Mastering AWS Lambda Layers

Using Amazon OpenSearch Service for Data Ingestion

Controlling VPC Traffic Using Network ACLs

Translate Natural Language to Athena Queries with Amazon Bedrock

Understanding AWS IoT Core with Lambda

Building Private APIs Using API Gateway

Managing Ephemeral and Persistent Storage on Amazon EKS

Speech Synthesis Using Amazon Polly

Creating a Lambda Function with a Container-Based Runtime

Master AWS Certified Solutions Architect Associate SAA-C03 Exam

Master AWS Certified Developer – Associate (DVA-C02) Exam

Master AWS Certified Cloud Practitioner CLF-C02 Exam

Data Science in Production: Building Scalable Model Pipelines

Learn React 19: The Complete Guide to Modern Web Apps

Master AWS Certified AI Practitioner AIF-C01 Exam

CI/CD Using Native Tools Available on AWS

Fundamentals of Machine Learning: A Pythonic Introduction

Learn Python 3 Fundamentals

Generative AI is transforming industries, creating demand for LLM engineers. Learn to build, optimize, and deploy AI solutions, unlocking new career opportunities in this fast-growing field.

Become an LLM Engineer

Learn Python and become a data scientist. Master data acquisition, data manipulation, and data analysis with pandas and visualize large datasets using Matplotlib and NumPy for powerful data insights.

Become a Data Analyst

Agentic AI is the future of automation. Master the skills to design, build, and deploy complex autonomous systems, from core principles to advanced architectures.

Become an Agentic AI Expert

Learn C++ from scratch, and get hands-on with one of the most popular programming languages in the world.

Become a C++ Programmer

This Skill Path covers Python fundamentals, machine learning techniques and algorithms through practical exercises, preparing you as a machine learning engineer for real-world applications.

Become a Machine Learning Engineer

This Skill Path takes you from your first line of code to preparing you for your first job as a Java developer.

Become a Java Developer

Master PyTorch, GANs, Transformers, and LLMs for real-world AI tasks.

Developing Large Language Models

Learn C++ programming with this Skill Path for beginners. Learn C++ fundamentals, OOP concepts, and gain hands-on experience to become a C++ developer.

Become  a C++ Programmer

Get ready to have job-ready skills to confidently use Spring Boot in your next project.

Become a Spring Boot Developer

SQL Fundamentals

Relational Database Design

Golang Fundamentals

Node.js Fundamentals

Generative AI Fundamentals

Mathematical Logic

Scikit-learn Fundamentals

Object-Oriented Programming in Java

OOP in C++

Build a Blockchain from Scratch in Go

Intelligent Text Assistant for Prediction and Sentence Completion

Build a Weather App Using Angular and RxJS

Build a Python Airline Reservation System

Deploy a Django Application Over Amazon EKS

Deploying a Ruby-on-Rails Application on AWS Using SAM

Setting up a Streaming Data Pipeline With Kafka

Build a CV Generator using Django

Create Your Own Language Models from Scratch

This course helps you learn C++ programming fundamentals through execution sheets and flowcharts, making it ideal for C++ for beginners and aspiring C++ developers.

C++ is a versatile language known for its efficiency and flexibility, widely used in industries like game development, finance, and system programming. This course dives deep into C++ programming foundations, focusing on practical problem-solving techniques.
You will start by learning basic problem-solving skills using simple programs and execution sheets. Then, you'll explore decision-making, branching, loops, and manipulation of strings and arrays using C++ programming. Finally, the course will cover functions and complex program structures, ensuring a comprehensive grasp of the language's capabilities.
By the end, you will be equipped with problem-solving skills, a solid understanding of C++ basics, and confidence in writing structured code, setting you on the path to becoming a proficient C++ developer.

Learn to Code: C++ for Absolute Beginners

Learn Python step by step with AI as your coding partner. Build real-world projects, practice effective prompting, and finish the course with portfolio-ready applications.

Learn Python with AI- Smarter Projects, Faster Learning (POC).png

Python is a versatile language used in web development and data analysis. With the rise of AI, learning Python is more relevant than ever. 

This course blends Python fundamentals with AI-assisted workflows, giving you a modern way to learn programming and prepare for real-world projects. You’ll start with basics like print statements, variables, decisions, and loops, then move into core data structures. 

Each concept is reinforced through projects such as a receipt generator, smartwatch step tracker, or meal planner. 
You’ll also practice prompting AI to generate, refine, and debug code, building syntax skills and confidence with AI-enabled workflows. The course concludes with a capstone “Budget Tracker” app, where you’ll gather requirements, add features, handle errors, and create a graphical interface. 

With guided lessons, AI support, and six complete projects, you’ll gain practical Python skills and a portfolio of applications to showcase in your career.

Learning Python in the Age of AI

This course is an introduction to JavaScript for beginners, it focuses on JavaScript for web development. Learners will explore fundamental concepts using basic JavaScript programs.

JavaScript is a versatile language essential for web development, working alongside HTML and CSS to build both simple and complex web applications. This course offers a comprehensive introduction to JavaScript for beginners, starting with fundamental concepts like problem-solving and simple JavaScript programs. Through interactive exercises, challenges, and quizzes, learners will master control structures, loops, strings, arrays, and functions.
By the end of this course, you'll have solid problem-solving skills, a deep understanding of JavaScript programming, and practical experience in writing clean, efficient code. This knowledge will prepare you for a successful career as a JavaScript developer and significantly enhance your employability in the tech industry.

Learn to Code: Javascript for Absolute Beginners

This course teaches Ruby for beginners by demystifying the basics of Ruby programming, laying the foundation for becoming a proficient Ruby developer.

The Ruby programming language, known for its simplicity and readability, is perfect for programming beginners. This course introduces core programming concepts and problem-solving techniques, providing a solid foundation in Ruby. You’ll start with basic program development, decision-making, loops, strings, and arrays, reinforced by hands-on exercises, quizzes, and coding challenges.
By the end of the course, you’ll gain essential skills that can advance your career as a Ruby developer in the tech industry.

Learn Ruby

This course introduces the basics of C# programming. It is an ideal resource for beginners aiming to become C# developers.

C# is a versatile and robust language, ideal for developing software applications from games to enterprise solutions. This course introduces C sharp fundamentals, starting with writing your first program and understanding core concepts. You'll progress to more complex topics like loops, string and array manipulation, and mastering best practices for code organization.
By the end, you'll be well-prepared to pursue opportunities as a C# developer in industries like gaming and finance, equipped to create high-performance applications across platforms.

Learn C#

Learn C programming through an adaptive roadmap that adjusts to your level, guiding you from core syntax and memory management to pointers, problem-solving, and advanced performance techniques.

C is a powerful, foundational language that underpins modern software, from operating systems to embedded systems and high-performance applications. It forms the basis for languages like C++ and Java, influencing the design and behavior of many modern programming languages. Learning C helps you understand how programs interact with memory and hardware, giving you deeper insight into how computers work.

This adaptive roadmap tailors your learning path to your experience and goals. Beginners start with C fundamentals like syntax, control flow, and functions. Those familiar with the basics dive deeper into memory and pointers. Learners seeking practice focus on hands-on coding exercises, while puzzle enthusiasts explore C’s quirks through brain teasers. Advanced learners tackle structs, enums, and parallel programming for high-performance systems.

By the end, you’ll be able to write efficient, reliable C programs and gain the low-level understanding that sets expert developers apart.

Learn C Programming

This interactive R course covers everything from the basics, variables, and data types to advanced topics, such as recursion, file handling, and S3/S4 classes in R.

In today’s data-driven world, the ability to analyze large datasets is becoming a vital skill across industries. R, one of the most powerful languages for data analysis.
This interactive R course is designed for beginners, with no prior knowledge of R programming required. You will begin with fundamental concepts, such as R variables, data types in R, and basic functions like R print and R cat. As you progress, you will dive into more complex topics, including R vectors, lists, arrays, matrices, and data frames in R programming. You’ll also learn how to perform operations using arithmetic operators in R, relational operators in R, and logical operators in R. Further, the course covers advanced features like if statements in R, switch statements in R, loops in R, and recursion in R. 
Finally, you’ll gain hands-on experience with file handling in R, exception handling with try and except in R, and object-oriented programming using S3 and S4 classes in R.

Learn R

This course provides the best approach to learn Rust, starting from the basics and advancing to complex topics. It is an introduction to Rust for beginners aspiring to become skilled Rust developers.

The word is out: developers love Rust. It's rapidly becoming a top choice for systems and embedded programmers, and the demand for Rust developers is rising. Known for its performance, reliability, and productivity—especially compared to C++—Rust is a powerful language to master. If you're a systems developer, it's a fantastic next step.
In this course, you'll learn Rust by actively engaging in coding. You’ll start with a simple "Hello world" program and cover essential concepts like arrays, strings, vectors, enums, structures, traits, generics, functions, and logic. You'll also dive into advanced topics such as lifetime and memory management.
By the end of this course, you'll have a solid foundation in Rust programming and be well-prepared to take on more advanced concepts, making it ideal for Rust beginners looking to become proficient Rust developers.

Rust Programming Language

Learn Scala programming language, covering basics like variables, operators, and strings, and advanced topics like classes, functions, tail recursion, and Scala objects.

This course teaches you programming in Scala, one of the most popular languages today, used by companies like Twitter and LinkedIn. Scala is a statically typed, high-level language that blends functional and object-oriented programming, making it ideal for building scalable applications.

 This course covers everything from basic concepts like Scala variables, type casting in Scala, and print in Scala to advanced topics like recursive functions in Scala, tail recursion, Scala classes, and more. Whether building scalable apps or improving your skills, this course will help you master Scala programming.

Learn Scala

Build a “Product Launch Readiness Board” using React 19. Explore task management, data synchronization, real-time collaboration, and customizable UI themes for efficient product launches.

Build a Product Launch Readiness Board Using React 19

Grow My Skill Set

JavaScript

Web Development

Front-end Development

UI/UX

Reactive Programming

React

In this project, we will build a “Product Launch Readiness Board” using React 19, supported by a mock server layer and simulated real-time events. The goal is to create a fast, resilient, and user-friendly collaboration platform that helps cross-functional teams coordinate tasks required for a successful software release. Key features include task creation and workflow tracking (To Do, Review, Done), optimistic updates with rollback, offline-safe editing with queued synchronization, real-time presence and typing indicators, and a lazy-loaded Activity feed implemented with suspense and error boundaries, along with theme switching and internationalization support for a modern, production-ready user interface.

Master Java 25 with hands-on learning in modern OOP, functional Streams, advanced concurrency, and professional testing with JUnit 6.

Modern Java: From Fundamentals to Advanced Architecture

Java

Programming Language

Java is widely used in enterprise systems and large-scale cloud applications. Recent releases have introduced features that improve developer productivity and performance in distributed systems. This course covers the key language and platform updates in Java 25 to help developers build or modernize their applications.

You’ll start by establishing a Java mindset and exploringbthe JVM architecture and its core building blocks. Next, you’ll move into advanced OOP, covering core principles alongside modern constructs such as Records and Sealed classes. You’ll explore functional programming with the Stream API, handle data using the Collections framework, and build high-performance software with the Executor framework and structured concurrency. Finally, you’ll examine professional tools, including JUnit 6 and Spring Boot.

By the end, you will have a solid grasp of Java 25 and the proficiency to design, build, and deploy secure, scalable, maintainable backend applications in real-world environments.

Lead the GenAI revolution by building a ReAct-based AI travel assistant using AWS tools. Future-proof your skills in orchestrating AI workflows, dynamic tool execution, and controlled AI agent design.

Implementing ReAct with AWS Step Functions and Amazon Bedrock

Cloud

Step Functions

Bedrock

Lambda

AI & ML

Application Integration

In this Cloud Lab, you’ll build an agentic AI app using the ReAct (Reason + Act) pattern with AWS Step Functions, AWS Lambda, and Amazon Bedrock to enable structured reasoning, tool use, and iterative responses.

Master modern C++ (C++17 to C++23) from core fundamentals to advanced design. Build fast, safe applications using OOP, STL, templates, and concurrency, with professional tooling and testing.

Master Modern C++

C++ remains one of the most powerful and widely used programming languages, driving systems software, game engines, embedded devices, and high-performance backend services. This course provides a structured path to learn modern C++ with a strong focus on clarity, correctness, and real-world engineering practices.

You’ll begin by building a solid mental model of the compilation process, object lifetime, and core language features. From there, you’ll explore object-oriented design, RAII, and resource management. You’ll gain hands-on experience with the Standard Library, including containers, algorithms, iterators, and smart pointers, and learn to write reusable code using templates and generic programming.

As you advance, you’ll cover error handling, concurrency with threads and synchronization primitives, and modern development workflows using CMake and unit testing frameworks. By the end, you’ll confidently design, build, and maintain efficient, scalable C++ applications using modern best practices.

Master Python 3.11+ from basics to advanced architecture. Learn OOP, concurrency, and tooling to build scalable, professional-grade applications.

Learn Python 3: Comprehensive Programming Guide

Python

This course is your roadmap to mastering Python 3.11+ concepts, progressing from basic scripts to building more complex applications. You’ll cover material that goes beyond syntax to emphasize practical development concepts, including clarity, efficiency, and software architecture.

You will start with foundations, including variables, flow control, and collections, before diving into functional programming and Python’s object-oriented system. You will learn to structure maintainable code using modules and classes.

 As the course progresses, you will work with core development skills such as error handling, unit testing, and file management. The course concludes with advanced topics, such as concurrency, asynchronous programming, and metaprogramming. By the end, you will be able to write clean, idiomatic code and design efficient Python applications.

Challenge yourself to enforce public access blocking on Amazon S3 buckets using AWS Config and automatic remediation, without step-by-step guidance.

Enforcing S3 Public Access Blocking with AWS Config

Assess my Skills

Config

Systems Manager

Management & Governance

In this lab, you’ll enforce S3 public access blocking using AWS Config and automatic remediation with AWS Systems Manager. This challenge-based exercise is designed for hands-on practice; step-by-step instructions will not be provided.

Gain insights into implementing semantic caching to reduce LLM costs using AWS Lambda, Amazon Bedrock, and S3 Vectors.

Using Semantic Caching with Amazon S3 to Reduce LLM Costs

API Gateway

In this Cloud Lab, you will design and implement a serverless semantic caching system that reduces repeated large language model (LLM) inference by storing and retrieving semantically similar responses using Amazon Bedrock and S3 Vectors.

Build the technical depth and reasoning fluency that AI engineering interviews actually demand: from transformer internals and alignment techniques to production-grade RAG, agents, and safety systems.

The AI Engineer Interview Crash Course

Interview Prep

Generative AI

If you are short on time and need to prepare efficiently, this crash course is a condensed version of the comprehensive Ace The AI Engineer Interviews course, covering the most critical topics in approximately 15 to 20 hours of focused study.

AI engineering interviews test whether you can reason from first principles, connect concepts across the stack, and explain trade-offs under pressure. This course is built around that reality. It takes you from transformer internals and the alignment pipeline through to production-grade RAG, agentic systems, and safety engineering, covering everything from how attention works to how a deployed LLM system stays reliable at scale.

Every topic was selected using a single filter: Does it appear in real interviews at companies working with large language models? If not, it was excluded.

Learn how to use OpenRouter to access, compare, and orchestrate AI models across providers through one API. Explore routing, cost, and strategies to build flexible AI systems without vendor lock-in.

OpenRouter: Unified LLM Access and Multi-Model Orchestration

OpenRouter

OpenRouter is a unified routing layer over the modern LLM ecosystem, giving developers access to models across OpenAI, Anthropic, Google, Meta, Mistral, and open-source providers through a single interface.

In this course, we focus on the features that make OpenRouter stand out: model abstraction, provider routing, automatic fallbacks, cost-aware selection, response formatting, and ecosystem-level flexibility.

You will start by understanding OpenRouter’s architecture and how it differs from calling a single model provider directly. From there, you’ll learn how to query multiple models using the same request structure, switch providers without code rewrites, and dynamically route traffic based on cost or capability.

You’ll explore advanced features like model comparison, structured outputs, JSON mode, tool calling compatibility, and how to design fallback strategies that protect your production systems from outages. You’ll also learn how OpenRouter enables experimentation, allowing you to benchmark and swap models without re-architecting your stack.

By the end of this course, you’ll know how to use OpenRouter as a model orchestration layer and design systems that remain flexible as the AI landscape evolves.

Database

Machine Learning

Data Structures

HTML

System Design

Data Science

This course provides the best Amazon Web Services (AWS) tutorial for beginners to learn about AWS cloud services.

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)

Become an AWS pro with insights from a seasoned Amazon engineer. Get hands-on with essential AWS services like DynamoDB, S3, and EC2. No setup, no cleanup, no hassle.

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

Become an AWS pro with Terraform by learning its essentials, exploring features, and building projects. Developed by AWS Solution Certified Architects. Get hands-on, no setup, no cleanup, no hassle.

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

Become an AWS pro by learning to run serverless applications with AWS Lambda. Developed by AWS Solution Certified Architects. Get hands-on, no setup, no cleanup, no hassle.

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

Become an AWS pro with hands-on exercises developed by AWS Solution Certified Architects. Learn to automate CI/CD pipelines, address waterfall pitfalls, and deploy agile, error-proof software.

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

Become an AWS pro by understanding IAM, learning to write policies, and configuring access. Get hands-on with realistic examples, developed by AWS Solution Certified Architects.

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

Become an AWS pro by learning to design efficient network architecture with Amazon VPC, developed by AWS Solution Certified Architects. Get hands-on with no setup, no cleanup, no hassle.

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

Become an AWS pro by getting hands-on with API Gateway. Developed by AWS Solution Certified Architects, you’ll build secure apps, integrate services, and create a chat app.

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

Lead the GenAI revolution, future-proof your skills by exploring generative models, transformer networks, and state-of-the-art applications in text, image, and video generation.

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

Explore Google BERT, fine-tune NLP tasks, discover variants, and build real-world applications with cutting-edge transformer models.

This comprehensive course dives into Google’s BERT architecture, exploring its revolutionary role in natural language processing (NLP). Starting with BERT’s architecture and pre-training methods, you’ll uncover the mechanics of transformers, including encoder-decoder components and self-attention mechanisms. Gain hands-on experience fine-tuning BERT for NLP tasks like sentiment analysis, question-answering, and named entity recognition.

Discover BERT variants such as ALBERT, RoBERTa, and DistilBERT alongside domain-specific adaptations like ClinicalBERT and BioBERT. Explore applications in text summarization, multilingual tasks, and advanced models like VideoBERT and BART. With practical coding exercises and quizzes, you’ll master embeddings, tokenization, and BERT libraries, equipping you to build cutting-edge NLP solutions.

Whether you’re new to Google BERT or enhancing your expertise, this course is your guide to state-of-the-art NLP innovations.

Getting Started with Google BERT

Learn to design clear, structured, and secure prompts that guide AI systems with confidence. Develop skills in context grounding, tool use, evaluation, and the design of production-ready prompts.

This course teaches you how to design clear and reliable prompts that guide AI systems with confidence. You will learn to write precise objectives, define useful roles, manage ambiguity, and structure prompts to improve accuracy, stability, and output quality in everyday work.

You will explore instruction design techniques that shape how text and multimodal models think and respond. These include few-shot prompting, schema-aligned outputs, style and persona control, advanced reasoning strategies, and careful control of creativity through model parameters. You will also learn to ground answers in real context, work with long documents, and defend against risks like prompt injection.

The course then introduces tool use, safety rules, and production practices that maintain the effectiveness of prompts over time. You will learn evaluation, monitoring, fairness checks, and experiment design. By the end, you will be ready to build prompts that support trustworthy and predictable AI behavior in real applications.

All You Need to Know About Prompt Engineering

interview-prep

The ultimate guide to coding interviews, developed by FAANG engineers. Learn patterns to tackle problems from top companies and get interview-ready in just a few hours.

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 the Coding Interview Patterns in Python

Everything you need for Grokking the System Design Interview, developed by FAANG engineers. Master distributed system fundamentals and practice real-world interview questions.

System Design Interviews decide your level and compensation at top tech companies. To succeed, you must design scalable systems, justify trade-offs, and explain decisions under time pressure. Most candidates struggle because they lack a repeatable method.

Built by FAANG engineers, this is the definitive System Design Interview course. You will master distributed systems building blocks: databases, caches, load balancers, messaging, microservices, sharding, replication, and consistency, and learn the patterns behind web-scale architectures.

Using the RESHADED framework, you will translate open-ended system design problems into precise requirements, explicit constraints, and success metrics, then design modular, reliable solutions. Full Mock Interview practice builds fluency and timing. By the end, you will discuss architectures with Staff-level clarity, tackle unseen questions with confidence, and stand out in System Design Interviews at leading companies.

Grokking Modern System Design Interview

Your proven path to success in Machine Learning Interviews – developed by FAANG engineers. Unlock ML loops at top companies with a System Design approach.

ML interviews at top tech companies have shifted toward open-ended System Design problems. "Design a recommendation engine." "Build a search ranking system." "How would you architect an ad prediction pipeline?" These questions test whether you can think about machine learning at a systems level. However, in my experience, most candidates show up prepared for trivia when they should be prepared for architecture.

This course focuses specifically on building that System Design muscle. You'll work through 6 real-world ML System Design problems (the same questions asked at Meta, Google, Amazon, and Microsoft) and learn a repeatable methodology for breaking each one down: defining the problem, choosing metrics, selecting model architectures, designing data pipelines, and evaluating tradeoffs.

Each system you design builds on practical ML techniques covered earlier in the course: embeddings, transfer learning, online experimentation, model debugging, and performance considerations. By the time you're designing your third or fourth system, you'll have the technical vocabulary and judgment to explain why your design choices work. This is exactly what interviewers are looking for.

The course also includes 5 mock interviews so you can practice articulating your designs under realistic conditions. If you have an ML or System Design interview coming up at any major tech company, this course will help you walk in with a clear framework for tackling whatever they throw at you.

Grokking the Machine Learning Interview

This is your essential EM interview crash course. Learn strategies from FAANG hiring managers to demonstrate your leadership skills, and experience to interviewers.

Engineering leaders are the backbone of an organization, shaping how a company operates. Companies invest heavily in hiring strong managers through interviews that assess both technical expertise and leadership ability.
In this course, you’ll explore the engineering management interview process, the management hierarchy, and the leadership phone screen. You’ll learn about key areas of engineering management—managing people and projects, building organizations, fostering collaboration, and recognizing personal strengths. You’ll also review effective interview questions and strong example answers.
By the end of this course, you’ll understand the engineering leadership interview process, develop core leadership skills, and learn to communicate situational stories from past experiences. You’ll also discover how to build a story bank to quickly recall relevant examples during interviews.

Grokking the Engineering Management and Leadership Interviews

The essential guide to technical program manager interviews. Learn from FAANG hiring managers how to confidently demonstrate your skills and get hired.

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

The ultimate guide to behavioral interviews. Developed by FAANG engineers. Use real-world questions, video recording, and structured strategies to get interview-ready in just a few hours.

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

The only guide you’ll need on concurrency & multithreading for senior engineers. Pressure test your skills with real-world practice problems from top companies.

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

Grokking the Coding Interview is the best course that saves countless hours wasted in grinding LeetCode. Master 28 coding patterns; unlock all LeetCode problems. Developed by and for MAANG engineers.

I created Grokking the Coding Interview because I watched too many talented engineers fail interviews they should have passed. At Microsoft and Meta, I saw firsthand what separated the candidates who succeeded from the ones who didn't. It wasn't how many LeetCode problems they'd solved. It was whether they could look at an unfamiliar problem and know how to approach it the right way.

That's what this course teaches. Rather than throwing hundreds of disconnected problems at you, we organize the entire coding interview around 28 fundamental patterns. Each pattern is a reusable strategy. Once you understand two pointers, for example, you can apply them to dozens of problems you've never seen before. The course walks you through each pattern step by step, starting with the intuition behind it, then building through increasingly complex applications.

As with every course on Educative, you will practice in a hands-on way with 500+ challenges, 17 mock interviews, and detailed explanations for every solution. The course is available in Python, Java, JavaScript, Go, C++, and C#, so you can prep in the language you'll actually use in your interview. Whether you're preparing for your first FAANG loop or brushing up after a few years away from interviewing, this course will give you a repeatable framework for cracking the coding interview.

Grokking the Coding Interview Patterns

A battle-tested guide to object-oriented design interviews—developed by FAANG engineers. Master OOD fundamentals and practice real-world interview questions.

Low-level design interviews test something most engineers don't practice enough: taking a vague, open-ended prompt as "design a parking lot" or "design Stack Overflow" and turning it into a structured, implementable system with clearly defined classes, relationships, and behaviors. Knowing what inheritance is won't get you through. You need to demonstrate that you can use it to model a real system under time pressure.

This course teaches that skill through repetition across 20+ real-world design problems. Each one follows the same structured approach: define requirements, identify key objects and relationships, model the system with UML diagrams (class, use case, sequence, activity), and then implement working code. By the time you've designed your fifth or sixth system, the process becomes second nature, which is exactly the point.

We start with the foundations: OOP concepts, SOLID principles, and the most commonly tested design patterns. Then we move into the problems themselves: parking lots, elevator systems, Amazon's online shopping platform, chess, LinkedIn, and more. Each problem comes with a full walkthrough and a mock interview so you can test yourself under realistic conditions.

Whether you're preparing for your first low-level design round or you've been avoiding this part of the loop, this course gives you a repeatable framework for breaking down any OOD problem systematically.

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