332 Software Engineer courses delivered Online

Python Programming: Beginner To Expert Course Overview The "Python Programming: Beginner to Expert" course provides a comprehensive learning journey from the basics of Python to advanced programming techniques. Designed to equip learners with the skills necessary to become proficient Python developers, this course covers a broad range of essential topics, including data types, operators, functions, error handling, and object-oriented programming (OOP). By the end of the course, learners will gain the expertise needed to develop complex applications and tackle real-world problems using Python. The course is ideal for those looking to deepen their understanding of programming and advance their careers in software development, data science, or automation. Course Description This course delves deeply into Python programming, beginning with the fundamentals and progressing to advanced concepts. Learners will explore core programming techniques, including control flow, functions, and error handling, as well as specialized topics such as object-oriented programming (OOP) and libraries like NumPy and Pandas. The course also covers career development topics, such as how to start a career in Python programming. Students will gain a solid understanding of Python’s capabilities and how to apply them across a variety of programming contexts, from scripting to data analysis and more. With its structured modules and clear guidance, learners will finish the course ready to take on more advanced programming projects and pursue roles in the field. Python Programming: Beginner To Expert Curriculum Module 01: Introduction to Python Programming from A-Z Module 02: Getting Familiar with Python Module 03: Basic Data Types Module 04: Python Operators Module 05: Advanced Data Types Module 06: Control Flow Part 1 Module 07: Control Flow Part 2 Module 08: Python Functions Module 09: User Input and Error Handling Module 10: Python Advanced Functions Module 11: Python Scripting and Libraries Module 12: NumPy Module 13: Pandas Module 14: Introduction to OOP Module 15: Advanced OOP Module 16: Starting a Career in Python (See full curriculum) Who is this course for? Individuals seeking to start a career in Python programming. Professionals aiming to enhance their programming skills for career development. Beginners with an interest in software development, data science, or automation. Those looking to expand their programming knowledge in a structured and progressive way. Career Path Python Developer Software Engineer Data Analyst Data Scientist Automation Specialist Web Developer Backend Developer

PHP for Beginners 2023 Guide: Develop a ECommerce Store Course Overview This course provides a comprehensive introduction to PHP programming through the development of a fully functional eCommerce store. Learners will explore core PHP concepts while building practical features such as product management, user authentication, shopping cart functionality, and payment integration using Stripe. Designed for beginners, the course emphasises clear, step-by-step instruction to equip learners with the skills needed to create dynamic, database-driven web applications. By the end of the course, participants will be confident in setting up a PHP environment, developing user and admin interfaces, and managing eCommerce workflows effectively. This guide is ideal for anyone looking to launch their journey into web development or expand their programming toolkit with essential PHP knowledge relevant to modern online retail solutions. Course Description Delving deeper into PHP fundamentals, this course guides learners through the full lifecycle of building an eCommerce website. It covers everything from installing the necessary tools to implementing secure authentication systems and managing product categories. Participants will learn how to structure their code efficiently, interact with databases, and integrate payment gateways like Stripe to process transactions securely. The curriculum balances foundational theory with project-based learning, ensuring students acquire not only programming syntax but also an understanding of real-world web application workflows. By mastering user-facing and admin panel functionalities, learners develop versatile skills applicable across various web development projects. Throughout the course, the focus remains on building scalable, maintainable code following best practices in PHP development. PHP for Beginners 2023 Guide: Develop a ECommerce Store Curriculum Module 01: Introduction Module 02: Installation Module 03: Getting Started with the Project and Authentication System Module 04: Preparing Products Module 05: Developing Cart and Payment with Stripe Module 06: Categories and Finishing Users Side Module 07: Getting Started with Admin Panel Module 08: Finishing Categories (Admin Side) Module 09: Finishing Products (Admin Side) Module 10: Update: Extra Lectures Module 11: Update - Creating a Wishlist System (See full curriculum) Who Is This Course For? Individuals seeking to learn web development with PHP. Professionals aiming to enhance their programming skills for career growth. Beginners interested in creating eCommerce websites. Anyone wanting to understand backend development and payment integration. Career Path Junior PHP Developer Web Developer (Front and Back End) ECommerce Developer Full Stack Developer Software Engineer in Web Technologies

In this course, we will master the syntax and structure of RSpec then learn to utilize test-driven development principles to design and implement clean test specs and reduce dependencies in the test suite by mocking objects with class and instance doubles. We will also explore the wide collection of RSpec matches available to test the code.

This course offers an immersive experience in data analysis, guiding you from initial setup with Python and Pandas, through series and DataFrame manipulation, to advanced data visualization techniques. Perfect for enhancing your data handling and analysis skills.

With this 2-in-1 course, you will get access to AWS Technical Essentials and AWS Certified Solutions Architect - Associate certification exam content.

Level 5 QLS Endorsed Diploma | 150 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

This course will walk you through a whole real-world scenario for developing and deploying an ecommerce website with Blazor, and we will tackle numerous obstacles along the way. You will learn how to create a .NET 6 API from scratch and deploy .NET API, Blazor WASM, and Server to Azure in this course.

Learn how to build real-world applications using Spring Framework 5 and Spring Boot 2

Automate your Excel workflow, accelerate your productivity, and master the fundamentals of programming with VBA!

Duration 4 Days 24 CPD hours This course is intended for Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and generative AI solutions on Azure. AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage?Azure AI Services,?Azure AI Search, and?Azure OpenAI. The course will use C# or Python as the programming language. Prerequisites Before attending this course, students must have: Knowledge of Microsoft Azure and ability to navigate the Azure portal Knowledge of either C# or Python Familiarity with JSON and REST programming semantics Recommended course prerequisites AI-900T00: Microsoft Azure AI Fundamentals course 1 - Prepare to develop AI solutions on Azure Define artificial intelligence Understand AI-related terms Understand considerations for AI Engineers Understand considerations for responsible AI Understand capabilities of Azure Machine Learning Understand capabilities of Azure AI Services Understand capabilities of the Azure Bot Service Understand capabilities of Azure Cognitive Search 2 - Create and consume Azure AI services Provision an Azure AI services resource Identify endpoints and keys Use a REST API Use an SDK 3 - Secure Azure AI services Consider authentication Implement network security 4 - Monitor Azure AI services Monitor cost Create alerts View metrics Manage diagnostic logging 5 - Deploy Azure AI services in containers Understand containers Use Azure AI services containers 6 - Analyze images Provision an Azure AI Vision resource Analyze an image Generate a smart-cropped thumbnail 7 - Classify images Provision Azure resources for Azure AI Custom Vision Understand image classification Train an image classifier 8 - Detect, analyze, and recognize faces Identify options for face detection analysis and identification Understand considerations for face analysis Detect faces with the Azure AI Vision service Understand capabilities of the face service Compare and match detected faces Implement facial recognition 9 - Read Text in images and documents with the Azure AI Vision Service Explore Azure AI Vision options for reading text Use the Read API 10 - Analyze video Understand Azure Video Indexer capabilities Extract custom insights Use Video Analyzer widgets and APIs 11 - Analyze text with Azure AI Language Provision an Azure AI Language resource Detect language Extract key phrases Analyze sentiment Extract entities Extract linked entities 12 - Build a question answering solution Understand question answering Compare question answering to Azure AI Language understanding Create a knowledge base Implement multi-turn conversation Test and publish a knowledge base Use a knowledge base Improve question answering performance 13 - Build a conversational language understanding model Understand prebuilt capabilities of the Azure AI Language service Understand resources for building a conversational language understanding model Define intents, utterances, and entities Use patterns to differentiate similar utterances Use pre-built entity components Train, test, publish, and review a conversational language understanding model 14 - Create a custom text classification solution Understand types of classification projects Understand how to build text classification projects 15 - Create a custom named entity extraction solution Understand custom named entity recognition Label your data Train and evaluate your model 16 - Translate text with Azure AI Translator service Provision an Azure AI Translator resource Specify translation options Define custom translations 17 - Create speech-enabled apps with Azure AI services Provision an Azure resource for speech Use the Azure AI Speech to Text API Use the text to speech API Configure audio format and voices Use Speech Synthesis Markup Language 18 - Translate speech with the Azure AI Speech service Provision an Azure resource for speech translation Translate speech to text Synthesize translations 19 - Create an Azure AI Search solution Manage capacity Understand search components Understand the indexing process Search an index Apply filtering and sorting Enhance the index 20 - Create a custom skill for Azure AI Search Create a custom skill Add a custom skill to a skillset 21 - Create a knowledge store with Azure AI Search Define projections Define a knowledge store 22 - Plan an Azure AI Document Intelligence solution Understand AI Document Intelligence Plan Azure AI Document Intelligence resources Choose a model type 23 - Use prebuilt Azure AI Document Intelligence models Understand prebuilt models Use the General Document, Read, and Layout models Use financial, ID, and tax models 24 - Extract data from forms with Azure Document Intelligence What is Azure Document Intelligence? Get started with Azure Document Intelligence Train custom models Use Azure Document Intelligence models Use the Azure Document Intelligence Studio 25 - Get started with Azure OpenAI Service Access Azure OpenAI Service Use Azure OpenAI Studio Explore types of generative AI models Deploy generative AI models Use prompts to get completions from models Test models in Azure OpenAI Studio's playgrounds 26 - Build natural language solutions with Azure OpenAI Service Integrate Azure OpenAI into your app Use Azure OpenAI REST API Use Azure OpenAI SDK 27 - Apply prompt engineering with Azure OpenAI Service Understand prompt engineering Write more effective prompts Provide context to improve accuracy 28 - Generate code with Azure OpenAI Service Construct code from natural language Complete code and assist the development process Fix bugs and improve your code 29 - Generate images with Azure OpenAI Service What is DALL-E? Explore DALL-E in Azure OpenAI Studio Use the Azure OpenAI REST API to consume DALL-E models 30 - Use your own data with Azure OpenAI Service Understand how to use your own data Add your own data source Chat with your model using your own data 31 - Fundamentals of Responsible Generative AI Plan a responsible generative AI solution Identify potential harms Measure potential harms Mitigate potential harms Operate a responsible generative AI solution