AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take.

In this course, you will learn:

- The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science

- What AI realistically can--and cannot--do

- How to spot opportunities to apply AI to problems in your own organization

- What it feels like to build machine learning and data science projects

- How to work with an AI team and build an AI strategy in your company

- How to navigate ethical and societal discussions surrounding AI

Though this course is largely non-technical, engineers can also take this course to learn the business aspects of AI.

Google Cloud Professional Cloud Architect certification was ranked #2 on Global Knowledge's list of 15 top-paying certifications in 2021! Enroll now! to prepare!

This program provides the skills you need to advance your career in cloud architecture and provides a pathway to earn the industry-recognized Google Cloud Professional Cloud Architect certification. You'll deploy solution elements, including infrastructure components such as networks, systems, and applications services, and you'll gain real-world experience through hands-on Qwiklabs projects that you can share with potential employers.

You'll also have the opportunity to practice key job skills, including case analysis, identifying technical watchpoints, and developing proposed solutions. Test your basic abilities with Activity Tracking Challenge Labs. For learners looking to get certified, this program will provide sample questions similar to those on the exam, including solutions and practice exam quizzes that simulate the exam-taking experience.

Upon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers. If you'd like to earn your Google Cloud certification, you will need to register for and pass the certification exam. Please note that this program helps equip you with the skills you need to take the certification exam, but the certification and certification fee is not included in the cost of this training program.

This professional certificate incorporates hands-on labs using our Qwiklabs platform.

These hands-on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as Google Cloud Platform products, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules.

WHAT YOU WILL LEARN

- Learn the skills needed to be successful in a cloud architect role

- Learn about the infrastructure and platform services provided by Google Cloud Platform

- Prepare for the Professional Cloud Architect certification

- Identify the purpose and value of Google Cloud products and services.

This Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services. Once you complete the courses, you will have the opportunity to apply the skills on a real-life capstone project setup in partnership with Grainger. They are a global B2B supplier of Maintenance Repair and Organization supplies, ranked No. 13 in the Internet Retailer 2015 Top 500 Guide.

For a lot of higher level courses in Machine Learning and Data Science, you find you need to freshen up on the basics in mathematics - stuff you may have studied before in school or university, but which was taught in another context, or not very intuitively, such that you struggle to relate it to how it’s used in Computer Science. This specialization aims to bridge that gap, getting you up to speed in the underlying mathematics, building an intuitive understanding, and relating it to Machine Learning and Data Science.

In the first course on Linear Algebra we look at what linear algebra is and how it relates to data. Then we look through what vectors and matrices are and how to work with them.

The second course, Multivariate Calculus, builds on this to look at how to optimize fitting functions to get good fits to data. It starts from introductory calculus and then uses the matrices and vectors from the first course to look at data fitting.

The third course, Dimensionality Reduction with Principal Component Analysis, uses the mathematics from the first two courses to compress high-dimensional data. This course is of intermediate difficulty and will require Python and numpy knowledge.

At the end of this specialization you will have gained the prerequisite mathematical knowledge to continue your journey and take more advanced courses in machine learning. Through the assignments of this specialisation you will use the skills you have learned to produce mini-projects with Python on interactive notebooks, an easy to learn tool which will help you apply the knowledge to real world problems. For example, using linear algebra in order to calculate the page rank of a small simulated internet, applying multivariate calculus in order to train your ow

This specialization provides an introduction to corporate finance and accounting, emphasizing their application to a wide variety of real-world situations spanning personal finance, corporate decision-making, financial intermediation, and how accounting standards and managerial incentives affect the financial reporting process.

It begins with concepts and applications like time value of money, risk-return tradeoff, retirement savings, mortgage financing, auto leasing, asset valuation, and many others. The specialization uses Excel to make the experience more hands-on and help learners understand the concepts more directly. From valuing claims and making financing decisions, to elements of a basic financial model, the coursework provides a solid foundation for corporate finance.

The specialization then moves to financial accounting, enabling learners to read financial statements and understand the language and grammar of accounting. The coursework introduces bookkeeping fundamentals, accrual accounting, and cash flow analysis, among many else! Finally, using the foundational knowledge of accounting, the specialization teaches learners how to understand and analyze key information that companies provide in their statements, including types of assets and liabilities and longer-term investments and debts, and finally the difference between tax reporting and financial reporting.

This specialization uses a series of homework, quizzes, and an optional Excel spreadsheet to help learners gain a more comprehensive understanding of essential concepts of corporate finance and accounting. The coursework introduces bookkeeping fundamentals, accrual accounting, cash flow analysis, and more! From valuing claims and making financing decisions, to elements of a basic financial model, the coursework provides a solid foundation for corporate finance.

WHAT YOU WILL LEARN

- Discounting and compounding arbitrary cash flow streams in order to value different claims and make better financial decisions.

- Classification of cash flows into operating, investing, and financing activities

- Difference between NPV and Internal Rate of Return (IRR)

- How companies account for investments in debt and equity securities

This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.

You will have lots of opportunities to practice. You will also learn ways to reason about program execution so that it is no longer mysterious and you are able to debug programs when they don’t work.

By the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.

This specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice so that you can proceed with confidence to specializations like Applied Data Science with Python.

But it is also appropriate as the first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.

By the end of the second course, you will create a simple sentiment analyzer that counts the number of positive and negative words in tweets. In the third course, you will mash up two APIs to create a movie recommender. The final course, Python Project: pillow, tesseract, and OpenCV (Course 5), is an extended project in which you'll perform optical character recognition (OCR) and object detection in images.

WHAT YOU WILL LEARN

- How to inspect and understand APIs and third-party libraries to be used with Python 3

- How to apply the python tesseract (py-tesseract) library with Python 3 in order to detect text in images through optical character recognition (OCR)

- How to apply the Python imaging library (pillow) to open, view, and manipulate images, including cropping, resizing, recoloring, and overlaying text

- How to apply the open-source computer vision library (OpenCV) to detect faces in images, & how to crop and manipulate these faces into contact sheets

Algorithms are the heart of computer science, and the subject has countless practical applications as well as intellectual depth. This specialization is an introduction to algorithms for learners with at least a little programming experience. The specialization is rigorous but emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details. After completing this specialization, you will be well-positioned to ace your technical interviews and speak fluently about algorithms with other programmers and computer scientists.

About the instructor: Tim Roughgarden has been a professor in the Computer Science Department at Stanford University since 2004. He has taught and published extensively on the subject of algorithms and their applications.

Learners will practice and master the fundamentals of algorithms through several types of assessments. Every week, there is a multiple-choice quiz to test your understanding of the most important concepts. There are also weekly programming assignments, where you implement one of the algorithms covered in the lecture in a programming language of your choosing. Each course concludes with a multiple-choice final exam.

This Professional Certificate will equip you with all the key skills and technical know-how to kickstart your career as a Full-Stack Cloud Native Application Developer. Guided by experts at IBM, you will learn to build your own cloud-based applications and practice working with the technologies behind them. This program consists of 10 courses with ample instructional content as well as hands-on exercises and projects designed to hone your skills and help you build your portfolio.

No prior programming experience or Cloud background is required to start this program. You'll skill up with the tools and technologies that successful software developers use to build, deploy, test, run, and manage Full Stack Cloud Native applications, giving you the practical skills to begin a new career in a highly in-demand area.

The courses in this program will help you develop skill sets in a variety of technologies including: Cloud foundations, HTML, CSS, JavaScript, GitHub, Node.js, React, Cloud Native practices, DevOps, CI/CD, Containers, Docker, Kubernetes, OpenShift, Istio, Python programming, Databases, SQL, NoSQL, Django ORM, Bootstrap, Application Security, Microservices, Serverless computing, and more.

After completing all the courses in the program, including the capstone project, you will have developed several applications using front-end and back-end technologies and deployed them on a cloud platform using Cloud Native methodologies.

WHAT YOU WILL LEARN

- Develop with front-end development languages and tools such as HTML, CSS, JavaScript, React and Bootstrap.

- Deploy and scale applications using Cloud Native methodologies and tools like Containers, Kubernetes, Microservices and Serverless Functions.

- Program applications using back-end languages and frameworks like Express, Node.js, Python, Django, etc.

- Build your GitHub portfolio by applying your Full Stack Cloud Development skills with multiple labs and hands-on projects, including a capstone.

Throughout the 10 courses in the Professional Certificate you will develop a portfolio of hands-on projects involving various popular technologies and programming languages in Full Stack Cloud Application Development.

These include publishing HTML pages on Cloud Object Storage; creating an interest rate calculator using HTML, CSS, & JavaScript, an AI program deployed on Cloud Foundry using DevOps principles & CI/CD toolchains with a NoSQL database, a Node.js and React application, a containerized guestbook app packaged with Docker deployed with Kubernetes & managed with OpenShift, a Python app bundled as a package, a RDBMS powered application using Django ORM and Bootstrap, and an app built using Microservices & Serverless; and completing a Capstone Project that leverages several technologies into a single scalable Cloud Native Full Stack application.

You will publish these projects through your GitHub repository to share your skills with your peers and prospective employers.

Graphic design is all around us, in a myriad of forms, both on screen and in print, yet it is always made up of images and words to create a communication goal. This four-course sequence exposes students to the fundamental skills required to make sophisticated graphic design: process, historical context, and communication through image-making and typography. The sequence is completed by a capstone project that applies the skills of each course and peer feedback in a finished branding project suitable for a professional portfolio.

The goal of this specialization is to equip learners with a set of transferable formal and conceptual tools for “making and communicating” in the field of graphic design. This core skill set will equip learners for formal studies in graphic design, and a starting point for further work in interface design, motion graphics, and editorial design.

WHAT YOU WILL LEARN

- Gain the fundamental skills needed to be a graphic designer

- Complete a capstone project to add to your professional portfolio

- Communicate through image-making and typography

- Learn everything you need to know to work in interface design, motion graphics, and editorial design

This Specialization will introduce you to the art of our time. Through original films and audio, you will go behind the scenes to look closely at artworks and into studios to hear directly from artists, designers, curators and others. This Specialization is for anyone who would like to learn more about modern and contemporary art. No prior knowledge is required. Enroll to receive invitations to virtual events, gain exclusive access to MoMA resources, and share ideas with an international learner community.

Start with Modern Art & Ideas to learn how artists have taken inspiration from their environment and responded to social issues over the past 150 years. Next, take a deep dive into Seeing Through Photographs, exploring photography from its origins in the mid-1800s through the present. This course addresses the gap between seeing and truly understanding photographs by introducing ideas, approaches and technologies that inform their making.

Explore artworks made since 1980 in What Is Contemporary Art? Ranging from 3-D–printed glass and fiber sculptures to performances in a factory, the works in this course introduce you to the diverse materials, motivations and methods of artists working today. Complete the Specialization with Fashion as Design, and investigate the choices you make about fashion in relation to expression, sustainability, labor practices, identity and more. Learn from makers working with clothing every day—and, in some cases, reinventing it for the future.

Through original films and audio, you will go behind the scenes to look closely at artworks and into studios to hear directly from artists, designers, curators, and others. Enroll to receive invitations to virtual events, gain exclusive access to MoMA resources, and share ideas with an international learner community.

WHAT YOU WILL LEARN

- Develop a deeper understanding of artists’ and designers’ processes, including modes of experimentation and responses to technological innovation.

- Gain confidence in looking at and talking about modern and contemporary art and design, and find inspiration from art all around you.

- Develop critical thinking and looking skills to understand how artists and designers respond to the social and cultural issues of their time.

- Better comprehend the choices you make about fashion with respect to expression, identity, and issues such as labor practices and sustainability.