If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.

This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort. The course will use SQLite3 as its database. We will also build web crawlers and multi-step data gathering and visualization processes. We will use the D3.js library to do basic data visualization. This course will cover Chapters 14-15 of the book “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-13 of the textbook and the first three courses in this specialization. This course covers Python 3.

Do you wan't to learn how to quickly and easily develop applications but don't know where to start? Kotlin is the perfect first language, and this course will give you strong fundamentals to get you started. Kotlin developers are in high demand, for mobile, desktop and web projects. The knowledge you will gain in this course applies to any modern object oriented language and will give you the freedom to develop on platforms like Android, iOS, Mac, Linux and Windows.

This course gives you the basic foundational principles of DevOps with a particular focus on culture and the DevOps mindset. We’ll learn about how DevOps is grounded in lean principles, and how it can help improve collaboration between developers and operations team members. We'll learn about ideas regarding systems thinking, feedback loops, continuous improvement, loosely coupled architecture and teams, managing risk, and dealing with unplanned work. We’ll learn about strategies to manage work, monitor it, keep it organized, and maintain a high level of quality by following key DevOps principles. We’ll also discuss various organizational models and structures that are used by companies in their DevOps transformations. You’ll learn about value stream mapping, and ensuring continuous workflow. Ultimately, we'll learn key ideas and tactics that you can employ at your own organizations to improve both time-to-market and increase the value delivered for your customers, no matter your product line or industry.

This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Everybody”. This course covers Python 3.

Welcome to Lighting, Reflection, and Post-Processing Effects, the second course in the Unity Certified 3D Artist Specialization from Unity Technologies. The courses in this series will help you prepare for the Unity Certified 3D Artist exam, the professional certification for entry- to mid-level Unity artists. 3D artists are critical to the Unity development pipeline. They are a bridge between the programmers writing the application code and the designers or art directors who define the application’s aesthetics and style. In these courses, you will be challenged to complete realistic art implementation tasks in Unity that are aligned to the topics covered on the exam. In this second course, you will continue work on the Kitchen Configurator application - an app that lets users view a realistic rendering of a kitchen and swap out objects and materials to customize the design. The scene will really start to come to life as you add lighting effects including ambient lighting from a custom skybox, simulated sunlight, interior lights, and realistic reflections. Finally, you’ll use Unity’s Post-Processing Stack to add even more polish to the rendered scene. By the end of the course, you’ll have a scene ready for the next stage: adding interactions through scripts. This is an intermediate course, intended for people who are ready for their first paying roles as Unity 3D artists, or enthusiasts who would like to verify their skills against a professional standard. To succeed, you should have at least 1-2 years of experience implementing 3D art in Unity. You should be proficient at importing assets into Unity from Digital Content Creation (DCC) tools, prototyping scenes, working with lighting, and adding particles and effects. You should also have a basic understanding of 2D asset management, animation, and working with scripts. You should have experience in the full product development lifecycle, and understand multi-platform development, including for XR (AR and VR) platforms.

In this course you will learn about audio signal processing methodologies that are specific for music and of use in real applications. We focus on the spectral processing techniques of relevance for the description and transformation of sounds, developing the basic theoretical and practical knowledge with which to analyze, synthesize, transform and describe audio signals in the context of music applications. The course is based on open software and content. The demonstrations and programming exercises are done using Python under Ubuntu, and the references and materials for the course come from open online repositories. We are also distributing with open licenses the software and materials developed for the course.

Whether you are a software developer, architect, project manager or just someone who codes for fun; knowing what to write is just as hard as knowing how to write it. ' Software requirements gathering ' is the process of capturing the objectives, goals and wishes of the customer upfront and early-on in the Software Development Life Cycle (SDLC). This course is accompanied by several templates and document files, that you can use as a guideline during your next requirements gathering project. There is a feasibility study template, a software specification template, a terminology guide and a couple more. This course will get you ' asking the right questions ' early in the process, saving you time, money and effort. You will learn how to ' manage the requirements process ' from start to finish. How to differentiate between ' Functional and Non-functional requirements '. How to ' capture and record requirements '. Plus, you will get an insight to how one system is used throughout an organization. This course will guide you through the entire range of ' Scoping Documents ', ' Technical Specifications ', ' Feasibility Studies ' and ' Requirements Gathering '. Your time is precious and that matters to me, this course has been arranged into small lectures that you can consume when you have a spare few minutes. They follow-on from each other, making the entire course watchable in one sitting. you can be sure that the project you embark on is the same as the project you deliver. On time and on budget. Capturing Software Requirements, Meeting Deliverables, Exceeding Expectations and Documenting the whole process can take years to learn, this stuff is not taught in colleges, it is learned in the trenches. So save yourself time, get the insider information on the topics that matter. By the end of the course, you will have amassed a large number of key takeaways and several useful template files that together will take your software development skills to the next level. This course is for life, meaning you can learn whenever you have the time. You have access to the discussions area, where I will personally answer any questions you have on this course. This course is also backed by a 30 day money back guarantee. If you need a deeper understanding of the software development life cycle. Are about to begin work on a new software project or embark on a prospective customer collaboration? this course will guide you through the process. I look forwards to seeing you on the inside. Kind Regards, Robin.

This course will show how one can treat the Internet as a source of data. We will scrape, parse, and read web data as well as access data using web APIs. We will work with HTML, XML, and JSON data formats in Python. This course will cover Chapters 11-13 of the textbook “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-10 of the textbook and the first two courses in this specialization. These topics include variables and expressions, conditional execution (loops, branching, and try/except), functions, Python data structures (strings, lists, dictionaries, and tuples), and manipulating files. This course covers Python 3.

Learn to code in Java and improve your programming and problem-solving skills. You will learn to design algorithms as well as develop and debug programs. Using custom open-source classes, you will write programs that access and transform images, websites, and other types of data. At the end of the course you will build a program that determines the popularity of different baby names in the US over time by analyzing comma separated value (CSV) files. After completing this course you will be able to: 1. Edit, compile, and run a Java program; 2. Use conditionals and loops in a Java program; 3. Use Java API documentation in writing programs. 4. Debug a Java program using the scientific method; 5. Write a Java method to solve a specific problem; 6. Develop a set of test cases as part of developing a program; 7. Create a class with multiple methods that work together to solve a problem; and 8. Use divide-and-conquer design techniques for a program that uses multiple methods.