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Java Programming Masterclass updated to Java 17

Learn Java In This Course And Become a Computer Programmer. Obtain valuable Core Java Skills And Java Certification

Created by Tim Buchalka’s Learn Programming Academy | 80 hours on-demand video course

This Java Programming Masterclass updated to Java 17 is designed to give you the Java skills you need to get a job as a Java developer. By the end of the course, you will understand Java extremely well and be able to build your own Java apps and be productive as a software developer. Lots of students have been successful in getting their first job or promotion after going through the course. Here is just one example of a student who lost her job and despite having never coded in her life previously, got a full-time software developer position in just a few months after starting this course. She didn’t even complete the course!

What you’ll learn

Learn the core Java skills needed to apply for Java developer positions in just 14 hours.
Be able to sit for and pass the Oracle Java Certificate exam if you choose.
Be able to demonstrate your understanding of Java to future employers.
Learn industry “best practices” in Java software development from a professional Java developer who has worked in the language for 18 years.
Acquire essential java basics for transitioning to the Spring Framework, Java EE, Android development and more.
Obtain proficiency in Java 8 and Java 11.

Recommended Course

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Ensemble Machine Learning in Python: Random Forest, AdaBoost

Ensemble Machine Learning in Python: Random Forest, AdaBoost - Ensemble Methods: Boosting, Bagging, Boostrap, and Statistical Machine Learning for Data Science in Python

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In recent years, we've seen a resurgence in AI, or artificial intelligence, and machine learning.

Machine learning has led to some amazing results, like being able to analyze medical images and predict diseases on-par with human experts.

Google's AlphaGo program was able to beat a world champion in the strategy game go using deep reinforcement learning.

Machine learning is even being used to program self driving cars, which is going to change the automotive industry forever. Imagine a world with drastically reduced car accidents, simply by removing the element of human error.

Google famously announced that they are now "machine learning first", and companies like NVIDIA and Amazon have followed suit, and this is what's going to drive innovation in the coming years.

Machine learning is embedded into all sorts of different products, and it's used in many industries, like finance, online advertising, medicine, and robotics.

It is a widely applicable tool that will benefit you no matter what industry you're in, and it will also open up a ton of career opportunities once you get good.

Machine learning also raises some philosophical questions. Are we building a machine that can think? What does it mean to be conscious? Will computers one day take over the world?

This course is all about ensemble methods.

We've already learned some classic machine learning models like k-nearest neighbor and decision tree. We've studied their limitations and drawbacks.

But what if we could combine these models to eliminate those limitations and produce a much more powerful classifier or regressor?

In this course you'll study ways to combine models like decision trees and logistic regression to build models that can reach much higher accuracies than the base models they are made of.

In particular, we will study the Random Forest and AdaBoost algorithms in detail.

To motivate our discussion, we will learn about an important topic in statistical learning, the bias-variance trade-off. We will then study the bootstrap technique and bagging as methods for reducing both bias and variance simultaneously.

We'll do plenty of experiments and use these algorithms on real datasets so you can see first-hand how powerful they are.

Since deep learning is so popular these days, we will study some interesting commonalities between random forests, AdaBoost, and deep learning neural networks.

All the materials for this course are FREE. You can download and install Python, Numpy, and Scipy with simple commands on Windows, Linux, or Mac.

This course focuses on "how to build and understand", not just "how to use". Anyone can learn to use an API in 15 minutes after reading some documentation. It's not about "remembering facts", it's about "seeing for yourself" via experimentation. It will teach you how to visualize what's happening in the model internally. If you want more than just a superficial look at machine learning models, this course is for you.

"If you can't implement it, you don't understand it"

Or as the great physicist Richard Feynman said: "What I cannot create, I do not understand".

My courses are the ONLY courses where you will learn how to implement machine learning algorithms from scratch

Other courses will teach you how to plug in your data into a library, but do you really need help with 3 lines of code?

After doing the same thing with 10 datasets, you realize you didn't learn 10 things. You learned 1 thing, and just repeated the same 3 lines of code 10 times...

Suggested Prerequisites:

Calculus (derivatives)

Probability

Object-oriented programming

Python coding: if/else, loops, lists, dicts, sets

Numpy coding: matrix and vector operations

Simple machine learning models like linear regression and decision trees

WHAT ORDER SHOULD I TAKE YOUR COURSES IN?:

Check out the lecture "Machine Learning and AI Prerequisite Roadmap" (available in the FAQ of any of my courses, including the free Numpy course)

UNIQUE FEATURES

Every line of code explained in detail - email me any time if you disagree

No wasted time "typing" on the keyboard like other courses - let's be honest, nobody can really write code worth learning about in just 20 minutes from scratch

Not afraid of university-level math - get important details about algorithms that other courses leave out

Who this course is for:

Understand the types of models that win machine learning contests (Netflix prize, Kaggle)
Students studying machine learning
Professionals who want to apply data science and machine learning to their work
Entrepreneurs who want to apply data science and machine learning to optimize their business
Students in computer science who want to learn more about data science and machine learning
Those who know some basic machine learning models but want to know how today's most powerful models (Random Forest, AdaBoost, and other ensemble methods) are built

2023 Natural Language Processing in Python for Beginners

2023 Natural Language Processing in Python for Beginners - Text Cleaning, Spacy, NLTK, Scikit-Learn, Deep Learning, word2vec, GloVe, LSTM for Sentiment, Emotion, Spam & CV Parsing

Created by Laxmi Kant

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Welcome to KGP Talkie's Natural Language Processing (NLP) course. It is designed to give you a complete understanding of Text Processing and Mining with the use of State-of-the-Art NLP algorithms in Python.

We will learn Spacy in detail and we will also explore the uses of NLP in real life. This course covers the basics of NLP to advance topics like word2vec, GloVe, Deep Learning for NLP like CNN, ANN, and LSTM. I will also show you how you can optimize your ML code by using various tools of sklean in python. At the end part of this course, you will learn how to generate poetry by using LSTM. Multi-Label and Multi-class classification is explained. At least 12 NLP Projects are covered in this course. You will learn various ways of solving edge-cutting NLP problems.

What you'll learn

Learn complete text processing with Python
Learn how to extract text from PDF files
Use Regular Expressions for search in text
Use SpaCy and NLTK to extract complete text features from raw text
Use Latent Dirichlet Allocation for Topic Modelling
Use Scikit-Learn and Deep Learning for Text Classification
Learn Multi-Class and Multi-Label Text Classification
Use Spacy and NLTK for Sentiment Analysis
Understand and Build word2vec and GloVe based ML models
Use Gensim to obtain pretrained word vectors and compute similarities and analogies
Learn Text Summarization and Text Generation using LSTM and GRU

REST APIs with Flask and Python in 2023

REST APIs with Flask and Python in 2023 - Build professional REST APIs with Python, Flask, Docker, Flask-Smorest, and Flask-SQLAlchemy

Created by Jose Salvatierra, Teclado by Jose Salvatierra | 11 hours on-demand video course

Welcome to the bestselling REST API course on Udemy! I’m Jose. I’m a software engineer, here to help you truly understand and develop your skills in web and REST API development with Python and Flask. Production-ready REST APIs with Flask

This course will guide you in creating simple, intermediate, and advanced REST APIs including authentication, deployments, databases, and much more. We’ll start with a Python refresher that will take you from the very basics to some of the most advanced features of Python—that’s all the Python you need to complete the course. Using Flask and popular extensions Flask-RESTful, Flask-JWT, and Flask-SQLAlchemy we will dive right into developing complete, solid, production-ready REST APIs. We will also look into essential technologies Git, Heroku, and nginx.

What you’ll learn

Connect web or mobile applications to databases and servers via REST APIs
Create secure and reliable REST APIs which include authentication, logging, caching, and more
Understand the different layers of a web server and how web applications interact with each other
Handle seamless user authentication with advanced features like token refresh
Handle log-outs and prevent abuse in your REST APIs with JWT blacklisting
Develop professional-grade REST APIs with expert instruction

Recommended Course

Web Developer Bootcamp with Flask and Python

Automated Software Testing with Python

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Visual Studio Code for Developers 2023: Beginner to Advanced

Visual Studio Code for Developers 2023: Beginner to Advanced - Learn Visual Studio Code, Extensions, Shortcuts, Version Control, Debugging, Jupyter Notebooks, Markdown, and More.

Created by Estefania Cassingena Navone | 7 hours on-demand video course

Welcome to Visual Studio Code for Developers, the course that you need to start working with one of the most popular code editors in the developer community. Learn Visual Studio Code with hands-on practice and detailed step-by-step explanations of the basic and advanced features of Visual Studio Code.

This course is for everyone who wants to master Visual Studio Code. If you are starting your coding journey or if you are an experienced developer, this course will help you master Visual Studio Code and improve your productivity as a developer.

Estefania will take you step by step from the basic features of Visual Studio Code like working with files to more advanced features like debugging and source control to help you succeed and incorporate this amazing code editor into your daily workflow. Visual Studio Code is Your Next Step Into the in-demand and powerful World of Software Development.

What you’ll learn

Optimize your productivity with Visual Studio Code.
Master the fundamental features of Visual Studio Code.
Customize Visual Studio Code to fit your needs, style, and personal taste.
Install helpful extensions from the Extensions Marketplace.
Work with repositories, git, and GitHub in Visual Studio Code.
Learn how to work with the debugger and Jupyter Notebooks in Visual Studio Code.
Optimize Visual Studio Code to work with Python and Web Development.
Work with the integrated terminal and run commands.
Add built-in code snippets, install new ones, and create custom snippets.
Learn Visual Studio Code tips to optimize your productivity.

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Python A-Z™: Python For Data Science With Real Exercises!

Python A-Z™: Python For Data Science With Real Exercises! - Programming In Python For Data Analytics And Data Science. Learn Statistical Analysis, Data Mining And Visualization

Created by Kirill Eremenko, Ligency I Team, Ligency Team

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Learn Python Programming by doing!

There are lots of Python courses and lectures out there. However, Python has a very steep learning curve and students often get overwhelmed. This course is different!

This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward.

After every video you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples.

This training is packed with real-life analytical challenges which you will learn to solve. Some of these we will solve together, some you will have as homework exercises.

In summary, this course has been designed for all skill levels and even if you have no programming or statistical background you will be successful in this course!

I can't wait to see you in class,

What you'll learn

Learn to program in Python at a good level
Learn how to code in Jupiter Notebooks
Learn the core principles of programming
Learn how to create variables
Learn about integer, float, logical, string and other types in Python
Learn how to create a while() loop and a for() loop in Python
Learn how to install packages in Python
Understand the Law of Large Numbers

The Complete Web Developer in 2023: Zero to Mastery

The Complete Web Developer in 2023: Zero to Mastery - Learn to code and become a Web Developer in 2023 with HTML, CSS, Javascript, React, Node.js, Machine Learning & more!

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Just Updated for 2023! Become a Fullstack Web Developer by learning the most in demand skills! Graduates of this course are now working at companies like Google, Tesla, Amazon, Apple, Shopify, JP Morgan, Facebook + other top tech companies (...seriously).

Join a live online community of over 900,000+ developers and a course taught by an industry expert that has actually worked both in Silicon Valley and Toronto as a Senior Developer and Tech Lead.

This is the tutorial you've been looking for to become a modern web developer in 2023. It doesn’t just cover a small portion of the industry. This covers everything you need to know to get hired: from absolute zero knowledge to being able to put things on your resume that will allow you to live the life you want.

Sounds too good to be true? Give me 5 minutes of your time to explain why I built this Web Development course and what is different here than thousands of other courses all over the internet:

I update the course every month to make sure you learn the most up to date skills! There is no wasted time here. We won’t be using outdated technologies like PHP, Wordpress and JQuery. Although still useful, outdated technologies like the above are low paying and demands for them are decreasing. In this course, you will learn the specific technologies that are the most in demand in the industry right now. These include tools and technologies used by the biggest tech companies like Google, Facebook, Instagram, etc… It is geared specifically for people that want to learn employable skills in 2023.

After finishing this course, you will be able to apply for developer roles, get a promotion, or upgrade your job title as a developer and earn a higher salary. We won't be taking any shortcuts in this course. You are going to go from absolute zero: where you learn how the internet works. To mastery: where you build an image recognition app using a Machine Learning API (a subset of Artificial Intelligence) and all the other modern technologies that we learn in the course. Most students have commented how the projects in this course have impressed their interviewers and allowed them to get an offer.

This course is taught by an instructor who has worked in Silicon Valley, and one of the top tech companies in Toronto. I have built large scale applications, and have managed teams of developers. I am not an online marketer or a salesman, but a software developer who has worked directly with these technologies. I love programming and believe that there needs to be a course out there that actually teaches valuable real life skills (because most of them are taught by teachers with no work experience).

Your time is valuable and you don't want to spend thousands of dollars on a bootcamp. You want a course that outlines the best way to become a Web Developer, in simple and well explained terms, so that you fully understand topics instead of watching somebody on your screen and having no clue what is going on. I have taken the best pieces, tools, and practices that I have found over the years, and condensed everything into this course. 50 hours of videos doesn't mean much if the instructor isn't engaging or focuses on outdated topics. I made sure that everything covered in this course is efficient and focuses on getting you job ready as soon as possible!

We have a thriving online chat community so you really feel like you are part of a classroom and not just watching videos by yourself. You will have a chance to communicate with fellow students, work on group projects together, and contribute to open source projects. Anytime you have a question, you can ask in many locations and get help right away (including from myself).

The course is designed to give you employable skills so you can get a job. Here is what one student recently wrote after taking the course and being hired right away:

"I’m a self taught dev, who has been out of work for ~6 months. I had some family things that came up that prevented me from seeking permanent employment, so for awhile I was Postmates/Uber delivery driver.

After taking this course, I immediately got catapulted back to where I was before, but better equipped and with the knowledge to take on the next job. I had just finished the React section when I went to a recent interview, and it really helped me excel. As of today, I am officially re-employed back in the field, and it is all thanks to this course. I had a blast creating the final project, and FINALLY got around to learning SQL statements, and getting to use them in a project. I’m really ecstatic that Andrei went with teaching relational databases over something like MongoDB, which can also be fun, but is less practical for use on the job. So thanks Andrei , I really enjoyed the course and will be making sure to share it with others who find it helpful. I’m also looking forward to the new ES10 content that was recently added, and going through the DB stuff again when I go to build a personal project." - J.C.

Think of this course like a Web Developer bootcamp. By the end, you will be comfortable using the below skills and you will be able to put them on your resume:

HTML/HTML5

CSS/CSS3

SemanticUI

Responsive Design

Flexbox

CSS Grid

Bootstrap 5

DOM Manipulation

Javascript (including ES6/ES7/ES8/ES9/ES10/ES2020/ES2021/ES2022)

Asynchronous JavaScript

HTTP/JSON/AJAX

React + Redux + React Hooks

Git + Github

Command Line

Node.js

Express.js

NPM

RESTful API Design

PostgresSQL

SQL

Authentication

Authorization

Scalable Infrastructure

Security

Production and Deployment

You will be taken through online videos and exercises where you will be able to do the following things by the end:

Build real complex applications and websites

Build an image recognition app so you can add it to your portfolio

Go into a job interview confident that you understand the fundamental building blocks of web development and the developer trends in 2023

Be able to go off on your own and grow your skills as a developer, having built a solid foundation

Learn how frontend, servers, and databases communicate and how they all fit together in the eco system

Build your own startup landing page

Go off and work remotely by being a freelance developer that can bid on projects

This course is the accumulation of all of my years working in the industry, learning, and teaching. There is so much information out there, so many opinions, and so many ways of doing things, that unless you have spent the last few years working with these technologies in a company, you will never fully understand. So this course is the answer to that exact problem for you: How to gain experience when you need experience to get hired? I have gone through thousands of coding books, online tutorials and bootcamps. Throughout the years I have taken notes on what has worked and what hasn't, and I have created this course to narrow down the most efficient way to learn with the most relevant information.

I am 100% confident that you won't find a course like this out there. We're not going to be building simple todo applications and cat image sliders. We are going to learn actual practical skills that will put you into the workforce. Some unique sections that you won't find anywhere else are:

React.js + Redux: You will learn the library that companies like Netflix, Facebook and Instagram use to build fast, scalable applications. This is one of the highest in-demand skill in the industry.

A day in the life of a developer: What will your day to day look like and what tools will you use? I will take you through a sample day at a tech company.

How does the internet actually work? What is the history of these technologies?: You will actually understand the underlying concepts of the internet, and how the technologies we have now, have come to be where they are.

How do you actually deploy a real life app so that it is secure, and won't get hacked?: How does a real life app get out to the public in a safe and secure way?

What is Machine Learning and how you can harness its power: Whether you have heard about it or not, this is something that you will hear more and more in the coming years. Those who understand the high level concepts and can harness its power will have an advantage.

What does your developer environment on your computer look like?: We will be setting up our computers with all the tools necessary of a developer so you can use the same setup when you go work in the industry.

Why do we teach the above? Because in this day and age, just knowing HTML CSS and Javascript is not good enough, and you won't be able to grow in your role and command a higher salary. You will learn these things because these are the things you should know in 2023 so that you are miles ahead of the rest.

Make this the year that you took a risk, you learned highly in demand skills, you had new experiences, and you received new opportunities. I hope you join me in this journey.

This is the proudest work I have ever done in my life and I am confident that you won't find a course better than this.

See you inside!

Taught by:

Andrei is the instructor of the highest rated Web Development course on Udemy as well as one of the fastest growing. His graduates have moved on to work for some of the biggest tech companies around the world like Apple, Google, Amazon, JP Morgan, IBM, UNIQLO etc... He has been working as a senior software developer in Silicon Valley and Toronto for many years, and is now taking all that he has learned, to teach programming skills and to help you discover the amazing career opportunities that being a developer allows in life.

Having been a self taught programmer, he understands that there is an overwhelming number of online courses, tutorials and books that are overly verbose and inadequate at teaching proper skills. Most people feel paralyzed and don't know where to start when learning a complex subject matter, or even worse, most people don't have $20,000 to spend on a coding bootcamp. Programming skills should be affordable and open to all. An education material should teach real life skills that are current and they should not waste a student's valuable time. Having learned important lessons from working for Fortune 500 companies, tech startups, to even founding his own business, he is now dedicating 100% of his time to teaching others valuable software development skills in order to take control of their life and work in an exciting industry with infinite possibilities.

Andrei promises you that there are no other courses out there as comprehensive and as well explained. He believes that in order to learn anything of value, you need to start with the foundation and develop the roots of the tree. Only from there will you be able to learn concepts and specific skills(leaves) that connect to the foundation. Learning becomes exponential when structured in this way.

Taking his experience in educational psychology and coding, Andrei's courses will take you on an understanding of complex subjects that you never thought would be possible.

See you inside the courses!

Who this course is for:

You want to learn to code and build websites and web apps
You are looking to start a career in Web Development
You know HTML and CSS but want to expand your skills and do more
You want to start your own business or become a freelancer
You want to learn REAL industry skills that are necessary in 2023 to get hired as a web developer and earn a higher salary
You want one course to teach you everything in one place from a senior developer that works in the industry
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What you'll learn

Skills that will allow you to apply for jobs like: Web Developer, Software Developer, Front End Developer, Javascript Developer, and Full Stack Developer
Learn modern technologies that are ACTUALLY being used behind tech companies in 2023
Build 10+ real world Web Development projects you can show off
Build a professional Portfolio Website
Learn best practices to write clean, performant, and bug free code
Master modern Web Development fundamentals as well as advanced topics
Work as a freelance Web Developer
Master beginner and advanced JavaScript topics
Learn React + Redux to build rich front end applications
Build your own full stack websites and applications
Build a complex image recognition app using everything we learn in the course
Become a professional Web Developer and get hired
Use NodeJS to write server-side JavaScript
Learn to implement user authentication
Use Express, SQL and PostgreSQL to create fullstack applications that scale
Master fundamental concepts in Web Development
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Deep Learning Prerequisites: Linear Regression in Python

Deep Learning Prerequisites: Linear Regression in Python - Data science, machine learning, and artificial intelligence in Python for students and professionals

Bestseller | Created by Lazy Programmer Inc.

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This course teaches you about one popular technique used in machine learning, data science and statistics: linear regression. We cover the theory from the ground up: derivation of the solution, and applications to real-world problems. We show you how one might code their own linear regression module in Python.

What you'll learn

Derive and solve a linear regression model, and apply it appropriately to data science problems
Program your own version of a linear regression model in Python

Next JS & Open AI / GPT: Next-generation Next JS & AI apps

Next JS & Open AI / GPT: Next-generation Next JS & AI apps Course

Next JS & OpenAI GPT3: Build an SEO-friendly blog post gen app with auth0, GPT, stripe payments, tailwind, & MongoDB

Welcome to the exciting world of AI-powered, next-generation, Next JS apps! In this course we will create a fictional Software-As-A-Service (SAAS) product called “BlogStandard”. We’ll build “BlogStandard” using a combination of Next.js, OpenAI’s GPT, MongoDB, Auth0, Stripe, and Tailwind CSS. BlogStandard allows users to create an account (handled by auth0), purchase tokens (handled by stripe), and spend those tokens to generate blog posts, powered by OpenAI’s GPT API. User’s tokens and generated blog posts will be stored using MongoDB.

In this comprehensive online course, you’ll learn how to harness the power of these cutting-edge technologies to build a fast, responsive, and dynamic web application that generates high-quality blog posts using AI. With step-by-step guidance, you’ll gain hands-on experience working with each of these technologies to bring your vision to life.

Best Seller Course: The Complete ChatGPT Web Development Code Along – Javascript

What you’ll learn

Build your own SAAS products powered by AI and Next JS
Use OpenAI’s GPT to implement AI generated content in your apps
Authenticate your Next JS apps with Auth0
Style your Next JS apps with Tailwind CSS
Store data for your Next JS apps with MongoDB
Charge customers using stripe

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Spring Framework 6: Beginner to Guru

Free Coupon Discount - Spring Framework 6: Beginner to Guru, Spring Framework 5: Learn Spring Framework 5, Spring Boot 2, Spring MVC, Spring Data JPA, Spring Data MongoDB, Hibernate

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Learn Spring with the most modern and comprehensive course available for Spring Framework 5 and Spring Boot 2. You will see how to build multiple real world applications using Spring Framework 5.

This is the only major Spring Framework course on Udemy developed completely on version 5 of the Spring Framework.

Be careful of Spring Framework 4 courses, which have just added some content for Spring Framework 5.

This course shows you the latest Spring programing technologies and real world industry best practices.

You will learn to be a Spring Framework Guru!

★★★★★ What real Students are saying about this course ★★★★★

★★★★★ Really great course :) Tons of information about not only spring but also testing, docker, databases. Really recommend you this one! Thank you John :)

★★★★★ John Thompson is one the best instructors on Udemy and is the best Spring instructor. Awesome voice and clear explanations and slides.

★★★★★ I am an experienced Client side programmer with over 7 years of experience, currently in the process of migrating to the back-end. Before this course, I have tried many other courses, so I really mean this when I say it, this course is outstanding! The instructor is so expired and passionate about programming, It's addictive.

★★★★★ This course covers Spring Framework from A - Z, including newer concepts like Reactive and Webflux. The apps built along the way mimic real world apps and the assignments help reinforce the learning along the way. It assumes some Java experience, although not much. Overall I feel competent in Spring after having taken this course.

★★★★★ This has to be the best bang-for-buck course I've taken - ANYWHERE! This course covers a LOT of ground, getting your hands dirty with lots of other technologies and frameworks along the way (Mockito, Lombok, Docker, MySQL, H2, MongoDB, JUnit, CicleCI). If you're sitting on the fence about taking this course, take the plunge!

★★★★★ Unparalleled quality. The sheer volume of content in this course is absurd. There are so many unique resources that you can take advantage of to help you learn Spring. I have never seen an instructor work this hard to provide his students value from a course.

Inside This Course

The in demand technologies you will use to build Spring Framework applications, include:

Spring Framework 5

Spring Boot 2

Spring Data JPA

Spring MVC

Spring MockMVC

Spring WebFlux

Spring Web Client

Spring Data MongoDB

Spring RestDocs

Hibernate

Project Lombok

MapStruct

Maven

Gradle

JUnit 4 and JUnit 5

Mockito

All source code examples used in this course have been developed using the latest version of the Spring Framework - Spring Framework 5 and Spring Boot 2.

You will see how modern Spring Framework development is done by leveraging the features of Spring Boot 2.

Jump In and Build a Spring MVC App with Spring Boot!

We'll jump right into web development with the Spring Framework. I'll show you how kick off a Spring Boot project by using the Spring Initializr. We will then go step by step to build a simple Book / Author web application.

You will see how easy it is to use Spring Boot, Spring MVC, and Spring Data JPA to create a functional web application running under Tomcat with a H2 in-memory database.

Use Test Driven Development!

In addition to teaching you Spring Framework 5, you will learn about modern best practices used in enterprise application development.

As we build the applications, you'll see me using Test Driven Development (TDD) with JUnit and Mockito.

You will learn how to test Spring applications using JUnit 4 and JUnit 5. While JUnit 5 has been released for some time, many companies are still using JUnit 4.

See how using Mockito mocks will keep your Spring Framework unit tests light and fast!

You'll also see how the Spring context can be used for more complex integration tests.

These techniques are best practices used by companies all over the world to build and manage large scale Spring Framework applications.

GitHub Source Code

You will have complete access to all source code examples used in the course.

In each lesson where we write code, you will have a link to GitHub with two branches in the Github repository.

The first branch is the starting state of the code.

The second branch is the ending state of the code.

You can see exactly what changed in each lesson. Each step of the way, you have a working example you can use for troubleshooting.

In fact, you will get access to 24 (and growing!) different GitHub repositories - each packed with Spring Framework programming examples.

And, you're encouraged to fork my GitHub repositories so you can share the Spring Framework applications, which you built, to future employers!

Continuous Integration Builds

Since we are using GitHub and have great test coverage, I also show you how easy it is to set up Continuous Integration builds with CircleCI.

Continuous Integration builds are another best practice used by enterprise developers.

Using CircleCI makes your CI builds a snap!

Project Lombok

We all know Java development can require a lot of boiler plate code. It's just the nature of Java.

Would you like to see how to slash your boiler plate code using Project Lombok?

Spring Data JPA and Hibernate

Spring MVC and Hibernate have long been cornerstones of the Spring Framework. You will learn how to use Spring MVC, Spring Data JPA and Hibernate to build a real world web application. You'll learn about Hibernate configuration, and about the mapping of JPA entities.

The Thymeleaf template engine is hugely popular with the Spring community. You will see how easy Spring Boot makes using Thymeleaf with Spring MVC.

While Bootstrap CSS is not a focus of the course, we will leverage Bootstrap CSS to make our web pages look awesome!

Spring MVC

Spring MVC has a lot of robust capabilities.

The Complete Python Course | Learn Python by Doing in 2023

The Complete Python Course | Learn Python by Doing in 2023 - Go from Beginner to Expert in Python by building projects. The best investment for your Python journey!

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Description

Welcome to the Complete Python Course!

Learn Python from a software developer. If you want to master Python and write efficient, elegant, and simple code, this is the course you've been looking for!

Even if you have no programming experience, this course will give you a super-strong foundation and teach you how to use Python to achieve any goal.

We've crafted every piece of content to be concise and straightforward, while never leaving you confused:

Hundreds of code-along videos with in-depth explanations

Dozens of presentations with animated diagrams

Quizzes

Coding exercises

Python projects for you to learn to make real Python applications

Why Choose THIS Course?

Get a broader and deeper experience in Python than with any other Udemy course on the market.

Start at zero and become an expert whilst learning all about the inner workings of Python.

Learn how to write professional Python code like a professional Python developer.

Embrace simplicity and develop good programming habits.

Explore advanced Python, such as decorators, asynchronous development, and managing project dependencies

Improve your Python code with formatters and linters

Store data in a database so it's accessible and searchable.

Learn about web development using Flask, to create websites that you can share with users.

Extract information from existing websites using web scraping.

Control your browser using Selenium, to automate using almost any website!

Learn to interact with REST APIs to fetch data from other web applications.

Create desktop GUIs using Tkinter, and turn them into executable applications you can share with non-technical users.

Start working with unit testing in Python by learning about the unittest library

Who Is This Course For?

Beginners who have never programmed before.

Programmers with experience in other languages who want to kickstart their Python programming.

Programmers who know some Python but want to round off their skills and become truly proficient.

What Am I Going to Get From This Course?

Lifetime access to over 300 code-along lectures covering all aspects of Python, from the foundations to advanced concepts.

Complete written notes and code for you to read and refer to as you progress through the course.

Milestone projects for you to complete throughout the course. These provide a challenge and an opportunity for you to apply what you've learned. We always go over the code after to show you how we would tackle them.

Quizzes and coding exercises for you to check your understanding.

High-quality help and support. Every year we personally help thousands of students. We don’t leave a single question unanswered.

Here's a breakdown of some of the topics this course covers!

Command Line Basics

Installing Python

Running Python Code

Strings and Numbers

String Formatting

Lists, Dictionaries, Tuples, and Sets

Functions and lambdas

Decorators

Scope

args/kwargs and default parameter values

The concept of mutability

Built-in Functions

Debugging and Error Handling

Type hinting (new in Python 3.8)

Creating your own error classes

Modules and installing libraries

Object Oriented Programming, in a lot of depth

Composition and Inheritance

File I/O

Database interactions

Unit testing

Regex (Regular Expressions)

Web Scraping

Algorithms and Data Structures

And much, much more!

Feel free to read through the course curriculum, as well as watch the free lectures of this course. I'm sure you'll enjoy them.

But don't take my word for it! Read through some of these reviews and see what other students are saying:

> "Excellent teaching ability combined with deep understanding of the subject has produced one of the best online courses I've taken in decades. Fabulous work! Thank you!" - Maria Iano

> "Really amazing course. would recommend to all the students or programmers who want to learn python from scratch." - Hriday Panchal

> "Exactly the course I needed!!! Explanations are clear, lots of examples, and everything you need in python! thanks so much." - Julien Palleau

> "Another amazing offering from Jose. This course offers the most comprehensive look at Python available. Consider, for example, the extensive treatment regarding asynchronous development, or the detailed introduction to web development with Flask, or the Tkinter GUI introduction. I have had several other offerings by Jose here on Udemy. Always get far more than I expected." - Martin Dwyer

> "Honestly, I don’t know much about other courses, but after taking a quick peek at some of them, I can safely say that this is the most complete Python course in Udemy. [...] Definitely recommended for those who want to begin their Python journey but don’t know where to start." - Mateo Delgadillo Karam

Also remember: we have a 30-day money-back guarantee, so sign up and try the course totally risk-free!

I'll see you on the inside.

Who this course is for:

Beginner programmers who want to get into one of the most popular and loved languages in the world
Programmers from other languages who want to kickstart their Python journey
Python programmers who want to refresh their skills and tackle advanced topics like algorithms and asynchronous programming

5 Days of Matlab, Simulink & SimScape – New 2023!

Build & Simulate Powerful Models in Matlab, Simulink & SimScape. Master Transfer Functions, PID, AI/ML & Live Scripts!

Simulink is a powerful MATLAB-based tool used to design and simulate mechanical, electrical, electromechanical, and hydraulic systems using a large comprehensive drag and drop library. This course is unique and exceptional in many ways. Every day, we will spend 1-2 hours together and learn how to build and simulate Matlab, Simulink and simscape models. The course is designed in a unique project-based learning approach, and you will learn by doing! The course includes several practice opportunities, quizzes, and final capstone projects.

Best Seller Course: Machine Learning for Data Science using MATLAB

What you’ll learn

Model and simulate Mechanical Systems Using Physical Modeling techniques in SimScape
Model and Simulate Systems in the Time Domain Using Simulink
Analyze Systems Response and Change Model Parameters Using Matlab Live Scripts
Understand the Basic Concepts of Control Systems and Develop their Own Controllers in Simulink
Understand Control System Theory, Develop PID controllers, and Tune Controllers in Simulink
Convert Systems from Time Domain to S-Domain Using Laplace Transform
Understand the Concept of Transfer Functions
Understand the Impact of Stiffness and Damping Coefficients on Second-Order Systems
Understand the Theory and Intuition Behind Artificial Intelligence, Machine Learning, Deep Learning, and Artificial Neural Networks
Train Artificial Intelligence Classifier Models in Matlab to Detect and Classify Diabetes and Cancer diseases
Understand classifier model Key Performance Indicators (KPIs) such as accuracy, Area Under Curve (AUC) and Receiver Operating Characteristic (ROC) Curve

Recommended Course: Digital Signal Processing (DSP) From Ground Up™ with MATLAB

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ChatGPT: Build Solutions and Apps with ChatGPT and OpenAI Course

Integrate ChatGPT into your no-code apps and solutions | Create 6+ ChatGPT integrations | Build 4+ ChatGPT Applications

This course has one objective: start building applications and solutions with ChatGPT. We do that by first learning more about OpenAI and ChatGPT, and how to use its APIs in our platforms. We then create a serverless function that can take ChatGPT prompts and return responses – the first step to integrate your ChatGPT into your application. After that, we learn to integrate the ChatGPT API into many platforms, like Outlook, Power Apps, Power Automate, Teams, Bubbe, Airtable, and more. Finally, we take all we’ve learned, and create full applications and solution examples, like TravelPlan, a web application that helps users create itineraries through the power of ChatGPT.

Best Seller Course: ChatGPT chatbot for Salesforce Admin and Developers Chat GPT

What you’ll learn

Create full business applications and solutions with the OpenAI API and ChatGPT AI
The inner workings of OpenAI, chatGPT, its capabilities, advantages, disadvantage, and more
Integrate ChatGPT into several business platforms, like Outlook, Teams, Excel, Power Automate, and more
Integrate ChatGPT into several no-code development applications, like Power Apps, Bubble, Airtable, and mofre
Create a ChatGPT app that replies to your emails in a professional and polite manner
Create a ChatGPT app from scratch that automatically creates real cover letters based on job ads and resumes
Create a ChatGPT app from scratch that plans itineraries based on location, trip length, and interests
Create a ChatGPT chatbot with Teams
Create a ChatGPT app that generates stock photos to be used in pitch presentations and other slide decks
Integrate ChatGPT API into Azure Functions, enabling you to put ChatGPT anywhere

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Introduction to Spacy for Natural Language Processing

Kick start your Data Science career with NLP. This course is about Spacy. NLTK is not taught in this course.

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Welcome to "Introduction to Spacy for Natural Language Processing"! In this course, you will learn how to use the powerful Spacy library to perform various natural language processing tasks such as tokenization, tagging, parsing, and named entity recognition.

You will start by learning the basics of Spacy and how to install and use it in your Python projects. From there, you will dive into more advanced topics such as using Spacy's pre-trained models, creating custom pipeline components, and working with large datasets.

Throughout the course, you will work on real-world examples and hands-on exercises to solidify your understanding of the concepts. By the end of the course, you will have the skills and knowledge needed to confidently use Spacy in your own NLP projects.

This course is suitable for beginners to NLP and Spacy, as well as experienced developers looking to expand their skills. Sign up now and start your journey to mastering Spacy and NLP!

Spacy is a popular natural language processing library for Python that provides a wide range of features for working with text data. Some of the key features of Spacy include:

Tokenization: Spacy can quickly and accurately tokenize text into words and punctuation, making it easy to work with individual words and phrases.

Part-of-speech tagging: Spacy can identify and label the part-of-speech of each token in a sentence, such as nouns, verbs, adjectives, and more.

Named entity recognition: Spacy can identify and label specific entities in a text, such as people, organizations, and locations.

Dependency parsing: Spacy can analyze the grammatical structure of a sentence and identify the relationships between words, such as subject-verb-object.

Sentence detection: Spacy can detect and segment text into individual sentences, making it easy to work with multiple sentences at once.

Pre-trained models: Spacy includes pre-trained models for various languages, which can be easily loaded and used for tasks such as part-of-speech tagging and named entity recognition.

Custom pipeline components: Spacy allows developers to create custom pipeline components, which can be added to the existing pipeline to perform specific tasks.

Speed and efficiency: Spacy is designed to be fast and efficient, making it a good choice for working with large datasets.

Integration with other libraries: Spacy can be easily integrated with other popular Python libraries such as pandas, numpy, and scikit-learn for data analysis and machine learning tasks.

Spacy can be used in machine learning and deep learning in a number of ways. Some common use cases include:

Text classification: Spacy's pre-trained models and custom pipeline components can be used to extract features from text data, which can then be used as input to a machine learning model for text classification tasks such as sentiment analysis or topic classification.

Named entity recognition: Spacy's pre-trained models for named entity recognition can be used to extract named entities from text data, which can be used as input to a machine learning model for tasks such as entity linking or knowledge graph construction.

Text generation: Spacy can be used to preprocess text data and tokenize it into a format that can be used as input to a deep learning model for text generation tasks such as language translation or text summarization.

Text summarization: Spacy can be used to extract key phrases and entities from a text and use it as input to a deep learning model for text summarization tasks.

Text similarity: Spacy can be used to tokenize and vectorize text, which can then be used as input to machine learning models that calculate text similarity or perform tasks such as document clustering.

Text-to-Speech and Speech-to-Text: Spacy can be used to pre-process text data, tokenize and extract key phrases and entities, which can be used in TTS and STT models.

Overall, Spacy can provide a powerful set of features for natural language processing that can be easily integrated with machine learning and deep learning models to improve the performance of a wide range of NLP tasks.

Who this course is for:

Beginners to natural language processing and Spacy who want to learn how to use the library for various NLP tasks.
Experienced developers who want to expand their skills and learn how to use Spacy for their projects.
Data Scientists, Machine learning Engineers, and NLP practitioners who want to extract features from text data and use it in their models.
Anyone who is interested in learning about natural language processing and how to use Spacy to process and analyze text data.

Tailwind CSS and Alpine JS – Essentials Training

In this course we are going to get up and running with Tailwind CSS and Alpine JS.

Created by Malcolm Knott, Daniel Walter Scott | 2.5 hours on-demand video course

This course is for people who have a basic understanding of html and css, that want to get started with either Tailwind CSS or Alpine JS. This course also includes some javascript basics, but don’t worry if don’t have much or any javascript experience, we take the time to learn these basics where needed as we complete the course. We start off by quickly building a homepage of a website to give you an overview of what is like working with Tailwind CSS and Alpine JS. Then we pump the brakes and take our time to explain each part of the homepage.

This course isn’t so much about building a complete website from start to finish, it’s about giving you the tools to get started with, and complete your own project. We will build a homepage and also talk about some practical examples. Things you are going to need are a text editor and web browser. In this course I use Sublime Text and Google Chrome, it’s 100% ok for you to use whatever you are comfortable with. We are combining Tailwind CSS and Alpine JS into one course is so we’ll have a working web page or two at the end, rather than a static pages.

What you’ll learn

Learn and understand the basics of Tailwind CSS
Learn and understand the basics of Alpine JS
Create a new project with Tailwind CSS and Alpine JS
Make website components with Tailwind CSS and Alpine JS

Recommended Course

CSS – The Complete Guide 2023 (incl. Flexbox, Grid & Sass)

50 Projects In 50 Days – HTML, CSS & JavaScript

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The Complete WebdriverIO Course: From Zero to Expert! [2023]

Automation testing with the WebdriverIO next-generation framework using JavaScript & Node.js

Created by Gianni Bruno | 32 hours on-demand video course

WebdriverIO is an open-source testing automation framework written in JavaScript and running on NodeJS. It is particularly useful for testing web applications. It supports both Behavior Driven Development (BDD) and Test Driven Development (TDD), making it a highly preferred choice for automation testers.

This course is designed to be effective, efficient and easy to follow. I have been teaching for several years on Udemy with over 6 highly successful courses to date. I have refined this course using proven teaching techniques. This course is carefully structured from start to finish and I provide downloadable code examples after each coding lecture.

What you’ll learn

WebdriverIO in detail using JavaScript and NodeJS
How to create a highly advanced framework using WebdriverIO
The basics all the way to advanced subjects
Advanced reporting and continuous integration using Jenkins
Everything you need to know to write automation tests using WebdriverIO

Recommended Course

Selenium Webdriver with PYTHON from Scratch + Frameworks

WebdriverIO Certification Course with JavaScript & Node.js

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UPDATED DOM 2023 Build Dynamic Websites JavaScript Part 1

*UPDATED* DOM 2023 Build Dynamic Websites JavaScript Part 1 - Understand DOM (Document Object Model). Crucial for front end web development. Novice to Pro in easy steps. Course 1 of 2

This course is the first course of a 2-part program. The reason I have done this is that Course 1 provides everything you need to start coding dynamic sites by yourself. It gives you the sound fundamentals and practical’s regarding the DOM. It can be taken alone (you don’t have to do Course 2) to achieve your goals. You will emerge from Course 1 with a basic understanding and practical experience. It will take you to the point where you will understand what the DOM is, why we need it, how to access it, where to find it and how to manipulate it. This is awesome knowledge. Course 2 provides a whole different world of fun with amazing practical examples that will captivate you and catapult you to the next level and set you well on your way to becoming a true Grandmaster in front-end web development. In this course you’ll learn about front-end Web Development, by mastering the Document Object Model.

Best Seller Course: *UPDATED* JavaScript Complete Grandmaster 2023

What you’ll learn

***Download lectures (for offline viewing)
What exactly the Document Object Model is
Why the Document Object Model is so important for web developers
Learn how your website can come alive with actions, like zitsy changes on clicks, colour wheels, dropdowns, response on form submissions and much more
Have fun mastering front-end website development
Build awesome dynamic front-end applications
Practical – build awesome dynamic front-end applications with me
How your browser creates a DOM tree
Become a pro at creating elements in the DOM
The difference between the DOM, JavaScript and Python
The different environments of JavaScript
Parent, Sibling and Children DOM relationships
The different types of Nodes
The difference between an HTML Collection and Node Lists
How you can find the DOM
How you can access elements in the DOM
Master the skill of traversing (walking) up and down the DOM
How to remove items from the DOM
Cloning elements in the DOM
From beginner to expert (advanced +)
You will emerge an expert
Gives you depth of knowledge to boost your ability and confidence
I am here to support you, step-by-step
The different environments of JavaScript
Parent, Sibling and Children DOM relationships

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React JS Masterclass: Zero To Job Ready With 10 Projects

React JS Masterclass: Zero To Job Ready With 10 Projects - Become React Developer: React Core, Hooks, APIs,Routing, Context, Reducers, Redux, Firebase, Tailwind, Deployment & More

Created by Shubam Sarda | 35 hours on-demand video course

Welcome to React JS Masterclass, one single course to start your React journey as a beginner step-by-step. This course touches on each and every important topic through concept explanation, documentation, and implementation. The entire course is designed for beginners with one goal in mind, to learn concepts and build React projects.

What you’ll learn

Everything you need to become a React developer with basics to advanced concepts, how things works behind the scenes and real projects
Understand fundamentals: Components & Props, State, Hooks, Context & Reducers and more…
Dive Deep with Custom Hooks, Tailwind CSS, React Router, Redux, Firebase, React Skeleton & more…
Build real-world applications with React (E-Commerce, Movie Informer, Todolist Manager, Blog, Word Counter & more)
Build mock ecommerce backend with JSON Auth Server and deploy it on Railway
Work with multiple API’s to make the most of third-party data (such as Movie information & Jokes)
Deploy your projects on Netlify using Git & Github
Test your application with Jest and React Testing Library
Learn with the latest versions: React 18 and JavaScript ES13
Be in the top 10% Fresh React JS Developer
And lot more!

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Svelte & SvelteKit: The Complete Guide

Svelte & SvelteKit: The Complete Guide - Build & Deploy High Performance, Accessible, Server Side Rendered Web Apps that Work Even with JavaScript Disabled.

Created by Ali Alaa | 22.5 hours on-demand video course

Svelte is a JavaScript framework that allows you to build state driven components. However what makes Svelte different from other frameworks like Angular, React and Vue; is that Svelte is a compiler. Svelte runs at build time. Which means your Svelte code will be compiled at build time into highly efficient imperative code that runs on the browser to carry out DOM operations. Other famous frameworks usually use a technique called the virtual DOM to decide how to update the DOM. This technique runs in the browser during run time. And that adds more overhead to the DOM calculations.

In this course we are going to learn everything about Svelte from scratch. We will start with the basics by creating simple components. And then gradually progress and create more complex components. And while Svelte is a great tool to build components for the web, it’s not an easy task to build an entire application with just Svelte. That’s why we have SvelteKit. SvelteKit is a framework for rapid development of robust, performant web applications. SvelteKit provides us out of the box with things like routing, server side rendering, pre-rendering and more. It provides us with a structure that we can follow to build high performance applications that are server side rendered and progressively enhanced.

What you’ll learn

Learn everything about Svelte from Scratch.
Learn everything about SvelteKit.
Use SvelteKit to create a high performance web application.
Create applications that work without JavaScript enabled.

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Next JS & Open AI / GPT: Next-generation Next JS & AI apps Course

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5 Days of Matlab, Simulink & SimScape – New 2023!

ChatGPT: Build Solutions and Apps with ChatGPT and OpenAI Course

Introduction to Spacy for Natural Language Processing

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Tailwind CSS and Alpine JS – Essentials Training

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The Complete WebdriverIO Course: From Zero to Expert! [2023]

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