Building Real World Systems With Spring Boot

Building Real World Systems With Spring Boot

Design and Implement Banking and Payment Systems Using Spring Boot Microservices With Event Driven Architecture

Highest Rated, New

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Description

AI Usage Disclosure

“This course contains the use of artificial intelligence.”

Welcome to this course on building a real world online banking system using microservices.

In this course, we focus on the core banking capabilities that almost every bank depends on. These capabilities are designed and implemented the same way they are built in real production systems.

What this course is about

This course does not attempt to build everything.

Instead, it deliberately focuses on a small but realistic functional scope and uses that scope to go deep into real world system design.

You will learn how banking domains are modeled using Domain Driven Design and how responsibilities are split across independent microservices.

The course also explains how real production systems handle security and authentication, data ownership and service boundaries, asynchronous processing and reliability, as well as scalability and failure scenarios.

Every architectural decision in this course is based on real industry experience building and operating large-scale banking and fintech platforms.

What makes this course different

Most online courses focus on building features quickly, skipping hard architectural decisions, and avoiding real world constraints.

This course takes the opposite approach.

You will learn why a particular design is chosen, what trade-offs come with each decision, and what breaks in production when those trade offs are ignored.

The goal is to help you understand how engineers think inside real banks, not just how to write working code.

How this course is structured

Before writing any code, we define a clear Functional MVP.

This includes identifying the exact user journeys we are going to support, the exact services involved, and what we are intentionally not building.

This Functional MVP acts as the foundation for the entire course.

Every API, database design, Kafka event, and security decision is traced back to this foundation to ensure architectural consistency.

Who this course is for

This course is designed for backend engineers who want to move beyond CRUD based tutorials, developers curious about real world banking architecture, engineers preparing for senior, lead, or architect roles, and anyone who wants to understand how production-grade systems are actually designed and operated.

Who this course is for:

• Backend developers and software engineers who want to understand how real-world digital banking systems are designed and built using microservices.
• Java and Spring Boot developers looking to move beyond CRUD applications and learn production-grade system design and architecture.
• Engineers interested in fintech and payments, who want to see how concepts like accounts, transactions, and payments work in real banking systems.
• Developers transitioning into microservices or distributed systems, seeking practical, applied examples instead of abstract theory.
• Senior developers and architects who want to understand domain-driven design and event-driven workflows in a realistic banking context.

Agentic AI Bootcamp: AI Agents with Python, n8n, MCP & RAG

Agentic AI Bootcamp: AI Agents with Python, n8n, MCP & RAG - Full Stack AI Engineering: OpenAI SDK, CrewAI, Pydantic AI, LangChain, React, Node.js, AutoGen, Voice & Local Automation

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Description

Stop watching AI happen. Start building it.

You’ve seen what AI can do. But how do you go beyond simple prompts to build autonomous agents, scalable automations, and real business applications?

This course is the ultimate masterclass for AI Automation and AI Agents. It bridges the gap between Low-Code (n8n, Flowise) and Pro-Code (Python, Pydantic AI, Cursor), giving you the complete skillset to dominate the AI landscape in 2026.

From building local RAG systems that run on your laptop to deploying enterprise-grade Voice Agents and mastering the Model Context Protocol (MCP)—this course covers it all.

Whether you are a developer, an entrepreneur, or an automation enthusiast, you will learn how to orchestrate LLMs (like DeepSeek, GPT, Claude, Gemini) to do real work for you.

What You’ll Get:

Hands-on Projects: Build Deep Research Agents, Voice Avatars, Marketing Bots, and Lead Gen Systems & more.

Downloadable Resources: Access ready-to-use JSON workflows, Python code repositories, and System Prompts to fast-track your implementation.

Dual-Track Learning: Learn both the visual way (n8n, Flowise) and the coding way (Python, Next.js).

What You’ll Learn in This Course:

Foundations: LLMs, Setup & "Vibe Coding"

Start strong with the essential tools of the trade.

Cursor Crash Course: Master the AI code editor that writes software for you ("Vibe Coding").

AI Fundamentals: Deep dive into LLMs, Tokens, Function Calling, and "Reasoning Models" like DeepSeek R1, GPT 5.2 Thinking and OpenAI o3.

Full Stack Setup: Install Python, pip, uv, Node.js, Git, and Docker correctly to prepare your machine for AI development.

OpenAI Agent Ecosystem & Web Apps

Build official agents using the latest OpenAI tools and OpenAI Agent SDK.

OpenAI AgentKit & Agent Builder: Create agents with state variables, guardrails, and internet access.

Next.js & React Integration: Build your own Chat UI (ChatKit) and deploy custom widgets to websites.

Deep Research Agent: Build a complex agent capable of scouring the web and synthesizing reports.

Python AI Agents with Pydantic AI

Step into professional AI engineering with code.

Pydantic AI Framework: Build type-safe, robust agents using Python.

Gradio Interfaces: Create user-friendly web interfaces for your Python scripts.

Code & Deploy: Learn to publish your projects on GitHub and share them with the world.

Local AI & RAG (Privacy-First)

Run AI entirely on your own hardware—no API bills, full privacy.

Local Stack: Master Ollama, Docker, and Flowise for offline AI.

Advanced RAG (Retrieval-Augmented Generation): Set up Postgres Vector Databases, manage embeddings, and optimize chunking strategies.

LangChain & LangGraph: Understand the architecture behind modern AI chains.

Mastering Flowise: Visual AI Agents

Create powerful chatbots without writing code.

API-Powered Agents: Connect LLMs to real-world tools via API integrations.

Custom Chatbots: Build, brand, and embed RAG chatbots into WordPress and custom websites.

Sentiment Analysis: Automate customer support routing based on user emotion.

AI Automation with n8n (Low-Code)

The heart of business automation—connect everything.

n8n Fundamentals & SQL: Master the interface, variables, and connect to Supabase databases.

Advanced Workflows: Build Telegram Bots, Multi-Agent Systems, and orchestrator patterns.

Web Scraping & HTML: Turn any website content into a knowledge base for your agents.

Self-Hosting: Learn to host n8n on your own servers to save costs.

MCP: The Model Context Protocol

Learn the hottest technology in AI integration.

MCP Explained: Connect Claude Desktop, Cursor, and ChatGPT to your local tools and files.

Build Custom MCP Servers: Create your own servers in Python and n8n.

Cross-Platform Tools: Use MCP to give your agents access to Slack, GitHub, and database tools seamlessly.

Voice Agents & AI Avatars

Give your AI a voice and a face.

LiveKit & Python: Build real-time, conversational voice agents.

Telephony Integration: Connect Vapi and ElevenLabs to phone numbers for inbound/outbound calls (e.g., restaurant booking bots).

AI Avatars: Create interactive visual agents that speak to users.

Generative AI & Image Automation

Automate creativity with diffusion models.

ComfyUI Masterclass: Build complex image and video generation workflows.

Flux, Z-Image & SDXL: Run state-of-the-art image models locally.

Agentic Design: Trigger image generation automatically via n8n agents.

Building a Business & Security

Turn your skills into a profitable agency and stay safe.

Agency Blueprint: How to price, package, and sell AI services to clients.

Lead Generation: Strategies for cold outreach and social media content.

AI Security & Law: Understand GDPR, the EU AI Act, Prompt Injection, and Jailbreaking protection.

Become an Expert in the Future of Tech!

By the end of this course, you won't just understand the theory—you will have a portfolio of working agents, a deep understanding of n8n, Python, and MCP, and the business knowledge to monetize your skills.

Sign up now and start building the future!

Who this course is for:

• Aspiring AI Engineers & Developers: If you know some Python (or want to learn it via "Vibe Coding" with Cursor) and want to master the modern AI stack—including Pydantic AI, MCP, Guardrails, and RAG—this course is your blueprint.
• Automation Experts & No-Coders: Users of Zapier or Make who are ready to level up to n8n and build autonomous AI Agents rather than just simple linear workflows.
• Entrepreneurs & Agency Owners: If you want to build and sell AI services (like Voice Agents, Support Bots, or Lead Gen Systems) to clients, this course covers the tech AND the business side (Pricing, Sales, Legal).
• Product Managers & Tech Enthusiasts: Anyone who wants to understand how LLMs, Vector Databases, and Agents truly work under the hood to prototype ideas faster using OpenAI AgentKit or Flowise.
• Privacy-Focused Users: Individuals who want to run Local AI (Ollama, DeepSeek) on their own hardware without relying on cloud APIs.
• Creative Professionals: If you want to automate content creation using ComfyUI, Image Generation, and Video AI workflows.

DevSecOps on AWS: Defend Against LLM Scrapers & Bot Traffic

DevSecOps on AWS: Defend Against LLM Scrapers & Bot Traffic - The Complete Guide to AWS LLM Bot Protection with WAF and CloudFront. Protect your infrastructure against AI bots DoS

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Description

What you'll learn

How CloudFront caching works and how to build intelligent, bot-aware delivery flows

How to implement degraded-content / traffic-splitting strategies using CloudFront, Lambda@Edge, and S3

How to separate cache for bots vs humans using CloudFront Functions

How to eliminate “missing assets” issues using immutable asset deployments

How to deploy and tune CloudFront Origin Shield

How to analyze CloudFront logs using Athena for bot and traffic insights

How to configure AWS WAF to be defensive against bots DoS (IP sets, GEO rules, rate rules, managed rules)

How to use JA4 fingerprinting for advanced rate-limit funnels

How AWS WAF Bot Control really works (COMMON vs TARGETED modes)

How to integrate the WAF client-side SDK to unlock advanced detections

How to read and interpret Bot Control dashboards and labels

How to build a real Bot Identification Report in Athena

How to design, validate, and deploy a complete bot strategy (allow, block, degrade)

Requirements

An active AWS account

A domain name to use with CloudFront

Understanding of HTTP, web apps, or APIs

Good Terraform knowledge

IT IS NOT THE COURSE FOR BEGINNERS

Short description

This course teaches you how to survive — and win — in the new era of AI bots, crawlers, scrapers, and automated traffic.

Today bots consume an enormous portion of API, web, and CDN traffic.

They cost money, distort analytics, break cache logic, and overload your application.

And traditional protections are no longer enough.

This course gives you a complete, practical, battle-tested system to handle AI bots with intelligence, not brute force.

Section 1 — Understanding the New Threat Landscape

We begin from the strategic level:

Why AI bots became a real business threat, what their objectives are, how bot traffic harms your infrastructure, and how to think about long-term defense.

You will also get a high-level architecture overview — the big picture of CloudFront, WAF, degraded content, and routing logic.

Section 2 — Flask Test Application & Terraform Preparations

Before we defend anything, we need something to protect.

You will create a tiny Flask API app, run it locally, understand its behavior, then prepare Terraform, AWS profiles, and ECR to deploy it later in the cloud.

Section 3 — Full Application Deployment Using Terraform

This is the heart of the infrastructure setup.

You will:

Build networking components

Delegate a domain

Configure ACM

Build ALB

Deploy EC2 using AutoScaling

Attach EC2 to ALB

Configure CloudFront

Integrate WAF

Explore the AWS Console and learn to debug application behavior

This creates the full “lab environment” used for all bot routing experiments in the later sections.

Section 4 — Autoscaling & Real AI Bot Cost Surprises

We explore what happens when bots hit your infrastructure at scale.

You will see real examples of traffic spikes, CPU burns, cost explosions — and learn why AI bots require a different approach than traditional crawlers.

We also discuss AWS Fargate and show a real commercial example of bot impact.

Section 5 — Intelligent Traffic Routing with CloudFront

This is where the course becomes truly unique.

You will learn:

How CloudFront actually works at request level

How to build a degraded content strategy — lightweight static content for bots

How to route bots with Lambda@Edge

How to tag bots using CloudFront Functions

How caching issues arise in real deployments and how to fix them

How to handle static assets, versioning, origin shield, and inline assets

How to make CloudFront fully bot-aware and resilient

By the end, your CloudFront distribution becomes a smart, bot-sensitive traffic router.

Section 6 — AWS WAF: Protecting Against AI Crawlers & Automated Bots

We go deep into WAF from both defensive and analytical perspectives:

WAF basics and how it actually inspects traffic

Custom black & white lists in the context of AI bots

Geo-based filtering

Athena quick start using WAF logs

JA4 fingerprinting & statistical detection

URL-scoped granular rate rules

Reputation-based managed rules

Intelligent Bot Mitigation theory

Turning on Bot Control (COMMON + TARGETED)

Integrating Bot Control SDK

Reading Bot Control metrics and dashboards

Understanding bot categories and deducing which real bots sit behind them

This section connects CloudFront & WAF into a unified defensive system.

Section 7 — Strategic Bot Policy & AI/Bot Traffic Analysis Using Athena

This is the analytical and strategic peak of the course.

You will learn how to extract real bot traffic from your logs, build a complete Bot Identification Report, and use it to craft a concrete bot defense strategy.

Generating the Bot Identification Report using Athena + real production data samples

Strategic bot policy implementation — part 1 (Terraform logic, CloudFront routing, WAF integration)

Strategic bot policy implementation — part 2 (finalizing routing, degraded content, block rules)

Final course summary + key takeaways + next steps

We finish with a clear framework that you can apply in any real-world environment — cloud or on-premise.

Who this course is for

Anyone responsible for web applications, API performance, cloud security, or cost optimization:

Software Engineers

DevOps & SRE

Cloud Architects

Security Engineers

CTOs, Tech Leads, Startups

Anyone curious about real-world bot defenses and traffic control

If you want a practical, battle-tested, deep-technical, and fully reproducible defense methodology against AI bots — this course is for you.

Who this course is for:

• Software Engineers
• DevOps & SRE
• Cloud Architects
• Security Engineers
• CTOs, Tech Leads, Startups
• Anyone curious about real-world bot defenses and traffic control

Introduction to AI and Machine Learning with Go (Golang)

Introduction to AI and Machine Learning with Go (Golang) - Learn the fundamentals of Artificial Intelligence and Machine Learning and apply them to your Go programs.

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Description

Are you a Go developer ready to explore the exciting world of AI and machine learning? This course is your comprehensive guide, designed specifically for Gophers who want to add powerful AI skills to their toolkit.

Much of the code in this course is written in Go, but some of it is written in Python, where it makes sense to do so, and this means that before taking this course you should have a basic understanding of both languages.

We'll start with fundamental AI concepts, building a strong foundation with practical, hands-on projects. Then, we'll dive into the world of machine learning, tackling everything from classic regression models to modern neural networks. You'll learn how to leverage Go for high-performance AI applications, and discover how to integrate it with Python and cutting-edge tools like Hugging Face and LLMs for state-of-the-art solutions.

What You'll Learn

Search Algorithms & Intelligent Agents: Master core AI search algorithms like A* and Dijkstra's by solving mazes and building a robot vacuum.

Propositional Logic & Model Checking: knowledge based AI agents often need to make decisions based on available information in the world they operate in. Propositional logic and model checking are two different approaches to solving this problem.

Uncertainty: Learn how AI agents handle randomness by creating a Battleship AI and a card-counting Blackjack player.

Machine Learning Fundamentals: Get a practical understanding of linear regression by building models in both Python and Go to predict housing prices.

Deep Learning & Neural Networks: Build a neural network from scratch for housing price prediction and a Convolutional Neural Network (CNN) for image classification.

Natural Language Processing (NLP): Discover the power of NLP by creating an extractive summarization program in Go. You'll also learn to interface with external models from Hugging Face and harness the power of Large Language Models (LLMs) to create hybrid summarization systems.

Large Language Models (LLMs): Learn how to connect your Go programs to Large Language Models like ChatGPT. We'll use a locally hosted LLM using Ollama, but the code we write will be 100% compatible with OpenAI, which is used to connect to most LLMs.

Course Requirements

This course is for intermediate to advanced Go developers. You should be comfortable with Go syntax and core concepts. A basic understanding of data structures like graphs and trees is also helpful, but not required. You should also have a basic understanding of Python.

All you need is a computer running Windows, macOS, or Linux. While a GPU will speed up certain deep learning tasks, it is not essential; everything will run on a CPU.

Why This Course?

This isn't just another machine learning course; it's tailored for Go programmers. You'll learn how to build production-ready AI and machine learning applications that leverage Go's performance and concurrency. By the end, you'll have a portfolio of projects and the skills to confidently build your own intelligent applications.

Ready to build the future of AI with Go? Enroll now and start your journey!

Who this course is for:

• Developers who want to see how AI & Machine Learning can improve their development skills while working in the Go programming language.

Software Development From A to Z - Learn What Truly Matters

Software Development From A to Z - Learn What Truly Matters - Valuable Software Development Insights: IT Roles, Agile, SCRUM, SDLC, OOP, UML, Python Programming 101, Web Development

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Description

Welcome to "Software Development From A to Z - Learn What Truly Matters."

If you're new to the field or considering a career switch, this course is tailored for you. It's a jargon-light, beginner-friendly guide to software development.

Why This Course?

No prior experience is required

Jump right in! This course is crafted for absolute beginners, so you can start learning without any background in software development.

Comprehensive Coverage

This course takes a panoramic view, from demystifying software development myths and IT roles to hands-on coding in Python and the basics of web development.

Beginner-Focused

Complex topics like Object-Oriented Programming and Software Development Methodologies are broken down into easy-to-understand language.

Continuously Updated

Stay ahead of the curve with regular updates. Upcoming modules include versioning systems, career guidance, and job interview preparation.

What You Will Learn

The real world of software development: separating myths from reality.

Key methodologies in software development: Waterfall, Scrum, Kanban, and more.

Designing software using UML: understanding and communicating software design using an industry standard approach.

Coding in Python: starting with the basics and moving on to more advanced topics like error handling and algorithms.

Web Development Essentials: a primer on creating websites using JavaScript.

and more!

What Qualifies Me to Teach You?

I have more than 25 years of software development expertise. I've worked for companies like Apple, Siemens, and SAP.

As a software architect, I have designed and built several enterprise systems and frameworks, including core components of Siemens Healthcare's syngo image processing system. I'm one of the senior software architects behind the SAP Cloud Platform SDK for iOS, a framework built by Apple and SAP. I currently hold twelve patents related to inventions in the field of mobile computing.

Student Reviews

"Excellent course, a fantastic instructor. A comprehensive course for those who are starting in software development. Highly recommended." - Guillermo A. Robiglio

"Abstract concepts simplified into digestible information." - Brian McPherson

"Good for refreshing programming skills and learning about how to use them professionally." - Dieter Funkhauser

Course Extras

Access to a private course forum for personalized support.

Free companion eBook and downloadable resources such as UML cheat sheets and quick reference guides

Regular updates to keep the content fresh and relevant.

Topics Include:

Software development: myths vs. reality

    - Misconceptions around software development

Software development methodologies

    - What’s a Software Development Methodology?

    - What’s the Difference between Agile and Waterfall?

    - How is Work Organized in Scrum?

    - Just-in-Time and Kanban. What has Toyota to Do with Software Development?

Programming foundations

    - Learn to Code through hands-on Python Examples

    - Basic Syntax

    - Control Flow

    - Functions

    - Loops

    - Containers

    - Error Handling

    - File Input and Output

    - Introduction to Object-Oriented Programming

    - Introduction to Algorithms

The Unified Modeling Language (UML)

    - UML Diagram Types

    - The Class Diagram

    - UML Relationships

    - The Sequence Diagram

    - The Statechart Diagram

Web development

    - How Do Websites Work?

    - What's HTML?

    - Using CSS to Style Webpages

    - JavaScript Basics

    - Implementing a Color Theme Picker in JavaScript

    - JavaScript Functions and Event Handlers

Software Development from A to Z is the perfect course for you if you plan to switch careers or if you just want to find out more about software development.

Satisfaction Guarantee

A 30-day money-back guarantee ensures you can try the course risk-free.

If this course aligns with your learning goals, feel free to enroll. I'm here to guide you at every step along the way.

So why wait? Start your journey into the world of software development today!

See you in the first lesson.

Who this course is for:

• This course is for you if you plan to start a career in software development
• This course will refresh your knowledge about software development concepts
• Take this course if you want to acquire technical skills required for job interviews
• You'll get insights into the software development industry

Java Virtual Threads & Concurrency Masterclass [Hands-On]

Java Virtual Threads & Concurrency Masterclass [Hands-On] - Multithreading, Structured Concurrency, Executor Service, Scalability, Performance Testing Using JMeter with Spring Boot

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Description

Dive deep into the intricacies of concurrency & Learn how to make your Java applications run smoother and faster using simple and effective concurrency techniques. From the basics to hands-on projects, this course equips you with the skills to revolutionize your approach to programming.

Course Highlights:

Understanding Concurrency: Learn about the challenges of traditional threads and discover how Java Virtual Threads provide a simpler and more efficient solution for making your programs scale seamlessly.

Executor Service Mastery: Dive into using Executor Service with Virtual Threads. Overcome challenges, control concurrency, and process tasks more efficiently by breaking them down into parallel subtasks.

Completable Future Exploration: Explore Completable Future for asynchronous task processing with Virtual Threads. Learn practical methods, handle timeouts, and manage errors in a declarative style.

Preview of Structured Concurrency: Get a sneak peek into Java's new preview APIs, giving you insights into the future of concurrent programming. Stay ahead of the curve with a simplified understanding of Java's concurrency development.

Practical Application Development: Apply what you've learned in a hands-on project using Spring Boot Web and Virtual Threads. See firsthand how these concepts integrate seamlessly into real-world application development.

Scalability Testing with JMeter: Test your application's scalability using JMeter. Compare throughput and response time to ensure optimal efficiency under different conditions.

Migration Made Easy: Conclude the course with a practical migration guide to transition your existing applications to Java Virtual Threads effortlessly. Get ready for a future where your programs effortlessly combine concurrency and scalability.

Unlock the full potential of Java Virtual Threads and elevate your programming skills. Enroll now to reshape the way you approach scalability and performance in Java applications!

Who this course is for:

• Any Java Developer who likes to learn more about Virtual Threads

Kubernetes Certified Application Developer (CKAD) with Tests

Udemy - Kubernetes Certified Application Developer (CKAD) with Test, Learn concepts and practice for the Kubernetes Certification with hands-on labs right in your browser - DevOps - CKAD

• BESTSELLER
• Created by Mumshad Mannambeth, Kode Kloud
•  English
• 5.5 hours on-demand video
• 38 articles
• 1 downloadable resource
• Full lifetime access
• Access on mobile and TV
• Certificate of Completion

What you'll learn

• Kubernetes Certification
• Design and Deploy applications on Kubernetes Cluster
• Develop Cloud First Applications
• Secure Kubernetes cluster with Secrets and Network Policies
• Create and Schedule Jobs in Kubernetes
• Create and Configure Persistent Volumes
• Configure Readiness and Liveness Probes in a cluster
• Troubleshoot Applications Deployed using Logs
• Upgrade and Rollback Applications deployed on Kubernetes

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Java Data Structures & Algorithms + LEETCODE Exercises

Java Data Structures & Algorithms + LEETCODE Exercises - DSA for Cracking the Coding Interview. Animated Examples for Faster Learning and Deeper Understanding.

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Welcome to Data Structures & Algorithms in Java

This course makes learning to code fun and makes hard concepts easy to understand.

How did I do this?  By using animations!

Animating the Data Structures & Algorithms makes everything more visually engaging and allows students to learn more material - in less time - with higher retention (a pretty good combination).

I will use these visuals to guide you, step-by-step, through the entire course.

The course also includes dozens-and-dozens of Coding Exercises. So you can immediately put everything into practice as soon as you learn it (a very important step).

All of this will help you to feel more confident and prepared when you walk into a coding interview.

I have made several Free Sample Videos available for the course so you can see the difference the animations make.

Also, I am very active on the Q&A, so I will be with you every_step_of _the_way.

_____________________________

What you will get in this course…

Over 100 hand-crafted animated HD videos to illustrate the Data Structures & Algorithms.

Here are the topics we will cover:

Technical

Big O notation

Data Structures

Arrays

Array Lists

Linked Lists

Doubly Linked Lists

Stacks & Queues

Binary Trees

Hash Tables

Heaps

Graphs

Algorithms

Sorting

Bubble Sort

Selection Sort

Insertion Sort

Merge Sort

Quick Sort

Searching

Breadth First Search

Depth First Search

Don't just take my word for it though, check out what existing students have to say about my courses:

5-Star Review:

"In order to describe this course accurately, we need the definition of the word Beautiful. beau·ti·ful: adjective 1.- pleasing the senses or mind aesthetically. 2.- of a very high standard; excellent."  - Josue Hernandez Amezcua

5-Star Review:

"The best course on DSA on Udemy" - Enlai Li

5-Star Review:

"One of the best courses on DSA. The animations do make a huge impact. All the points are explained in detail. The only problem is that I can't give it more than a 5-star rating." - Nikita Sarkar

5-Star Review:

"Amazing Course. My words cannot describe how much animations helped me to understand the concepts. 100% Recommended." - Simarjeet Singh

5-Star Review:

Being a visual learner this is BY FAR the BEST course ever. The way the instructor presents this topic makes it so easy to understand." - Eduardo SN

5-Star Review:

"The animations were really helpful for an easy understanding, but the best thing about this course for me is that it will not waste your time! It is perfectly optimized, covers the important topics that I wanted, and at the same time perfectly clear. Thank you so much." - Fatemeh Moghaddam

5-Star Review:

"This course is very well done! ... the animations in each video take the explanation and understanding of the material to a new level." - Luis Felipe Posada

5-Star Review:

"This course has seriously been amazing. The animations have worked wonders for my understanding and I have made significant progress from the beginning of the course until now." - Dakota Fabro

5-Star Review:

"I can follow as a beginner, amazing." - Sabrina Fung

5-Star Review:

"This is the best course I have ever seen" - Luong Viet Tri

REMEMBER… I'm so confident that you'll love this course that we're offering a FULL money-back guarantee for 30 days! So it's a complete no-brainer, sign up today with ZERO risk and EVERYTHING to gain.

So what are you waiting for? Click the "Buy now" button and join the best Java Data Structures & Algorithms course on Udemy.

I look forward to seeing you in the course.

Now let's get started! :-)

Python Pro: Essential Tips for Real-World Coding & Careers

Python Pro: Essential Tips for Real-World Coding & Careers - From a beginner to production Python code

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This course summarizes all the information I wish had been available when I started my career as a professional Python developer. It is a mix of practical and actionable tips that will: 

- Make you a more legitimate candidate at software interviews 

- Save you time on the job 

- Help you write better Python code in general 

Most of the bootcamps and courses on Python out there don't cover these things. The truth is that most Python coding tutorials are taught by people who have not written a single line of production Python code.

This course is built with the 80/20 principle in mind. It covers the most important 20% of content that gets you 80% of the results. There is probably a book or two for each chapter in this course, but reading all of them would take you weeks. This course brings you the most important tips and takeaways fast.

What will I learn?

What production code is

Writing production-level clean Python code

Examples of clean code in functions, comments, and OOP

Static analysis tools for typing

Static analysis tools for linting and formatting

Using debuggers in general

Using the VSCode debugger effectively

Using the pdb debugger effectively 

Using VSCode and the shell effectively 

General tips on how to appear more experienced during an interview

Money-back guarantee and instructor chat help are included with this course.

Complete Guide to Elasticsearch

Complete Guide to Elasticsearch, Learn Elasticsearch from scratch and lay the foundation for learning the ELK stack (Elasticsearch, Logstash & Kibana).

• BESTSELLER
• Created by Bo Andersen
•  English
•  English [Auto-generated], Portuguese [Auto-generated], 1 more
• 13 hours on-demand video
• 7 articles
• 11 downloadable resources
• Full lifetime access
• Access on mobile and TV
• Assignments
• Certificate of Completion

What you'll learn

• How to build a powerful search engine with Elasticsearch
• The theory of Elasticsearch and how it works under-the-hood
• Write complex search queries
• Be proficient with the concepts and terminology of Elasticsearch

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Deploy FastAPI, React, PostgreSQL Apps on Amazon Cloud (AWS)

Deploy a Full Stack app on AWS that is scalable, uses a custom domain, SSL, HTTPS, Continuous Integration and Delivery

REDEEM

The Complete Python for Quantum Computing Course

Learn everything you need to know about Python for Quantum Computing in one complete course!

REDEEM

Throughout this course, you will learn everything you need to know about Python for Quantum Computing.

Quantum computers are expected to change the technological systems we know and our lives in the upcoming years. Although classical computers and general programming have numerous abilities, some computational problems are extremely hard for them to solve. On the other hand, quantum computers can solve these problems in seconds! If you want to learn about this exciting future technology and prepare yourself for the quantum revolution, this is the perfect course for you!

The course, as one of the parts of The Complete Introduction to Quantum Computing Course, has been designed to cover the important concepts to learn about one of the most popular programming language, Python to get ready to learn about Quantum Computing, Quantum Coding, and Qiskit programming language. As a "complete" course, we will learn Python from zero to intermediate level with real life coding examples! We are going to cover important Python concepts like computer science, programming languages, algorithms, conditional statements (if, elif, else), loops (while, for), functions, lists, variables, data types, Python libraries, boolean logic, arithmetic operators and relevant mathematics, comparison statements, and many more. Also, you will have the chance to develop your practical abilities by solving numerous quizzes and a graded assignment, and earn a worldwide recognized certificate at the end of the course!

Throughout the course we will cover:

What is Computer Science?

What are the Programming Languages?

Algorithms

Why are we Learning Python?

Python Fundamentals

Variables

Namin Variables

Data Types

Arithmetic Operators and Relevant Maths

Comparison Statements

Boolean Logic

Conditional Statements (if, elif, else)

Loops (while, for)

Functions

Lists

Useful List Methods

Python Libraries

Math Library

*You can learn everything you need to know about Quantum Computing from beginner to advanced level via accessing to "The Complete Introduction to Quantum Computing Course" (Currently in development stage)

About Instructor: My name is Arda Hayri Abay. I'm a Quantum Computing Software Developer. I'm currently working as a Section Leader (Instructor) at Stanford University Code in Place. I have completed the nine month-long Quantum Computing and Mathematics program organised by IBM, and taught by the researchers of MIT and the University of Oxford with full-scholarship and 99.1% GPA in high school. During my career, I have worked at Citi Bank as an Early Insight Participant. With three years of teaching experience, I have decided to publish courses on Udemy to share my knowledge with people who have interest and are eager to learn.

Who this course is for:

• Students who want to learn about Python and Quantum Computing
• Anyone curious about Computer Science or Quantum Computing

API First Engineering with Spring Boot

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Learn Industry Best Practices to Develop First Class APIs for your Customers

Description
Take a comprehensive dive into the world of API First development using Spring 6 and Spring Boot 3. This extensive course covers the latest practices and tools for designing, building, and testing robust APIs following industry best practices.

You'll begin by understanding the foundational concepts of API-first development and its benefits for organizations. The course then guides you through the practical implementation of an API using OpenAPI specifications, domain-driven design principles, and code generation from OpenAPI specifications.

Throughout the course, you'll explore a wide range of topics, including:

Defining APIs using the OpenAPI specification and tools like Redocly

Using Redocly to establish CI/CD builds for your OpenAPI Specification and Redoc API Documentation

Applying domain-driven design principles for effective API design

Generating code from OpenAPI specifications using Maven with OpenAPI Code Generator

Developing Spring Boot and SpringMVC to implementing API endpoints

Testing APIs with Spring MockMVC and incorporate request validation to your OpenAPI Specification

Implementing create, update, patch, and delete operations for APIs

Object-relational mapping with JPA, Hibernate

Using MapStruct for efficient object mapping and type transformation

Enforcing data validation and constraints with JPA and Java Bean Validation

Handling standardized problems and errors with libraries like Zalando Problem

Generation of Spring Boot API clients and using clients with integration testing

Throughout the course, you'll work on a real-world e-commerce API project, applying the concepts and best practices learned in each section. By the end of this course, you'll have a deep understanding of API-first development using Spring 6 and Spring Boot 3 with OpenAPI, enabling you to design, build, and test robust APIs that adhere to industry standards.

This course is a master course in developing high quality world class API products for your customers.

Enroll now and elevate your skills in API development with Spring!

Who this course is for:
Spring Developers Responsible for Building Customer Facing APis
Developers Seeking to Build High Quality APIs
QA Engineers Wishing to Improve API Code Quality
API Product Owners Responsible for the Delivery of Customer Facing APIs

Executive Diploma in Technology Management

Executive Diploma in Technology Management by MTF Institute

Preview this Course

What you'll learn

• Technology Management
• Technology Planning
• in-House vs Outsource vs Out-staff work
• Vendors and Contractors Management
• Platform vs Product vs Tech-oriented teams
• Lean 6 Sigma at Technology Management

Welcome to course: Executive Diploma in Technology Management by MTF Institute

Course provided by MTF Institute of Management, Technology and Finance

MTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on higher & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance.

MTF R&D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things.

MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry, and resident of the incubator "The Fintech House of Portugal".

MTF is present in 205 countries and has been chosen by more than 230,000 students.

Course Author:

Igor Dmitriev

Digital Business & Transformation Expert

Education:

• MBA, The Boston University, USA

• Master of Science at Engineering (Technical) Management, The State University of New York at Buffalo, USA

• Master of Science at Informatics and Economics, The Saint- Petersburg State University of Finance and Economics

• Six Sigma Black Belt

Experience:

• Expert at Banking (>15 years), FinTech & Digital (>12 years). Experienced Manager (>10 years) with successful track of records at personal and corporate entrepreneurship.

• More than 10 years at worldwide banking groups such us Societe Generale, Raiffeisenbank.

• Experience at roles: CEO, Head of Business, Chief Digital & Marketing Officer, Head of Digital Transformation and Channels, Head of Products and Marketing.

Role and Key Functionality of CIO (Chief Information Officer) and CTO (Chief Technology Officer):

Chief Information Officer (CIO):

The CIO is a key executive responsible for managing and implementing information technology (IT) strategies within an organization. Their role revolves around aligning IT systems with the overall business objectives. Key functionalities of a CIO include:

IT Strategy Development: The CIO formulates and executes IT strategies that align with the company's goals, ensuring that technology supports and enhances business operations

Information Security: CIOs are responsible for safeguarding the organization's digital assets and ensuring data privacy and compliance with relevant regulations

Infrastructure Management: They oversee the design, implementation, and maintenance of IT infrastructure, including hardware, software, and networks

Vendor Management: CIOs often engage with technology vendors to procure solutions, negotiate contracts, and ensure the delivery of high-quality services

Chief Technology Officer (CTO):

The CTO, on the other hand, focuses on the technological aspects of the business, ensuring that the company stays at the forefront of industry trends and innovations. Key functionalities of a CTO include:

Technology Innovation: The CTO is responsible for driving technological innovation within the organization, exploring emerging technologies, and recommending their adoption where relevant

Product Development: CTOs often play a crucial role in the development of new products and services, leveraging technology to create innovative solutions that meet customer needs

Research and Development: CTOs lead research efforts to stay abreast of industry advancements, fostering a culture of continuous learning and technological evolution within the company

Technical Leadership: CTOs provide technical leadership to development teams, ensuring that projects are aligned with the company's strategic goals and technological vision

Why Technology Management is the Foundation of their Work:

Technology management is the foundation of the work of CIOs and CTOs because it enables organizations to harness the power of technology to achieve their business objectives. Effective technology management involves:

Strategic Alignment: Ensuring that technology initiatives are aligned with the overall business strategy, allowing organizations to leverage technology as a strategic enabler

Risk Management: Identifying and mitigating potential risks associated with technology, including cybersecurity threats, data breaches, and system failures

Innovation: Fostering a culture of innovation by staying informed about emerging technologies and strategically incorporating them to gain a competitive edge

Resource Optimization: Efficiently managing IT resources, including budgets, infrastructure, and personnel, to maximize the return on investment in technology.

Importance of Learning Technology Management for Companies and Experts:

Strategic Decision-Making: Understanding technology management equips leaders with the knowledge to make informed decisions about technology investments, aligning them with organizational goals

Competitive Advantage: Companies that effectively manage technology gain a competitive advantage by leveraging innovations to improve efficiency, customer experience, and product offerings

Adaptability: Learning technology management helps organizations adapt to the rapidly changing technological landscape, ensuring they stay relevant and resilient in the face of disruption

Risk Mitigation: Technology management knowledge enables proactive identification and mitigation of risks, safeguarding organizations against potential threats to their IT infrastructure and data

How Learning Technology Management Supports Career Growth:

Leadership Opportunities: Proficiency in technology management positions individuals for leadership roles, such as CIO or CTO, where they can shape the technological direction of an organization.

Problem-Solving Skills: Technology management education enhances problem-solving skills, enabling professionals to address complex technological challenges within their roles.

Innovation and Creativity: Understanding technology management fosters innovation and creativity, allowing individuals to contribute to the development of novel solutions and approaches within their fields.

Cross-Functional Collaboration: Technology management knowledge facilitates effective collaboration between technical and non-technical teams, breaking down silos and promoting a holistic understanding of business goals.

Learning about technology management is essential for both companies and individuals, providing a solid foundation for strategic decision-making, innovation, and long-term success in the ever-evolving landscape of technology and business.

Who this course is for:

• No special requirements. Course for any who want to build a career as CIO/CTO or improve their knowledge.
• Role and Key Functionality of CIO (Chief Information Officer) and CTO (Chief Technology Officer): Chief Information Officer (CIO): The CIO is a key executive responsible for managing and implementing information technology (IT) strategies within an organization. Their role revolves around aligning IT systems with the overall business objectives. Key functionalities of a CIO include: IT Strategy Development: The CIO formulates and executes IT strategies that align with the company's goals, ensuring that technology supports and enhances business operations Information Security: CIOs are responsible for safeguarding the organization's digital assets and ensuring data privacy and compliance with relevant regulations Infrastructure Management: They oversee the design, implementation, and maintenance of IT infrastructure, including hardware, software, and networks Vendor Management: CIOs often engage with technology vendors to procure solutions, negotiate contracts, and ensure the delivery of high-quality services
• Chief Technology Officer (CTO): The CTO, on the other hand, focuses on the technological aspects of the business, ensuring that the company stays at the forefront of industry trends and innovations. Key functionalities of a CTO include: Technology Innovation: The CTO is responsible for driving technological innovation within the organization, exploring emerging technologies, and recommending their adoption where relevant Product Development: CTOs often play a crucial role in the development of new products and services, leveraging technology to create innovative solutions that meet customer needs Research and Development: CTOs lead research efforts to stay abreast of industry advancements, fostering a culture of continuous learning and technological evolution within the company Technical Leadership: CTOs provide technical leadership to development teams, ensuring that projects are aligned with the company's strategic goals and technological vision
• Why Technology Management is the Foundation of their Work: Technology management is the foundation of the work of CIOs and CTOs because it enables organizations to harness the power of technology to achieve their business objectives. Effective technology management involves: Strategic Alignment: Ensuring that technology initiatives are aligned with the overall business strategy, allowing organizations to leverage technology as a strategic enabler Risk Management: Identifying and mitigating potential risks associated with technology, including cybersecurity threats, data breaches, and system failures
• Innovation: Fostering a culture of innovation by staying informed about emerging technologies and strategically incorporating them to gain a competitive edge Resource Optimization: Efficiently managing IT resources, including budgets, infrastructure, and personnel, to maximize the return on investment in technology.
• Importance of Learning Technology Management for Companies and Experts: Strategic Decision-Making: Understanding technology management equips leaders with the knowledge to make informed decisions about technology investments, aligning them with organizational goals Competitive Advantage: Companies that effectively manage technology gain a competitive advantage by leveraging innovations to improve efficiency, customer experience, and product offerings Adaptability: Learning technology management helps organizations adapt to the rapidly changing technological landscape, ensuring they stay relevant and resilient in the face of disruption Risk Mitigation: Technology management knowledge enables proactive identification and mitigation of risks, safeguarding organizations against potential threats to their IT infrastructure and data
• How Learning Technology Management Supports Career Growth: Leadership Opportunities: Proficiency in technology management positions individuals for leadership roles, such as CIO or CTO, where they can shape the technological direction of an organization. Problem-Solving Skills: Technology management education enhances problem-solving skills, enabling professionals to address complex technological challenges within their roles. Innovation and Creativity: Understanding technology management fosters innovation and creativity, allowing individuals to contribute to the development of novel solutions and approaches within their fields. Cross-Functional Collaboration: Technology management knowledge facilitates effective collaboration between technical and non-technical teams, breaking down silos and promoting a holistic understanding of business goals. Learning about technology management is essential for both companies and individuals, providing a solid foundation for strategic decision-making, innovation, and long-term success in the ever-evolving landscape of technology and business.

Intro To TKinter for Python GUI Apps

Build Graphical User Interface Apps with Python and TKinter The Fast and Easy Way!

Preview this Course

Description

• In this course I'll teach you how  to make graphical user interfaces for Python using TKinter.  You'll be surprised just how quickly you can create some pretty cool looking apps!
• 
  
• I'll show you the ins and outs of tKinter, and then I'll show you how to package your app as an .exe file that you can share with others!
• 
  
• We'll start out by learning all about the main TKinter widgets.  Everything in tKinter is a widget...from labels, to buttons, input boxes, and more. 
• 
  
• After we've learned all the major Widgets, we'll build a fun Math Flashcard app.  Our app will have addition, subtraction, multiplication, and division flashcards.
• 
  
• If you've ever wanted to create GUI apps with Python, this is the course for you!
• 
  
• Who this course is for:
• This course is aimed towards absolute beginners who want to learn to build Apps With TKinter and Python
• Anyone wanting to learn to build apps

Understanding Node.js: Core Concepts

Understanding Node.js without any other NPM packages. Let's take your back-end engineering skills to the next level!

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Description

Welcome to the most comprehensive Node.js course on the internet!

In this course, we're going to do a deep dive into Node.js itself without cluttering our minds with other tools and NPM packages and truly master this powerful technology.

This course is heavily focused on computer science topics and fundamentals that are crucial to understand for becoming a great back-end engineer. You can only properly understand Node.js and unlock its full power if you understand these other computer science topics. So that's why we will also learn these other vital topics so that you can truly master Node.js and take your back-end engineering skills to a whole new level.

We will also use all these vital concepts that we'll learn in practice by building various exciting projects just using Node.js.

This is an intense course for people who want to get to the top of the field and get to a level of driving innovation and making an impact within the industry instead of just scratching the surface and following a few software trends and tools.

Each section of the course is like its own mini-course, and by completing each section, you'll learn some essential Node.js, computer science and back-end engineering concepts that will help you not just if you want to use Node.js but throughout your whole career as a software engineer. These things will stay with you for years and decades to come.

Let's do a quick walkthrough about what you will accomplish after completing some of the sections:

Understanding Buffers: Here, we will deeply understand buffers and how to work directly with binary data, which is essential for all the other sections.

Understanding File System: As a back-end developer, you'll work with files a lot, be it saving some data to disk, handling file uploads and many other examples, so it's essential to have a good understanding of them, which you'll gain after completing this section. We'll also learn how Node.js deals with files and master the "fs" module.

Understanding Streams: In this section, we're going to master Streams, which will allow us to develop highly-performant apps capable of handling terabytes of data with ease while having great memory usage. We'll build many mini-projects throughout the section, including an encryption-decryption app from scratch that could encrypt terabytes of data by directly modifying the binary data. This section lays the foundation for future sections where we'll utilize Streams heavily to create powerful and efficient network applications.

Understanding Networking: Node.js was primarily designed to create network applications, so it's of utmost importance that we gain a decent understanding of networking, which we will do after completing this section. Here's a list of items we'll learn in this section:

What exactly a network is

How the internet works

Mac Addresses

IPV4 & IPv6 Addresses

TCP

UDP

DNS

Fundamentals of deployment

We'll build 2 low-level apps using only Node.js, a chat and a file uploader app directly on top of TCP! And then, we'll deploy them to a Linux server in the most basic way without using unnecessary tools.

We'll see exactly what happens in our network card, every single 0s and 1s exchanged for a particular thing using Wireshark, and gain a much better understanding of networking and how most of the well-known protocols like HTTP, FTP, Email protocols, SSH, DNS and many others work. This section will broaden your horizons, and you'll realize that there are far more things that you can do with Node.js than just creating web servers.

Understanding HTTP: In this section, we'll utilize and combine all that we've learned from previous sections and finally deeply understand HTTP once and for all! We won't be learning how to use Express; instead, we will build something similar ourselves!

We'll start by understanding the most important HTTP concepts, such as connection types, client-server model, messages, requests, responses, HTTP Methods, status codes, mime types, necessary headers and so much more. And then emulate an HTTP protocol directly on top of TCP using the net module and see precisely every single 0s and 1s that get exchanged for an HTTP request and response interaction!

Once we understand the fundamentals of HTTP and the "http" module, we'll take things to the next level and start building our framework. And then, using our framework, we'll make a fully functional web application.

This section will take your web development skills to the next level. You'll have a much better understanding of how all these popular NPM packages, like Express, body-parser, Multer, cors, etc., that are built on top of the "http" module work. Well, you'll learn how to make them from scratch, just using them will not be that much of a problem!

Please note that there are many more exciting sections to come! The course is still in production, and the expected date for the course completion is within the fall of 2024.

If at any point in the course, you get stuck or feel like you need more clarification on something, I will be there in the QA to help you every step of the way from start to finish! Sign up today, and let's master Node.js and take your back-end engineering skills to a whole new level!

Who this course is for:

• Developers who are tired of jumping from one framework to another, tired of learning many different useless patterns, who want to step up their skills and get to an innovative point
• Self-taught software developers who haven't focused on computer science concepts
• NodeJS developers who still feel like they don't understand NodeJS even after using it for years
• Back-end developers aspiring to take things to the next level and lead change in the industry instead of following trends
• Developers who want to understand things at a much deeper level
• Computer science students eager to apply their academic knowledge in real-world scenarios
• Beginner and intermediate developers who want to learn how to make more informed and effective decisions in their learning journey for years ahead

Spring Framework 6: Beginner to Guru

Spring Framework 6: Beginner to Guru - Learn All Things Spring! Spring Framework 6, Spring Boot 3, Spring MVC, Spring Data JPA, Spring Security, Spring WebFlux

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This course is All Things Spring!

Do you wish to master Spring Framework 6 and Spring Boot 3? Then this is the course for you.

This course is for developers with no previous Spring Framework or Spring Boot experience.

This course has been developed by a back end developer, for back end developers!

Inside this course, you will learn about:

Build a Spring Boot Web App

Use Spring for Dependency Injection

Create RESTful Web Services with Spring MVC

Create RESTful Web Services with Spring Webflux

Create RESTful Web Services with Spring Webflux.fn

Learn Best Practices using Project Lombok with Spring

Create MapStruct Mappers as Spring Components

Spring MockMVC with Mockito and JUnit 5

Spring Data JPA

Spring Data MongoDB

Spring Data R2DBC (Reactive)

Spring RestTemplate

Spring WebClient

Spring WebTestClient

Spring Security HTTP Basic Authentication

Spring Security OAuth2 Authentication w/ JWT

Spring Authorization Server

Spring WebMVC OAuth2 Resource Server

Spring WebFlux OAuth2 Resource Server

Spring Cloud Gateway

Spring Boot Maven Plugin

Spring Boot Gradle Plugin

Use Java Bean Validation with Spring

Spring Boot Auto-Configuration with MySQL

Use Spring Boot and Flyway for Database Migrations

Hibernate Database Relationship Mapping with Spring Data JPA

Course Extra - IntelliJ IDEA Ultimate

Students enrolling in the course can receive a free 4 month trial license to IntelliJ IDEA Ultimate! Get hands on experience using the Java IDE preferred by Spring Framework professionals! 

Course Extra - Access to a Private Slack Community

You're not just enrolling in a course --> You are joining a community learning Spring.

With your enrollment to the course, you can access an exclusive Slack community. Get help from the instructor and other Spring Framework Gurus from around the world - in real time! This community is only available to students enrolled in this course. 

This is a very active Slack community with over 18,700 Spring Framework Gurus!

This is the largest online community of people learning Spring in the world.

With your enrollment, you can join this community of awesome gurus!

Closed Captioning / Subtitles

Closed captioning in English is available for all course videos!

PDF Downloads

All keynote presentations are available for you to download as PDFs.

Lifetime Access

When you purchase this course, you will receive lifetime access! You can login anytime from anywhere to access the course content.

No Risk - Money Back Guarantee 

You can buy this course with no risk. If you are unhappy with the course, for any reason, you can get a complete refund. The course has a 30 day Money Back Guarantee.

Who this course is for:

• This course is ideal for Java developers who wish to use the Spring Framework for enterprise application development

Data Visualization with Kibana

Data Visualization with Kibana - Visualize and analyze data with Kibana, part of the ELK stack (Elasticsearch, Logstash & Kibana) and Elastic Stack.

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What you'll learn

• Fundamentals of Kibana
• Securing Kibana (users, roles, and spaces)
• Creating basic & advanced visualizations
• Kibana Query Language (KQL)
• Creating and interacting with dashboards
• Reporting and Alerting

Are you a software developer, and do you want to learn Kibana? Then look no further — you have come to the right place! This course is the best way for you to quickly learn Kibana and put your knowledge to use within just a few hours. Forget about watching countless of YouTube tutorials, webinars, and blog posts; this course is the single resource you need to learn Kibana. In fact, this is by far the most comprehensive course on Kibana you will find!

So what is Kibana, and why should you take the time to learn it? Kibana is part of the ELK stack (Elasticsearch, Logstash, Kibana) and the Elastic Stack. It's often referred to as the window into Elasticsearch. With Kibana, you can visualize the data stored within an Elasticsearch cluster. This includes everything from running ad hoc queries, creating visualizations such as line charts and pie charts, and displaying data on dashboards. Kibana enables you to easily interact with your data, providing a much better experience than writing Elasticsearch queries. Slicing and dicing data is easy, and navigating between different datasets can be done without losing context. As such, Kibana is an excellent tool for data analysis, exploration, and investigation. Dashboards are a key feature, enabling us to provide ourselves and teams with overviews of relevant data. For instance, we could create a dashboard for a sales department, and another for software engineers.

Kibana is also commonly used for monitoring data, for instance in the context of observability. By using Kibana and the Elastic Stack for observability, you can gain insight into the performance of applications (APM), monitor service uptime, keep an eye on hardware and service utilization, etc. Apart from that, Kibana is also frequently used for security analysis and managing machine learning jobs.

Needless to say, Kibana is an incredibly powerful tool for visualizing, analyzing, and monitoring Elasticsearch data.

Who this course is for:

• Developers wanting to work with and visualize Elasticsearch data