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Englische Tutorials

Curso completo de Inteligencia Artificial con Python

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Curso completo de Inteligencia Artificial con Python
Created by Juan Gabriel Gomila Salas | Video: h264, 1280x720 | Audio: AAC 48KHz 2ch | Duration: 29:22 H/M | Lec: 149 | 20.4 GB | Language: English | Sub: English [Auto-generated]

Combina el poder de los datos, Reinforcement Learning, Q-Learning y Deep Learning para crear IA en contextos reales

What you'll learn
Entender los conceptos de la inteligencia artificial modernos así como del Deep Learning y el Q-Learning
Construir sus propias inteligencias artificiales

Requirements
Conocimientos básicos de matemáticas, sobretodo de estadística y de álgebra lineal
Conocimientos básicos del lenguaje de programación Python

Description
Bienvenido Curso completo de Inteligencia Artificial de cero a experto, donde aprenderás conceptos claves del mundo de la IAy el aprendizaje automatizado tanto desde el punto de visto teórico como implementaciones prácticas con Python, en particular cubriremos aspectos como

Introducción a la inteligencia artificial, con todos los conocimientos y terminología del sector.

Construir tu primera IA sin experiencia previa de programación usando Python utilizando la ecuación de Bellman.

Cómo combinar la inteligencia artificial con videojuegos con OpenAI Gym para aprender de forma efectiva.

Técnicas de optimización de IA para alcanzar soluciones com máximo potencial en contextos reales.

Redes neuronales desde el perceptrón simple hasta las redes neuronales de convolución para hacer que nuestro agente aprenda a jugar a la Atari clásica mirando la pantalla como lo haría un ser humano

Toda la teoría explicada con transparencias, incluido Q-Learning, ecuación de Bellman, Redes Neuronales Artificiales y de Convolución, Entropía Cruzada o la función Softmax entre otras.

Papers de referencia de toda la teoría para que complementes la formación del curso con los mismos papers de donde sale toda la parte teórica (ideal para los que están trabajando en el campo de la IA o escribiendo su propia tesis doctoral, pues hay muchas referencias en más de 30 artículos web diferentes).

Y mucho más que trae el curso para que aprendas no solo los aspectos sencillos si no también todos los entresijos más avanzados del mundo de la inteligencia artificial con Python.

Y todo ello acompañado de lo mejor que tienen los cursos de Juan Gabriel Gomila:

Soporte personalizado para todas las dudas del curso incluyendo un foro del curso donde intentaré responderte antes de 48 horas a tus dudas y una comunidad de Discord con miles de estudiantes que aprenden online conmigo.

Ejemplos amenos y enfocados a que los conceptos teóricos te queden super claros y sin dudas intermedias

Aprende desde cero acerca del mundo de la IA - ya que aprenderás desde un lienzo en blanco e iremos construyendo las ecuaciones necesarias acerca del mundo del aprendizaje por refuerzo y las redes neuronales paso a paso.

Todo el código fuente en Python - Si te quedas atascado solo tienes que ir a Github y descargar el material que no te funcione.

Algoritmos que se usan en el mundo real - No haremos un único algoritmo, si no diversos ejemplos con soluciones diversas y de dificultad y estructura de información creciente para que no solo memorices una receta de cocina, si no que adquieras todo lo necesario para poner en producción tus propios algoritmos.

Garantía de devolución de 30 días por si no te gusta el curso. Por si lo encuentras demasiado fácil o no es algo que te entusiasme esto de la inteligencia artificial.

Who this course is for?
El principiante que quiera iniciarse en el mundo de la Inteligencia Artificial
Alumnos de ingeniería que quieran profundizar en el mundo del Q-Learning y el Deep Learning

Homepage

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Curso completo de Estadística descriptiva - RStudio y Python

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Curso completo de Estadística descriptiva - RStudio y Python
BESTSELLER | Created by Juan Gabriel Gomila Salas, María Santos | Video: h264, 1280x720 | Audio: AAC 48KHz 2ch | Duration: 43:04 H/M | Lec: 180 | 20.1 GB | Language: Spanish | Sub: Spanish [Auto-generated]

Vamos a ver las bases de R y Python, desde cero y sin experiencia previa aplicada al mundo del análisis y estadística

What you'll learn
Estadística descriptiva incluyendo el cálculo de estadísticos básicos o la elaboración de gráficos que ayudan a visualizar la información de los datos
A utilizar R como herramienta básica de estadística y operaciones numéricas
Técnicas del mundo de la estadística para luego seguir formándose con otros cursos de Big Data, Machine Learning, Data Science o Inteligencia Artificial
Complementar la herramienta RStudio con ejemplos de Python para ser todo un genio en el análisis de datos estadísticos

Requirements
Este curso no presenta ningún requisito ya que todos los conocimientos que se imparten en el empiezan desde cero
Tener un ordenador con cualquier sistema operativo instalado ya que todo lo que se aprenderá en el curso se aplicará de forma práctica con algoritmos programados en R

Description
Conoce toda la estadística descriptiva de la mano de Juan Gabriel Gomila y María Santos. Asienta las bases para convertirte en el Data Scientist del futuro con todo el contenido del curso. En particular verás los mismos contenidos que explicamos en primero de carrera a matemáticos, ingenieros o informáticos como por ejemplo:

Logística e instalación de R y RStudio y de Anaconda Navigator para Python

Cómo usar R y Python como si fuese una calculadora científica (incluyendo un repaso de funciones, trigonometría y combinatoria)

Introducción a la programación funcional con R desde cero (ideal para seguir tomando a posteriori cursos de análisis de datos).

Uso de gráficos para representar datos estadísticos incluyendo plots de nubes de puntos, histogramas, diagramas circulares o diagramas de caja y bigotes entre otros. Además tendrás ejemplos tanto en R como con matplotlib de Python.

Introducción a las técnicas de machine learning como por ejemplo la regresión lineal.

Profundización en tipos de datos cualitativos, cuantitativos y ordinales y el correcto análisis de cada uno de ellos.

Introducción a la probabilidad, empezando desde lo más básico, pasando por variables aleatorias hasta llegar a tratar las distribuciones de probabilidad más conocidas (tanto discretas como continuas)

Comprende los estadísticos más relevantes de una distribución, como por ejemplo la media, varianza así como sesgo y curtosis. Y aprende a calcularlos tanto con R como con Python.

Repositorio Github con todo el material del curso para disponer de los mismos scripts que usamos en clase desde el minuto inicial.

Una vez termines el curso podrás seguir con los mejores cursos de análisis de datos publicados por Juan Gabriel Gomila como los cursos de Machine Learning o Inteligencia Artificial con Python o RStudio o el Curso de Data Science con Tidyverse y RStudio. Todo el material del curso está enfocado en resolver los problemas de falta de base que presentan los estudiantes de esos cursos avanzados y poderlo hacer en un curso a parte te permitirá nivelar tus conocimientos y tomar los otros cursos con garantías de éxito.

Who this course is for?
Estudiantes de ingenierías, matemáticas, informática o telecomunicaciones que quieran complementar sus asignaturas de estadística o inferencia con material adicional, ejemplos, ejercicios o casos prácticos.
Desarrolladores que quieran empezar a utilizar R y RStudio por primera vez
Futuros estudiantes de cursos de Machine Learning, Inteligencia Artificial, Data Science o futuros doctorandos para tener una base sólida de estadística, programación y análisis descriptivos de los datos.
Desarrolladores que quieran conocer Python como herramienta para el análisis de datos

Homepage

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Basis Kochen - Selber kochen statt Fastfood

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Basis Kochen - Selber kochen statt Fastfood
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 48000 Hz, 2ch | 5.6 GB
Duration: 4 hours | Genre: eLearning Video | Language: Deutsch

Ohne vorherige Kochkenntnisse schmackhafte Gerichte zaubern



What you'll learn

Dieser Online Basis Kochkurs zeigt Ihnen, wie Sie ohne Vorkenntnisse superleckere und gesunde Gerichte zubereiten können.
Sie lernen die 15 Garmethoden kennen, auf denen alle Gerichte aufgebaut sind.
Dieser Kurs lässt Ihnen kreative Freiheit. Sie bekommen keine Konzepte übergestülpt, sondern können Ihrer Fantasie beim Nachkochen freien Lauf lassen.
Am Ende des Kurses werden Sie genau was Sie tun müssen, damit jedes Gericht zu einem wahren Genuss wird. Ihre Familie und Freunde werden Sie dafür lieben.

Requirements

Sie brauchen eine Grundausstattung gewisser Küchenutensilien. Oder auch das ein oder andere spezielle Küchengerät.
Und damit Sie nur solche Teile kaufen, die ihren Preis auch Wert sind nennen wir Ihnen ausgesuchte Bezugsquellen.

Description

Küchenbasics komplett:

Sie lernen die 15 verschiedenen Garmethoden kennen, denn diese bilden das Fundament beim Kochen. Sie lernen schnell und können anhand der Anleitungen sowohl einfache Rezepte wie auch komplizierte Gerichte problemlos nachkochen.

Geheime exklusive Facebook Gruppe:

In unserer geheimen Facebook-Gruppe können Sie die Fragen stellen, die sich eventuell noch ergeben. Wir werden diese beantworten und wenn nötig zusätzlich mit Videos oder Bildern erläutern - sozusagen Life Support.

Einkaufslisten:

Sie bekommen Einkaufslisten in PDF-Form und als Audio-Einkaufslisten, um bequem beim Einkaufen nicht mehr lesen zu müssen, sondern einfach zu hören, was für das jeweilige Gericht an Zutaten notwendig ist.

Rezepte anschaulich per Videos:

Kochen kann so einfach sein. Vor allem wenn man Schritt für Schritt erklärt bekommt, wie es geht und gleichzeitig das Ergebnis sieht und regelrecht sein Ergebnis riechen und schmecken kann. Beim Anschauen der Videos läuft Ihnen garantiert das Wasser im Munde zusammen. Weiter zeigen wir Ihnen Küchen-Tipps und -Tricks, die sonst nur in Insider-kreisen bekannt sind. Die Rezepte funktionieren nicht nur in einer Profiküche, sondern vor allem zu Hause. Sämtliche Rezepte sind praxiserprobt.

Bilder:

Bilder zum Unterstreichen und besseren Veranschaulichen runden den Kochkurs ab. Fangen Sie jetzt sofort an, gesunde und leckere Gerichte zu kochen!

Und das (noch) zum genialen Einsteigerpreis. (Auch hier gilt: Wer zu spät kommt.)

Who this course is for:

Dieser Kurs ist sehr gut für Anfänger geeignet, spricht aber auch Hobbyköche mit etwas Erfahrung an, die ihr Wissen auffrischen möchten.

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Master en machine learning y redes neuronales ¡trailer aqui!

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MASTER EN MACHINE LEARNING Y REDES NEURONALES ¡TRAILER AQUI!
Created by Pablo Sanz | Video: h264, 1280x720 | Audio: AAC 48KHz 2ch | Duration: 17:28 H/M | Lec: 121 | 8.41 GB | Language: Spanish | Sub: Spanish [Auto-generated]

¿Te Cuesta Machine Learning? Aprende con nuestro curso YA! Juntos aprenderemos varios Proyectos con Python desde cero.

What you'll learn
Entenderas el funcionamiento de sistemas de machine learning
Aprenderas el funcionamiento de distintos algoritmos de ML Regresiones, Clasificaciones etc
Redes Neuronales, vale la pena indicarlas en un punto aparte. No solo veremos la teoría de funcionamiento, las aplicaremos en python, de una manera y con unos casos prácticos que estamos seguros te dejaran fascinado!
Bases de Python
Numpy (Arrays multidimensionales en Python)
Pandas (Tablas indexadas en Python)
Visualización de datos (data science)
Limpieza de datos (data science)
Mucha, mucha, pero mucha práctica y código.

Requirements
Si! Claro que hay requisitos... Ganas y un ordenador. ¿Matemática? ¿Sabes multiplicar, dividir, sumar o restar? Entonces ven!

Description
Estamos convencidos, que el Machine Learning es una fascinante tarea que cualquier persona tendría que dominar.

No vamos a permitir que ninguna fórmula, ningún cálculo matemático exótico te deje afuera de este invaluable recurso.

Por eso hemos decidimos crear....

Machine Learning Masterclass

En este curso recorreremos en primer lugar, todos los requerimientos necesarios para poder encarar esta moderna herramienta, el aprendizaje automático

¿No dominas python?

No te preocupes, hemos decidido incorporar un curso compacto, simple y acelerado de Python desde 0

Otras herramientas que veremos serán

Numpy

Pandas

Técnicas de visualización

Limpieza de datos

Habiendo alcanzado estos objetivos, empezaremos con Las bases del machine learning.

Completando tareas como:

Regresiones

Clasificaciones

Agrupaciones

Y AHORA SI... REDES NEURONALES!

El área del machine learning más demandado en estos tiempos.

Te enseñaremos las bases, cómo funcionan, cómo trabajan, para qué las podemos usar.

Claro no nos quedaremos sólo con la teoría...

Las pondremos en práctica a puro python!

Pero no solo desde el punto de vista del experto en Machine learning, sino que también desde el punto de vista del emprendedor.

Veremos paso a paso, como implementar una web, a la que le podemos brindar imágenes para que por detrás una red neuronal reconozca el objeto que le estamos pasando!

Y mucho mas!

Who this course is for?
Cualquiera con ganas de introducirse en el fascinante mundo del Machine Learning o Data Science
¿Has intentado tomar un curso similar, y la matemática o las fórmulas complicadas te han dejado fuera? Psss este es tu curso...

Homepage

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Digital Portrait: From Sketch to Final 7+ hours NO Time-Lapse

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Digital Portrait: From Sketch to Final 7+ hours NO Time-Lapse
Video: .MP4, 1920x1080, 24fps | Audio: AAC, 48 kHz, 2ch | Duration: 7h 19m
Genre: eLearning | Language: English | Size: 5.23 GB

Don't just view the course, DO the course. Sketch and paint in real time, no time-lapse at any moment during the course.
This complete course takes you through a Digital Portrait Painting from beginning to end. Everything you will need to know in order to kick-start the learning process with step by step, fully narrated, real-time instructions.
Follow me at your own pace as I explain IN-DEPTH methods for drawing and digitally painting a female portrait.
I will highlight my mistakes along the way, my breakthroughs and how to overcome the hurdles you will face. I supply the reference photo and you follow along, it's as easy as that.
At the end of the course you will have a solid foundation in portraiture.
In this tutorial I use Photoshop, although any digital painting program will suffice. You will need a drawing tablet for this course. These can be purchased rather inexpensively and are a great investment.
So join me, Jorge Jaramillo in a step by step and super-easy to follow painting process. Follow my channel for weekly or monthly uploads, classes and new courses.

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Female Anatomy Sculpting in Zbrush

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Female Anatomy Sculpting in Zbrush
Video: .MP4, 1920x1080, 30 fps | Audio: AAC, 44.1kHz, 2ch | Duration: 1d 14h 41m
Genre: eLearning | Language: English | Size: 23.4 GB

WELCOME :
Do you struggle with human anatomy specifically with Female anatomy ?
Do you always want to make your human character model look more realistic with proper anatomy ?
Did you always wanted a detailed female anatomy tutorial which covers everything from skeleton system sculpting to individual muscle sculpting to final character with fat and skin ?
Then this course is the right fit for you
Welcome to Nexttut education's "Female anatomy sculpting in Zbrush" course
INSTRUCTOR :
My name is Muhammad and I will be your instructor for this tutorial. I am a freelance 3D artist working in the video game industry. In the past, I have worked at company such as Hasbro, where I work as a digital sculptor. I have also worked at EA Sports as a character artist. I have also earn a masters degree in game development at Savannah college of arts and design.
GOAL OF THE COURSE :
By the end of this course, you will be able learn in-depth about the female anatomy by sculpting the skeleton system, the muscle system and the final female figure of your own for your portfolio. Everything from scratch in real-time.
YOU WILL LEARN :
Female Skeleton System Sculpting
Female Muscle System Sculpting
Head Anatomy
Torso Anatomy
Hand Anatomy
Leg Anatomy
Making a complete girl model using the anatomy knowledge
Poly painting the muscles
Rendering

In the first few tutorials, we will spend time blocking out our reference mesh for our anatomy figure.
After that, we will dive in-depth from scratch into the head anatomy by sculpting the skull. We will spend most of our time after that studying reference and build every piece of muscles in the human body.
From there, we will move down and study in details of the torso anatomy, arm anatomy, and the legs anatomy.
At the end, we will wrap up the anatomy and sculpt the female figure . We will polish our sculpt in details and finish it with some nice lighting, pose and render it out as a portfolio piece.
IDEAL STUDENTS :
This course is designed for intermediate Zbrush users who are looking to improve their anatomy sculpting skills.
Basics knowledge of Zbrush is required to follow along the tutorial.
I'm really excited for this course and I will see you then

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2020 Complete Public Speaking Masterclass For Every Occasion

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2020 Complete Public Speaking Masterclass For Every Occasion
BESTSELLER | Video: h264, 1280x720 | Audio: AAC 48KHz 2ch | Duration: 29:27 H/M | lec: 551 | 20.8 GB | Language: English | Sub: English | $199

TJ Walker's Incredibly Thorough and Comprehensive Public Speaking Course for Every Situation, Audience and Skill Level

What you'll learn
Look comfortable, confident and relaxed in any speaking situation
Speak in a clear and understandable manner
Speak in a memorable way (this is the hardest for most people)
Influence your audience
Know exactly what to do when speaking to any size audience on any occasion in any format

Requirements
A willingness to speak out loud and not simply read or watch videos about speaking
A willingness to try things outside of your comfort zone in order to learn new speaking skills

Description
Facts about this course Public Speaking Course

*This is the Udemy Best-Selling course for Public Speaking

*Highest Rated Udemy Public Speaking course

*More lectures (550) than any other Public speaking course

*More comprehensive content than any other public speaking course (nearly twice as long-29.5 hours!-as any other Udemy Public speaking course)

Message from the instructor:

"I put every ounce of experience and insight I've learned from 30 years of conducting public speaking training courses all over the world into this course. Rather than give you slick ad copy on this description page, I thought I'd just turn things over to the Udemy Students who have taken this course. Please see what they have to say about why this is the best selling and most highly rated public speaking course and then decide if this is the right course for you." TJ Walker

Who this course is for?
People who want to improve their speaking skills, no matter their current speaking abilities
Beginning speakers who want to become competent at speaking
Intermediate speakers who want to become Advanced speakers
Advanced speakers who want to become world class speakers
Anyone who wants access to the world's largest and most comprehensive online course on public speaking

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Unreal Essential Training (2019)

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Unreal Essential Training (2019)
MP4 | Video: AVC, 1280x720 30 fps | Audio: AAC, 48 KHz, 2 Ch | Duration: 2h 47m
Skill Level: Beginner | Genre: eLearning | Language: English + Subtitles | Size: 6.2 GB

Unreal isn't just for gaming anymore. Industries such as automotive design, architecture, healthcare, and education are embracing the real-time development tools for creating engaging and interactive visuals. Unreal Engine can power it all. In this course, Simon Manning teaches the essential skills you need to build immersive user experiences of all kinds with Unreal Engine 4, including lighting, effects, and visual scripting. He covers creating your first project, building a base landscape, blocking out levels, and importing assets for use in the design. Want to find out how to craft a unique look? Learn about working with materials, post-processing effects, and particle systems in Unreal. Plus, find out how to optimize the performance for your projects and package projects for distribution.

Topics include:

Exploring the interface and tools
Customizing the Unreal interface
Starting a new blank project
Blocking out the scene
Importing content
Placing and manipulating actors
Optimizing meshes
Lighting a scene
Working with materials
Adding interactivity
Adding post-processing effects
Adding foliage and particle effects
Creating cinematics
Packaging a game for distribution

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LevelUp Digital - Sculpting & Texturing Harley Quinn

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LevelUp Digital - Sculpting & Texturing Harley Quinn
Video: .MP4, 1916x972 60 fps | Audio: AAC, 48 kHz, 2ch | Duration: 7h
Genre: eLearning | Language: English | Size: 8.48 GB

Learn character creation from a pro. Rosa Lee, whose work has been featured in multiple AAA titles, has teamed up with Levelup.Digital to share her workflow for creating a Harley Quinn character.

Follow along in this fully narrated, step-by-step tutorial, as Rosa guides you through each step of the way. She begins by explaining her personal UI setup in ZBrush for a more efficient workflow. Next she covers the massout sculpting phase, high poly creation in ZBrush, low poly modeling in 3dsMax, texturing in Substance Painter, and finally rendering in Marmost Toolbag.

Whether you're an experienced professional or just starting to learn, you'll walk away with a good understanding of how a highly skilled industry professional approaches 3D character creation from start to finish.

Rosa Lee is an experienced character artist, currently working as a Senior Character Artist at 343 Industries. She has worked on multiple AAA titles including Halo, Destiny 1 & 2, and Guild Wars 2. She has also freelanced on Darksiders 3, Borderlands 3, and Remnant.

Contents

- 7 hours narrated, step-by-step video tutorial

- References

- 1080 Resolution

- Stream video directly (for Studios who need downloadable files, get in touch)

Software Used

- ZBrush

- 3dsMax

- Substance Painter

- Marmoset Toolbag

Level

Intermediate

Prerequisite

Familiar with software used

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Python, JS, & React | Build a Blockchain & Cryptocurrency

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Python, JS, & React | Build a Blockchain & Cryptocurrency
Highest Rated | h264, yuv420p, 1280x720 |ENGLISH, aac, 48000 Hz, 2 channels | 15h 04 mn | 5.1 GB
Instructor: David Joseph Katz

Build a blockchain and cryptocurrency with Python, JavaScript, and React! Backend and frontend web development included!
What you'll learn

How to build a blockchain and cryptocurrency system from scratch.
The fundamentals of python - data structures, object-oriented programming, modules, and more.
The ins and outs of hashing and sha256.
Encoding and decoding in utf-8.
Testing Python applications with pytest.
Python virtual environments.
The concept of proof of work, and how it pertains to mining blocks.
Conversion between hexadecimal to binary.
HTTP APIs and requests.
How to create APIs with Python Flask.
The publish/subscribe pattern to set up networks.
When to apply the concepts of serialization and deserialization.
Public/private keypairs and generating data signatures.
The fundamentals of JavaScript.
Frontend web development and how web applications are constructed.
The core concepts of React and React hooks.
How the React engine works under the hood, and how React applies hooks.
CORS - and how to get over the CORS error properly.
How to build a pagination system.

Requirements

You can be new to Python.
You can be new to JavaScript.
You can be new to blockchains and cryptocurrencies.
You can be new to React.
If you are a complete beginner to programming, you may find this course fast paced. Everything is explained from scratch. But, there's a lot of concepts: Python, the blockchain, JavaScript, React, and more. It might help to do a couple introductory programming tutorials first.

Description

Why should you take this course?

Let me put on my salesman hat, and respond that the real question is "why shouldn't you take this course"?

The course includes Python, Blockchains, Cryptocurrencies, Web Development (Backend and Frontend), JavaScript, React JS, React Hooks and more. By investing in this course, you're really getting your bang for you buck.

Want to add learn software programming, while adding relevant languages/technologies to your portfolio? This course is perfect. According to stackoverflow (2019 developer survey), Python is the fastest-growing major programming language today. React.js is the most loved web framework. And there's no doubt that blockchains and cryptocurrencies are on the cutting edge of modern technology.

Want to learn Python and/or JavaScript? This course is for all levels. If you're a newcomer, you'll get a from-scratch experience. But the course journey is completely in your hands. If you're more experienced, feel free to skip the introductory sections for Python and JavaScript to get right into building the project.

The course is designed to help you achieve three main goals:

Learn Python and Backend Web Development.

Build a Blockchain and Cryptocurrency Project that you can add to your portfolio.

Learn JavaScript, Frontend Web Development, React.js, and React Hooks.

The course's main project is to build a blockchain and cryptocurrency. With a blockchain and cryptocurrency system as the main goal, you will go through a course journey that starts with backend development using Python. Then, you will transaction to frontend web development with JavaScript, React.js, and React Hooks.

Here's an overview of the overall course journey:

Get an introduction of the Python Fundamentals.

Begin building the Blockchain Application with Python.

Test the Application using Pytest.

Incorporate the crucial concept of Proof of Work into the Blockchain.

Enhance the application to prepare for networking.

Create the Blockchain network using Flask and Pub/Sub.

Integrate the Cryptocurrency, building Wallets, Keys, and Transactions.

Extend the network implementation with the cryptocurrency.

Transition from Python to JavaScript with a "From Python to JavaScript" introduction.

Establish frontend web development skills and begin coding with React.js.

Create the frontend portion for the blockchain portion of the system.

Complete the frontend by building a UI for the cryptocurrency portion of the system.

In addition, here are the skills that you'll gain from the course:

How to build a blockchain and cryptocurrency system from scratch.

The fundamentals of python - data structures, object-oriented programming, modules, and more.

The ins and outs of hashing and sha256.

Encoding and decoding in utf-8.

Testing Python applications with pytest.

Python virtual environments.

The concept of proof of work, and how it pertains to mining blocks.

Conversion between hexadecimal to binary.

HTTP APIs and requests.

How to create APIs with Python Flask.

The publish/subscribe pattern to set up networks.

When to apply the concepts of serialization and deserialization.

Public/private keypairs and generating data signatures.

The fundamentals of JavaScript.

Frontend web development and how web applications are constructed.

The core concepts of React and React hooks.

How the React engine works under the hood, and how React applies hooks.

CORS - and how to get over the CORS error properly.

How to build a pagination system.

***

Question(s) you may have:

Can this course help me find employment?

Taking this course will turn you into both a software engineer, and a specialized blockchain engineer. This position is a new one in the software industry. And the demand is high. But the supply is low. So open a ton of doors by becoming an in-demand engineer with a fully deployed blockchain and cryptocurrency in your portfolio!

Can I use the course project for my own software product?

Yes! Feel free to use the course project as the foundation for your own software product/company. The course code is open source. And I'm happy to provide advice via the Q&A section, or direct messages.

What is the difference between this course and your other courses on building a blockchain and cryptocurrency?

This is a remastered version of my other blockchain courses, using Python this time! I realize Python is a language that many students on the Udemy platform interested in learning or deepening their skills in. So, this course is here to offer a blockchain and cryptocurrency learning experience with Python as a main emphasis.

In addition, a lot of the blockchain logic has been improved, with additional methods and concepts! This version of the project is definitely more secure, more thorough, and more complete.

***

Here are snippets from what students have said about my blockchain and cryptocurrency courses in the past:

"Outstanding course - I have a fully working and tested blockchain thanks to this course! David was super helpful in the Q&A, and did an excellent job of breaking everything down." - M.R.

"Excellent! The basic blockchain code is introduced early on. Explanations are very clear" - D.A"

"David has done such an amazing job with this course! He is patient and walks you through blockchain concepts from start to finish. A very solid foundation!" - K.I.

***

Ultimately, this course is a learning experience like no other. It's packed with languages and technologies from Python, to the blockchain, to React.js, and everything in between. On top of that. It's an opportunity to become a pioneer in such a young and promising field.

So, hopefully, I'll see you in the course!
Who this course is for:

Those looking to add Python, JavaScript, or React to their programming skill set.
Rising engineers searching for an interesting project to add to their software portfolio.
Entrepreneurs researching the foundation for their next product.
Anyone looking for supplementary materials for other Python, JavaScript, blockchain, or general programming courses.
Python developers wanting to learn about the blockchain, cryptocurrencies, and/or React and JavaScript.
Students of any of my previous blockchain courses, who want to leverage their knowledge to learn Python.

Homepage

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Kubernetes Mastery: Hands-On Lessons From A Docker Captain

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Kubernetes Mastery: Hands-On Lessons From A Docker Captain
Hot & New | h264, yuv420p, 1280x720 |ENGLISH, aac, 44100 Hz, 2 channels | 6h 46 mn | 7.1 GB
Instructor: Bret Fisher

Learn the latest Kubernetes features (1.16) and plugins while practicing DevOps workflows, from a container expert
What you'll learn

Learn Kubernetes and cluster tools from an award-winning Docker Captain!
Lead your team into the future with the latest Kubernetes & container skills!
Know the right ways to use Kubernetes for proper DevOps workflows
Understand production K8s topics like rolling updates, healthchecks, and failure recovery
Know when to use different types of app configuration like args, envs, and ConfigMaps
Make Kubernetes YAML manifests and deploy using infrastructure-as-code methods

Requirements

Know Docker 101: the Docker basics like building and shipping images, and running containers
Understand terminal or command prompt basics
Linux basics like shells, SSH, and package managers
Know the basics of creating a server in the cloud (on any provider)
Understand the basics of web and database servers (how they typically communicate, IP's, ports, etc.)
Have a GitHub and Docker Hub account

Description

Taught by an award-winning Docker Captain and Kubernetes expert, this Course is the result of a collaboration between Bret Fisher, creator of the #1 Docker & Kubernetes course on Udemy, and Jérôme Petazzoni who is a full-time Kubernetes instructor, as well as one of the original Docker Inc DevOps Engineers! We designed the course to take your Kubernetes skills from first-time user to using K8s in production.

Updates are a thing! You can count on it. Kubernetes is a huge topic and constantly evolving. As a result, this course will grow and evolve with it.

Just starting out with Kubernetes? Perfect. This course starts out assuming you're new to container orchestration.

And, if you're using Kubernetes now and need to learn the latest features, I'm here for you! See my topics around dry runs, diffs, logging, rolling upgrades, startup healthchecks, zombie reaping, and more.

[five stars] "Because Bret knows, lives, breaths and loves his technology stack. The passion and belief always comes through in all of his courses which is why I will always recommend his work." -- Steven Hunt, Udemy Student

Already a Docker Mastery student and want to know what's different between the two courses? This course assumes you know Docker and dives deeper into Kubernetes and the community of tools around it. Unlike Docker Mastery, which starts with container 101 and takes you through a lot of tools like local development setups, docker-compose, registry, Docker Hub, Swarm basics, Kubernetes basics, and general Docker best practices... this course starts with Kubernetes 101 and has you learning and practicing each feature and workflow you'll need for running your own Kubernetes clusters, and like all my courses, it focuses on how to use those features with a DevOps mindset and workflow.

BONUS: This course comes with Slack Chat and YouTube Live Q&As with me!

"...Bret is amazing. You can tell he knows exactly what he is talking about and enjoys helping others. I have never seen someone so involved with his user base as Bret. ...I would seriously buy any course the Bret puts out because I have no doubts that it will be excellent." -- David Olson, Udemy Course Student

Why should you learn from me? Why trust me to teach you the best ways to use Kubernetes? (Hi, I'm Bret, please allow me to talk about myself for a sec):

I'm A Practitioner. Welcome to the real world: I've got 20 years of sysadmin and developer experience, over 30 certifications, and have been exclusively focused on DevOps and the container ecosystem for my consulting clients and my own companies since Docker's early days. Learn from someone who's helped run thousands of containers across dozens of projects and organizations.

I'm An Educator. Learn from someone who knows how to make a syllabus: I want to help you. People say I'm good at it. For the last few years, I've trained thousands of people on using Docker & Kubernetes in workshops, conferences, and meetups. See me teach at events like DockerCon, O'Reilly Velocity, GOTO Conf, and Linux Open Source Summit.

I Lead Communities. Also, I'm a Docker Captain, meaning that Docker Inc. thinks I know a thing or two about containers and that I do well in sharing it with others. In the real-world: I help run two local meetups in our fabulous tech community in Norfolk/Virginia Beach USA. I help online: usually in Slack and Twitter, where I learn from and help others.

"This guy is out of this world. I love his patience and carefulness he puts in all of his lessons." -- Evan Baird, Udemy Student

Giving Back: a portion of my profit on this course will be donated to supporting open source and protecting our freedoms online! This course is only made possible by the amazing people creating open source. I'm standing on the shoulders of (open source) giants! Donations will be split between my favorite charities like Electronic Frontier Foundation and Free Software Foundation. Look them up. They're awesome!

This is a living course and will be updated as Kubernetes features change.

This course is designed to be fast at getting you started but also to get you deep into the "why" of things. Simply the fastest and best way to learn the latest container skills. Look at the scope of topics in the Session and see the breadth of skills you will learn.

Also included is a private Slack Chat group with 21,000+ students for getting help with this course and continuing your Docker and DevOps learning with help from myself and other students.

"I am really loving your approach to training so far. Concepts are really simplified and easy to understand. Thank you." -- Yemisi Omoijo, Udemy Student

Some of the many cool things you'll do in this course:

Deploy a microservice app using both CLI and YAML

Investigate running apps using CLI, logs, and events

Test out different local Kubernetes installs like Docker Desktop, microK8s, and minikube

Use Stern to view multiple container logs at once

Try different load balancer types with Kubernetes Services

Troubleshoot container and network performance

Create custom labels for controlling load balancer connections

Use the new Server Dry Run to test changes with the API

Recover from a failed update, and rollback updates to previous versions

Test different healthcheck probe types

Use various app config options with built-in Kubernetes features

Quickly patch YAML with a single command

Split up and deploy YAML from git repos using DevOps practices

Deploy the Kubernetes Dashboard web GUI securely

And so much more...

After taking this course, you'll be able to:

Know when to use Kubernetes for solving real-world problems

Step through the proper decisions to make when creating healthchecks

Understand how to test healthchecks to ensure they don't create problems

Know when to use different types of app configuration like args, envs, ConfigMaps, and more

Design a ConfigMap with the Downward API for more flexible deployments

Make Kubernetes YAML manifests and deploy using infrastructure-as-code DevOps methods

Protect your keys, TLS certificates, and passwords with encrypted secrets

Lead your team into the future with the latest Kubernetes container skills!

Extra things that come with this course:

Access to the course Slack team, for getting help/advice from me and other students.

Bonus videos I put elsewhere like YouTube, linked to from this course's resources.

Live Q&A with me on YouTube.

Tons of reference links to supplement this content.

Updates to content as Kubernetes changes the features on these topics.

Who this course is for:

Beginner Kubernetes students that want to learn the latest features and patterns for container orchestration
Sysadmins, developers, and operators that know some Docker, and want to start using multi-server orchestration
Anyone who makes, deploys, or operates software on servers, that already knows container basics

Homepage

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Facebook Ads Ads Complete Data Master Package by Jeff Sauer

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Jeff Sauer - FB Ads Complete Data Master Package | 5.52 GB​
The Data Driven FB Ads Mastery program will take you from square one - never having managed a Facebook Ads account before - to advertising with expertise and confidence using the same techniques as the most effective advertising professionals.
This program will also help existing advertisers transform underperforming Facebook Ads campaigns into ROI positive investments.

Here's exactly what you're going to experience inside FB Ads Mastery:
- Module 1 - FB Ads Bootcamp
This module will Jumpstart your knowledge of our Data Driven methodology, so you're ready to approach Facebook Ads with strategic command.
- Module 2 - Navigating Facebook Ads
In Module 2, You'll discover how to streamline and structure your Facebook Ads account.
- Module 3 - How Facebook Ads Works
Module 3 is all about managing your Facebook Ads account with skill and confidence.
- Module 4 - Mastering Audience Targeting
It's time to Master the Data Driven audience targeting system.
- Module 5 - Getting your data right
Budgeting, tracking, and bid optimization. In Module 5, you'll discover how to improve your Facebook Ads ROI.
- Module 6 - Earning a positive ROI from Facebook Ads
In Module 6, you'll discover the secrets to using data to maximize your Facebook Ads results.
- Module 7 - Cementing Your Data Driven Advertiser Status
In Module 7, It's time to complete Data Driven Facebook Ads Mastery and claim your certificate of completion.

Homepage:

Screenshots
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