examples of successful companies like Ford, Netflix, and the Washington Post using AI to take on the competition in new and creative ways, and hear from experts about how AI is shaping the present and the future in their respective industries.

This course is designed for everyone, including professionals, executives, students, and enthusiasts, interested in learning about generative AI and leveraging its capabilities in their work and lives. This course is your first step toward understanding the capabilities of generative AI, powered by different models, including large language models (LLMs). In this course, you will learn about the fundamentals and evolution of generative AI. You will explore the capabilities of generative AI in different domains, including text, image, audio, video, virtual worlds, code, and data. You will understand the applications of generative AI across different sectors and industries. You will learn about the capabilities and features of common generative AI models and tools, such as GPT, DALL-E, Stable Diffusion, and Synthesia. Hands-on labs, included in the course, provide an opportunity to explore the use cases of generative AI through IBM Generative AI Classroom and popular tools like ChatGPT. You will also hear from the practitioners about the capabilities, applications, and tools of generative AI.

In this course, you will go in-depth to discover how Machine Learning is used to handle and interpret Big Data. You will get a detailed look at the various ways and methods to create algorithms to incorporate into your business with such tools as Teachable Machine and TensorFlow. You will also learn different ML methods, Deep Learning, as well as the limitations but also how to drive accuracy and use the best training data for your algorithms. You will then explore GANs and VAEs, using your newfound knowledge to engage with AutoML to help you start building algorithms that work to suit your needs. You will also see exclusive interviews with industry leaders, who manage Big Data for companies such as McDonald's and Visa. By the end of this course, you will have learned different ways to code, including how to use no-code tools, understand Deep Learning, how to measure and review errors in your algorithms, and how to use Big Data to not only maintain customer privacy but also how to use this data to develop different strategies that will drive your business.

The AI for Good Specialization showcases how AI can be part of the solution when it comes to addressing some of the world’s biggest challenges in areas like public health, climate change, and disaster management. In these courses, you’ll learn from instructor Robert Monarch, who has over 20 years of experience building AI products in industry and working at the intersection of AI and public health and disaster management. Robert is also the author of Human-in-the-Loop Machine Learning, a book focused on human-centered AI applications. Throughout the courses, you'll hear from experts working on AI for Good initiatives aimed at addressing social and environmental issues. By combining human and machine intelligence, real-world datasets, best practices around data privacy, and ethical considerations, you’ll develop the knowledge and fundamental skills to tackle your own AI for good projects. These courses were built in partnership with researchers at the Microsoft AI for Good Lab who offered their subject matter expertise throughout the development of the program. We are also grateful to Sasha Luccioni, Climate Lead and Researcher at HuggingFace for her help in forming the high-level program structure, outlining what kinds of topics and case studies would work best for these courses, and recruiting many of the experts that either appear in guest speaker videos or have contributed behind the scenes. Applied Learning Project - Use neural networks and other AI techniques to estimate air quality throughout the city of Bogotá, Colombia. - Develop an AI model to make wind power generation more predictable by providing forecasts 24 hours into the future. - Apply computer vision techniques to detect and classify animals for the purpose of biodiversity monitoring. - Build an image classification pipeline to perform damage assessment using satellite images taken after Hurricane Harvey in the U.S. in 2017. - Use natural language processing techniques to analyze trends in a corpus of text messages sent in the aftermath of the 2010 earthquake in Haiti.