In this 1-hour long project-based course, you will learn how to create your Python web application & launch it on your own server using AWS Elastic Beanstalk technology. You will be using the Flask python framework to create your web application & AWS desktop management console to deploy the web application to the AWS servers. Additionally, you will learn more about reading the server logs, how to switch between different versions of your web application & also, monitoring your AWS servers using Elastic Beanstalk Desktop Management Console. Note: To avoid distraction for set up during the course, we would recommend that you create an Amazon AWS account beforehand. Amazon AWS provides a free tier option for 1 year & the course materials will utilize services that fall under the free tier option.

This project provides a step-by-step approach in instruction and will equip you with fundamental concepts of creating arrays and array lists in Java programming, from the ground up. Using jGRASP development environment, you will create a Java project that records and processes students’ data. The data includes name, mode of study, and marks. Using this data, you will output the student details, compute the total marks per student, determine the average mark, and the highest mark for the class. You will also be introduced to basic concepts in using array lists. By the end of this project, you will be able to write a Java program using one-dimensional arrays, two-dimensional arrays, one-dimensional array lists, and two-dimensional array lists. If this is the first time you are learning about arrays and array lists you will benefit from writing a program from a blank sheet to a fully functioning program. If you already have programming experience, this is an opportunity to refresh your skills in array data structures. No matter your level, you will be able to apply the skills obtained from this course in real-life programming exercises. To provide you with support outside the course, you will find a pool of additional notes and exercises that you can try at home. If you ever wanted to build on the fundamental skills in Java that you already possess and become better at using arrays, this project is the right place to start!

By the end of of this project you will create a guessing game application that pits the computer against the user. You will create variables, static methods, decision constructs, and loops in C# to create the game. Traditionally, C# and other Microsoft languages have been limited to the PC with Visual Studio as the IDE. Dot Net has been open-sourced and is now available on Linux. The Visual Studio Code IDE also has been fitted with a Language Extension plugin for C# as well for a pleasant developer experience on Linux. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Predictive models attempt at forecasting future value based on historical data. In this hands-on project, we will analyze the transmission of Covid-19 virus across the globe and train a time-series model (fbprophet) to get the projection of corona virus-related cases in the United States.

By the end of this project, you will create a C# application using MongoDB to access Employee data perform CRUD operations on the MongoDB database. Many Applications use a MongoDB database on the backend, and nearly every programming language has a driver for it. Since MongoDB is a No-SQL database, it works quite well for storing C# objects. Conversely, reading MongoDB documents into C# objects is quite seamless, especially when compared to reading Relational database data into objects. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Code and run your first Java program in minutes without installing anything! This course is designed for learners with limited coding experience, providing a solid foundation of not just Java, but core Computer Science topics that can be transferred to other languages. The modules in this course cover functions, recursion, objects, and mutability. Completion of the prior 2 courses in this specialization are recommended. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You'll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to small, approachable coding exercises that take minutes instead of hours.

By the end of this project, you will have used Visual Studio to explore the use of variables and data types in a VB.NET desktop application. You will write VB.NET code to create and populate variables using a variety of data types. Because most programs process data, working with variables and data types are fundamental skills required in application development. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Programming is an increasingly important skill, whether you aspire to a career in software development, or in other fields. This course is the first in the specialization Introduction to Programming in C, but its lessons extend to any language you might want to learn. This is because programming is fundamentally about figuring out how to solve a class of problems and writing the algorithm, a clear set of steps to solve any problem in its class. This course will introduce you to a powerful problem-solving process—the Seven Steps—which you can use to solve any programming problem. In this course, you will learn how to develop an algorithm, then progress to reading code and understanding how programming concepts relate to algorithms.

In this hands-on project, we will train a deep learning model to predict the type of food and then fine tune the model to improve its performance. This project could be practically applied in food industry to detect the type and quality of food. In this 2-hours long project-based course, you will be able to: - Understand the theory and intuition behind Convolutional Neural Networks (CNNs). - Understand the theory and intuition behind transfer learning. - Import Key libraries, dataset and visualize images. - Perform data augmentation. - Build a Deep Learning Model using Pre-Trained InceptionResnetV2. - Compile and fit Deep Learning model to training data. - Assess the performance of trained CNN and ensure its generalization using various KPIs.

Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. This second course teaches you how to run your machine learning models in mobile applications. You’ll learn how to prepare models for a lower-powered, battery-operated devices, then execute models on both Android and iOS platforms. Finally, you’ll explore how to deploy on embedded systems using TensorFlow on Raspberry Pi and microcontrollers. This Specialization builds upon our TensorFlow in Practice Specialization. If you are new to TensorFlow, we recommend that you take the TensorFlow in Practice Specialization first. To develop a deeper, foundational understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.