Trading Freak Academy (Full Course) (5 GB)

Investing In Stocks The Complete Course! (17+ Hours)

Stock Market Trading: The Complete Technical Analysis Course

Forex Trading Master Course - Zero to Hero

The Complete Cryptocurrency Trading Course A To Z

CA Rachana Ranade - Fundamental Analysis Course

Binary Trading Sure Profit By All Concepts With CWRV Part 2

Trading Options for Weekly Income

Trade Finance Fundamentals: Understanding Basics

The Ultimate Guide To Profitable Trading: Master The Market

Algotrading For Beginners With Technical Analysis

Master Class : Smart Money Concepts - Key Level strategiesLevel 3

ZERO TO HERO PROGRAM to Build Your Entire Trading Career in Stock Market, Commodity market & Forex Market

Cuvette - Placement Guarantee Course - April Batch

Build scalable & performant full-stack serverless applications (Appsync Masterclass)

Build WhatsApp clone w video calls Mern stack socket io 2023

MERN Invoice Web App with Docker,NGINX and ReduxToolkit

Build Facebook clone with REACT JS AND THE MERN STACK

Node.js, Express, MongoDB & More: The Complete Bootcamp

Build The Best Ecommerce Website Ever With React Js Next Js

The Full Stack Web Development Bootcamp 2023 - MERN STACK

Full-Stack Web Development Course (Coding Shuttle) [Anuj Bhaiya]

Web Development Bootcamp (Love Babbar)

MERN Stack Course 2023 - MongoDB, Express, React and NodeJS

Build an e-commerce app with React and Chakra UI MERN [2023]

Build Ecommerce Website Like Amazon [React & Node & MongoDB]

React Node Stripe MongoDB (MERN) Subscription App

As you go down the rabbit hole of building Python Web Applications you inevitably start to wonder how this is all going to run in a live, production, environment. This series aims to answer this question by deploying a basic Python Web Application from scratch to Linode's powerful and cost-effective service. Once you understand the fundamentals from scratch, you can learn to deploy using more scalable and powerful solutions (like Terraform, Ansible, and others).
Get started with a $100 credit to your account by going&nbsp;<a href="https://www.linode.com/cfe">here</a>.
References:
<ul>
<li><a href="https://github.com/codingforentrepreneurs/deploy-fastapi-from-scratch">Code</a></li>
</ul>
This series was created in partnership with Linode.
<h4>Lessons:</h4>
1 - Welcome 2 - Walkthrough - What were doing and why 3 - Recommendations before Starting 4 - Provisioning a Linode 5 - Your First Secure Connection 6 - Passwordless SSH with SSH Public Keys 7 - Configure new User &amp; Group Permissions 8 - Install nginx and UFW 9 - Why We Need Version Control 10 - Git Basics 11 - Git Remote Host on Linode Part 1 12 - Git Remote Host on Linode Part 2 13 - Install Python &amp; Use a Virtual Environment 14 - Production Ready Virtual Environment 15 - Our First Python FastAPI Web App 16 - Nginx for Web Server - Part 1 17 - Supervisor Part 1 18 - Deploy &amp; Solve 19 - Provisioning a PostgreSQL Server 20 - Setup Postgres Database 21 - Bind &amp; Configure Postgresql to the Server 22 - Provision &amp; Configure a Redis Server 23 - Nginx Load Balancer 24 - Custom Domain Name 25 - Implementing HTTPs on our Custom Domain with Lets Encrypt 26 - Prod &amp; Dev Database Servers 27 - Environment Variables on Webapp Servers 28 - Environment Variables in FastAPI 29 - Data Validation with pydantic 30 - Test Pydantic Models with pytest 31 - Database Configuration 32 - Database Model with SQLAlchemy 33 - Schema Models as Views 34 - Integrating the Database CRUD Methods with API Endpoints 35 - Push into Production 36 - Thank you for watching

Web Apps from Scratch 🔥

Deploy Python Web Apps from Scratch - Coding for Entrepreneurs

Dive into Machine Learning in JS with FrontendMasters. Master machine learning fundamentals, create projects with TensorFlow.js, and explore image and audio recognition. Perfect for front-end developers looking to expand their skillset!
<h2>Key Takeaways</h2>
By participating&nbsp;along&nbsp;with us in the workshop, you'll learn:
<ul>
<li>Machine Learning Fundamentals</li>
<li>Use pre-trained models and understand transfer learning</li>
<li>Create projects with image and audio recognition</li>
<li>Create custom models and split training data between training and testing sets</li>
</ul>
<h3>Is This Workshop for Me?</h3>
Front-end developers with a basic understanding of JavaScript, who would like to expand their knowledge of what is possible to do with front-end technologies, and who would like to learn more about machine learning while using a programming language they&rsquo;re already familiar with.
&nbsp;
&nbsp;
<h2>Workshop Details</h2>
By the end of this course, developers will have a deeper understanding of machine learning,&nbsp;what&nbsp;is currently possible in JavaScript, and create 3 projects exploring TensorFlow.js features.
<h3>Any Prerequisites?</h3>
<ul>
<li>No prior knowledge of machine learning needed</li>
<li>Basic front-end knowledge and understanding of JavaScript (syntax, data structures, working with APIs)</li>
<li>Any operating system and code editor should do</li>
</ul>
&nbsp;
&nbsp;
<h2>Event Details</h2>
<h3>What</h3>
<ul>
<li>2 Full Day Workshop Sessions</li>
<li>Replay Videos (available immediately)</li>
</ul>
<h3>When</h3>
<ul>
<li>April 18 to 19, 2024 -&nbsp;9:30am&nbsp;to&nbsp;5:30pm&nbsp;Central Daylight Time</li>
</ul>
<h3>Where</h3>
<ul>
<li>Option 1: Attend online on our full HD live stream</li>
<li>Option 2: Attend in-person at HQ in Minneapolis, MN</li>
</ul>
<h2>Daily Schedule</h2>
<h3>Day 1</h3>
<ul>
<li>9:30AM</li>
<li>Introduction to Machine Learning</li>
<li>10:30AM</li>
<li>Using Pre-Trained Models</li>
<li>12:00PM</li>
<li>Lunch</li>
<li>1:00PM</li>
<li>Setting up TensorFlow.js</li>
<li>2:00PM</li>
<li>Image Recognition Project</li>
</ul>
<h3>Day 2</h3>
<ul>
<li>9:30AM</li>
<li>Introduction to Transfer Learning</li>
<li>10:30AM</li>
<li>Image and Sound Recognition Project</li>
<li>12:00PM</li>
<li>Lunch</li>
<li>1:00PM</li>
<li>Making Your&nbsp;Own&nbsp;Model Project</li>
</ul>

Machine Learning in JS 🔥

Machine Learning in JS [FrontendMasters]

<h2>Courses in this path</h2>
<div class="row border-top difficulty-container active">
<div class="difficulty-header">
Beginner -&nbsp;Build your first PyTorch project, learning the underlying concepts behind the library and how it operates, and apply your knowledge in the Cloud.
1. Foundations of PyTorch
2. Building Your First PyTorch Solution
3. Using PyTorch in the Cloud: PyTorch Playbook
Intermediate -&nbsp;Apply PyTorch to common deep learning problem domains.
1. Building Deep Learning Models Using PyTorch
2. Image Classification with PyTorch
3. Style Transfer with PyTorch
4. Natural Language Processing with PyTorch
<div class="difficulty-header">
Advanced - Use PyTorch to create predictive analytics models, apply transfer learning techniques, and deploy and monitor your models in production.
</div>
1. Expediting Deep Learning with Transfer Learning: PyTorch Playbook
2. Predictive Analytics with PyTorch
3. Deploying PyTorch Models in Production: PyTorch Playbook
<h3>Experience</h3>
<ul>
<li>Machine Learning Literacy</li>
<li>Python Programming</li>
</ul>
</div>
</div>

Building Deep Learning Solutions ❤️‍🔥

Building Deep Learning Solutions with PyTorch - Pluralsight

Join the Complete Machine Learning and Data Science Bootcamp and become a skilled Data Scientist. Learn Python, Tensorflow, Pandas, deep learning, and more. Build real-world projects and gain the industry skills to land a job. Trusted by top tech companies like Google, Tesla, and Amazon
One of the most well known, profoundly appraised machine learning and data science bootcamps online. It's likewise the most current and forward-thinking. Ensured. You'll go from complete fledgling with no related knowledge to getting recruited as a Machine Learning Specialist this year.
You'll learn Data Science, Data Analysis, Machine Learning (Man-made consciousness), Python, Python with Tensorflow, Pandas and more!
&nbsp;
<h2>Course outline</h2>
Learn Data Science and Machine Learning from scratch, get recruited, and have a great time along the way. We are confident that this is the most complete, current and exceptional course you will track down on Data Science and Machine Learning (strong articulation, we know). Completely refreshed for 2023, we utilize the most recent version of Python, Tensorflow 2.0, and all the most recent industry skills and patterns!
<h2>WHAT YOU'LL LEARN</h2>
<ul>
<li>&nbsp;Deep Learning, Transfer Learning and Neural Networks utilizing the most recent Tensorflow 2.0</li>
<li>&nbsp;Present Data Science projects to the executives and partners</li>
<li>&nbsp;Real life contextual analyses and projects to understand how things are done in reality</li>
<li>&nbsp;Execute Machine Learning calculations</li>
<li>&nbsp;Step by step instructions to further develop your Machine Learning models</li>
<li>&nbsp;Fabricate a portfolio of work to have on your resume</li>
<li>&nbsp;Supervised and Unsupervised Learning</li>
<li>&nbsp;Investigate enormous datasets utilizing data visualization apparatuses like Matplotlib and Seaborn</li>
<li>&nbsp;Learn NumPy and the way things are utilized in Machine Learning</li>
<li>&nbsp;Learn to utilize the famous library Scikit-learn in your projects</li>
<li>&nbsp;Ace Machine Learning and how use it on the job</li>
<li>&nbsp;Utilize present day apparatuses that enormous tech organizations like Google, Apple, Amazon and Facebook use</li>
<li>&nbsp;Learn which Machine Learning model to decide for each sort of issue</li>
<li>&nbsp;Learn best practices with regards to Data Science work process</li>
<li>&nbsp;Learn how to program in Python utilizing the most recent Python 3</li>
<li>&nbsp;Learn to pre-process data, clean data, and examine enormous data</li>
<li>&nbsp;Engineer Environment arrangement for Data Science and Machine Learning</li>
<li>&nbsp;Machine Learning on Time Series data</li>
<li>&nbsp;Investigate enormous datasets and fight data utilizing Pandas</li>
<li>&nbsp;A portfolio of Data Science and Machine Learning projects to go after positions in the industry with all code and notebooks gave</li>
<li>&nbsp;Learn about Data Designing and how apparatuses like Hadoop, Spark, and Kafka are utilized in the industry</li>
<li>&nbsp;Learn how to apply Transfer Learning</li>
<li>&nbsp;Learn to perform Classification and Regression modeling</li>
</ul>
&nbsp;
Machine Learning has applications in pretty much every industry and is turning out to be all the more generally utilized each and every year.
<ul>
<li>Advertising</li>
<li>Finance</li>
<li>Medical care and Patient Analysis</li>
<li>Online protection</li>
<li>Retail</li>
<li>Transportation and Strategies</li>
<li>Agribusiness</li>
<li>Web of Things</li>
<li>Gaming and Amusement</li>
<li>Misrepresentation Detection</li>
<li>Irregularity Detection in Assembling</li>
<li>Government</li>
<li>The scholarly world/Exploration</li>
<li>Recommendation Frameworks</li>
<li>Sports (each knew about Moneyball?!)</li>
</ul>
And so many more. It's all over. The skills you'll learn in this course can be applied to these ventures and provide you with a great deal of options for your career.
Alumni of Zero To Dominance are currently working at Google, Tesla, Amazon, Apple, IBM, Uber, Facebook, Shopify + other top tech organizations.
They are likewise functioning as top consultants getting compensated while working from a distance all over the planet.
This can be you.
By selecting today, you'll likewise get to join our elite live online community classroom to learn alongside thousands of students, graduated class, tutors, TAs and Teachers.
Above all, you will learn data science and machine learning from industry experts that have genuine real-world experience having worked for top organizations in Silicon Valley, Toronto and Australia.
This course is centered around productivity with the goal that you never need to squander your energy on confusing, obsolete or inadequate Machine Learning instructional exercises any longer.
This exhaustive and project-based course will acquaint you with each of the cutting edge skills of a Data Scientist and along the way, you will construct some real-world projects to add to your portfolio.
You will likewise gain admittance to all the code, exercise manuals and formats (Jupyter Notebooks) on Github, so you can put them on your portfolio immediately!
This course tackles the greatest test to entering the Data Science and Machine Learning field:
Having every one of the important assets in one spot and learning the most recent patterns and on the job skills that businesses are really searching for.
The curriculum is exceptionally hands-on as we walk you beginning to end of turning into a professional Machine Learning Specialist or Data Scientist.
The course covers 2 tracks:
1️⃣ Developer: Assuming you definitely know programming, you can make a plunge and skirt the section where we show you Python from scratch.
2️⃣ No Programming Experience: On the off chance that you're a finished fledgling, no reason to stress. We take you from the earliest reference point and show you Python from scratch and how to involve it in our real world projects.
Don't stress, you will likewise be going far past the essentials.
Once we ensure you realize the essentials like Machine Learning 101 and Python, we jump deep into advanced topics like Neural Networks, Deep Learning and Transfer Learning so you can get real-life practice and be prepared for the real world.
You will get experience with undeniable Data Science and Machine Learning projects and admittance to bonus programming assets and cheatsheets.
The topics you'll learn in this Data Science and Machine Learning Bootcamp are:
<ul>
<li>Data Exploration and Visualizations</li>
<li>Neural Networks and Deep Learning</li>
<li>Model Evaluation and Analysis</li>
<li>Python 3</li>
<li>Tensorflow 2.0</li>
<li>Numpy</li>
<li>Scikit-Learn</li>
<li>Data Science and Machine Learning Projects and Work processes</li>
<li>Data Visualization in Python with MatPlotLib and Seaborn</li>
<li>Transfer Learning</li>
<li>Image Recognition and Classification</li>
<li>Train/Test and Cross Validation</li>
<li>Supervised Learning: Classification, Regression and Time Series</li>
<li>Decision Trees and Random Timberlands</li>
<li>Ensemble Learning</li>
<li>Hyperparameter Tuning</li>
<li>Utilizing Pandas Data Casings to address complex errands</li>
<li>Use Pandas to handle CSV Records</li>
<li>Deep Learning/Neural Networks with TensorFlow 2.0 and Keras</li>
<li>Utilizing Kaggle and entering Machine Learning competitions</li>
<li>Step by step instructions to introduce your discoveries and intrigue your chief</li>
<li>Step by step instructions to clean and set up your data for analysis</li>
<li>K Closest Neighbors</li>
<li>Support Vector Machines</li>
<li>Regression analysis (Straight Regression/Polynomial Regression)</li>
<li>How Hadoop, Apache Spark, Kafka, and Apache Flink are utilized</li>
<li>Setting up your environment with Conda, MiniConda, and Jupyter Notebooks</li>
<li>Utilizing GPUs with Google Colab</li>
<li>and more!</li>
</ul>
Toward the finish of this course, you will be a finished Data Scientist that can get employed at any organization you can envision.
You will utilize all that you learn in this course to construct professional real-world projects like a Coronary illness Detection Application, Tractor Value Indicator, Canine Variety Image Classifier, and some more.
By and by, you will have a pile of projects you have fabricated that you can flaunt to other people.
What's the primary concern?
Here is reality: most courses show you Data Science and that is all there is to it.
They tell you the best way to get everything rolling, however at that point you don't know where to go from there or how to assemble your own projects.
Or on the other hand, they'll show you a ton of code and complex math on the screen however they don't really make sense of things alright for you to go off on your own and tackle real-life machine learning problems.
Whether you are new to programming, need to step up your Data Science skills, or are coming from an alternate industry, this course is for you.
This course isn't tied in with making you simply code along without understanding the standards so that when you are done with the course you don't understand what to do other than watch another instructional exercise. No!
This course will push you and challenge you to go from a flat out amateur without any Data Science experience, to someone that can go off, disregard Daniel and Andrei, and fabricate their own Data Science and Machine learning work processes, and get recruited 💪.
And you might as well go for broke. You can begin learning at present and in the event that this course isn't all that you expected, we'll discount you 100 percent in 30 days or less. No issues and no questions inquired.
Useful links:
<ol>
<li><a href="https://www.python.org/" target="_new">Python</a></li>
<li><a href="https://www.tensorflow.org/" target="_new">Tensorflow</a></li>
<li><a href="https://pandas.pydata.org/" target="_new">Pandas</a></li>
<li><a href="https://scikit-learn.org/" target="_new">Scikit-learn</a></li>
<li><a href="https://matplotlib.org/" target="_new">Matplotlib</a></li>
<li><a href="https://seaborn.pydata.org/" target="_new">Seaborn</a></li>
<li><a href="https://www.kaggle.com/" target="_new">Kaggle</a></li>
<li><a href="https://docs.conda.io/" target="_new">Conda</a></li>
<li><a href="https://jupyter.org/" target="_new">Jupyter Notebooks</a></li>
<li><a href="https://keras.io/" target="_new">Deep Learning with Keras</a></li>
</ol>

Machine Learning & Data Science 🔥

Complete Machine Learning and Data Science Bootcamp

Elevate your design process with Design Systems with Storybook, v2 workshop by FrontendMasters. Learn documentation, deployment, and collaboration skills, master Storybook's features, and build robust design systems. Perfect for frontend developers, UI/UX designers, and team leads
<h2>Key Takeaways</h2>
By participating&nbsp;along&nbsp;with us in the workshop, you'll learn:
<ul>
<li>Skills in documentation, deployment, and team collaboration</li>
<li>Deep understanding of Storybook&rsquo;s new features and capabilities</li>
<li>Mastery in creating and managing a robust design system</li>
<li>Techniques for building atomic, responsive, and accessible components</li>
<li>Best practices in implementing visual regression testing and dark mode</li>
</ul>
<h3>Is This Workshop for Me?</h3>
Frontend developers, UI/UX designers, and team leads looking to leverage Storybook for creating and scaling design systems. The workshop is mostly framework-agnostic but uses React for demonstrations.
&nbsp;
<h2>Workshop Details</h2>
This workshop offers a comprehensive guide to building design systems using Storybook. Covering everything from basic setup to advanced features, attendees will learn about atomic design, accessibility, visual regression testing, responsive design, and dark mode implementation. The workshop emphasizes practical, hands-on learning for effective team collaboration and documentation.
<h3>Any Prerequisites?</h3>
<ul>
<li>Basic knowledge of JavaScript and familiarity with React</li>
<li>Understanding of CSS and styling concepts</li>
</ul>
&nbsp;
<h2>Event Details</h2>
<h3>What</h3>
<ul>
<li>One&nbsp;Full Day Workshop&nbsp;Session</li>
<li>Replay Videos (available immediately)</li>
</ul>
<h3>When</h3>
<ul>
<li>April 17, 2024 -&nbsp;9:30am&nbsp;to&nbsp;5:30pm&nbsp;Central Daylight Time</li>
</ul>
<h3>Where</h3>
<ul>
<li>Option 1: Attend online on our full HD live stream</li>
<li>Option 2: Attend in-person at HQ in Minneapolis, MN</li>
</ul>
<h2>Daily Schedule</h2>
<ul>
<li>9:30AM</li>
<li>Introduction to Design Systems and Storybook</li>
<li>10:00AM</li>
<li>Setting Up Storybook in Your Project</li>
<li>10:30AM</li>
<li>Utilizing Design Tokens and Theming in Storybook</li>
<li>11:00AM</li>
<li>Building Atomic Components with Enhanced UI Controls</li>
<li>11:30AM</li>
<li>Managing Component States and Variants in Storybook</li>
<li>12:00PM</li>
<li>Lunch Break</li>
<li>1:00PM</li>
<li>Auditing Accessibility in Components</li>
<li>1:30PM</li>
<li>Implementing Visual Regression Testing</li>
<li>2:00PM</li>
<li>Leveraging Enhanced Documentation Features</li>
<li>2:30PM</li>
<li>Exploring Advanced Addons and Integrations</li>
<li>3:00PM</li>
<li>Strategies for Responsive Design and Dark Mode Implementation</li>
<li>3:30PM</li>
<li>Automating Deployment and Maintaining the Design System</li>
<li>4:00PM</li>
<li>Collaborative Techniques and Workflow Improvements</li>
<li>4:30PM</li>
<li>Strategies for Scaling Your Design System</li>
</ul>
&nbsp;

Design Systems with Storybook 🔥

Design Systems with Storybook, v2 [FrontendMasters]

<div class="flex flex-grow flex-col gap-3">
<div class="min-h-[20px] flex flex-col items-start gap-4 whitespace-pre-wrap">
<div class="markdown prose w-full break-words dark:prose-invert light">
If you are interested in building powerful, fast, and reactive web applications with ease, learning React.js from scratch is the best way to get started. React.js is the most popular JavaScript library that can help you build modern and reactive user interfaces for the web. In this blog post, we will dive into the complete guide to React.js, which includes Hooks, React Router, Redux, Animations, Next.js, and much more!
<h2>What will you learn?</h2>
This course teaches you React.js in-depth, from the ground up, step by step, by diving into all the core basics and exploring tons of examples, while also introducing you to advanced concepts. You will learn how to build powerful, fast, and user-friendly web applications, provide amazing user experiences, and leverage the power of JavaScript with ease. You will also learn all about <a href="https://www.freecourseuniverse.com/post/react-hooks-ui-dev" target="_blank" rel="noopener">React Hooks</a> and React Components.
Requirements To succeed in this course, you need <a href="https://www.freecourseuniverse.com/post/full-stack-web-development-course-nodejs-htmlcssjs" target="_blank" rel="noopener">JavaScript, HTML, and CSS fundamentals</a>. You do not need to be a JavaScript expert, and ES6+ JavaScript knowledge is beneficial but not a must-have. Prior React or any other JS framework experience is not required!
<h2>What's in this course?</h2>
The course starts with a thorough introduction to React.js, including all the core basics of building components and UIs with React. You will learn about components, props, and dynamic data binding, working with user events and state to create interactive applications, and how React works under the hood. You will also get detailed explanations on how to work with lists and conditional content.
This course also covers working with built-in Hooks and building custom Hooks, debugging React apps, and styling React apps with "Styled Components" and "CSS Modules." You will learn how to work with "Fragments" &amp; "Portals," deal with side effects, and handle forms and user input (including validation). The course also includes Redux &amp; Redux Toolkit, Routing with React Router, and an in-depth introduction to Next.js.
Finally, you will learn how to deploy React Apps, implement Authentication, Unit Tests, combine React with TypeScript, add Animations, and work on tons of examples and demo projects to apply all the things you learned in real projects.
<h2>Who this course is for:</h2>
This course is ideal for students who want to learn how to build reactive and fast web apps, anyone who is interested in learning an extremely popular technology used by leading tech companies like Netflix, and students who want to take their web development skills to the next level and learn a future-proof technology.
<h2>Instructors</h2>
The course is provided by <a href="https://www.udemy.com/user/academind/" target="_blank" rel="noopener">Academind by Maximilian Schwarzm&uuml;ller</a> which is a leading online education platform. The platform bundles the courses and know-how of successful instructors to deliver high-quality online education. The courses are taught in a fun and engaging way, and the platform has taught more than 2,000,000 students on a broad variety of topics.
In conclusion, the Complete Guide to React.js is a practice-oriented course that will teach you all the latest patterns and best practices you need to know. It covers EVERYTHING you need to know and learn to<a href="https://www.freecourseuniverse.com/post/front-end-web-development-course-reactjs-coding-ninjas" target="_blank" rel="noopener"> become a React.js developer</a>, and the course starts with zero knowledge assumed! Check out the full curriculum, the free preview videos, and join the course risk-free thanks to the 30-day money-back guarantee!
</div>
</div>
</div>

react-the-complete-guide 😃

React - The Complete Guide (incl Hooks, React Router, Redux)

Learn to write infrastructure code with AWS Cloud Development Kit (CDK) v2 &amp; Python from&nbsp;AWS-certified&nbsp;DevOps expert.
&nbsp;
<h2>What you'll learn</h2>
<ul>
<li>Use AWS CDK v2 and Python to write infrastructure code efficiently to avoid human errors with automation while creating AWS resources.</li>
<li>Understand the differences between L1, L2, and L3 (patterns) constructs to choose the most appropriate ones for your solution.</li>
<li>Learn to use the AWS CDK Toolkit to create CDK applications, synthesize templates&nbsp;and&nbsp;deploy your stacks.</li>
<li>Divide your AWS architecture into multiple CDK stacks to organize them more efficiently and launch more resources per stack.</li>
<li>Learn to use AWS CDK Construct Library as a reference to find the constructs for your solution.</li>
<li>Use L2 constructs and CDK patterns (L3) to create your AWS architecture with sensible defaults according to most used scenarios.</li>
<li>Use L1 constructs to map CloudFormation resources one-to-one when needed.</li>
<li>Use AWS CDK and Python to allow network connections, initialize EC2 instances, and upload S3 assets easily with object-oriented programming.</li>
<li>Use AWS CDK aspects to perform compliance checks on your AWS infrastructure before deployment.</li>
<li>Write unit tests for your constructs with CDK's fine-grained assertions and Pytest framework to detect the problems in your infrastructure earlier.</li>
</ul>
&nbsp;
&nbsp;
<h2>Requirements</h2>
<ul>
<li>Basic Python programming knowledge</li>
<li>Intermediate level AWS knowledge of core services</li>
<li>Experience in terminal usage to run commands</li>
<li>Prior AWS CloudFormation knowledge is an advantage but not a requirement.</li>
</ul>
<h2>Description</h2>
Welcome to&nbsp;AWS&nbsp;CDK with Python Step by Step&nbsp;to learn how to write infrastructure code using AWS&nbsp;Cloud Development Kit (CDK)&nbsp;v2&nbsp;and Python.
&nbsp;
By taking this course, you will understand AWS CDK concepts in detail with hands-on examples&nbsp;in&nbsp;each topic. This is a new course covering&nbsp;only the latest AWS CDK version, v2.
&nbsp;
<ul>
<li>You will learn to use the&nbsp;AWS CDK Construct Library&nbsp;and various levels of&nbsp;CDK constructs, L1, L2, and L3 (CDK patterns), to define AWS resources for your solution.</li>
<li>You will use&nbsp;AWS&nbsp;CDK Toolkit&nbsp;to create your CDK applications, synthesize templates, and deploy your resources as CloudFormation stacks.</li>
<li>You will use AWS CDK and Python with the power of&nbsp;object-oriented programming&nbsp;to configure your AWS resources with sensible defaults according to most used scenarios, easily add related resources, grant permissions, use metrics, allow network connections, upload assets to S3, and so on.</li>
<li>You will learn to&nbsp;organize your AWS architecture into multiple stacks&nbsp;by configuring cross-stack references or nested stacks with AWS CDK.</li>
<li>You will learn to use&nbsp;AWS CDK aspects&nbsp;to perform compliance checks on your AWS infrastructure before deployment or make corrections.</li>
<li>You will learn unit&nbsp;testing your AWS&nbsp;CDK constructs with fine-grained assertions&nbsp;using the&nbsp;Pytest&nbsp;framework to detect possible problems earlier.</li>
</ul>
Ultimately, you will become a proficient AWS CDK developer using Python as the programming language.
&nbsp;
This course is built by&nbsp;Emre Yilmaz,
<ul>
<li>a senior AWS architect and developer holding&nbsp;all Professional and Associate level AWS certifications since 2018.</li>
<li>a software engineer and cloud architect with a&nbsp;BS in Computer Engineering,&nbsp;an MS in Financial Engineering,&nbsp;and&nbsp;more than 17 years of professional experience.</li>
<li>an AWS instructor with&nbsp;highly-rated&nbsp;AWS courses on&nbsp;AWS&nbsp;CloudFormation&nbsp;and&nbsp;AWS&nbsp;CodePipeline&nbsp;and helped more than&nbsp;ten thousand students&nbsp;until now.</li>
</ul>
What do you need for this course?
<ul>
<li>This course uses Python as the programming language. So a&nbsp;basic Python programming experience&nbsp;is expected.</li>
<li>Basic terminal experience&nbsp;is also needed to execute commands.</li>
<li>Intermediate-level&nbsp;of AWS knowledge&nbsp;is essential to understand the examples made.</li>
<li>An AWS free-tier AWS account in which you have admin privileges to make the examples.</li>
</ul>
Nice to have:
<ul>
<li>AWS&nbsp;Cloud&nbsp;Development Kit (CDK) depends on AWS&nbsp;CloudFormation. So having prior AWS CloudFormation knowledge and experience will be an advantage. However, it is not a must to learn AWS CDK.</li>
</ul>
&nbsp;
You can watch the free previews&nbsp;on&nbsp;the course curriculum to get an idea about the teaching style.
Then, join this course to learn AWS&nbsp;Cloud Development Kit (CDK) with Python step by step!
&nbsp;
<h2>Who this course is for:</h2>
<ul>
<li>Developers, system architects, and DevOps engineers who want to create AWS architecture with CDK and Python.</li>
<li>AWS CDK and Python developers who want to understand AWS CDK concepts better and use CDK more efficiently.</li>
<li>AWS CloudFormation developers who are curious about switching to Python to write infrastructure code.</li>
</ul>
<h2>Instructor</h2>
<a class="editor-rtfLink" href="https://www.udemy.com/user/1fb149c3-24b8-4485-96bd-06b1b6ab2495/" target="_blank" rel="noopener">Emre Yilmaz &bull; AWS Certified DevOps Engineer &bull; Solutions Architect</a>
Senior AWS Consultant
<ul>
<li>4.7 Instructor Rating</li>
<li>2,340 Reviews</li>
<li>14,801 Students</li>
<li>4 Courses</li>
</ul>
I am Emre Yılmaz, a senior AWS architect with all&nbsp;professional-level (since 2018)&nbsp;and three&nbsp;associate-level (since 2017)&nbsp;AWS certifications:
⭑&nbsp;AWS Certified Solutions Architect - Professional
⭑&nbsp;AWS Certified DevOps Engineer - Professional
⭒&nbsp;AWS Certified Solutions Architect - Associate
⭒&nbsp;AWS Certified SysOps Administrator - Associate
⭒&nbsp;AWS Certified Developer - Associate
I have a&nbsp;BS in Computer Engineering, an MS in Financial Engineering,&nbsp;and&nbsp;over 17 years of professional experience&nbsp;in corporates and startups. I help my clients worldwide as a freelance AWS consultant in my company, Shikisoft.
&nbsp;
4.9 course rating65 ratings
Greg K.
Rating: 5.0 out of 54 months ago
GK
&nbsp;
Excellent course and lecturer. Very well structured and&nbsp;delivery&nbsp;is paced perfectly. I feel fully prepared to tackle complex AWS management through Python now.Although&nbsp;this isn't a Cloudformation deep dive, I&nbsp;really&nbsp;like how Emre goes into Cloudformation templates just enough to understand the relationship to the&nbsp;higher level&nbsp;CDK constructs.
&nbsp;
Johnny T.
Rating: 5.0 out of 54 months ago
&nbsp;
Another great course by Emre Yilmaz. A well-structured, detailed, and thoroughly explained course with copious examples which were easy to follow, throughout the course. One is guided by the hand. I strongly recommend this course to anyone interested in getting started with AWS CDK.
Useful Links:
<ol>
<li><a href="https://docs.aws.amazon.com/cdk/latest/guide/home.html" target="_new" rel="noreferrer">AWS CDK Documentation</a></li>
<li><a href="https://docs.python.org/3/" target="_new" rel="noreferrer">Python Documentation</a></li>
<li><a href="https://aws.amazon.com/certification/" target="_new" rel="noreferrer">AWS Certification</a></li>
</ol>

Udemy - AWS CDK with Python ✨

Udemy - AWS CDK with Python Step by Step

Namaste Frontend System Design 🔥

Namaste Frontend System Design

Imagine a scenario in which you had the certainty to have the option to make Astonishing Animations, in only 30 days.
Follow my step by step system that I use to show understudies eye-getting Animations, regardless of whether you are a finished beginner and have never utilized After Effects.
&nbsp;
Hello I'm Ross, and on the off chance that you've at any point watched a news-casting, narrative or any educational video online - you would have seen exactly the way in which famous animation has become for making connecting with content.
Perhaps you can relate;
You've for a long time needed to learn animation however don't have any idea where to begin.
You watch animations online yet can never appear to recreate the outcomes yourself.
&nbsp;You accept you really want to contribute long stretches of your chance to figure out how.
Indeed, I'm here to tell you - none of these are valid and truly you can figure out how to make animations basically and rapidly with next to no related knowledge!
&nbsp;
Animations can be straightforward and simple to make
&nbsp;
How cool would it be in the event that I could open up After Effects and begin making Animations that looked outwardly perfect and my clients adored - all without watching vast long periods of YouTube instructional exercises!
Well that was the fantasy when I began&hellip; yet after 10+ years making 100's of animations and building a 100k+ YouTube Channel, it's instructed me that:
That any animation can be separated into individual components.
The specialized steps to making animations can be advanced by any inventive.
I didn't need to be an After Effects Master to have the option to make animations.
So after refining my cycle I consented everything into a step by step process called Animation Expert. This has now been utilized by 100's of understudies and has given them the certainty and experience to make great animations.
&nbsp;
Presenting
Animation Expert
An online course with a proven step by step system that I use to show understudies how to make astounding animations utilizing After Effects. Regardless of whether you are a beginner and have never utilized After Effects.
&nbsp;
<h2>What You Will learn</h2>
Here's beginning and end you will learn over the 50+ Animations
<h2>Module 1 - After Effects</h2>
15 Recordings
You gain the certainty to use After Effects - regardless of whether your a total beginner
Conquer the psychological hindrances that keep most illustrators from progress
The need to be aware After Effects techniques for making great animations - broken into 15 recordings
A straightforward 4 step procedure for having the option to make any animation
<h2>Module 2 - Text and Backgrounds</h2>
5 Recordings and 20 Animations
Instructions to make the absolute most generally seen line and foundation animations
My proven strategies for making straightforward animations with high effect
Step by step plan for making enlivened backgrounds you would see online
Recordings: 4 Line animations, 5 Straightforward lower thirds, 4 Clean text animations, 3 Textured Bg's, 3 Energized BG's and All Graphics included
&nbsp;
<h2>Module 3 - Graphic Animations</h2>
5 Recordings and 9 Animations
You gain the certainty to involve 3D cameras for dynamic impact
Standards for making animations that stick out
Instructions to rejuvenate 2D graphics and pictures
Acquire the information to utilize effects that make your animations look practical
Recordings: 3D Camera developments, Documented Slideshow, Level Graphics, Ink Effects, 2D Graphic Animations, All Graphics included
<h2>Module 4 - Graphs and Maps</h2>
9 Recordings and 15 Animations
Instructions to make probably the most notable guide animations
Step by step process, that permits you to make maps with influence
The what and why for making graphs that invigorate
Figure out how to propel yourself imaginatively while dealing with your own tasks
Animations: 2 Bar, 2 Roundabout, Dab, 3 Line and Region Graphs. 2 Dull, 3D, 3D Markers, War and Struggle Maps. All Graphics included
<h2>Module 5 - Animations</h2>
6 Recordings and 7 Animations
Gain proficiency with the step by step process I use for paying clients
Learn techniques that permit you to mirror work you see online
Genuine techniques for After Effects that can be utilized to breakdown animations
The most effective method to be proficient and useful in the program while learning these 7 special animations
Animations: Paper Graphics, 2 Courses of events, Isometric, Narrative Style, Splendid Energy. All Graphics included
&nbsp;
<img src="https://media.graphassets.com/output=format:jpg/resize=height:800,fit:max/XYvT0O2QWOqCENFPTRo1" alt="Animation Master Course Flat Pack Fx" width="1882" height="467" />
&nbsp;
Useful Links:
<ol>
<li><a href="https://examplelink.com/ross-youtube" target="_new">Ross's YouTube Channel</a></li>
<li><a href="https://examplelink.com/animation-tips-beginners" target="_new">Animation Tips for Beginners</a></li>
<li><a href="https://examplelink.com/after-effects-tutorials" target="_new">After Effects Tutorials</a></li>
</ol>

Animation Master Course 🔥

Animation Master Course ( Flat Pack FX )

<div data-purpose="safely-set-inner-html:description:description">
The ChatGPT API is one of the most powerful language processing (NLP) tools available today. With its advanced algorithms and state-of-the-art language models, it provides a wealth of capabilities for developers looking to build custom applications that require natural language processing. In this course, you will learn how to harness the full power of ChatGPT and integrate it into your own projects. Everyday more and more AI based tools are coming up to the market so it's important to learn how to use them the best we can. May this be your first step towards it! :)
We'll start by exploring the basics of the ChatGPT API, including how it works and what types of applications it can be used for. From there, we'll dive into the technical details of integrating ChatGPT into your own projects, covering everything from setup and authentication to building and testing your own custom applications.
In this course, you'll learn to code on VBA and google script so to have a ChatGPT based tool from within your spreadsheets as the firsts projects and thenthe end of the course, ywe will proceed to code (on Python) our very own ChatGPT based ChatBot on WhatsApp.
I'm very exited for this course and I hope to see you inside.
</div>
<div class="styles--audience--2xuzW" data-purpose="target-audience">
<h2 class="ud-heading-xl styles--audience__title--1qhlO">Who this course is for:</h2>
<ul class="styles--audience__list--16EaN">
<li>Engineering students</li>
<li>Engineers</li>
<li>Computer science students</li>
<li>Computer scientists</li>
<li>Porgrammers</li>
<li>Developers</li>
<li>AI Enthusiasts</li>
</ul>
<h2>What you'll learn</h2>
<ul>
<li>ChatGPT</li>
<li>Artificial Intelligence</li>
<li>AI</li>
<li>Python</li>
<li>Google Sheets</li>
<li>Automatic data entry via AI</li>
<li>Flask</li>
<li>Ngrok</li>
<li>Create a chatbot using Twilio</li>
</ul>
<div class="component-margin">
<h2 class="ud-heading-xl requirements--title--2wsPe" data-purpose="requirements-title">Requirements</h2>
<ul class="ud-unstyled-list ud-block-list">
<li>
<div class="ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm">
<div class="ud-block-list-item-content">Some programming recommended, any beginner can join in though.</div>
</div>
</li>
<li>
<div class="ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm">
<div class="ud-block-list-item-content">A ChatGPT account and an API key (I will walk you on how to get one)</div>
</div>
</li>
<li>
<div class="ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm">
<div class="ud-block-list-item-content">A reliable internet connection</div>
</div>
</li>
<li>
<div class="ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm">
<div class="ud-block-list-item-content">Willingness to learn</div>
</div>
</li>
</ul>
</div>
</div>

Build your own Chatbot ❤️‍🔥

Build your own Chatbot using Python, ChatGPT & WhatsApp - Udemy

Build your own Chatbot using Python, ChatGPT & WhatsApp - Udemy

Who this course is for:

What you'll learn

Requirements

Jack Sparrow

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Build your own Chatbot using Python, ChatGPT & WhatsApp - Udemy

Who this course is for:

What you'll learn

Requirements

Jack Sparrow

Leave a comment

0 Comment

Membership Plans

How to download ??

This site is hosted on Digital Ocean

Get $200 credit Instantly

Offer available for limited time ( Take advantage of free credits 👇 )

Related Posts

Tags

Offer available for limited time
( Take advantage of free credits 👇 )