[100% OFF] Deep Learning and Neural Networks - Complete BootCamp  Free
A complete course on Deep Learning and Neural Networks concepts in a simplified and easy to understand manner. In this course, you will learn the foundations of deep learning. The course covers following:
Introduction to Neural networks and its Applications
Basics of Neural Networks
NumPy crash Course and Vectorization
Shallow Neural Networks
Deep Neural networks
Key parameters in neural network architecture
Let's dive into the course.
This course focuses on one of the main branches of... More Machine Learning that is Supervised Learning in Python. If you are not familiar with Python, there is nothing to worry about because the Lectures comprising the Python Libraries will train you enough and will make you comfortable with the programming language.
The course is divided into two sections, in the first section, you will be having lectures about Python and the fundamental libraries like Numpy, Pandas, Seaborn, Scikit-Learn and Tensorflow that are necessary for one to be familiar with before putting his hands-on Supervised Machine Learning.
Then is the Supervised Learning part, which basically comprises three main chapters Regression, Classification, and Deep Learning, each chapter is thoroughly explained, both theoretically and experimentally.
During all of these lectures, we’ll be learning how to use the different machine learning algorithms to create some mind-blowing modules of Machine Learning, and at the end of the course, you’ll be trained enough that you would be able to develop you own Recognitions Systems and Prediction Models and many more.
Let's get started!
Who this course is for:
Those who are interested in AI and Machine Learning
Those who have basic knowledge of any programming language
Those who want to be create awesome Machine Learning and AI modules
And those who want to earn some handsome amount of money from Machine Learning Field in Future Less
You're in the right place. You can learn through t... Morehis course how to start, build and implement successful project strategy. You will get advice how to measure and follow-up your project strategy. This will certainly make your current or coming project successful from the beginning.
This course will help you
1. Understand project strategy principles
2. Start your project strategy from zero, linked to enterprise expectation
3. Build successful project strategy according to planned objectives
4. Implement planned and selected strategy into practice
5. Measure your success, recognize problems before failure
6. Avoid mistakes from start until end.
Have you had problems in your project scope, schedule or budget? Have you ever thought there could be better ways to success in projects? Enroll this course to learn more, be more successful and take your projects into next level.
It's important to understand both enterprise and project KPIs (Key Performance Indicators) and how they link to each other for expected outcomes. Project management is a function which will glue together many departments, teams and people for desired outcome. To make your project successful it needs to be strategic.
This course is designed for beginners and more advance project managers or project members. It will also help stakeholders like sponsors to understand how projects fail or success. You can take tips and tricks from this course into your toolbox and create a success! Enroll today!
Who this course is for:
Project team members
Project sponsors/other stakeholders Less
The content is ideal for those interested in working as a web developer, launching a web application, or devoted enthusiasts. The concepts explored in this course are suitable for individuals of all skill levels. Each module starts with the fundamental concepts and gradually transitions into more advanced material.
What makes this course unique?
This course is specifically intended to teach students to develop web applications using the most efficient methods and the latest web technologies. Through live demonstrations we teach the importance of using scalable cloud hosting infrastructures during the development process. This includes small informational websites of only a few pages to advanced 'big data' style, dynamic web applications. We go through several live examples of web development and Linux based server configurations on popular Cloud hosting providers such as Linode.
Section 1 & 2 (Introduction, How the Internet Works)
The course begins with with an overview of learning objectives. We then explore how the internet works, including the composition and transmission of data packets over both local and wide-area Networks. Next we take a look at the HTTP and HTTPS protocols as applicable to client and server side communications - including DNS Lookups. This section will also teach students how email exchange works over SMTP and IMAP. The role of Network Ports and Firewalls are also introduced.
Section 3, 4: (The Web Development Process, Planning a Website)
Students will gain an understanding of all the steps involved in the web development process.
Section 5: Web Hosting and System Requirements
We conduct an in-depth case analysis of web hosting solutions including: Shared, Virtual Private, Dedicated and Cloud Hosting.
We provide an overview of various packages offered by different web hosting companies and weigh the pros and cons of each one.
Students are also introduced to the importance of web server scalability and the advantages of cloud hosting over traditional hosting services. We also examine the infrastructure requirements of popular, resource intensive applications such as Netflix and Facebook to emphasize the importance of avoiding costly mistakes in the initial stages of development.
Section 6: Domain Names
We provide an overview of the domain name registration process. This includes the role of registrars and TLD (Top Level Domain) administration by ICANN. ccTLD's (Country Code Top Level Domains) are also explored.
Students gain hands-on experience with the registration process using popular domain registrars. We provide a comparison of different registrars and register a sample domain name using GoDaddy. Other topics of discussion include: domain name privacy and administration, auto-renewal, domain forwarding, and name server assignment.
Section 7: Testing Environment
Students are introduced to configuring a local testing server on a PC or MAC system using WAMP (Windows) or MAMP (MAC). The lessons provide a detailed guide on installation of the packages and an overview of the interface.
Section 8: Production Environment
Students acquire the skills needed to optimally configure a live production environment for securely hosting web applications on a cloud server (Linode). The section starts with an overview of different cloud hosting providers such as Amazon Web Services, Microsoft Azure, Linode and Digital Ocean.
We then provide a live demonstration of server setup using Linode. This includes deployment of Ubuntu and installation of LAMP Stack (Linux) on the Linode Server using remote access consoles such as Terminal (MAC) and PuTTY for Windows.
Students gain an in-depth knowledge of server maintenance, file and directory commands. We also explore SSH Authentication for multiple users and file permissions to reduce security vulnerabilities. Remote Desktop connections for server administration are taught, using Tight VNC (Windows) and RealVNC (MAC).
A thorough overview of the Linode server management console is conducted, to show students how to scale servers, change root passwords, manage the DNS Zone file and create back-ups.
Section 9: FTP Setup
Students learn the role of an FTP (File Transfer Protocol) client to connect to a remote server, through a local machine. We provide a live demonstration on file upload using FileZilla and explore the FileZilla Interface for connection management.
Section 10: HTML Development
This section explores HTML. HTML is a key fundamental building block when learning to develop websites. Students initially learn the basics of HTML page structure and gradually transition into working with spacing, text formatting, lists, images, videos, links, anchors, tables, forms and much more. We include several projects, where students are shown first-hand, how to develop and code html web pages from scratch.
Section 11: CSS Development
Students learn to use CSS to create stylish, responsive web page layouts. We start by discussing the parts and types of CSS rules, followed by CSS classes, DIVS, and ID's. Students gain significant exposure to various formatting options, including margins, padding, font properties, backgrounds, transparency, positioning, link styling and CSS tables. This section includes a hands-on web development project where students utilize the concepts explored in the lesson.
Section 12: Document Object Model (DOM)
Section 14: JQuery Library
We explore the jQuery library and many of its unique features, used to create stunning, animated web pages. We start with the basics, from embedding jQuery into web pages to working with Selectors. Students then explore working with events, toggling, fading, sliding, and other forms of animation. The lessons also teach students how to work with callbacks, chaining, dragables, accordion menus and many other functions.
Section 15: Bootstrap Framework
Students are taught to use the Bootstrap framework for responsive, mobile-first - front-end development. As one of the leading open-source development libraries, Bootstrap is an essential part of the developers coding arsenal. The section begins with teaching students how to include essential Bootstrap files into web pages. It then explores the Bootstrap Grid system and popular layout strategies for optimal cross-device and cross-browser compatibility.
Students gain exposure to just about every Bootstrap component, from typography, tables and images, to jumbotrons, wells, alerts, buttons, glyphicons and progress bars. The section includes several hands-on exercises that will walk students through the process of creating stunning layouts, complete with modals, carousels, popovers, drop-down menus, forms and much more.
Section 16: PHP Development
Students gain exposure to creating dynamic web applications and functionality using PHP. We start with the basics, including variable declaration and data output. The lessons then transition into working with objects, conditional statements, loops, functions, arrays and form validation.
Section 17: MySQL Database Integration
Students learn to unleash the true power of web application development with MySQL database integration. We start with the basics from database and table creation, to user management. Next we explore the execution of commonly used SQL statements for database modification and administration. Students are also taught how to create database connections and execute SQL statements from PHP scripts.
Section 18, 19 (XML, AJAX, & Development)
We explore XML and AJAX integration to create dynamic content, without page refresh. The lessons cover several hands-on training exercises that will encompass many of the exciting functions AJAX offers. Students will build a website complete with database integration, registration forms with server-side validation, user authentication, and a SMTP-based contact submit form.
Section 20: Google Apps for Work
Students learn to create a customized business email address using Google Apps for Work. Email administration is also explored, along with alias creation. Less
A full stack developer is a web developer or engin... Moreeer who can develop both the front end and back end of a website or application.
They can tackle projects that involve databases, building user-facing websites, or even work with clients during the planning phase of projects.
Full stack web developers usually have some of the following front end and back end skill sets.
Front End Skills ( This is used to build the client software or application)
Back End Skills ( This is used to build the server software or application)
Python is a programming language. Python can be used on a server to create web applications.
Flask is a Python framework for building lightweight and dynamic web applications. It helps speed up tedious behind-the-scenes development work, such as URL mapping, and offers more control to the developer to build applications
Being a full-stack web developer equips you with the skill set to develop web based projects. You can prototype quickly and switch between front and back end development based on requirements.
Projects we will create:
Todo List Application
URL Shortner Application
Who this course is for:
Beginners to Web Development
Beginners to Python
Beginners to Flask Less
You're looking for a complete Artificial Neural Ne... Moretwork (ANN) course that teaches you everything you need to create a Neural Network model in R, right?
You've found the right Neural Networks course!
After completing this course you will be able to:
Identify the business problem which can be solved using Neural network Models.
Have a clear understanding of Advanced Neural network concepts such as Gradient Descent, forward and Backward Propagation etc.
Create Neural network models in R using Keras and Tensorflow libraries and analyze their results.
Confidently practice, discuss and understand Deep Learning concepts
How this course will help you?
A Verifiable Certificate of Completion is presented to all students who undertake this Neural networks course.
If you are a business Analyst or an executive, or a student who wants to learn and apply Deep learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the most advanced concepts of Neural networks and their implementation in R Studio without getting too Mathematical.
Why should you choose this course?
This course covers all the steps that one should take to create a predictive model using Neural Networks.
Most courses only focus on teaching how to run the analysis but we believe that having a strong theoretical understanding of the concepts enables us to create a good model . And after running the analysis, one should be able to judge how good the model is and interpret the results to actually be able to help the business.
What makes us qualified to teach you?
The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using Deep learning techniques and we have used our experience to include the practical aspects of data analysis in this course
We are also the creators of some of the most popular online courses - with over 250,000 enrollments and thousands of 5-star reviews like these ones:
This is very good, i love the fact the all explanation given can be understood by a layman - Joshua
Thank you Author for this wonderful course. You are the best and this course is worth any price. - Daisy
Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.
Download Practice files, take Practice test, and complete Assignments
With each lecture, there are class notes attached for you to follow along. You can also take practice test to check your understanding of concepts. There is a final practical assignment for you to practically implement your learning.
What is covered in this course?
This course teaches you all the steps of creating a Neural network based model i.e. a Deep Learning model, to solve business problems.
Below are the course contents of this course on ANN:
Part 1 - Setting up R studio and R Crash course
This part gets you started with R.
This section will help you set up the R and R studio on your system and it'll teach you how to perform some basic operations in R.
Part 2 - Theoretical Concepts
This part will give you a solid understanding of concepts involved in Neural Networks.
In this section you will learn about the single cells or Perceptrons and how Perceptrons are stacked to create a network architecture. Once architecture is set, we understand the Gradient descent algorithm to find the minima of a function and learn how this is used to optimize our network model.
Part 3 - Creating Regression and Classification ANN model in R
In this part you will learn how to create ANN models in R Studio.
We will start this section by creating an ANN model using Sequential API to solve a classification problem. We learn how to define network architecture, configure the model and train the model. Then we evaluate the performance of our trained model and use it to predict on new data. We also solve a regression problem in which we try to predict house prices in a location. We will also cover how to create complex ANN architectures using functional API. Lastly we learn how to save and restore models.
We also understand the importance of libraries such as Keras and TensorFlow in this part.
Part 4 - Data Preprocessing
In this part you will learn what actions you need to take to prepare Data for the analysis, these steps are very important for creating a meaningful.
In this section, we will start with the basic theory of decision tree then we cover data pre-processing topics like missing value imputation, variable transformation and Test-Train split.
Part 5 - Classic ML technique - Linear Regression
This section starts with simple linear regression and then covers multiple linear regression.
We have covered the basic theory behind each concept without getting too mathematical about it so that you
understand where the concept is coming from and how it is important. But even if you don't understand
it, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures.
We also look at how to quantify models accuracy, what is the meaning of F statistic, how categorical variables in the independent variables dataset are interpreted in the results and how do we finally interpret the result to find out the answer to a business problem.
By the end of this course, your confidence in creating a Neural Network model in R will soar. You'll have a thorough understanding of how to use ANN to create predictive models and solve business problems.
Go ahead and click the enroll button, and I'll see you in lesson 1!
Below are some popular FAQs of students who want to start their Deep learning journey-
Why use R for Deep Learning?
Understanding R is one of the valuable skills needed for a career in Machine Learning. Below are some reasons why you should learn Deep learning in R
1. It’s a popular language for Machine Learning at top tech firms. Almost all of them hire data scientists who use R. Facebook, for example, uses R to do behavioral analysis with user post data. Google uses R to assess ad effectiveness and make economic forecasts. And by the way, it’s not just tech firms: R is in use at analysis and consulting firms, banks and other financial institutions, academic institutions and research labs, and pretty much everywhere else data needs analyzing and visualizing.
2. Learning the data science basics is arguably easier in R. R has a big advantage: it was designed specifically with data manipulation and analysis in mind.
3. Amazing packages that make your life easier. Because R was designed with statistical analysis in mind, it has a fantastic ecosystem of packages and other resources that are great for data science.
4. Robust, growing community of data scientists and statisticians. As the field of data science has exploded, R has exploded with it, becoming one of the fastest-growing languages in the world (as measured by StackOverflow). That means it’s easy to find answers to questions and community guidance as you work your way through projects in R.
5. Put another tool in your toolkit. No one language is going to be the right tool for every job. Adding R to your repertoire will make some projects easier – and of course, it’ll also make you a more flexible and marketable employee when you’re looking for jobs in data science.
What is the difference between Data Mining, Machine Learning, and Deep Learning?
Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledge—and further automatically applies that information to data, decision-making, and actions.
Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning.
Who this course is for:
People pursuing a career in data science
Working Professionals beginning their Neural Network journey
Statisticians needing more practical experience
Anyone curious to master ANN from Beginner level in short span of time Less
PHP levels up! The world’s favorite back-end pro... Moregramming language now gets a new version packed with new features and significant upgrades.
PHP is touted as the de facto language for server-side scripting in app development and even websites. The popularity of the language has also made it extremely useful as a general-purpose programming language.
The latest version gets a huge boost in terms of performance, speed, new scalar type declarations and even a new operator. The performance and speed boost comes from the new turbocharged Zend Engine 3, which also allows PHP7 to consume half as much as memory as PHP5 and support more component users at the same time.
In addition the new engine, other changes to PHP7 include replacing fatal- or recoverable-level legacy PHP error mechanisms with object-oriented exceptions, inclusion of left-hand-side expressions, unmaintained or deprecated server application programming interfaces (SAPIs) were removed, list() operator now includes support for strings, new language features such as return type declarations for functions, and support for the scalar types in return type and parameter declarations.
With so much power under the hood, it is no wonder a lot of developers are shifting to PHP7. With this course, you too can learn how to supercharge your apps and websites.
Our complete PHP 7 guide is the perfect course to get you started with the amazing features included into the already powerful programming language. It comes loaded with everything you need to know to upgrade to the fancy new iteration.
The course will cover not only the fundamentals of PHP 5, but will also familiarize you with the new features and changes in PHP 7. These new additions may not seem like much, but they will improve your coding by four fold, especially ones such as unserialise function (which will accept another optional parameter) and password hash function (that now automatically generates a secure salt, rather than accept a given salt).
The PHP 7 tutorial also includes breaking down features such as the new spaceship operator, Throwable Interface, Handling Fatal Errors, Generator Delegation, Anonymous Classes, Fetching Data & Error Handling and so much more. That’s not all. Some sections even includes quizzes to help you test your understanding and a project that will allow you to become comfortable coding in PHP 7.
In this course, you will learn:
Introduction to PHP, its fundamentals and its environment
What is new in PHP 7 and how it differs from PHP 5
New features such as spaceship operators, error handling, new declarations, new classes, new functions, etc.
Fully design a GoodQuotes app project that will allow you to add, edit and remove data Less
This comprehensive course will be your guide to le... Morearning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!
Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!
This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!
This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost!
Enroll in the course and become a data scientist today! Less
In this course, you will learn how to automate you... Morer legal documents using Documate. The McKinsey Global Institute found that 23% of a lawyer's job can be automated. Legal documents can be tedious and repetitive. However, with the right approach, you can automate the creation of legal documents.
Documate is one of the most powerful technologies to improve your legal practice. Attorneys that embrace document automation will enjoy tremendous benefits resulting from their new competitive advantage.
Get started automating your documents! Less
Learn Network Programmability and Network Automati... Moreon using GNS3 and Python version 3.
This course is based on Python 3.
Want to program networks using Python, but not sure where to start? Well, this course will show you how you can start programming Cisco networks within 20 minutes.
This course was created for network engineers. There are too many other Python courses out there that try to make network engineers software developers. Instead of teaching network automation, they teach you Python theory. This course is different.
This course is practical. I won't talk about programming in abstract terms and make you wait before you can start automating networks. I will show you how you can quickly and easily start network programming by using GNS3, Cisco IOS and Python.
You will see demonstrations of the configuration of both Cisco routers and switches in GNS3. For example, how to configure multiple VLANs on a multiple switches, or how to configure OSPF on a router and more.
This course shows you practical examples of using Python to programmatically configure Cisco network devices rather then just talking about it.
The days of configuring Cisco networks only with the command line interface (CLI) are drawing to a close. You need to add network programmability using Python and APIs to your skill set.
Learn how to automate networks using:
Tools such as NAPALM and Netmiko make it easy to configure and interact with network devices using an API such as NETCONF or using SSH. Don't reinvent the wheel. Use the tools available to you to quickly and easily automate your networks.
Some comments about the course:
"Knowing the material from just the first video would have saved me hours of work and rework in the past."
"It's the easiest, most fun, and most valuable course I've completed yet on Python Programming for Networking. Love it! Thanks again David!!!"
"Excellent course on Network Programming using Python with lot's of practical network configuration examples."
"Great way of explanation.Nice video and inspiring words! Thank you so much David. You are genius."
"I've been doing network automation for a while, even so, I've learned new things through this course. The instructor start from a basic example, adding improvements in each step. It's a skill that's worth it."
"A must for all network engineers who want to learn python!!! I had very "very" basic programming skills, and couldn't just get the bridge between network and programming (mainly Python - since that's where the hype is now), this course was amazing, I have never been glued to a training course since I can remember. The couple of things I loved the most about this course: 1- David's clear voice. 2- Real world application, not only will David interduce different real-world practical modules that you can import and use, but he shows you how to apply them on ios devices."
"Excellent course on Network Programming using Python with lot's of practical network configuration examples. High quality content." Less
Web development basics with HTML
Cascading Style Sheets (CSS)
We will work on 3 class projects throughout this course:
Simple text site - We will use what we learned in the HTML sections to create a simple text site. This project will help you learn HTML structure and the essential elements.
Fallout inspired Pip-Boy - We will take what we learned in the CSS and Bootstrap sections of the course to code a Pip-Boy from the game Fallout. This project will help you learn the design elements of modern web development.
This course covers the most popular web development frameworks, and will get you started on your path towards becoming a full-stack web developer!
Still not sold? Check out a few of the awesome reviews this course has received!
"Excellent Course! Highly Recommend It! Such a great hands on experience with this course."
"Very nice course, covers all the stuff you need, good voice and good explanation makes it perfect for people that are new to HTML. Also there's some best practices recommendations which are useful even for advanced developers."
"Excellence in giving the optimal set of tools for web development beginners seeking a well-rounded start for professional web development."
Thank you for taking the time to read this, and we hope to see you in the course!
Who this course is for:
Anyone who would like to learn front-end web development Less
Learn the most important Skill of 2020, Graphic de... Moresign in Figma in just an Hour!
Taught by a Professional Web Designer who has his own multiple startups.
Figma is the best tool to start your design career and fill your Passion for design.
With it you can do UI UX Design, Graphical User Interface, Web Design, Wireframe, User Interface, Icon, Logo design, Graphic Design all in Figma!
It is simple to use, is portable, ultra-light, and has amazing features to give your creativity wings!
You will know why Figma is much better than other Softwares and why you should be using it to help you become a better designer, SO you keep designing and leave the worries to Figma! Less
This course starts from scratch, you neither need to know any pre-requisite programming knowledge nor any language expertise.
Having a deep-dive of the concepts in this course, you'll learn all about:
Patterns To Create Objects
Debugging in Chrome
Shopping Cart Project: Putting All Together
ES6: Features with their Syntax
Iterators & Generators
Maps & Sets
Extensions of Built-in Objects
ES7: New Features
ES8: New Features
ES9: New Features
World Weather Project: Putting All Together
Course Roundup and many more...
This course will assist:
Inclining towards the learning/ understanding of any client/ server side programming language.
Open Source Language: Freely Available.
Much more than Scripting programming language.
Scalability and Performance Features.
Evolving steadily & ES6 represents the BEST !!!
Base of most of the frameworks like Angular.
Supported by a broad coalition of companies.
Who this course is for:
Understand the basics to move head with the popular libraries/frameworks like jQuery, React, Angular or NodeJS.
The Ionic Framework is supported on a variety of m... Moreobile (and desktop) platforms. In this course, you will learn how to go from no code to your very own application ready for sale on the Apple App Store and Google Play Store.
Unlike many courses that spend a lot of time on background, this course will be fast-paced, with a minimum of fuss and fluff. It's all hands-on.
I don't expect you to be an expert in React, but you should grasp the basics of JSX, component architecture, state, and hooks. Other concepts will be explained as needed, as close to their use as I can get.
By the time you complete the course, you should have the confidence you need to create and deploy your own mobile app UI for iOS or Android.
It'll be a fast ride, so enroll now and hang on.
Who this course is for:
Any developer wanting to publish mobile applications with technology they already know and love. Less
Welcome to Learn C# and make a videogame with Unit... Morey 2020 : beginner to pro.
If you are here, it is probably because you like video games and want to learn how to make your own video games. In addition, it is likely that you know how to draw pictures, design your own characters, your enemies, animations, scenarios, have thought out game mechanics, ... but you lack one thing: KNOW HOW TO PROGRAM!
You don't have to be ashamed. I myself did not create my first video game until I was 23 years old and since then, I had been studying mathematics. No one is born taught and that is why we are here: so that you can learn to make your own video game in Unity with the C# (c sharp) programming language, a simple language that is easy to learn, and that will give you many possibilities to expand your knowledge.
In this course, we will start with the basics and fundamentals: programming. Programming is like the language of computers. Right now you and I communicate in a common language: English, which we both understand perfectly and that is why we can be exchanging information: I write and you read. Probably if I were writing this to you in French or German, then you wouldn't even understand what I am telling you, not because it is easier or more difficult, but because I would be using a different language. Computers and mobile devices themselves have their own language, their jargon, their slang. That is where we will begin our learning path together, young Padawan: by learning what a program is, how it manages to communicate with the graphic part, and how we, by pressing an arrow or a button, can make the computer understand what we want to say . We are going to learn together basic programming aspects such as:
• Variables and data types
• Methods or code snippets
• Object and object-oriented programming
• Decision operators
• Collections, arrays, and object lists
• The iteration operators
With all this, it will be like the cook who leaves the academy and has been taught to peel, cut, cook, boil, season, season ... food. But even if we know how to fry an egg, we all know that fried eggs made by us, by our mothers, or by our grandmothers do not taste the same. Therefore, once we know the tools and basic principles of programming, we will put them into practice with a real project, our first 2D video game: a 2D platform where the objective will be to dodge enemies while collecting the maximum number of coins. It will be a simple video game but we will see its true potential in everything that can really be done from what we know:
• We will learn how to plan the Game Design and to split up the development stages of our video game
• We will learn what a prefab is and how they are used to create scenes for a video game
• We will create our own menus and the game information HUD
• We will learn typical mechanics and gameplay such as infinite scrolling or the physics of a video game
And really with all this, believe it or not, you will have made your first video game !!! I would also like you to introduce yourself when you start, say where you come from and what knowledge of video game development you have, and share in the course's forum what type of video game you would like to make. Please refrain from impossibilities like "I want to make a Dark Souls, a Witcher, a Metal Gear" and so on. These games have studies of more than 400 expert developers and we are looking to get started. The goal is for you to make your first video game, and as such, it should be an achievable and easy goal to carry out so you don't get discouraged.
Well, I've already warmed up and I'm looking forward to learning C # together and starting to create our videogame in Unity. So don't think twice and sign up now to start your career as a video game developer with Unity 2020 and C #. Less
What Is Included In This Course?
· Learn how t... Moreo make a PC game with GMS2
· Learn how to program games using GML (Gamemaker Language)
· Be trained by a serial entrepreneur who does this for a living!
This course does not cover animation or sound, we are focussing primarily on game maker language programming and teaching you pieces of code that you can then take and convert for use in your own games.
Here’s what some of my students have to say about my other courses:
"Lee ably shares a step-by-step means of becoming a profitable book publisher using Amazon KDP"
"Very helpful course, thanks Lee! Will be looking out for any follow-up courses Lee puts out to help us publishers become more profitable."
"Found it very useful as someone with almost no idea about how Kindle publishing works. The instructor is quite straightforward with not just information but also his own experiences and expertise"
"Straightforward, action-based and no BS (something hard to find in "make money online" courses these days lol)"
· 2020 course!. no outdated content!
· Get a demonstration of how to get started with game design Less
Join the most comprehensive Flutter & Deep Lea... Morerning course on Udemy and learn how to build amazing state-of-the-art Deep Learning applications!
Do you want to learn about State-of-the-art Deep Learning algorithms and how to apply them to IOS/Android apps? Then this course is exactly for you! You will learn how to apply various State-of-the-art Deep Learning algorithms such as GAN's, CNN's, & Natural Language Processing. In this course, we will build 6 Deep Learning apps that will demonstrate the tools and skills used in order to build scalable, State-of-the-Art Deep Learning Flutter applications!
After completing this course you will be able to:
Learn the tools and skills to develop any AI idea you have onto a mobile phone.
Have a clear understanding of different types of Neural Networks and how you can use them to your advantage.
Build any Neural Networks in Python and then export them into your Flutter application.
Use different strategies to get neural networks with 90%+ accuracy.
Why should you choose this course?
This course covers all the steps that one should take to create a Flutter application that uses State-of-the-Art Deep Learning approaches.
It is extremely hard to find good tutorials that teach you how to implement these algorithms, so the instructor, Samuel Boylan-Sajous, who has been programming for years, and has a Computer Science degree at the University of Guelph, has decided to share all of his knowledge with other students that are passionate about Deep Learning and building practical A.I. applications.
Here's what's included in the course:
Building a neural network on Teachable Machine and exporting it into Flutter project
Building a neural network in Keras/Python on Google Collab/Jupyter Notebook and exporting it into Flutter project
Using API's to perform some Natural Language Processing and implementing those algorithms into our app.
Build a GAN in python and implement it into your flutter application.
And much more!
This course is for you if ...
You're interested in building real native mobile apps for the two most popular mobile platforms - iOS and Android
You're passionate about Deep Learning/AI or Mobile Development and want to expand your knowledge.
You want to expand your Deep Learning/AI portfolio with 6 Cutting Edge Deep Learning apps!
Want to learn State-of-the-Art Deep Learning algorithms and how you can use them on a mobile device!
Knowing mobile development will help a lot but is not a hard requirement (You would be fine if you only knew CSS/HTML & Object-Oriented Programming, just do some research on what Flutter is)
Know some theory behind Neural Networks (Know how data is processed in a Neural Network)
Teaching our students is our job and we are committed to it. If you have any questions about the course content or anything related to any topic, you can always post a question in the course or send us a direct message. Less