Managing Aurora DB Credentials and API Keys Using Secrets Manager

Working with NoSQL Databases: A Beginner's Guide to AWS DynamoDB

Getting Started with Amazon Keyspaces

Migrate an Internet-Scale Online Transactional System to DynamoDB

Deploy Elastic Container Registry Image with Elastic Beanstalk

Getting to Know Amazon CloudWatch

Deploying Web Applications Using Elastic Beanstalk

Controlling VPC Traffic Using Network ACLs

Managing Data Access with Amazon S3 Access Points

Rust Brain Teasers

Getting Started with TypeScript ORM Libraries for Node.js

Rails for Front-end Development: Essential Tools

Master State Management in Flutter

Learn Functional Programming in PHP

Reactive Programming with Angular and RxJS 7

A Beginner's Guide to Deep Learning

Computer Programming for Absolute Beginners

All About JUnit5

Learn the intricacies of AdonisJS and become a proficient AdonisJS developer.

Become an AdonisJS Developer

Become an EmberJS Developer

Learn the basics of HTML, CSS styling, JavaScript, and the details of Ionic and React to build a fully functional mobile application.

Android Development with Ionic and React

Boost your skills by learning one of the best modern languages that specializes in writing scalable and distributed applications.

Become an Elixir Programmer

Learn everything you’ll need to prepare for your coding interviews in C++.

Ace the C++ Coding Interview

Enhance your chances of becoming a professional by increasing your knowledge and expertise in the field with Elixir professional training.

Become an Elixir Professional

Grok the coding interview by mastering 77 of the most challenging interview questions, and elevate your career with confidence!

Educative-77 in C++: Accelerate Your Coding Interview Prep

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

Grokking Blind 75 in C++: Mastery through Coding Patterns

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

Grokking Grind 75 in C++: Mastery through Coding Patterns

Deep Learning Fundamentals

Quantum Computation

HTML Fundamentals

C Fundamentals

JavaScript Fundamentals

Python Fundamentals

Machine Learning Fundamentals

Data Science Fundamentals

Operating System Fundamentals

Creating an E-learning Website Using Django

Create a REST API With Django

Build an E-learning Website with the MERN Stack

Deploy a Flask Application Using Azure CLI

Sentiment Analysis Using Multinomial Logistic Regression

Image Compression Using DCT with Graceful Quality Degradation

Create a Connect 4 Game Using React Native

Build an E-book Reader in Angular With Gutendex API

Create a Budget App with FERN Stack

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

C++ is a versatile programming language renowned for its efficiency and flexibility. It is used across various industries, from game development to finance and system programming. This course goes into the details of C++ foundations through problem-solving techniques.

You will begin by learning the basics of problem-solving using simple programs and execution sheets and then understand decisions and branching in C++. Next, you will learn C++ basics, repetition with loops, and manipulation of strings and arrays. The course will conclude with a focus on functions and complex program structures, ensuring a comprehensive understanding of the language’s capabilities and best practices.

By the end of this course, you will be equipped with essential problem-solving skills, a deep understanding of C++ basics, and the confidence to write efficient and structured code. You will be ready to tackle real-world programming challenges and pursue opportunities in various industries requiring C++ proficiency.

Learn to Code: C++ for Absolute Beginners

JavaScript is a versatile programming language that enhances the interactivity and functionality of web pages. It is a core technology alongside HTML and CSS, indispensable for building simple websites as well as complex web applications.

This course is a comprehensive introduction to JavaScript programming fundamentals, starting with problem-solving and simple programs. Through hands-on exercises, challenges, and quizzes, you will learn about control structures, loops, strings, arrays, and functions, eventually gaining mastery. 

By the time you’re done with the course, you will have acquired problem-solving skills, a strong foundation in JavaScript programming, and a solid understanding of control structures, loops, strings, and arrays. This mastery of JavaScript will significantly boost your employability and open doors to diverse career opportunities in software development.

Learn to Code: JavaScript for Absolute Beginners

Java is a high-level, object-oriented language known for its portability and reliability. Mastering Java is key for developers to build scalable, secure software efficiently.

In this course, you will start by mastering the art of problem-solving with simple Java programs, such as the Bottle Filling example. You will learn how to structure your solutions, create execution sheets, and enhance your problem-solving abilities through practical exercises and quizzes. Progressing further, you will learn decision-making and branching in Java, understanding flowcharts, conditional expressions, and their application. You will also learn about Java basics, including the first Java program, fundamentals, conditional statements, and error categories, followed by in-depth lessons on working with Java strings and arrays. 

By the end of this course, you will have a solid understanding of Java programming fundamentals and the ability to solve real-world problems using Java.

Learn to Code: Java for Absolute Beginners

Ruby programming, a sought-after language, is known for its simplicity and readability. This course is designed for beginners and comprehensively introduces Ruby, focusing on mastering fundamental programming concepts through problem-solving techniques.

You will begin with foundational topics like systematic problem-solving and simple program development, then advance to learning decision-making, loops, strings, and arrays in Ruby. You’ll use practical exercises, quizzes, and hands-on coding challenges to strengthen your skills and build a robust understanding of Ruby programming.

After completing this course, you’ll possess valuable, in-demand skills that can significantly boost your career opportunities in the tech industry.

Learn to Code: Ruby for Absolute Beginners

C# is a powerful and versatile programming language known for its simplicity and robustness. This makes it ideal for developing a variety of software applications, including games and enterprise solutions.

In this comprehensive C# course, you’ll start by learning the fundamentals of C# programming, from writing your first C# program to understanding core concepts and effectively managing different types of errors. You’ll then explore more complex topics, such as loop structures for repetition, manipulation of strings and arrays, and best code organization and reusability practices.

After completing this course, you’ll be well-equipped to pursue opportunities in industries like finance, gaming, and enterprise software development. With your enhanced C# skills, you can develop high-performance, user-friendly applications across various platforms, advancing your career in the competitive field of software development.

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

Hands-on Entity Resolution with Python-v3.png

Grow My Skill Set

Python

Data Pipeline

Entity Resolution

NetworkX

Pandas

Scikit-learn

A typical business stores data across multiple systems, including ERPs for operations, a CRM for marketing, files, notebooks, and BI apps for other purposes. Records of the same customer (entity) exist in multiple places, likely not in sync across nor unique within sources. This inconsistent situation generates an opportunity for us to drive business value by cross-referencing and deduplicating records with entity resolution.

This course covers business acumen and hands-on coding. It starts with several business cases and a quick introduction to entity resolution in Python. Then, it explores semantic-preserving preprocessing, similarity feature engineering, graph clustering, weak supervision, confident learning, and integration.

As a developer, you’ll increase your company’s business value by developing and deploying entity resolution pipelines. As a decision-maker, you’ll know which solution best suits your business cases and how to negotiate the best value for your money.

An Introduction to Entity Resolution in Python

Microservice Architecture

Back-end Development

Django REST framework

Docker Containerization

SQLite

Unleashing Django’s Power: Building Agile Microservices

JavaScript

Solidity

Blockchain

Next.js

InterPlanetary File System

Ethereum

HardHat

Build an NFT Marketplace dApp

Learn R from basics to advanced topics, including matrix algebra operations and a project to build a personal website.

Become a developer

Web Development

Matrix Algebra

RcppArmadillo

RcppEigen

Rcpp

Sass

GitHub

R is one of the major programming languages for working with big data. It’s been used for years due to its robust statistical functionality, outstanding graphing ability, and extensibility through packages. There’s a high demand for R professionals in the market with highly competitive salaries. This Skill Path will take you through the essentials of R that you need to know to confidently code in it. You’ll start with the very basics and work your way up to advanced concepts, such as exception handling. You will also learn how to code matrix algebra operations in R, which is the foundation of machine learning, signal processing, image processing, and many other popular algorithms. This Skill Path will also walk you through building a personal website using R. By the end, through a combination of lessons, coding playgrounds, and challenges, you’ll emerge with a comprehensive understanding of R programming and its application.

Become an R Developer

NestJS

In this course, you will cover NestJS, a framework used to build efficient and reliable server-side applications. Using this framework, developers can make highly scalable backend applications that can be consumed with any type of frontend. 

You will start the course by learning the foundational blocks of NestJS, such as understanding modules, services, and controllers. Next, you will learn how to build REST API, validation and error handling. You will also learn database integration using TypeORM, app configuration using environment variables, authentication, and authorization using JWT tokens. You will complete this course by learning automated testing and application logging.

After completing this course, you will be equipped with all the necessary skills to build scalable backend applications using NestJS, and that will also advance your career in backend development.

Building a Back-End Application with NestJS

IndexedDB

Front-end Development

In this course, you will learn about IndexedDB, a powerful web-based storage system essential for building efficient and scalable web applications that require client-side storage. 

You will start this course by understanding the basics of IndexedDB, including accessing and connecting to databases, managing database versions, and performing fundamental operations such as listing and deleting databases. Next, you’ll explore the core concepts of object stores and transactions. You’ll learn how to create object stores and store and retrieve data from these stores. You’ll then progress to advanced topics, exploring indexes and cursors, understanding their creation and usage, and honing your skills in optimizing data access. You’ll end the course by creating a to-do list project using the concepts learned.

By the end of this course, you will possess the knowledge and skills to work proficiently with IndexedDB, opening up new possibilities for your web development projects.

Building a Web Application with JavaScript and IndexedDB

Cloud

DynamoDB

Configuring Role-Specific Temporary Access to an AWS Account

Flow Logs

Athena

CloudWatch

Monitoring IP Traffic Using VPC Flow Logs

Deep Learning

Natural Language Processing

Word2Vec

Gensim

TensorFlow

Deep Learning for Email Classification with LSTM and Word2Vec

Learn to Code

Generative AI

Java

Data Science

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

Engineering leaders serve as a backbone of an organization and play a significant role in how a company operates. Companies invest significantly in hiring good managers through an interview process designed to measure a broad spectrum of candidates’ technical and leadership competencies. 
In this course, you’ll examine the interview process, understand the engineering management hierarchy and learn about the leadership phone screen. You’ll explore various engineering management aspects, including people management, project management, organization building, managing collaborations, and personal strengths. Next, you’ll explore good interview questions and possible good answers. 
By the end of this course, you’ll have a deeper understanding of the engineering leadership interview process, leadership skills, and the ability to articulate situational stories from past experiences. You’ll also learn the importance of building a story bank to recall relevant experiences during the interviews effectively.

Grokking the Engineering Management and Leadership Interviews

In this course, you will work through the most common interview questions that are asked in a technical program manager interview. Written by a TPM who has worked at multiple FAANG companies, you will get the inside scoop on what it takes to pass this difficult interview.

Beyond that, you will also get practical advice on the role of a TPM and how to thrive in this role. By the end of this course, you will have the confidence to ace your interview and be well equipped to perform on the job.

Hacking the TPM Interview

Many times, it’s not your technical competency that holds you back from landing your dream job, it’s how you perform on the behavioral interview.

Whether you’re a software engineer, product manager, or engineering manager, this course will give you the tools to thoroughly prepare for behavioral and cultural questions. But beyond even technical roles, this would be useful for anyone, in any profession.

As you progress, you'll be able to use Educative's new video recording widget to record yourself answering questions and assess your performance.  By the time you’ve completed the course, you'll be able to answer any behavioral question that comes your way - with confidence.

Grokking the Behavioral Interview

Concurrency in Java is one of the most complex and advanced topics brought up during senior engineering interviews. Knowledge of concurrency and multithreading can put interviewees at a considerable advantage. This course lays the foundations of advanced concurrency and multithreading and explains concepts such as Monitors and Deferred Callbacks in depth. It also builds simple and complete solutions to popular concurrency problems that can be asked about in interviews like the Reader-Writer Problem and the Dining Philosopher Problem. While prior knowledge of concurrency is not required to follow through with this course, familiarity with the very basics of concurrency would be helpful.

Java Multithreading for Senior Engineering Interviews

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, Python, Go, and C++ — with more coming soon!

Grokking Coding Interview Patterns in Java

With hundreds of potential problems to design, preparing for the object-oriented design (OOD) interview can feel like a daunting task. However, with a strategic approach, OOD interview prep doesn’t have to take more than a few weeks. 

In this course, you’ll learn the fundamentals of object-oriented design with an extensive set of real-world problems to help you prepare for the OOD part of a typical software engineering interview process at major tech companies like Apple, Google, Meta, Microsoft, and Amazon.

By the end of this course, you will get an understanding of the essential object-oriented concepts like design principles and patterns to ace the OOD interview. You will develop the ability to efficiently breakdown an interview design problem into multiple parts using a bottom-up approach. You will be familiar with the scope of each interview problem by accurately defining the requirements and presenting its solution using class, use case, sequence, and activity diagrams.

Grokking the Low Level Design Interview Using OOD Principles

This course prepares an applicant for senior-level API designing.

Designing an API is an involved activity where the goal is to make sense of complex requirements. A designer is expected to understand requirements and steer the design in a cohesive way. Design activity often covers a lot of breadth and targets specific depth topics. 

You’ll design APIs of well-known systems, such as YouTube, Stripe, Zoom, and more. You’ll also learn how they fit in the bigger product. You start with a discussion of recurring concepts so that we could use them freely as building blocks. Then, meeting functional requirements by tracing the lifespan of each API call from the client to the service. Next, you’ll learn to use a reference back-end implementation to show how an API call does its work. Reducing client-visible latency will be one of the main goals you will learn while making a competitive API and product.

This course will get you ready for an API design interview. It observes the systems from a clients’ perspective and reveals how client calls interact with the back-end system.

Grokking the API Design Interview

Get a firm grasp on the inner workings of the most common data structures. Tackle common interview coding problems and analyze your solutions.

Data structures are amongst the most fundamental concepts of Computer Science. The data structure chosen can make or break an entire computer program. Consequently, they are also largely categorized as a vital benchmark of computer science knowledge when it comes to industry interviews. This course contains a detailed review of all the common data structures and provides implementation level details in Python to allow readers to become well equipped. Now with more code solutions, lessons, and illustrations than ever, this is the course for you!

Data Structures for Coding Interviews in Python

If you’ve ever struggled with solving coding problems using recursion, or if you need to brush up your recursion skills for an interview, this course is for you! We will start with the basics of recursion before we practice solving actual coding problems. You’ll have access to detailed explanations and visualizations for each problem to help you along the way.

By the time you have completed this course, you’ll be able to use all the concepts of recursion to solve complex, real-world problems. We hope that this course will help you ace all the recursion related questions during interviews at top tech companies!

Recursion for Coding Interviews in Python

learn-to-code

This course helps the learner to learn basic Python programming using execution sheets and flow charts.

In this beginner-friendly course on SQL, you will dive into the world of structured query language, gradually mastering its core concepts. Through hands-on projects, you will navigate the essentials of SQL without overwhelming emphasis on programming intricacies.

Starting with fundamental keywords like SELECT, FROM, and WHERE, you will build a solid foundation for crafting SQL queries. As you progress, you will gradually encounter additional keywords that complement these basics, such as DISTINCT, ORDER BY, GROUP BY, and aggregate functions, which play a pivotal role in refining your SQL skills.

Toward the end of the course, you will also gain insights into creating tables and effectively managing the information stored within these tables.

Learn SQL from Scratch

Begin your developer journey with university-grade skills. From your first line of code to job-ready expertise, this structured path paves your way to success.

Launch a developer career with the skills you learn in a bootcamp or university. Confidently progress from your first line of code to your first day on the job with our structured lessons packed with interactive quizzes, projects, and playgrounds.

Learn to Code: Become a Software Engineer

machine-learning

Machine learning is the future for the next generation of software professionals.

This course serves as a guide to machine learning for software engineers. You’ll be introduced to three of the most relevant components of the AI/ML discipline; supervised learning, neural networks, and deep learning. You’ll grasp the differences between traditional programming and machine learning by hands-on development in supervised learning before building out complex distributed applications with neural networks. You’ll go even further by layering networks to create deep learning systems. You’ll work with complex real-world datasets to explore machine behavior from scratch at each phase.

By the end of this course, you’ll have a working knowledge of modern machine learning techniques. Using software engineering, you’ll be prepared to build complex neural networks and wrangle real-world data challenges.

Fundamentals of Machine Learning for Software Engineers

Machine Learning System Design is an important component of any ML interview. The ability to address problems, identify requirements, and discuss tradeoffs helps you stand out among hundreds of other candidates. Readers of this course able to get offers from Snapchat, Facebook, Coupang, Stitchfix and LinkedIn. 

This course will help you understand the state of the practice on model techniques along with best practices in applying ML models in production at scale. Once you finished the course you can learn more use-cases at: http://mlengineer.io/

Once you're done with the course, you will be able to apply and leverage knowledge from top researchers at tech companies. You will have up to date knowledge in model techniques from hundreds of the latest research and industry papers. There is even a chance that the interviewers will be surprised at the depth of your knowledge.

Machine Learning System Design

If you're a software engineer looking to add machine learning to your skillset, this is the place to start. 

This course will teach you to write useful code and create impactful machine learning applications immediately. From the start, you'll be given all the tools that you need to create industry-level machine learning projects. Rather than reading through dense theory, you’ll learn practical skills and gain actionable insights. Topics covered include data analysis/visualization, feature engineering, supervised learning, unsupervised learning, and deep learning. All of these topics are taught using industry-standard frameworks: NumPy, pandas, scikit-learn, XGBoost, TensorFlow, and Keras.

Basic knowledge of Python is a prerequisite to this course.

This course was created by AdaptiLab, a company specializing in evaluating, sourcing, and upskilling enterprise machine learning talent. It is built in collaboration with industry machine learning experts from Google, Microsoft, Amazon, and Apple.

Machine Learning with NumPy, pandas, scikit-learn, and More

This course is designed to provide you with an easy-to-follow, structured, incremental, and from-first-principles approach to learning PyTorch. In this course, you’ll be introduced to the fundamentals of PyTorch: autograd, model classes, datasets, data loaders, and more. You will develop, step-by-step, not only the models themselves but also your understanding of them. You'll be shown both the reasoning behind the code and how to avoid some common pitfalls and errors along the way. By the time you finish this course, you’ll have a thorough understanding of the concepts and tools necessary to start developing and training your own models using PyTorch.

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