55 Computer Engineering courses

Step into the world of data analysis and gain practical experience analyzing real-world datasets with the help of this course. This course will not only guide you in analyzing data efficiently in Python from scratch but also help you in conducting your own analysis with Python and extracting valuable insights that can transform your business!

Are you one of those developers who have heard the buzzword about microservices, but you don't know where to start from? Or are you wondering if a microservices architecture is a right fit for your .NET project? Then this course is for you. Learn all about microservices architecture using .NET Core MVC and protect your project or team from the drawbacks of a monolithic application.

In this self-paced course, you will learn how to use TensorFlow 2 to build convolutional neural networks (CNNs). You will learn how to apply CNNs to several practical image recognition datasets and learn about techniques that help improve performance, such as batch normalization, data augmentation, and transfer learning.

This ARM assembly programming course will help you gain a solid understanding of bare-metal firmware development for ARM-based microcontrollers. You'll learn how to navigate the microcontroller reference manual and datasheet to extract the right information to build peripheral drivers and firmware like a pro. This course does not use any libraries and only applies the ARM assembly language.

In this self-paced course, you will learn how to use TensorFlow 2 to build recurrent neural networks (RNNs). You will learn about sequence data, forecasting, Elman Unit, GRU, and LSTM. You will also learn how to work with image classification and how to get stock return predictions using LSTMs. We will also cover Natural Language Processing (NLP) and learn about text preprocessing and classification.

[vc_row][vc_column][vc_column_text] DESCRIPTION: Want to fast-track your career in computer engineering? After learning the programming basics of C++, it's time to take your coding skills to the next level with this Level 3 diploma in C++ Programming Course. C++ is one of the most useful object-oriented programming languages out there, and is the leading language for video game and web development. This online course is designed for those who have prior programming experience. C++ is an object-oriented (OO) programming language which offers greater reliability and efficiency than older, more structured programming methods. It is a well-established, mainstream language used across a broad range of applications. This course covers key topics such as array indexing, unions, function pointers, standard library strings, building blocks and more. Certify your skills in software engineering, join the community of C++ coders and start learning essential computer programming skills from the comfort of your own home! ASSESSMENT: * At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. * Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. CERTIFICATION: * After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. * Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. WHO IS THIS COURSE FOR? Level 3 Diploma in C++ Programming is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. REQUIREMENTS Our Level 3 Diploma in C++ Programming is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. CAREER PATH After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market.[/vc_column_text][/vc_column][/vc_row] Level 3 Diploma in C++ Programming Classes and Structs FREE 00:22:00 Enums 00:14:00 Unions 00:16:00 Introduction to Pointers 00:11:00 Pointers and Array Indexing 00:12:00 Using Const with Pointers 00:09:00 Pointers to String Literals 00:12:00 References 00:14:00 Smart Pointers 00:22:00 Arrays 00:15:00 Standard Library Strings 00:13:00 More Standard Library Strings 00:18:00 Functions 00:18:00 More Functions 00:16:00 Function Pointers 00:15:00 Control Statements 00:18:00 Mock Exam Mock Exam- Level 3 Diploma in C++ Programming 00:20:00 Final Exam Final Exam- Level 3 Diploma in C++ Programming 00:20:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00

In this self-paced course, you will learn how to use TensorFlow 2 to build deep neural networks. You will learn the basics of machine learning, classification, and regression. We will also discuss the connection between artificial and biological neural networks and how that inspires our thinking in deep learning.

Covering ARM systems design and architecture and practical assembly programming, this is a comprehensive ARM assembly video course to get you up and running. You'll develop the skills necessary for starting your career as an ARM embedded developer, such as developing algorithms and creating state machines in assembly.

Get ready to tackle one of the most exciting and prominent features of the Go language with the help of this comprehensive course. If you are looking forward to getting started with advanced topics such as concurrency and levelling up your Go(lang) skills, then you are in the right place.

If you are someone with a background in Python programming and is interested in presenting your analysis in interactive web-based dashboards, then you are in the right place. This course primarily focuses on Dash, along with other key data science libraries, including Pandas and Plotly. Learn to use Dash and Plotly in Python which can help you to visualize your critical insights and KPIs in web apps that are easily sharable.