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Prepare for a career in a fast-growing technology field . This program will teach you in-demand skills like product management, operational design, and artificial intelligence, and get you on the job in 6 months or less , with no prior experience required. AI Product Managers are responsible for the success of AI products by combining knowledge of product management principles with a deep understanding of AI technologies and their applications. This program will teach you the fundamental principles of product management , from understanding roles and responsibilities to navigating the entire lifecycle and associated artifacts from product ideation to launch. This program will not only help you launch a career in product management, but will also lay a solid foundation for further career development in other fields, such as healthcare, finance, logistics, e-commerce, and cybersecurity. You'll also learn generative AI concepts like hint design and foundation models. With real-world experience, including a series of hands-on projects , this professional certificate will enable you to create compelling products using generative AI. Upon completion of the program, you will have a portfolio of projects and an IBM professional certificate confirming your competence . Applied learning project This professional certificate places a strong emphasis on applied learning and includes a range of practical sessions . During these sessions, you will take the theoretical knowledge and skills you have learned and apply them to real-world scenarios . You will be able to: - Create an initial product concept, vision, and project charter - Create a checklist for efficient product development, qualification, launch, delivery and decommissioning - Create a product backlog using the sprint planning process - Create schedule regression charts to predict whether the sprint goal can be met You will also work on artificial intelligence projects: - Generate text, images and code using generative AI - Apply operational design methods and best practices - Use Generative AI Models to Build a Used Car Sale Price Prediction Model Finally, you'll combine product management and AI concepts to create a product using generative AI .

Becoming a Certified SAP Professional is the seventh course in the SAP Technology Consultant Professional Certification program. Now that you have completed the first 6 courses, including the project, you will spend time considering the next steps in your SAP career. You will explore different industries, portfolios, and domains. You will delve into available career development resources, build your resume, practice interviewing, and research job openings in the marketplace. You will spend time assessing which SAP learning path you want to take, including which certifications are required for which role. You will then create your own SAP career development plan, listing the actions you need to take to achieve your desired role at SAP. By the end of this course, you will: Know what next steps you need to take to become an SAP professional Have a clear understanding of the different industries, portfolios, and areas you may want to specialize in as an SAP professional Be aware of the SAP certification opportunities available on the SAP Learning Hub Be aware of other industry-standard technical certifications and how they can support and enhance your SAP credentials and expertise. Have clear guidelines for writing a resume or CV, interviewing, and positioning yourself as the best possible person.

This course examines the creation and administration of organizational policies and procedures. You will evaluate the values ​​and relationships between the workforce and employees. You will learn methods for evaluating the performance of employees at all levels. By the end of this course, you will be able to: ● Create policies for the workforce and employees of an organization ● Evaluate the different attitudes and values ​​of the workforce and organization ● Summarize the culture of a company and how it is controlled and developed ● Explain the concepts of performance management for all levels of employees ● Outline the principles of organizational design and performance strategy No prior experience in human resources management is required to successfully complete this course.

In this course, you will begin by addressing the two "big questions" of accounting: "What do I have?" and "How have I performed over time?" You will see how the two key financial statements - the balance sheet and the income statement - are designed to answer these questions, and then move on to consider how individual transactions come together to form these financial statements. Once you have a broad understanding of accounting and financial reporting, you will begin to understand more finely the individual components of running a business, such as making a sale or building up inventory. By looking at many of the most common business activities, you will strengthen your understanding of accounting and examine these concepts by applying them to different types of transactions. Once you have a better understanding of these individual concepts, you will be ready to return to overall financial statements and use them as an information tool, including constructing ratios. You can take this course on its own or to qualify for the full-time component of the Executive Education program, Finance for Strategic Decision Making. For more information, please see the FAQ below.

This specialization covers much of the material that first-year computer science students learn at Rice University and is taught by faculty world class, which lead our Master's and doctoral programs. Students learn complex Python programming skills from scratch and apply these skills to build over 20 engaging projects. The specialization culminates in a Capstone exam, which allows students to demonstrate the breadth of knowledge they have gained in the specialization.

Once you have an understanding of what compliance is and why it might be important, it’s natural to ask, “What do I do about it?” In this course, we’ll look at one of the key factors in creating a positive compliance culture: human psychology. We’ll think about what drives us, what makes us pay attention, what distracts us, and how all of these elements help to build a strong belief in an organizational culture of compliance. We'll look at formal compliance programs, diving into the nuances of how they work in practice. We'll also look at the technology, workflows, policies, monitoring, and training needed to create the tools to develop an effective compliance program.

Take your Excel productivity to the next level by learning how to use the power of ChatGPT, whether you're an Excel hobbyist or an experienced user. In this course, you'll learn how to effectively standardize, extract, classify, and generate data using the combined power of Excel and ChatGPT. Through hands-on projects and real-world scenarios, you will gain hands-on experience creating standardized data sets, writing formulas to clean and classify data, extracting text from URLs, conducting sentiment analysis, and creating dummy data for surveys. This course offers a unique opportunity to explore the potential of combining the power of artificial intelligence with common business problems solved in Excel. Basic knowledge of Excel is recommended to get the most out of this course.

Bersiaplah untuk karier baru di bidang analitik data yang sedang tumbuh pesat, tidak diperlukan pengalaman atau gelar apa pun di sini. Dapatkan pelatihan profesional yang oleh Google dan manfaatkan peluang terhubung dengan berbagai perusahaan terkemuka. Analitik data adalah proses pengumpulan, transformasi, dan penataan data untuk menarik kesimpulan, membuat prediksi, dan memberi informasi dalam mengambil keputusan yang tepat Melalui 8 materi yang ada, Anda bisa mendapatkan keterampilan yang banyak dibutuhkan dan menyiapkan diri untuk bekerja sebagai analis data tingkat pemula. Anda akan belajar dari beberapa karyawan Google yang menggunakan keterampilan analisis data mereka sebagai landasan berkarier. Hanya membutuhkan waktu kurang dari 10 jam per minggu,untuk memperoleh sertifikat dalam waktu kurang dari 6 bulan. Anda akan mempersiapkan diri untuk berbagai pekerjaan seperti analis data junior, administrator database , dan banyak lagi. Setelah menyelesaikan program sertifikasi ini, Anda dapat langsung melamar pekerjaan di Google dan mitra konsorium Google dari berbagai industri. 82% lulusan Sertifikasi Karier Google melaporkan hasil yang positif seperti pekerjaan baru, promosi, atau kenaikan gaji dalam waktu 6 bulan.* Lihat semua program Sertifikasi Karier Google from blue. *Survei Hasil Peserta Pelatihan, program Sertifikasi IT Support Google. Data dikumpulkan melalui survei di platform Coursera atau email, mulai dari Januari 2018 - Januari 2021. Applied learning project Program ini berisi lebih dari 180 jam pengajaran dan ratusan penilaian berbasis praktik, untuk membantu Anda menjalani skenario analitik data di tempat kerja. Kontennya sangat interaktif dan dikembangkan secara eksklusif oleh para karyawan Google yang berpengalaman. Melalui kombinasi video, penilaian, dan praktik pengerjaan lab, Anda akan mengenal alat dan platform analisis serta keterampilan analitis utama yang diperlukan di pekerjaan tingkat pemula. Keterampilan yang akan Anda peroleh meliputi: Pembersihan data, pemecahan masalah, cara berpikir kritis, etika data, dan visualisasi data Platform dan alat yang akan Anda pelajari meliputi: Aplikasi Presentasi Spreadsheet , SQL, Tableau, dan Pemrograman R Selain pelatihan dan pengerjaan proyek secara langsung, Anda dapat menyelesaikan studi kasus untuk dipresentasikan ke perusahaan perekrut sebagai set keterampilan yang dikuasai. Pelajari keterampilan konkret yang saat ini dibutuhkan oleh berbagai perusahaan papan atas

This engaging course is designed to help you achieve the success you desire. Drawing on decades of scientific research, you'll learn what the most successful people do differently than others, why IQ isn't the greatest predictor of success (and can sometimes backfire), and why many common beliefs hold people back from achieving their goals. While this course is based on the science of success, you will learn many practical ideas that you will be able to immediately apply to your life, especially in three main areas: - Getting better results at work (and school) - Achieving career success (however you define success) - Enjoying a full, happy, and healthy life By the time you complete this course, you will know more than most people about what predicts success in life. One of the most important lessons you will learn is that success is earned day by day through small victories - small, achievable actions that, when combined, can help you reach your goals faster and exceed even your own expectations. So you will have the opportunity to create a detailed action plan that will help you turn what you have learned into concrete steps to achieve your deepest life goals.

In this course, you’ll learn about the fundamentals of trading, including the concept of trend, returns, stop-loss, and volatility. You will learn how to identify the profit source and structure of basic quantitative trading strategies. This course will help you gauge how well the model generalizes its learning, explain the differences between regression and forecasting, and identify the steps needed to create development and implementation backtesters. By the end of the course, you will be able to use Google Cloud Platform to build basic machine learning models in Jupyter Notebooks. To be successful in this course, you should have advanced competency in Python programming and familiarity with pertinent libraries for machine learning, such as Scikit-Learn, StatsModels, and Pandas. Experience with SQL is recommended. You should have a background in statistics (expected values and standard deviation, Gaussian distributions, higher moments, probability, linear regressions) and foundational knowledge of financial markets (equities, bonds, derivatives, market structure, hedging).

In the rapidly evolving world of graphic design, the integration of Artificial Intelligence (AI) has been a game changer. Our course, 'AI-Based Graphic Design: Mastering Figma and Emerging Technologies', is meticulously designed to navigate this new terrain. Spanning eight comprehensive sections, this course offers an in-depth exploration of AI's influence on graphic design, focusing on advanced software such as DALL-E and MidJourney, as well as the robust capabilities of Figma. Section 1 lays the foundation, delving into the history and current trends of AI in graphic design. It predicts the future role of AI, setting the stage for practical applications. In Section 2, students will gain hands-on experience with AI design tools, including a detailed analysis of DALL-E and MidJourney, and mastering Figma’s advanced features. This section emphasizes the seamless integration of AI into design workflows. Sections 3 and 4 focus on specific design tasks: creating AI-enhanced landing pages and crafting memorable logos using AI and Figma. These sections blend theoretical understanding with practical skills, ensuring students can effectively apply AI recommendations in their designs. In Section 5, the focus shifts to designing PowerPoint imagery, leveraging AI tools for enhanced presentation design. Following this, Section 6 introduces advanced design techniques where Figma meets AI, including animation and predictive design. Section 7 is crucial, addressing the ethical dimensions and best practices in AI design. This includes understanding AI biases and navigating the intellectual property challenges posed by AI-generated designs. The course culminates in a final project (Section 8), where students merge their AI and Figma skills to create a comprehensive branding page, followed by peer reviews and reflections. This course is not just about learning tools; it's about embracing a new design ethos where AI and human creativity coalesce to redefine the graphic design landscape. Whether you're a seasoned designer or a newcomer, this course equips you with the knowledge and skills to thrive in the AI-augmented world of graphic design.

Have you ever wondered what can be done with AI these days, and how AI can be used to Innovate in the future? Do you want to understand more about how AI technologies work and can be put together to create Innovation in various industries? This course presents you with exactly that - you get 10 innovative use cases of the future, that can be implemented with existing technology. Among this, you get: - an AI Retail Experience Use Case, - the AI Connected Grand Hotel Use Case - the Library of Clothes AI system - an AI enhanced Linkedin of the future, - an EdTech AI app, - the Furniture Flow Finder, and others. In each case, understand what new experiences can be created with AI for the customers in those industries. Then understand the AI technologies required to put together that experience. This will give you a fun way to learn about existing AI technologies with innovative futuristic examples. This course will enable you to start thinking about your own future innovative AI products or services that you might want to bring to your company or stakeholders you are serving. Whether you're a business leader, tech enthusiast, or aspiring innovator, this course will inspire and guide you to harness the full potential of AI to drive meaningful change and success in your professional endeavors.