Showing posts with label Development. Show all posts
Showing posts with label Development. Show all posts

The Web Developer Bootcamp 2026

The Web Developer Bootcamp 2021


The Web Developer Bootcamp 2026, The only course you need to learn web development - HTML, CSS, JS, Node, and More!
  • Created by Colt Steele
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What Will I Learn?
  • Make REAL web applications using cutting-edge technologies
  • Continue to learn and grow as a developer, long after the course ends
  • Create a blog application from scratch using Express, MongoDB, and Semantic UI
  • Create a complicated yelp-like application from scratch
  • Write your own browser-based game
  • Create static HTML and CSS portfolio sites and landing pages
  • Think like a developer. Become an expert at Googling code questions!
  • Create complex HTML forms with validations
  • Write web apps with full authentication
  • Use Bootstrap to create good-looking responsive layouts
  • Implement responsive navbars on websites
  • Use JavaScript variables, conditionals, loops, functions, arrays, and objects
  • Write Javascript functions, and understand scope and higher order functions
  • Create full-stack web applications from scratch
  • Manipulate the DOM with vanilla JS
  • Manipulate the DOM using jQuery
  • Translate between jQuery and vanillas JS
  • Write JavaScript based browser games
  • Use NodeJS to write server-side JavaScript
  • Write complex web apps with multiple models and data associations
  • Write a REAL application using everything in the course
  • Use Express and MongoDB to create full-stack JS applications
  • Use common JS data structures like Arrays and Objects
  • Master the command line interface
  • Use NPM to install all sorts of useful packages
  • Understand the ins and outs of HTTP requests
  • Create your own Node modules
  • Make a beautiful, responsive photographer's portfolio page
  • Create a beautiful, responsive landing page for a startup
  • Implement user authentication
  • Create a beautiful animated todo list application
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Become a Full-Stack Developer - Learn Everything from Design to Front & Back-End Programming.

More Courses by Colt Steele

Become an In-demand SQL Master by creating complex databases and building reports through real-world projects

Learn React 16, Redux, D3, ES2015, Testing, CSS Flexbox, Animations, SVG, AJAX, and more!

A Unique Interactive Python Experience With Nearly 200 Exercises and Quizzes

Complete Python Bootcamp for AI, ML & Data Science

Complete Python Bootcamp for AI, ML & Data Science

Complete Python Bootcamp for AI, ML & Data Science - 
Master Python from scratch and build real AI & ML projects — taught in simple English for engineering students

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This 4-hour, project-based Udemy course guides developers from beginner to advanced levels, covering Angular CLI, TypeScript, signals, and core components. It focuses on building a real-world application, making it ideal for beginners and JavaScript developers looking to master modern front-end development.

Claude Code - The Practical Guide

claude-code-the-practical-guide

Claude Code - The Practical Guide - 
Boost your agentic engineering game by mastering Claude Code's basic and advanced features

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Description
Claude Code is taking the programming world by storm - but most developers are barely scratching the surface.

If you’ve ever felt like you’re “using” Claude Code without really mastering it, this course is for you.

Claude Code – The Practical Guide is a hands-on, no-nonsense course designed to help you unlock Claude Code’s full potential. You’ll learn how to work with Claude Code efficiently, understand how it thinks, and confidently use the features that separate casual users from power users.

Starting from the fundamentals and quickly moving into advanced territory, you’ll explore essential concepts like context engineering and core commands before diving deep into powerful features such as subagents, agent skills, MCPs, hooks, plugins, and more. Every feature is explained clearly - not just what it is, but why it matters and how to use it effectively in real projects.

You don’t need any special setup or prior experience beyond a Claude Code installation and subscription. By the end of the course, you’ll go from Claude Code novice to confident, advanced user - able to dramatically boost your productivity and build better software faster.

In this course, you’ll:

Learn the fundamentals of working with Claude Code the right way

Understand core commands and context engineering essentials

Master advanced, high-impact features like subagents, agent skills, MCPs, hooks, plugins, and more

Make use of "Plan Mode", manage permissions and optionally run Claude Code in a (Ralph) loop

Learn the WHAT, WHY, and HOW behind each concept - no black boxes

Use Claude Code in the CLI and in the web

Build a complete, real-world example project using Claude Code to see everything in action

If you want to stop guessing, stop underusing Claude Code, and start treating it like the powerful development tool it really is - this course will get you there.

Who this course is for:
  • Beginner and experienced developers who want to efficiently use Claude Code

Ultimate React JS Course: Build 15 Web Projects with React

ultimate-react-js-course-build-15-web-projects-with-react

Ultimate React JS Course: Build 15 Web Projects with React 
Master React 19 by building 15 real-world apps with modern tools like Tailwind CSS 4 & CSS. 100% practical course

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Description
Are you tired of long, boring theoretical tutorials that never show you how to build real-world applications?

Welcome to the Ultimate React JS Course: Build 15 Real Projects with React 19 & Tailwind, a fully hands-on, practical course designed to teach you React the right way—by building real, working web applications from scratch.

This isn’t just another React course filled with slides and abstract concepts. This is a project-based learning experience, where you’ll code along with us step by step and gain real-world skills that employers actually look for.

What This Course Is About

In this course, you’ll build 15 modern, real-world projects using the latest version of React (React 19) and the newly released Tailwind CSS 4.0, along with pure CSS in many places to give you a complete styling foundation.

We’ll start from the very basics, like creating headers and sliders, and move all the way to advanced projects like building authentication forms, a shopping cart, a weather app with live API integration, a fully functional AI chatbot, a blog/news app, a calendar app, and much more.

Every project has a clear purpose and a real-life use case, giving you not only technical skills but also the confidence to build your own applications or work on professional-level React projects.

What You Will Build

Here’s a quick look at some of the exciting projects you’ll create in this course:

Clean and responsive website headers and layouts

Interactive image and content sliders

A live weather application using real APIs

Authentication forms with full input validation

A shopping cart with add/remove functionality and state management

A personal calendar app with dynamic date handling

An AI-powered chatbot using modern tools and APIs

A blog/news application with dynamic rendering

And many more practical mini and full-scale apps

Each project is designed to teach you new techniques, reinforce best practices, and build your confidence through repetition and challenge.

What You’ll Learn

The core fundamentals of React: components, props, state, and events

React hooks like useState, useEffect, useRef, and more advanced custom hooks

Modern styling approaches with Tailwind CSS 4 and pure CSS

How to structure and organize React projects for scalability

Connecting to APIs and handling real-time data

Creating reusable components and managing shared state

Responsive design principles and mobile-first development

Practical development workflows and tools used in real jobs



This course is packed with modern development practices, straightforward explanations, and clean code you’ll actually understand. Whether you're aiming to become a React developer, freelance, or build your own web apps, this course will give you the experience and confidence to move forward.

Who Is This Course For?

Beginners who already understand HTML, CSS, and JavaScript

Developers with basic React knowledge who want to build real apps

Students looking to strengthen their portfolio with modern projects

Self-taught learners who prefer practical, project-based learning

Anyone who wants to learn React 19 and Tailwind CSS 4 by building

Tools & Technologies Used

React 19 – the latest and most powerful version of React

Tailwind CSS 4.0 – modern utility-first styling

Pure CSS – to give you flexibility and foundational styling experience

Live APIs – for real-world data integration

By the end of this course, you'll not only understand React and Tailwind CSS—you’ll have 15 polished projects under your belt that you can showcase in your portfolio or resume.

If you're ready to stop watching and start building, this course is made for you.

Let’s code and create—together.

Who this course is for:
  • Web developers who already know HTML, CSS, and JavaScript and want to take their skills to the next level with React.
  • Beginner React developers looking to build real-world projects and strengthen their hands-on experience with modern React 19.
  • Frontend developers who want to master Tailwind CSS 4 and build beautiful, responsive UIs in real projects.
  • Self-taught developers who are tired of theory and want a fully practical, project-based React course.
  • Anyone who wants to build a strong portfolio of real-world web apps using React, CSS, and Tailwind to land a developer job.

React JS & ChatGPT Course 2026: Build Modern AI-Powered Apps

reactjs-chatgpt-crash-course-build-apps-step-by-step

React JS & ChatGPT Course 2026: Build Modern AI-Powered Apps - 
Master React JS with ChatGPT | Learn Hooks, States, Routing, Tailwind, and Reactstrap by Building Real AI Projects

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Description
Are you ready to master React from scratch with the power of AI + Hands-on Projects?
This course is designed for absolute beginners and intermediate learners who want to learn React step by step with practical coding examples, AI-powered assistance, and real-world projects.

What You’ll Learn:

Set up a React environment and create your first app

Understand Virtual DOM, Rendering, and JSX with AI assistance

Master React Components (Functional & Class Components)

Work with Props, Events, Lists, and Conditional Rendering

Learn Dynamic & Reusable Components

Style your apps with CSS, SASS, Bootstrap, Tailwind, Reactstrap

Handle Forms & Validations manually + with libraries

Explore React Hooks: useState, useEffect, useRef, useMemo, useCallback, useReducer, useContext, Custom Hooks

Build routing systems with React Router v6.4

Work with Nested Routes, Dynamic Routing, Programmatic Navigation, and Lazy Loading, and code splitting

Deploy your React projects on GitHub Pages using Git

Hands-On Projects:

Counter Progress Bar App – Learn React basics using Git Command + GitHub Deployment

Todo App (CRUD) – Create a full Task Management App with Tailwind CSS, CRUD functionality, and deployment

Why This Course?

1. Beginner-friendly explanations with step-by-step guidance
2. ChatGPT-powered examples to make concepts crystal clear
3. Real-world projects to add to your portfolio
4. Covers fundamentals to advanced topics of ReactJS
5. Perfect for students, developers, freelancers, and job seekers

By the end of this course, you’ll be able to build, style, and deploy modern React apps confidently.

Who this course is for:
  • Beginners who want to start their journey in ReactJS development.
  • JavaScript developers who want to upgrade their skills with modern React practices.
  • Students & professionals who want to learn by building real-world projects.
  • AI enthusiasts curious about integrating ChatGPT with React for smarter applications.
  • Anyone looking to deploy professional React apps and showcase them in a portfolio.

Python Projects: Build 50+ GUI, OpenCV & Terminal Projects

python-projects-build-gui-opencv-terminal-projects

Python Projects: Build 50+ GUI, OpenCV & Terminal Projects
Build 50+ Real-World Python Projects with OpenCV, Tkinter GUI, and Terminal-Based Applications

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Description
Welcome to the ultimate hands-on Python project course designed to take your programming skills to the next level! In this course, you will build 50+ real-world Python projects that cover a wide range of applications—from simple terminal-based programs to advanced computer vision and GUI applications.

This course is completely project-driven, helping you learn Python by building practical applications step by step. You’ll start with terminal-based projects to strengthen your Python fundamentals such as variables, loops, functions, file handling, and error management. As you progress, you’ll move on to GUI development using Tkinter, where you’ll create interactive desktop applications like calculators, text editors, form-based apps, and more.

A major highlight of this course is Python OpenCV. You’ll work on exciting computer vision projects such as face detection, image processing, motion detection, camera-based applications, and real-time video analysis. Each project is explained clearly, focusing on both logic and implementation.

Whether you’re a beginner looking to gain confidence or an intermediate learner aiming to build a strong portfolio, this course will give you practical experience, problem-solving skills, and industry-relevant projects—all in one place.

By the end of the course, you’ll have a powerful Python project portfolio and the confidence to build your own applications from scratch.

Who this course is for:
  • Beginners who want to learn Python by building practical applications instead of just theory
  • Students looking to strengthen their Python skills and create a strong project portfolio
  • Intermediate Python learners who want more experience with OpenCV, Tkinter GUI, and real-world problem solving
  • Aspiring developers aiming to become job-ready with project-based learning

Java 25 - Modern Java Features: Concurrency & Performance

modern-java-25-advanced-features-for-backend-developers

Java 25 - Modern Java Features: Concurrency & Performance
Master Java 25 features including Virtual Threads, Structured Concurrency & Scoped Values with real-world examples
New

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Description
This advanced course focuses on Java 25 new features and modern Java development for backend and enterprise applications.



You will learn how to use Java 25 features such as Virtual Threads, Structured Concurrency, Scoped Values, and core API enhancements to build scalable, high-performance backend systems.



Java 25 introduces major improvements in concurrency, performance optimization, and developer productivity. This course provides hands-on, implementation-focused guidance on adopting these features using production-grade examples commonly seen in enterprise backend systems.



Unlike general Java tutorials, this course focuses exclusively on Java 25 new features and their real-world adoption. Each topic goes beyond theory into code-level implementation, covering design decisions, JVM behavior, performance implications, and best practices for modern Java development.



You will also learn when and how to adopt Java 25 features in existing Spring Boot, Microservices, and backend architectures, including migration strategies, backward compatibility considerations, and common pitfalls to avoid in production environments.



Each lesson follows a structured learning flow: introduction to the core concept, the real-world problem it solves, practical implementation, internal JVM behavior explanation, and assignments to reinforce hands-on learning.



By the end of this course, you will have an expert-level understanding of Java 25 features, enabling you to modernize legacy applications, improve scalability, and write efficient, future-ready Java backend code with confidence.



[ Some graphics in this course are used under Freepik license: Designed by Freepik ]

Who this course is for:
  • Java developers working with Java 17 or Java 21 who want to learn what’s new in Java 25
  • Backend and Spring Boot developers upgrading existing applications to run on Java 25
  • Enterprise and product-based company developers maintaining long-term Java codebases
  • Professionals who want to future-proof their Java skills by understanding modern Java direction

Building Real World Systems With Spring Boot

building-real-world-banking-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.

Become Framer PRO in 2026: Create & Launch No Code Websites

become-framer-pro-create-launch-no-code-websites

Become Framer PRO in 2026: Create & Launch No Code Websites - 
Master the Framer tool and create stunning websites without writing a single piece of code.

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Description
Tired of clunky website builders that frustrate your designs? Unlock the power of Framer in this no-code mastery course, where you'll build stunning, interactive websites—from sleek portfolios to dynamic blogs—without a single line of code. Start as a beginner with fundamentals like frames, stacks, and components, then progress to pro skills: scalable design systems, responsive layouts, captivating animations (hovers to parallax, now enhanced with 2025's Squircle for ultra-smooth corners), CMS integration, custom forms, and AI acceleration via Wireframer and Workshop for lightning-fast layouts and themes. Including draggable interactions, automatic orientation detection, and real-time publishing that turns prototypes into live sites in minutes. Optimize for SEO with built-in tools, publish on custom domains effortlessly.

This isn't just theory; You'll tackle a lot of hands-on projects that build progressively—refactoring early sketches into a full, AI-polished portfolio site—complete with quick wins like previewing your first responsive hero section or exporting a monetizable template. Feel the momentum as you troubleshoot like a pro, collaborate via shared libraries, and explore real-world case studies of top Framer sites powering agencies and startups. Whether you're iterating on a personal brand or crafting client deliverables, every lesson reinforces achievement, turning "I wish I could" into "Look what I built."

Ideal for aspiring creators, freelancers, and entrepreneurs—no experience needed, just a free Framer account and your imagination. Join thousands transforming curiosity into career-boosting skills. Enroll now, claim your project blueprint, and start designing your breakthrough today.

Who this course is for:
  • Someone who wants to build websites without coding
  • Freelancers wanting to improve their skills
  • Designers who want to expand their horizon and master website creation
  • People with NO CODING background

Statistics 101: Guiding Data Science & Analysis using Excel

statistics101

Statistics 101: Guiding Data Science & Analysis using Excel - 
Statistics, Data Analytics, Data Science, Methods, Basics of Machine Learning, Linear Algebra

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Description
Interested in the pathway to Machine Learning? Path to Machine Learning begins with Statistics. This course is for such students! This course is for Beginners and uses Excel for Data Analysis ( Data Analysis Toolpak and Excel Functions)

The course is designed to provide the fundamentals of machine learning and deep learning. It is targeted toward newbies, scholars, students preparing for interviews, or anyone seeking to hone the data science skills necessary. In this course, we will cover the basics of machine learning, and deep learning and cover a few case studies.



This short course provides a broad introduction to machine learning, and deep learning. We will present a suite of tools for exploratory data analysis and machine learning modeling. We will get started with python and machine learning and provide case studies using keras and sklearn.

Contents:

- Measures of Central Tendency, Measures of Dispersion, Visualization
- How to create Pivot Tables

- How to enable Data Analysis Toolpak

- Contingency Tables in Excel

- Binomial Distribution and Normal Distribution in Excel

So what are you waiting for? Learn Statistics and Data Analysis in a way that will enhance your knowledge and improve your career!

Thanks for joining the course. I am looking forward to seeing you. let's get started!

Who this course is for:
  • Machine learning enthusiasts, scholars or anyone seeking to hone the data science skills necessary
  • Beginner and intermediate developers interested in data science.

The Modern Python 3 Bootcamp

the-modern-python3-bootcamp

The Modern Python 3 Bootcamp - 
A Unique Interactive Python Experience With Nearly 200 Exercises and Quizzes

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Description
Updated to include SQL + Python!

Welcome to the Modern Python 3 Bootcamp!  I've launched my fair share of Udemy courses, but I've never done anything quite this crazy.

This course is a unique experience on Udemy. There are dozens of existing Python courses you can choose from, but this course is the only one that has nearly 200 interactive challenges you can complete right here in your browser. I didn't just tack on a couple of exercises at the end; this course is fully built around the coding exercises.   This course is all about getting you writing code ASAP, rather than sitting back watching a bunch of videos.  

In development, I referred to this course as a hybrid between a typical Udemy course and an interactive Codecademy-style course.  You get over 25 hours of in-depth videos and my dumb jokes along with meticulously created exercises and quizzes to test your knowledge as you go.

Many of the older Python courses still focus on Python 2.  This course is all about writing the most modern, up-to-date Python code, so Python 3 was the obvious choice.  The course covers all the latest additions and changes to the Python language.  The course also places a large emphasis on thinking like a Python developer, and writing code the "Pythonic" way.

As for the curriculum, This course teaches all the key topics covered by other Python courses, but also covers more advanced topics like web scraping, crawling, and testing, just to name a few.  Please feel free to explore the curriculum and watch some of the free preview videos!

Python is consistently ranked in either first or second place as the most in-demand programming languages across the job market.  It has applications in data science, machine learning, web development, self-driving cars, automation, and many many other disciplines.  There has never been a better time to learn it!

I'm spent years teaching people to program at in-person bootcamps in the San Francisco Bay Area.  In recent years, I've started bringing my methods from the classroom to the online world. In my first year teaching online, I was selected as the Best Newcomer Instructor in the Udemy Instructor Awards 2015.  I'm passionate about making the best possible online learning experiences that mirror my in-person courses.

If you want to take ONE COURSE to master Python take this course.

Who this course is for:
  • Anyone who wants to learn Python.
  • Anyone who is curious about data science, machine learning, or web development
  • Anyone who wants to get tons of practice with the interactive exercises.

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

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.

2026 Deep Agent - Multi Agent RAG with Gemini and Langchain

deep-agent

2026 Deep Agent - Multi Agent RAG with Gemini and Langchain - 
Langchain v1 AI Agents, Multi-Modal Deep Agents, Multi Agent Deep Advanced RAG, Google Gemini 3, Qdrant, Docker, Docling

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Description
This course is a complete, hands-on guide to building real-world AI agents and deep research (DeepAgent) systems using Google Gemini, LangChain v1, MCP, and modern RAG techniques.

You will start from the absolute basics of AI agents and slowly move towards building advanced autonomous multi-agent systems used for deep financial research. The course is designed in a progressive way so that beginners can follow along, while experienced developers will still learn advanced production-grade patterns.



The focus of this course is not only theory. You will build everything step by step using Python notebooks, real APIs, real documents, and real data pipelines.



What this course covers

You will first understand what an AI agent really is. You will learn different agent patterns, how agents reason, how they take actions, and how to choose the right agent design for a real project.

You will then set up Google Gemini AI Studio and LangSmith properly. This includes creating API keys, understanding pricing, rate limits, and tracing agent executions so you can debug and monitor your agents like a professional.



After that, you will go through a complete Gemini and LangChain bootcamp. You will learn how to use Gemini models in Python, how messages work internally, how streaming responses work, how multimodal inputs are handled, and how to use tools, function calling, reasoning mode, grounding, and context caching to reduce cost and improve performance.



Once the foundations are clear, you will move into LangChain agents. You will build agents with memory, state management, summarization middleware, fallback models, PII protection, planners, streaming responses, and structured outputs using Pydantic.

The course then introduces MCP through a finance use case. You will connect external MCP servers like Yahoo Finance, load them as LangChain tools, and build a complete stock research agent with structured prompts and planners.



Deep RAG and Multimodal Finance Systems

A large part of this course focuses on Deep RAG systems for finance.

You will learn why multimodal RAG is hard, what problems occur with PDFs, tables, images, and long documents, and how to design a reliable deep RAG pipeline.

You will extract data from financial PDFs using Docling. This includes converting PDFs to markdown, extracting tables with context, tracking page numbers, extracting images, and validating data integrity at scale.

You will then generate accurate image descriptions using multimodal Gemini models and store those descriptions in markdown so everything can be handled in a single text-based pipeline.

Next, you will ingest large amounts of multimodal data into Qdrant vector database. You will learn dense search, sparse search, hybrid search, metadata filtering, de-duplication using file hashes, and best practices for chunking and retrieval models.

On top of that, you will build advanced retrieval pipelines using hybrid search and cross-encoder re-ranking for better answer quality.



Building Real Multi-Agent Deep Research Systems

In the final sections, you will build full multi-agent deep research systems from scratch.

You will design autonomous agents that work like an expert research team with orchestrator, researcher, and editor agents. These agents will plan tasks, run deep research, synthesize results, and produce structured outputs.

You will learn how agent states are shared, how tools are injected at runtime, how files are managed by agents, and how prompts are designed differently for orchestrator, researcher, and editor roles.

You will also explore LangChain’s built-in deep agent architecture and build a complete deep finance research agent using sub-agents and a file backend.



Who this course is for

This course is for developers who want to go beyond basic chatbots and build serious AI systems.

It is ideal for:

AI engineers working with LLMs

Backend developers building RAG systems

Data scientists working with documents and research

Finance and analytics professionals interested in AI automation

Anyone who wants to understand how real multi-agent systems are built in production

Basic Python knowledge is recommended, but some prior agent or RAG experience is recommended.

By the end of this course, you will be able to design, build, and debug advanced AI agents, multimodal RAG pipelines, and autonomous multi-agent research systems using Gemini and LangChain.

You will not just understand concepts. You will have built complete, end-to-end systems that you can reuse in real projects, startups, or enterprise environments.

Who this course is for:
  • AI engineers, backend developers, and data scientists who want to build Gemini-based agents, multimodal RAG systems, and deep research workflows using LangChain, Docling, Docker, and Qdrant.

ChatGPT & AI Prompt Engineering Mastery

chatgpt-ai-prompt-engineering-mastery

ChatGPT & AI Prompt Engineering Mastery - 
ChatGPT & Prompt Engineering Mastery: Build Real AI Projects, Automations & Workflows

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Description
Welcome to “ChatGPT & AI Prompt Engineering Mastery” — your complete guide to mastering ChatGPT, DALL·E, and SORA for creativity, automation, and smarter everyday work.

This course will teach you how to turn ChatGPT into your personal assistant, idea generator, coder, and data analyst. Whether you’re a beginner or a professional, you’ll learn step by step how to use AI tools to save time, boost productivity, and create impressive results in minutes.

You’ll begin by understanding how ChatGPT works — exploring different models like GPT-4o, o4-mini, o4-mini-high, GPT-3.5, and GPT-4.5 — and discover how to choose the right one for any task. Then, you’ll dive deep into AI prompt engineering, learning how to craft structured prompts using zero-shot, few-shot, chain-of-thought, and tabular techniques to achieve precise and consistent results.

Next, you’ll explore how ChatGPT can help you create content, summarize research, plan projects, and brainstorm ideas effortlessly. You’ll also learn how to analyze data, generate reports, and forecast trends using GPT’s built-in data analysis tools to turn raw information into valuable insights.

In the creative section, you’ll discover how to design visuals with DALL·E and transform still images into videos with SORA, creating professional-quality media from simple text prompts. You’ll also learn how to write and debug code, convert between programming languages, and visualize code logic with GraphViz — even if you have no prior coding experience.

Finally, you’ll explore AI automation and agent creation — learning how to build your own AI assistant using ChatGPT, Python, Zapier, and Make. You’ll discover how to streamline repetitive workflows, automate complex processes, and integrate AI into your daily work.

Throughout the course, you’ll complete real-world projects such as building a prompt library, creating an AI productivity system, automating tasks with Python, and generating a data-driven forecast. Each project reinforces your learning and gives you hands-on experience that you can immediately apply.

By the end of this course, you’ll have mastered the art of AI prompt engineering and will confidently use ChatGPT to think, create, and work with AI — transforming how you write, plan, analyze, and innovate every day.

Who this course is for:
  • Beginners and everyday users who want to understand how to use ChatGPT effectively for personal and professional tasks.
  • Content creators, freelancers, and marketers who want to create blogs, videos, emails, and visuals faster with AI.
  • Students, educators, and researchers looking to summarize papers, create study guides, or generate educational content using ChatGPT.
  • Entrepreneurs and business professionals who want to automate workflows, manage projects, and boost productivity with AI assistants.
  • Developers and tech enthusiasts interested in learning how to code, debug, and visualize programs with ChatGPT — no prior coding experience required.
  • Data analysts or professionals who want to analyze datasets, forecast trends, and build reports using ChatGPT’s data tools.
  • Anyone curious about AI who wants to explore ChatGPT, DALL·E, SORA, and AI agents to stay ahead of the future of work.

Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith

ultimate-rag-bootcamp-using-langchainlanggraph-langsmith

Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith - 
Build powerful RAG pipelines: Traditional, Advanced, Multimodal & Agentic AI with LangChain,LangGraph and Langsmith

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Description
Unlock the Power of Retrieval-Augmented Generation (RAG) – From Traditional to Advanced Agentic AI Systems

In today’s AI-driven world, Retrieval-Augmented Generation (RAG) is one of the most impactful and in-demand techniques, powering everything from intelligent chatbots and personal assistants to automated research agents and enterprise AI systems.

The Ultimate RAG Bootcamp is your complete, step-by-step guide to mastering RAG using the latest and most powerful tools — LangChain, LangGraph, and LangSmith. Whether you’re an AI beginner or an experienced developer, this course takes you from the fundamentals of RAG pipelines all the way to advanced Agentic RAG architectures used in production by leading companies.

Why This Course?

Unlike other courses that only touch on basic RAG concepts, this bootcamp goes deeper. You will:

Learn traditional RAG step-by-step.

Master advanced retrieval strategies like hybrid search, vector optimization, and multimodal RAG.

Implement multi-agent, autonomous AI pipelines that can think, plan, and act collaboratively.

Use LangSmith for experiment tracking, debugging, and performance optimization.

Build real-world, deployable AI applications from start to finish.

By the end, you won’t just understand RAG — you’ll be able to design, optimize, and deploy advanced AI systems for real-world scenarios.

What You’ll Learn

1. RAG Foundations

What RAG is and why it matters.

Traditional RAG architecture: data ingestion, parsing, embeddings, and retrieval.

Choosing and using vector databases effectively.

Building retrieval + generation workflows with LangChain.

2. Advanced RAG Techniques

Advanced chunking strategies for precision retrieval.

Hybrid search: combining vector and keyword search.

Multimodal RAG for text, images, and more.

Persistent memory for context retention.

Self-RAG for improving retrieval quality.

Adaptive & Corrective RAG for dynamic and error-resistant pipelines.

3. Agentic RAG Pipelines

Multi-agent architectures with LangGraph.

Designing agents for research, summarization, and decision-making.

Autonomous RAG with minimal human intervention.

Collaborative AI reasoning with specialized agents.

4. LangSmith for RAG Evaluation & Optimization

Tracking and managing RAG experiments.

Debugging retrieval pipelines and fixing bottlenecks.

Running evaluation metrics to boost accuracy.

5. Real-World RAG Projects

Chatbot with domain-specific knowledge.

Multi-agent research assistant for automated reports.

Multimodal AI assistant with text and image retrieval.

Deploying RAG applications to the cloud.

Who This Course Is For

AI developers & machine learning engineers.

Data scientists integrating retrieval systems.

Software developers building intelligent assistants.

Researchers exploring advanced RAG workflows.

Anyone aiming to master RAG from scratch to production-ready deployment.

Tools & Frameworks You’ll Master

LangChain – Build modular RAG pipelines.

LangGraph – Create advanced agent-based workflows with memory.

LangSmith – Track, debug, and evaluate RAG systems.

Vector Databases – FAISS, Pinecone, Weaviate, and more.

Cloud Deployment – Take AI apps from development to production.

Your Learning Journey

Understand RAG fundamentals.

Build real-world retrieval pipelines.

Advance to agentic and autonomous AI systems.

Deploy and monitor in production.

Optimize for continuous improvement.

RAG is more than just an AI trend — it’s the foundation of intelligent, context-aware applications.

By the end of this bootcamp, you’ll have hands-on, production-ready skills to build and deploy cutting-edge RAG pipelines with LangChain, LangGraph, and LangSmith.

Join the Ultimate RAG Bootcamp today — and start building AI systems that truly understand, reason, and deliver results.

Who this course is for:
  • AI developers & ML engineers who want to master RAG from basics to advanced agentic systems.
  • Data scientists aiming to integrate retrieval systems into AI workflows.
  • Software developers building intelligent assistants, chatbots, or research tools.
  • Researchers exploring advanced RAG workflows and multi-agent AI pipelines.
  • AI enthusiasts & beginners who want a hands-on, step-by-step approach to RAG without prior experience.

Python for Absolute Beginners

Python for Absolute Beginners

 Python for Absolute Beginners - 
Learn Python programming from scratch with hands-on exercises in this Python course!


I found a course on Udemy called The Ultimate Python Basics - Bootcamp1 that teaches you the basics of Python in the easiest and fastest way possible. The course is designed for people with no programming experience and requires only a laptop with at least 2GB of storage to store your files1.


Another course on Udemy called Mastering The Python Basics 2023 Bootcamp2 teaches you how to use Python professionally, learning both Python 2 and Python 3. You will be able to use Python on a daily basis and create your own basic programs with Python2.


Python 3 For Beginners in 2020!


What you'll learn

  • Program fluently in Python
  • Use Pycharm to write their Python programs
  • Understand computer science concepts such as flow control and functions


The Ultimate Python Basics - Bootcamp


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Python for Data Structures, Algorithms, and Interviews!

Python for Data Structures, Algorithms, and Interviews!
Python for Data Structures, Algorithms, and Interviews!, Get a kick start on your career and ace your coding interviews!

  • Created by Jose Portilla
  •  English
  •  English, Spanish [Auto-generated]

What you'll learn

  • Create a great resume
  • Have a LinkedIn and Github profile for recruiters
  • Understand all major Data Structures and Algorithms
  • Ace coding interviews after preparing with the course's mock interviews

Includes

  • 16.5 hours on-demand video
  • 20 articles
  • 44 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

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Deep Dive iOS 26 & SwiftUI 6: 90-Hour Project-Based Course

deep-dive-ios-16-swiftui-programming

Deep Dive iOS 26 & SwiftUI 6: 90-Hour Project-Based Course, 
Swift, API Integration, Localization, SwiftData, Charts, MapKit, Mac Apps, Push Notifications, Machine Learning and More

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Description
Master iOS Development with Swift and SwiftUI



Build stunning, multilingual apps using the latest iOS 18 and iOS 26+ features, including 3D Charts, the Rich Text Editor, and On-device AI with the new Foundations Model Framework. This course is actively being updated for iOS 26, iPadOS 26, and macOS 26, and will continue to receive updates until Xcode 26 reaches a stable release.



What You’ll Learn

Master Swift and SwiftUI to build modern, scalable iOS apps

Use the MVVM architecture to structure apps professionally

Work with iOS 18 & iOS 26 features like tinted icons, 3D charts, rich text, and Apple’s on-device AI

Build real-world apps for iPhone, iPad, and macOS

Use CoreML and CreateML for machine learning

Leverage Swift Data and Core Data for persistence

Localize your apps for multiple languages

Apply animations, gestures, and advanced UI components

Learn data flow with @State, @Binding, @ObservedObject, and more

Requirements

macOS with Xcode installed

No prior iOS or Swift experience needed

Willingness to learn through hands-on projects

Description

Welcome to the most practical and comprehensive SwiftUI course available – fully updated for iOS 18 and already covering the latest iOS 26+ features like 3D Charts, Rich Text Editing, and AI with Apple’s Foundation Model.

This is a project-based course, where you'll learn iOS development by actually building apps. No long-winded theory – we dive straight into real-world projects that grow in complexity and cover beginner to advanced topics.

You’ll start by learning Swift fundamentals, then move into building increasingly sophisticated apps using MVVM architecture, animations, gestures, CoreML, Swift Data, Core Data, and more.

This course is also dynamic: I regularly add new material based on Apple releases and student requests.

What's New in iOS 26 (Already Covered)

3D Charts using Swift Charts

Rich Text Editor with Markdown and Attributed Strings

Integration with Foundation AI models for on-device intelligence

What’s Inside the Course

Swift Fundamentals

Variables, constants, arrays, loops, structs, enums, tuples, and more

Higher-order functions and functional programming

Coding exercises to strengthen core concepts

SwiftUI Basics

VStack, HStack, ZStack, Grids

AsyncImage, gradients, text, and alignment

Working with light/dark mode and custom icons (including tinted icons in iOS 18)

Real-World Apps You’ll Build

Greetings App – Multilingual support, gestures, dark/light mode

Recipe App (MVVM) – Lists, navigation, and reusable views

Calculator App – Beautiful Dribbble-inspired UI

Alarm App – Local notifications, custom toggles, gestures

Chinese Continuing App – API calls, splash screens, testing

FizzBuzz App – Generate code in Swift, C, JavaScript, Rust & more

Conway’s Game of Life – Advanced logic + UI customization

Tip Calculator – Responsive design for iPhone/iPad + localization

Flashcards App – Tap and drag gestures

Mystic Puzzle Game – Logic-heavy 15-tile puzzle with animations

Working with Charts and Data

SwiftUI Charts: line, bar, area, pie, donut

3D Charts (iOS 26+)

Activity tracking with Swift Data

Lissajous curves and prime number theorem plots

Data Persistence

Swift Data: Apple’s lightweight Core Data replacement

Core Data with MVVM

Local file storage and JSON decoding

AI and Machine Learning

Foundation Model (iOS 26+): Apple’s on-device AI model

CoreML + CreateML: Titanic survival prediction project

Code Efficiency

Code snippets, tabbed views, gradient masks, default clean views

HTML to Color converter for design integration

Context menus, clipboard access, and custom fonts

Who This Course Is For

Beginners who want to learn Swift and iOS app development

Developers upgrading from UIKit to SwiftUI

Designers looking to turn mockups into live apps

Anyone who wants to build multilingual, fully responsive, and modern iOS apps

Instructor Support

Ask questions anytime in the Q&A – I check twice daily. I also respond to messages directly and take student suggestions seriously. This course evolves with you!

Final Thoughts

I built this course with passion and a focus on real-world apps. You’ll leave not only with knowledge but also with a portfolio of polished projects and the confidence to build your own.

Let’s build something amazing together!

Bonus Projects

Quote of the Day App – API fetching and custom font usage

Multilingual Animal Game – Text-to-speech in English, Spanish, French

Finance App UI, Task Manager UI, Meditation UI, Body Shape UI – All Dribbble-based frontend projects

Speed-coded Meditation App – Built in under 30 minutes

Enroll now and start building your first SwiftUI app today!

This is a living course, meaning new content is added regularly — both from my own ideas and in direct response to student requests. Your feedback helps shape the direction of future lessons.

I genuinely hope you enjoy this course as much as I enjoyed putting it together. Don’t just follow along — make the code your own. Tinker, experiment, and try building an app idea that excites you.

If you ever have questions, feel free to ask in the Q&A or message me directly. I check and respond twice a day and am always happy to help.

Happy coding — and have a great day!

– Ron



Who this course is for:
  • Beginner-intermediate programmers or anyone wanting to learn to program iOS 18 using Swift and SwiftUI

AI Automation: Build LLM Apps & AI-Agents with n8n & APIs

ai-automation-build-llm-apps-ai-agents-with-n8n-apis

AI Automation: Build LLM Apps & AI-Agents with n8n & APIs - Automate Everything: n8n, LLMs, OpenAI API, Claude, Ollama, MCP & RAG! Business & Private Agents; More than just ChatGPT

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Description
AI Automation is the Future!

But how does it really work? And how can AI optimize business processes—on a whole new level, far beyond ChatGPT? The answer: AI Agents.

This course guides you through both essential and advanced concepts in automation using AI automation, AI agents, LLMs, vector databases, Retrieval-Augmented Generation (RAG), and n8n. You'll learn how to create powerful automations, build intelligent AI agents, and seamlessly integrate them into your workflows to enhance both business and personal projects.

Additionally, you'll receive 29 downloadable JSON workflows to accelerate your learning and implementation.

What You’ll Learn in This Course:

Fundamentals of Automation, AI Agents & LLMs

Dive into the world of AI automation:

Introduction to automation, AI agents & essential tools (n8n, Make, Zapier, LangChain, LangGraph, Flowise).

Understanding APIs and their role in automation.

LLMs explained: ChatGPT, Claude, Gemini, Deepseek, Llama, Mistral & more.

OpenAI API: Pricing structure, GDPR-compliant usage & project setup.

Function calling with LLMs: How AI agents use tools like calendars, emails, web search, webhooks, Airtable, Google Sheets, and more.

RAG (Retrieval-Augmented Generation): Vector databases & embeddings explained.

n8n Basics: Installation & First Workflows

Master the fundamentals of n8n, the key to intelligent automation:

Local installation with Node.js & using the web version without installation.

Importing, exporting, and selling workflows.

Setting up automations with Airtable, Google Sheets & Google Cloud.

Using simple JavaScript variables in automation.

Expanding AI Automation with LLMs

Build advanced AI-powered automations:

Email automation with OpenAI API, Gmail, and Airtable.

Real-time sentiment analysis & database storage.

Integrating open-source LLMs (Deepseek R1, Llama, Mistral) into automation.

Using any LLM API in n8n (Deepseek API, Groq API & more).

Integrating AI Agents & RAG Chatbots into Workflows

Automate customer communication & data processing:

RAG Agent: Automatically updating vector databases with Google Drive.

RAG Chatbot using AI agent nodes, embeddings & retrieval techniques.

AI-powered email agents for automated summaries & responses.

Prompt Engineering for AI Agents

Optimize your prompts for better AI responses:

Principles & best practices for effective prompt engineering.

Avoiding errors & precisely controlling AI outputs.

Hosting, Social Media & Advanced Automations

Expand your automations with self-hosting & real-time integrations:

n8n self-hosting with Render & other options.

Using AI agents in WhatsApp & Telegram.

Social media automation with sub-workflows, webhooks & web scraping.

Debugging & Optimizing API Integrations

Enhance performance & error handling in n8n workflows:

Debugging strategies for error-free n8n automations.

Connecting Flowise AI agents with webhooks & Google Sheets.

Extending n8n with Flowise & JavaScript custom tools.

MCP Quickstart: Build Smarter AI Agents with Model Context Protocol

Learn to integrate MCP into your n8n workflows:

What MCP is and how Server & Client interact

Hosting AI agents with Clade Desktop and MCP

Using MCP Server & Host directly inside n8n

Building a Business with AI Automation & AI Agents

Leverage your skills to create a profitable AI automation business:

Selling automations & AI agents as services.

Developing market-ready RAG bots for lead generation & website integration.

Marketing strategies for successfully selling AI solutions.

Optimizing RAG Chatbots: Data Quality & Chunking

Improve AI responses with optimized data strategies:

Chunk size, overlap & data quality for better chatbot performance.

Using Firecrawl for web data extraction in Markdown format.

LlamaIndex & LlamaParse for data preprocessing in Google Colab.

Security, Privacy & Ethical Considerations

Protect your AI agents & ensure GDPR compliance:

Understanding & preventing jailbreaks, prompt injections & data poisoning.

Ensuring copyright & data protection for AI-generated content.

Key legal frameworks: EU AI Act & more

Additionally, you'll gain access to 29 ready-to-use JSON workflows, available for download to streamline your learning experience and accelerate implementation.

Become an Expert in AI Agents & Automation!

After this course, you will have a deep understanding of AI automation, n8n, LLMs & RAG and be able to develop, optimize, and deploy powerful AI agents for business applications.

Sign up now and step into the future of AI automation.

Who this course is for:
  • For entrepreneurs who want to become more efficient, save money, or build an AI business.
  • For anyone eager to learn something new and gain deep insights into AI automation.
  • For individuals interested in AI and automation who want to build their own agents.
  • For developers and data scientists who want to stay on top of GenAI, automation, AI agents, and frameworks.
  • For anyone looking to automate tasks.

Spring Framework 5 and Spring Boot 2

spring-framework-and-spring-boot

Master Spring and Spring Boot with Security

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Description
Spring 5 is a functional web framework for back-end development and is quite famous among Java developers when it comes to designing an enterprise-based application.

It consists of lots of modules and projects, which makes it very huge.

The Spring Framework and Spring Boot enable developers to create high-performing, reusable, easily testable, and loose-coupling enterprise Java applications
It can be used to develop any Java application.


Knowledge of Spring Framework has a huge demand in the enterprise market, and Spring Framework developers are paid handsomely.
Having Spring Framework on your resume will highlight you among other Java developers.


This course offers hands-on experience building Spring Framework apps using Spring Boot.
This course will be interactive and fun, as I will code all the projects from scratch.
By taking this course, you will have the latest skills that you need to build real apps using the Spring Framework.


Requirements for this Course:

Basic Knowledge of HTML, CSS and JS is helpful

Knowledge of SQL and databases is helpful

Good knowledge of Core Java, JDBC and Servlets.

Learn these important topics

Spring Boot

Spring Core (IoC)

Spring MVC

Spring AOP

Spring Data JPA

Spring REST

Spring Security




Who this course is for:

This learning path is for developers who wish to create their own web apps with Spring 5

This course is ideal for developers who wish to use the Spring Frameworks for enterprise application development

Who this course is for:
  • Java Developer who wants to explore Spring Framework