https://www.udemy.com/course/spring-ai-beginner-to-guru

Build a third person character controller in Godot to allow a player to control a 3D character and camera in a 3D level.

Learn to build engaging websites, components and interfaces for real world applications.

https://www.udemy.com/course/data-science-projects-101-build-your-data-science-portfolio/

https://www.coursera.org/specializations/advanced-statistics-data-science

Fundamental concepts in probability, statistics and linear models are primary building blocks for data science work.  Learners aspiring to become biostatisticians and data scientists will benefit from the foundational knowledge being offered in this specialization.  It will enable the learner to understand the behind-the-scenes mechanism of key modeling tools in data science, like least squares and linear regression.    This specialization starts with Mathematical Statistics bootcamps, specifically concepts and methods used in biostatistics applications.  These range from probability, distribution, and likelihood concepts to hypothesis testing and case-control sampling.  This specialization also linear models for data science, starting from understanding least squares from a linear algebraic and mathematical perspective, to statistical linear models, including multivariate regression using the R programming language.  These courses will give learners a firm foundation in the linear algebraic treatment of regression modeling, which will greatly augment applied data scientists' general understanding of regression models.

Learn Python GUI programming using guizero library

Discover the World of Large Language Models with Open Source Models like LLama3 and ChatGPT

MongoDB is a NoSQL document database with an expressive and intuitive query language. While MongoDB is easy to get started with, there is more to using MongoDB than storing and retrieving JSON documents. In this course, Naomi Pentrel teaches MongoDB essentials, covering CRUD operations, aggregation pipelines, and drivers as well as advanced database features and database administration topics. If you’re looking for the knowledge to run MongoDB effectively in production, how to perform advanced queries, and how to administer databases, join Naomi in this course.

Continue your coding journey as you dive deeper into the foundational concepts, practices, and terminology of programming. In this installment of the Programming Foundations series, instructor Sasha Vodnik goes beyond the basics, using Python to tackle a variety of intermediate and advanced concepts and skills you can add to your programming repertoire.

You've built an application around React, using it and other libraries to create a smooth and attractive application. Everything works—but does it work securely? Applications that look great and perform well can still be at risk of attack. This course provides clear, focused steps you can take to reinforce your React applications and authentication methods to defend against common threats. First, instructor Emmanuel Henri explains how common attacks work and gets you started setting up solutions that can protect your applications. Next, he shows how to improve the security of your authentication methods using Auth0, followed by how to secure your API endpoint by leveraging other features from Auth0. By the end of this course, you'll be equipped with the best practices you need to safeguard your files, code, data, routes, servers, and users.

Project requirements are how project managers determine what the business needs and align the project’s goals. Requirements also form the basis for defining a project’s scope, assigning resources, and performing acceptance testing. In this course, Daniel Stanton, PMP, introduces an easy 10-step process to manage the requirements for any project. Find out how to determine applicable standards, identify your stakeholders, gather and analyze requirements, prioritize them, and document your findings. Daniel also explains how to solicit approval for project requirements and manage ongoing change requests.

All good software starts with a great design. Object-oriented design helps developers plan applications before they write a single line of code, and break down ideas into reusable and maintainable components. This course focuses on the foundational concepts, teaching them in a fun, interactive way to help you quickly develop your skills. Tag team Olivia and Barron Stone introduce you to the concepts and terms—objects, classes, abstraction, inheritance, and more—that you need to get started. They then show how to take the requirements for an app, identify use cases, and map out classes using Universal Modeling Language (UML). The final design can then be translated into code using one of the many popular object-oriented programming languages, such as Java, C#, Ruby, or Python.

javascript scope determines how variables can be accessed throughout your code. There are two scopes: global and local. Global variables are accessible from anywhere; local variables are accessible only from within the function or block the variables are declared. Scope can be confusing, especially when factors such as hoisting and closures enter the mix. This course provides a thorough introduction to the scope options for javascript variables, alongside challenges that help you practice what you've learned. LinkedIn Learning instructor Emmanuel Henri helps you properly scope your variables, mitigate the effects of hoisting, and declare local variables inside non-function code such as if statements using block scope.

Are you looking for a practical way to use machine learning to solve complex real-world problems? Logistic regression is an approach to supervised machine learning that models selected values to predict possible outcomes. In this course, Notre Dame professor Frederick Nwanganga provides you with a step-by-step guide on how to build a logistic regression model using Python. Learn hands-on tips for collecting, exploring, and transforming your data before you even get started. By the end of this course, you’ll have the technical skills to know when and how to design, build, evaluate, and effectively manage a logistic regression model all on your own.This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace. Check out the “Using GitHub Codespaces with this course” video to learn how to get started.

Knowing how to use Microsoft ML.NET is one of the most in-demand skills in today’s job market. If you’re looking to boost your know-how with machine learning, ML.NET is a must-have in your toolbox. In this course, senior software engineer and Microsoft MVP Sam Nasr provides a comprehensive overview of some of the advanced features of ML.NET, including how to use the command line interface, gather metrics, and evaluate and improve model accuracy and performance. Get started with an introduction to automated machine learning (AutoML) before learning how to automate model training with the ML.NET command-line interface. Along the way, Sam shows you how to evaluate an ML.NET model with metrics and improve model accuracy with cross-validation, hyperparameter tuning, pipeline value inspection, and more.

Building Modern Web Applications: A Practical Journey through ASP.NET MVC

Domestika - Programming for WordPress: Design a Website

https://www.udemy.com/course/master-react/

https://www.udemy.com/course/object-oriented-programming-oop-in-c20/

Mastering React in Monorepo: Leveraging MobX, Axios, Fluent UI, CyPress, Vite, Vitest

https://training.talkpython.fm/courses/python-type-hint-course-with-hands-on-examples

https://www.udemy.com/course/build-a-stack-overflow-clone-with-react-and-laravel-11/

https://www.udemy.com/course/data-analysis-masterclass-a-z-data-analysis-in-python/