📦 #004 - Coding Courses from Google, Microsoft and Meta
Explore valuable learning resources from top tech companies.
Hi, this is Madza! 👋
Welcome to The Fourth issue of The Developer Toolbox!
Navigating the vast sea of online courses can be overwhelming, so I've curated some of the best courses from leading tech companies.
Whether you're a beginner looking to kickstart your coding journey or an experienced programmer aiming to enhance your skills, these courses cover a range of topics from learning to code to mastering AI and ML technologies.
To make it easier to navigate, I divided everything into categories, gave descriptions, and included direct links.
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Courses on Machine learning, AI and Cybersecurity.
Understand the Basics of Code - Get an introduction to code, find out how it works, what it can do, and how it can benefit you.
Understand the Basics of Machine learning - Explore what these technologies are and how they can be applied in real life to help businesses grow.
Machine Learning Crash Course - While learning new concepts, immediately put them into practice with coding exercises that walk you through implementing models in TensorFlow, an open-source machine intelligence library.
Perform Foundational Data, ML, and AI Tasks in Google Cloud - Complete this quest, including the challenge lab at the end, to receive an exclusive Google Cloud digital badge.
Introduction to Generative AI - The course is aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods.
Crash Course on Python - This course is designed to teach you the foundations in order to write simple programs in Python using the most common structures.
Foundations of Cybersecurity - You will be introduced to the world of cybersecurity through an interactive curriculum developed by Google.
Google Cloud Database Course - learn how to plan, execute, test, and monitor enterprise database migrations to Google Cloud.
Foundations of Digital Marketing and E-commerce - In this course you will understand the elements and goals of a digital marketing and e-commerce strategy.
🪟 Microsoft
Courses on Data science, Machine learning, AI, and Azure.
Data Science for Beginners - A 10-week, 20-lesson curriculum all about Data Science. Each lesson includes pre-lesson and post-lesson quizzes, written instructions to complete the lesson, a solution, and an assignment.
Machine Learning for Beginners - A 12-week, 26-lesson curriculum all about Machine Learning. In this curriculum, you will learn about what is sometimes called classic machine learning, using primarily Scikit-learn as a library.
Artificial Intelligence for Beginners - A 12-week, 24-lesson curriculum all about Artificial Intelligence.
Configure and manage virtual networks for Azure administrators - Learn how to configure and manage Azure network capabilities like connectivity services, application protection, application delivery, and network monitoring services.
Create serverless applications - Learn how to leverage functions to execute server-side logic and build serverless architectures.
Microsoft Power Platform Fundamentals - Learn the business value and product capabilities of Microsoft Power Platform. Create simple Power Apps, connect data with Microsoft Dataverse, build a Power BI Dashboard, automate a process with Power Automate, and build a chatbot with Power Virtual Agents.
Develop solutions that use Azure Cosmos DB - Learn how to create Azure Cosmos DB resources with the appropriate consistency levels, choose and create a partition key, and perform data operations by using the .NET SDK V3 for Azure Cosmos DB.
Create and use analytics reports with Power BI - This course introduces you to Power BI and teaches you to use and build business intelligence reports.
Microsoft Azure AI Fundamentals: Explore visual tools for machine learning - Learn how to use Azure Machine Learning to create and publish models without writing code.
Microsoft Azure Data Fundamentals: Explore data analytics in Azure - Learn multiple services of Azure that you can combine to build large-scale analytics solutions that leverage the latest technologies and techniques for data ingestion, storage, modeling, and visualization.
Azure SQL fundamentals - Learn how to translate your existing SQL Server expertise to Azure SQL, including Azure SQL Database and Azure SQL managed instance.
Microsoft Azure Data Fundamentals: Explore non-relational data in Azure - You will learn how non-relational data is used as a common way for applications to store and query data without the overhead of a relational schema.
Migrate data and go live with finance and operations apps - You will learn how to prepare your customer's data for migration, work with data management, and perform user acceptance testing to go live with finance and operations apps.
Deploy a website with Azure virtual machines - Learn how to create, configure, and manage virtual machines on Linux and Windows that host web apps.
Implement a Windows Server hybrid cloud infrastructure - You will learn how to address problems relating to the migration of on-premises workloads into Azure.
♾️ Meta
Courses on Fullstack development and Interview preparation.
Introduction to Front-End Development - This course provides a starting point for aspiring web developers, offering insights into the day-to-day responsibilities of a web developer and a general understanding of the core technologies powering the internet.
HTML and CSS in depth - Learn to use HTML and CSS to build attractive and well-functioning web pages. The course emphasizes the use of structured semantic data to control website appearance.
Programming with JavaScript - Explore the basic concepts of web development with JavaScript, covering functions, objects, arrays, variables, data types, HTML DOM, and more.
React Basics - Understand the fundamental concepts underlying the React library and acquire the basic skills necessary to build a simple, fast, and scalable app.
Advanced React - Delve into advanced React concepts and features, gain proficiency in JSX, and learn to confidently test applications. Explore different types of React components and their characteristics.
Version Control - Learn how modern software developers collaborate globally without code conflicts. Explore different version control systems and establish an effective software development workflow.
Introduction to Back-End Development - Gain foundational knowledge in back-end development and develop a deep understanding of server-side technologies through this comprehensive introductory course.
Introduction to Databases for Back-End Development - Receive an introduction to databases, exploring their uses for storing and managing data. Learn to distinguish between different types of database management systems.
The Full Stack - Set up an environment for a local practical project, refactor front and back ends of an existing application, and create a new application using full-stack developer skills.
Coding Interview Preparation - Prepare for coding job interviews, focusing on problem-solving approaches and foundational computer science knowledge. Gain strategic insights and tips for successful interviewing.
Software Development Practices - Explore software development processes and best practices, covering the application lifecycle, infrastructure, testing, Agile/scrum development, project estimation, and tracking.
I really hope these resources provided practical value for you! If so, make sure to connect with me on Twitter and LinkedIn for daily content!
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