R Basics

JavaScript Fundamentals

HTML Fundamentals

Machine Learning Fundamentals

C Fundamentals

Python Fundamentals

Quantum Computation

Deep Learning Fundamentals

Data Science Fundamentals

Understanding Cloud Computing Essentials— From Zero to Hero

Getting to Know AWS CloudFormation

Developing RESTful Microservices with API Gateway and DynamoDB

Understanding Networking Services in AWS—From Zero to Hero

Working with Relational Databases: A Beginner's Guide to AWS RDS

Handling Amazon SNS Notifications with AWS Lambda

Working with Instances: An Amazon EC2 Walkthrough

Getting Started with Amazon ECS

Understanding Auto Scaling Group (ASG) in AWS

Modern CMake for C++

Grokking Coding Interview Patterns in Java

Grokking Dynamic Programming: A Deep Dive Using JavaScript

Mastering Data Structures and Sorting Algorithms in JavaScript

Data Structures & Algorithms In Go

Grokking Dynamic Programming: A Deep Dive Using C++

Recursion for Coding Interviews in C++

Grokking Coding Interview Patterns in C++

Grokking Coding Interview Patterns in Go

Grok the coding interview by mastering the widely recognized Grind 75 LeetCode questions and confidently elevate your career!

Grokking Grind 75 in JavaScript: Mastery through Coding Patterns

Go from complete beginner to creating interactive websites using HTML, CSS, and JavaScript.

Become a Front End Developer

Stand out from the crowd. Cover everything you need to know to crack your coding interviews in Python.

Ace the Python Coding Interview

Learn how to analyze and visualize data using Python's powerful data analytics libraries and expand your job opportunities.

Zero to Hero in Python for Data Science

Grokking Grind 75 in Go: Mastery through Coding Patterns

Master computing essentials, coding, databases, and software models. Craft a solid foundation for a rewarding software career.

Computer Science Bootcamp

Learn the basics of Python, machine learning concepts, supervised and unsupervised learning, common libraries as well as model selection and

Zero to Hero in Python for Machine Learning

Python is an in-demand programming language for data scientists and web developers. Expand your job opportunities with lessons designed for developers

Zero to Hero in Python

Learn how to use machine learning with Python libraries and take your data scientist skills to the next level.

Machine Learning with Python Libraries

Anomaly Detection in Medical Images: Python, TF, and PyTorch

Build a News ETL Data Pipeline Using Python and SQLite

Create a Tic Tac Toe Application with Minimax Using JavaFX

Develop Smart Contract for NFT Marketplace

Cardiovascular Disease Risk Prediction with Random Forest

Implement the Decision Tree Classifier from Scratch

Use RSpec to Write Efficient Test Cases in the Rails Application

Deploy a Full Stack Web Application over Kubernetes

Build a REST API Using ASP.NET Core 6

A Visual Introduction to Algorithms

Learn Python 3 from Scratch

Learn Java from Scratch

Practical Redux

Understanding Flexbox: Everything you need to know

Introduction to JavaScript: First Steps

Build Your Own Chatbot in Python

Grokking the Behavioral Interview

Data Structures with Generic Types in Java

The tools that help create a document, a movie, or a game are all programs. This course uses Python as its programming language. Python programmers are in high demand. The programs you’ll learn in this course are specially designed for learners with no programming background. 

You’ll start with simple math, real-world problem-solving, and writing solutions as steps in a simple language. Next, you’ll learn decision-based solutions demonstrated via flowcharts and explained with execution sheets. Finally, you’ll learn to translate your solutions into Python programs using variables, conditional statements, loops, strings, lists, and built-in functions. You’ll also learn to create your own functions in Python.

Plenty of practice programs with the facility of editing and running them in an embedded way will add to your confidence. After completing this course, you can start as a Python developer. Python is used in business, web, healthcare, education, data science, scraping, embedded systems, and games.

Learn to Code: Python for Absolute Beginners

The tools that help create a document, a movie, or a game are all programs. This course uses C++ as its programming language. C++ programmers are in high demand. The programs you’ll learn in this course are specially designed for learners with no programming background. 

You’ll start with simple real-world problem-solving and writing solutions as steps in a simple language. Next, you’ll learn decision-based solutions demonstrated via flowcharts and explained with execution sheets. Finally, you’ll learn to translate your solutions into C++ programs using variables, conditional statements, loops, strings, arrays, and library functions. You’ll also learn to create your own functions in C++.

Plenty of practice programs with the facility of editing and running them in an embedded way will add to your confidence. After completing this course, you can start as a C++ developer. C++ is generally used in developing browsers, operating systems, embedded systems, network applications, and games.

Learn to Code: C++ for Absolute Beginners

The tools that help create a document, a movie, or a game are all programs. This course uses JavaScript as its programming language. JavaScript programmers are in high demand. The programs you learn in this course are specially designed for learners with no prior programming background. 

You’ll start with simple math, real-world problem-solving, and writing solutions as steps in simple English. Next, you’ll learn decision-based solutions demonstrated via flowcharts and explained with execution sheets. Finally, you’ll learn to translate your solutions into JavaScript programs using variables, conditions, loops, strings, arrays, and built-in functions. You’ll also learn to create your functions in JavaScript.

Plenty of practice programs, with the facility of editing and running them in an embedded way, will add to your confidence. After completing this course, you can start as a JavaScript developer. JavaScript is generally used in interactive websites, browser games, and server-side applications.

Learn to Code: JavaScript for Absolute Beginners

The tools that help create a document, a movie, or a game are all programs. This course uses Java as its programming language. Java programmers are in high demand. The programs you’ll learn in this course are specially designed for learners with no prior programming background. 

You’ll start with simple real-world problem-solving and writing solutions as steps in a simple language. Next, you’ll learn decision-based solutions demonstrated via flowcharts and explained with execution sheets. Finally, you’ll learn to translate your solutions into Java programs using variables, conditional statements, loops, strings, arrays, and built-in functions. You’ll also learn to create your own functions in Java.

Plenty of practice programs with the facility of editing and running them in an embedded way will add to your confidence. After completing this course, you can start as a Java developer. Java is generally used in distributed, cloud-based, mobile, desktop GUI, web-based, IoT, and gaming applications.

Learn to Code: Java for Absolute Beginners

The tools that help create a document, a movie, or a game are all programs. This course uses Ruby as its programming language. Ruby programmers are in high demand. The programs you’ll learn in this course are specially designed for learners with no prior programming background. 

You’ll start with simple math, real-world problem-solving, and writing solutions as steps in a simple language. Next, you’ll learn decision-based solutions demonstrated via flowcharts and explained with execution sheets. Finally, you’ll learn to translate your solutions into Ruby programs using variables, conditional statements, loops, strings, lists, and built-in functions. You’ll also learn to create your own functions in Ruby.

Plenty of practice programs with the facility of editing and running them in an embedded way will add to your confidence. After completing this course, you can start as a Ruby developer. Ruby is generally used in web-based development, content management, e-commerce, and network applications.

Learn to Code: Ruby for Absolute Beginners

The tools that help create a document, a movie, or a game are all programs. This course uses C# as its programming language. C# programmers are in high demand. The programs you’ll learn in this course are specially designed for learners with no programming background. 

You’ll start with simple real-world problem-solving and writing solutions as steps in a simple language. Next, you’ll learn decision-based solutions demonstrated via flowcharts and explained with execution sheets. Finally, you’ll learn to translate your solutions into C# programs using variables, conditional statements, loops, strings, arrays, and built-in functions. You’ll also learn to create your own functions in C#.

Plenty of practice programs with the facility of editing and running them in an embedded way will add to your confidence. After completing this course, you can start as a C# developer. C# is generally used in mobile, desktop, and web-based applications, including games and cloud-based services.

Learn to Code: C# for Absolute Beginners

Learn Intermediate Python 3 with this interactive course, and get a handle on the most popular programming language in the world.

Join us on an interactive journey through the syntax and functionality of Python. The course begins by exploring the basic building blocks before moving on to higher-level concepts such as functions and loops. Fun quizzes and coding challenges will accompany you along the way to help enforce all the concepts covered in the course.

By the time you're done, you'll have the skills you need to create your own basic applications in Python 3.

Learn Intermediate Python 3

Do you want to get a grip on the basic programming concepts from scratch? Do you feel the need to have a better and enhanced understanding of how it all works?  Well, you've come to the right place. This course outlines data types, control flow, functions, input/output, memory, compilation, debugging and other advanced topics in a comprehensive, yet concise manner.

C is where it all begins and where you should also begin to embark on your programming journey. The incredibly efficient and powerful C language forms the basis for many other languages like C++ and Java. It allows you to interact directly with memory and low-level computer operations, thereby enhancing your programming skills and deepening your understanding. This comprehensive and detailed course will introduce you to all the basic and advanced programming concepts of C language. In addition, it also addresses memory, debugging and parallel programming in C.

Sounds awesome? Let's dive in!

Learn C from Scratch

The digital world we live in has given companies and people access to staggering amounts of data, and anyone that can make use of that to drive valuable insights stands to benefit. The ability to work with large amounts of data is becoming a standard requirement for countless jobs across multiple industries.

Enter R, probably the most well-known language for data analysis. It's been used for years due to its robust statistical functionality, outstanding graphing ability, and extensibility through packages.

This interactive course will get you up to speed and assumes no prior knowledge of R. You'll start with the very basics and work your way up to advanced concepts like exception handling. By the time you're done, you'll be able to write detailed, useful code in R yourself.

Learn R from Scratch

Grow My Skill Set

Cloud

PostgreSQL

Redshift

Migrate Data from Partitioned Tables in PostgreSQL Using AWS DMS

JavaScript

Web Development

Location-based Service

Leaflet

React

Express.js

MongoDB

Interactive Maps

Build a Location Tracker Using Leaflet, ReactJS, and Express.js

Become a developer

TypeScript

Front-end Development

Angular

In this course, you will learn Angular, which is currently among the top JavaScript frameworks. More developers are now seeking the best way to get started with this flexible and secure framework. You will learn how to achieve cross-platform high performance with the latest web techniques.

You will begin with the basics of an Angular application, including its project structure. Then, you will learn about the basics of TypeScript and its importance in type checking. Next, you will cover how to create components and use pipes and directives in Angular. You’ll progress to cover event handling, navigation, and routing. You will end this course by learning how to create unit tests and debug an Angular application to prepare it for production.

After completing this course, you will gain essential skills to develop apps by harnessing the power of the Angular command-line interface (CLI), write unit tests, style your apps by following the Material Design guidelines, and finally, deploy them to a hosting provider.

Learning Angular

Single Sign-on Authentication and authorization in ASP.NET Core.png

.NET Applications

ASP.NET Core

Securing web applications is extremely important, as you do not want unauthorized people to gain access to your data. The most convenient way of securing an application is to use single sign-on (SSO) because it allows users to authenticate once and gain access to all apps within the same system.

In this course, you’ll cover the process of using SSO in ASP.NET Core apps. You’ll also cover its usage inside all application types supported by ASP.NET Core, including MVC, web API, gRPC services, Blazor, and SignalR.

By the end of this course, you will have learned what SSO consists of, what protocols it uses, and how it’s configured inside an ASP.NET Core middleware. You will also have learned how to secure any endpoints, pages, and views supported by ASP.NET Core.

Using Single Sign-On for Securing Applications in ASP.NET Core

YAML

DevOps

Ansible

Jinja2

Configuration management plays a pivotal role in maintaining a stable and organized IT infrastructure by enabling the systematic gathering of information from remote hosts, facilitating server provisioning, and streamlining application upgrades or deployments.

You will learn the core features of Ansible, such as inventory, variables, playbooks, roles, and handlers, which serve as the building blocks for configuration management. You will learn how to write playbooks that define and execute complex orchestration tasks with ease. Next, you’ll learn how to use roles to maintain consistency across configuration management projects and how to harness the power of Jinja2 to apply logic and control structures and generate configuration files dynamically.

After completing this course, you will be equipped with the necessary skills for customizing configurations, organizing automation tasks efficiently, and maintaining a desired state for your infrastructure.

Configuration Management Using Ansible

DynamoDB

Secrets Manager

Migrate an Internet-Scale Online Transactional System to DynamoDB

Python

S3 Bucket

Batch Operations

Resizing Images with S3 Batch Operations and AWS Lambda

Natural Language Processing

Neural Networks

Deep Learning

Transformers

Pandas

PyTorch

Scikit-learn

Text Classification Using PyTorch

Machine Learning

Reinforcement Learning

Gymnasium

Matplotlib

Robotics

Teaching a Robot to Walk Using Deep Reinforcement Learning

Generative AI

Data Science

Learn to Code

Java

Learn about the core AWS's services like compute, storage, networking services and how they work with other services like Identity, Mobile,  Routing, and Security. This course provides you with a good grasp an all you need to know of AWS services.

This course has been designed by three AWS Solution Certified Architects who have a combined industry experience of 17 years.  We aim to provide you with just the right depth of knowledge you need to have.

Learn the A to Z of  Amazon Web Services  (AWS)

In this course, you will learn the ins and outs of the AWS Solutions Architect exam, where you will have the opportunity to practice with 6 different practice exams. The information in this course relates to the latest SAA-C02 version of the exam blueprint that was released on March 23, 2020 and replaces the previous SAA-C01 exam as of June 30, 2020.

In the exam, you will cover a broad set of AWS services including: Amazon FSx, High Performance Computing, Amazon Aurora, AWS Global Accelerator, AWS Organizations, AWS Resource Access Manager, AWS Database Migration Service, and AWS DataSync.

The benefit of putting all of the exam-specific information together into one course is to provide a centralized, detailed list of the facts you need to know before you take the exam. This will shortcut your study time and maximize your chance of passing the AWS Certified Solutions Architect exam first time.

We hope you get great value from this popular resource that has been well received by 50,000+ students.

AWS Certified Solutions Architect Associate Exam Prep

This is not your typical AWS reference course. You won’t find most of the knowledge that's shared here in the AWS docs. The goal here is to help you realize which AWS features you’d be foolish not to use — features that have passed the test of time by being at the backbone of most things on the Internet.

In this course, you'll learn a technique used to help make reliable technical choices without getting paralyzed in the face of so many options. You’ll start by going through the most fundamental services AWS offers such as DynamoDB, S3, EC2. Each section breaks down how it’s used, the pros and cons, why you should (or shouldn't) be using it, and more.

This course was written by a former Amazon engineer with 15 years of experience working on AWS.

The Good Parts of AWS: Cutting Through the Clutter

In this course, you will work from the ground up, starting with what Terraform is and the problems it solves. The course will then guide you through the features of Terraform.

You will build on your knowledge with the end goal of you being comfortable building projects using Terraform.

Terraform: From Beginner to Master with Examples in AWS

In the world of modern development, serverless computing has become table stakes. Serverless computing has seen a major uptake with AWS Lambda having an increased adoption of 667% in 2018. Companies are making the switch to serverless for shorter time to market and decreased operational costs, but for you the advantage lies in the ability to offload the burden of managing infrastructure to serverless platforms, so you can focus on building even better apps.

In this course, you will learn how to run serverless applications using AWS Lambda. You’ll start with the basics such as creating a web service where you’ll learn the steps to deploy an AWS Serverless Application Model (SAM). You’ll then move on to more advanced topics such as handling HTTP Requests, using external storage, and managing sessions and user workflows. By the end of this course, you will be ready to work with AWS Lambda in a professional setting, and you’ll have a great, transferable skill that employers will love to see.

Running Serverless Applications with AWS Lambda

This course teaches you how to set up and automate continuous integration and continuous delivery with AWS DevOps.

Many companies still use the waterfall methodology in their delivery process. This course will help them understand the pitfalls and drawbacks of the waterfall methodology and how DevOps addresses those problems. 

You’ll learn about the different phases that make up a DevOps pipeline and the core AWS services used in each phase. You’ll also gain an understanding of leveraging other monitoring services provided by AWS and learn how to make the delivery pipeline more agile and error-proof. Finally, you’ll learn about the various deployment strategies used in production to maintain high availability.

With practical examples, hands-on exercises, and real-world scenarios, you’ll gain the skills and confidence to transform your development process, optimize software delivery, and achieve greater efficiency and success. Enroll now and harness the power of AWS DevOps to automate your CI/CD pipeline and enhance the reliability and quality of your software.

Automating a CI/CD Pipeline with AWS DevOps

How to Write Policies, Control Access, and Secure an AWS Account

This course is about how AWS IAM works and how to write policies to control access in an AWS account. In this course, you will learn how AWS APIs work, explore different parts of the requests made to the APIs and elaborates on how access is determined. Additionally, you will dive into how to configure access inside AWS by describing the policy structure and the 5 policy types AWS supports.

Further, you will become familiar with how the elements in the request and the policies fit together. You will also determine whether the operation is allowed or denied by demonstrating through several step-by-step realistic examples that show exactly how IAM evaluates access, thus providing templates for how to apply these protections to AWS environments.

Lastly, this course offers you some practical tips on how to secure an account both as an administrator and as a developer. It explains the best practices and the usual pitfalls of AWS security.

AWS Security Fundamentals: A Practical Guide to AWS IAM

In today’s world, it is crucial to understand how to configure and design an efficient network architecture for your infrastructure. In this course, you’ll learn about Amazon Virtual Private Cloud (VPC) which allows you to create a logically isolated virtual network in the cloud for resource placement. 

You’ll learn the fundamentals of network addressing, including classful and classless addressing. You’ll understand the core concepts of Amazon VPC and its related components while doing hands-on using Amazon CLI. Next, you’ll implement Amazon VPC flow logs for enhanced VPC logging and monitoring. You’ll finish learning some advanced VPC concepts. You’ll also explore how VPCs enable you to improve the security of your application by utilizing various Amazon VPC features.  

By the end of this course, you’ll be able to architect your cloud network infrastructure on AWS involving VPCs and define networking rules to create a secure cloud networking environment.

A Complete Guide for Virtual Private Cloud Using AWS

API Gateway is an important component of the AWS serverless stack and has great potential to enable low latency, low-cost, and secure applications. This course takes you through all aspects of the AWS API Gateway and contains ready-to-use code snippets to implement different patterns of serverless API development in AWS. 

You’ll learn core concepts and get hands-on experience with core API Gateway capabilities. You’ll also dive deep into data mapping and WebSocket APIs and build a fully functional multi-user chat application with WebSocket API. You’ll learn about various services that can integrate with the API Gateway. Throughout the course, you’ll use IaC to provision resources, coupled with an introduction to CloudFormation. You’ll conclude the course by building a fully functional chat application with a bot that listens to the conversation and sends random jokes when asked.

Through detailed lessons covering theoretical and practical knowledge, this course helps you master the AWS API Gateway service.

AWS API Gateway: The Unsung Warrior

generative-ai

Hands-on experience with Generative AI models for cutting-edge applications using LLMs and diffusion models for content generation and more.

Generative AI (GenAI) is an exciting new frontier of technology that opens up seemingly endless creative possibilities. This course provides a glimpse of generative models’ capability by showcasing some of their most impressive applications. It will empower you to leverage GenAI and large language models (LLMs) like DALL·E and GPT-2. 

You’ll learn about the evolution of machine translation systems, from the early 1950s to the current state-of-the-art generative models. You’ll learn about the building blocks of Transformer networks, including CNNs, RNNs, etc. This will be supplemented by an overview of the components of a GenAI system. Next, you’ll learn about transformer models and their variations: Vision Transformers (ViT) and multimodal transformers. 

You’ll explore the state-of-the-art models for text, image, and video generation models through the practical exercises. You’ll dive deep into the impact of GenAI across fields and industries, fueling the development and launch of GenAI-based products.

Generative AI: From Theory to Product Launch

The transformer, a cutting-edge deep learning architecture, plays a pivotal role in Natural Language Processing (NLP) tasks. Leading NLP models like BERT, GPT, and T5 are based on the transformer. BERT, in particular, has revolutionized NLP by delivering state-of-the-art results.

This course is your entry into Google's BERT architecture. It begins with the basics of transformers and covers encoder and decoder mechanisms. You will learn to pre-train and use BERT. Exploring various BERT variants and related models, like M-BERT and VideoBERT, is also on the agenda.

After completing this course, you will be adept at using BERT and its variants for practical NLP tasks. This journey will equip you to excel in the dynamic world of language processing and understanding.

Getting Started with Google BERT

Prompt engineering means designing high-quality prompts that guide machine learning models to produce accurate outputs. It involves selecting the correct type of prompts, optimizing their length and structure, and determining their order and relevance to the task. 

In this course, you’ll be introduced to prompt engineering, a form of generative AI. You’ll look at an overview of prompts and their types, best practices, and role prompting. Additionally, you’ll gain a detailed understanding of different prompting techniques. The course will also explore productivity prompts for different roles. Finally, you will learn to utilize prompts for personal use, such as preparing for interviews, etc. 

By the end of the course, you will have developed a solid understanding of prompt engineering principles and techniques and will be equipped with the skills and knowledge to apply them in their respective fields. This course will help to stay ahead of the curve and take advantage of new opportunities as they arise.

All You Need to Know About Prompt Engineering

interview-prep

With thousands of potential questions to account for, preparing for the coding interview can feel like an impossible challenge. Yet with a strategic approach, coding interview prep doesn’t have to take more than a few weeks. Stop drilling endless sets of practice problems, and prepare more efficiently by learning coding interview patterns.

This course teaches you the underlying patterns behind common coding interview questions. By learning these essential patterns, you will be able to unpack and answer any problem the right way — just by assessing the problem statement. This approach was created by FAANG hiring managers to help you prepare for the typical rounds of interviews at major tech companies like Apple, Google, Meta, Microsoft, and Amazon.

Before long, you will have the skills you need to unlock even the most challenging questions, grok the coding interview, and level up your career with confidence.

This course is also available in JavaScript, C++, Java, and Go — with more coming soon!

Grokking Coding Interview Patterns in Python

This course immerses the learner into the design of systems and makes them ready for any new design problems.

System Design interviews are now part of every Engineering and Product Management Interview. Interviewers want candidates to exhibit their technical knowledge of core building blocks and the rationale of their design approach. This course presents carefully selected system design problems with detailed solutions that will enable you to handle complex scalability scenarios during an interview or designing new products. 

You will start with learning a bottom-up approach to designing scalable systems. First, you’ll learn about the building blocks of modern systems, with each component being a completely scalable application in itself. You'll then explore the RESHADED framework for architecting web-scale applications by determining requirements, constraints, and assumptions before diving into a step-by-step design process. Finally, you'll design several popular services by using these modular building blocks in unique combinations, and learn how to evaluate your design.

Grokking Modern System Design Interview for Engineers & Managers

System design is an important component of any ML interview. Being able to efficiently solve open-ended machine learning problems is a key skill that can set you apart from other engineers and increase the level of seniority at which you’re hired.

This course helps you build that skill, and goes over some of the most popularly asked interview problems at big tech companies. You’ll walk step-by-step through solving these problems, focusing in particular on how to design machine learning systems rather than just answering trivia-style questions. 

Once you’re done with the course, you’ll be able to not just ace the machine learning interview at any tech company, but impress them with your ability to think about systems at a high level. If you have a machine learning or system design interview coming up, you’ll find the course tremendously valuable.

Grokking the Machine Learning Interview

javascript

Jan/2021 Updated to include ES2021

Whether you are a complete beginner or you have some knowledge of JavaScript, this course will guide you from the basics of the language to all the new features introduced up until 2021.  You’ll test your knowledge with quizzes and some coding challenges at the end of each chapter. 

After following this course, the functions and variables let, const, generators, promises and async won't be a problem anymore.

If you want to experience something new, this course also includes an introduction to the basics of TypeScript, which is a must-know for any JavaScript developer.

The Complete Guide to Modern JavaScript

After teaching React extensively (33.000+ students), be it online for a larger audience or on-site for companies transitioning to web development and React, I always come to the conclusion that React is all about JavaScript. Most of it boils down to JavaScript ES6 and beyond features and syntax, but also ternary operators, shorthand versions in the language, the 'this' object, JavaScript built-in functions (map, reduce, filter) or more general concepts such as composability, reusability, immutability or higher-order functions. While you don’t need necessarily to master all of these before starting with React, they will come up while practicing it and so to learn them will put you at a great advantage. 

This course is my attempt to give you comprehensive JavaScript skills that will make your React journey smooth and straight-forward.

JavaScript Fundamentals Before Learning React

HTML, CSS, and JavaScript: The trinity of web development technologies. If you’re looking to get ramped up on front-end development, this course is for you. You'll find it particularly useful if you're coming from some other area of software development, although prior experience is not required. 

In this course, you will start with a short tour of HTML, CSS, and JS. You’ll get to experiment with them through examples that explain their role and behavior. From there, you will then dive deep into each technology, exploring concepts like forms and controls in HTML, OOP in JavaScript, and the most important CSS patterns to make your web pages look good.

By the end of this course, you will be able to make your own web applications that are responsive, stylized, and performant.

Web Development: Unraveling HTML, CSS, and JavaScript

python

A course designed to teach you the basics of Python 3 from the ground up.

Data structures and algorithms are among the most fundamental concepts of Computer Science. Whether it’s real-world problems you’re trying to solve or the typical coding question asked in an interview, almost every problem requires you to demonstrate a deep understanding of data structures and algorithms. 

This course is a detailed review of some of the most common data structures and algorithms that you’ll see in interviews and your everyday work. With implementation details, thorough explanations, and hands-on coding exercises, you’ll quickly gain the confidence you need to solve any problem, no matter the situation.

Data Structures and Algorithms in Python

Python is one of the most popular coding languages today; it's categorized as a vital benchmark of computer science knowledge in industry interviews. This highly interactive course is an accelerated introduction to Python. It is intended for users who are already familiar with the fundamentals of programming and aims to teach the Python programming language using a practical approach. It not only covers the basic Python syntax but also teaches methods specific to Python3. With most companies already switching from Python2 to Python3, this version of Python is the future.

Before moving on to more complex and powerful tools, we’ll examine the fundamentals of the language. You can also experiment with the code provided and, therefore, gain a higher understanding of how things work. This course is perfect for anyone who works as a Python developer and wants to recognize its full potential. Happy learning!

Full Speed Python

Learn to write cleaner, more modular, and more scaleable code in Python by gaining a master of Object Oriented Programming (OOP). 

You'll start with the basics of object oriented programming and build up to more advanced concepts such as inheritance, information hiding, and polymorphism. Along the way you'll learn how each concept applies to Python in particular, as well as how various Python features make it particularly convenient for OOP.

This course is filled with hands-on coding challenges, playgrounds, snippets, and illustrations to keep things interactive.

Learn Object-Oriented Programming in Python

rust

A complete guide to programming with the Rust programming language, targeted at new and experienced programmers alike.

Rust is quickly becoming one of the most popular languages. With a strong basis as a systems and embedded language, its clean design and ergonomics makes it an emerging choice for general purpose programming tasks as well. This course will be your guide to the fundamentals of programming and Rust. Whether you have no experience or want to learn a new language, this is the place to start.

In this course, you’ll start off with the basics of the Rust programming language, learning the syntax, the philosophy of the language, and the anatomy of Rust. With that in hand, you’ll move onto some of the more unique parts of Rust, such as expression-oriented programming, ownership, and its strong type system.

In the latter half of the course, you’ll work through some of the core components of Rust such as references, memory management, mutability, traits, slices, and generics.

By the time you finish, you’ll have the foundations in place to learn more advanced concepts and take your Rust programming to the next level.

The Ultimate Guide to Rust Programming

In this course, you will learn how to use Rust to build scalable websites that are highly performant. 

More specifically, you will learn the fundamentals of Rust for web development including types, ownership, macros, and more. Later on this course, you will move onto more advanced web development concepts like working with databases, backend architecture, as well as frontend, giving you the opportunity to develop your full-stack skills.

Throughout each chapter, you will have the chance to work on building out a real project which can be used in your portfolio and shown to employers. 

By the end of this course, you will be able to build websites with scalability in mind.

Scalable Web Development in Rust

Rust is an exciting programming language that combines the power of C with modern memory safety, efficient concurrency, and various productivity boosters. With its low-level memory access and high-level support of functional programming, Rust improves power and performance while providing protection against common bugs.

In this course, you’ll learn Rust with a hands-on, project-based approach through game development. You’ll be introduced to Rust as you design and build a complete, playable game. You’ll start with a development environment in Cargo before exploring Rust’s core functions and building a variable data array. With this knowledge, you’ll build a complete game with player management, scorekeeping, and the various modules of a dungeon crawler.

By the end of this course, you’ll be able to capture data, use it to build loops into your code that drive the game engine, update objects, and procedurally generate maps. You’ll have a hands-on understanding of Rust.

Hands-On Game Development with Rust

Harness Rust's powerful data structures system and become a Rust data wizard through real-world examples and hands-on projects.

Rust is a fast-growing, modern programming language oriented to system programming that guarantees memory and thread safety. It enables you to eliminate many classes of bugs at compile-time. This course covers all the skills needed to work with real-world data using Rust. 

In this course, you’ll learn all the basics of intermediate Rust programming. You’ll discover and master the five data-related skills: data input, storage, serving data, analyzing data, and data visualization. You’ll learn to ingest data from various formats, like CSV, JSON, web APIs, and web scraping. You’ll also learn to store the data using Redis, an SQL server, or a NoSQL database like MongoDB. Finally, you will learn how to present your data in meaningful visualizations, web maps, and reports. 

After taking this course, you’ll be able to approach data using Rust with confidence. You’ll be able to manage SQLite, ORM SQL, and NoSQL databases in Rust. You’ll learn the basics of web scraping, data analysis, and machine learning in Rust.

Processing Real-world Data Efficiently with Rust

This course provides insights into Rust’s unique features by exploring them in 24 brain-teasing puzzles. Each puzzle is explained in its following lesson. Complete all 24, and by the time you’re done, your knowledge about different concepts in Rust will definitely be improved, and you will be ready to move on to more advanced concepts.

Rust Brain Teasers

The ability to work SQL is becoming an increasingly in-demand skill, both for software developers and people in less technical roles. If you’re interested in learning SQL and have no prior experience with it, then this course will be your light in a dark tunnel.

You’ll start by covering the basics of SQL such as how to create a database, how to insert, query, and update data. You’ll also learn fundamental concepts that developers and data scientists use everyday such as multi-table operations, nested queries, and how to set up views. 

Throughout, you’ll get to execute SQL queries in your browser and see results in real-time - you won’t need to worry about set-up.

At the end of this course, you’ll also get some hands-on practice with common SQL interview questions, so when the time comes, you’ll be ready and confident to answer any question that comes your way. Let’s get started!

My Starter Pack

Learn with Courses, Skill Paths & Projects

Explore the catalog

Popular Categories

Python

Generative AI

Data Science

Learn to Code

Java

Recommended for you

Get Started With Our Free Courses

Check Our New Additions

Browse All