Course Title:

LLM-Powered Automation

Master the art of building intelligent automation with Large Language Models (LLMs) in this comprehensive MCP Developer course. Learn how to design, deploy, and scale LLM-powered systems that can reason, plan, and act autonomously. Through hands-on projects, you’ll integrate LLMs with APIs….
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Description

The Complete MCP Developer Course

Course overview
Master the art of building intelligent automation with Large Language Models (LLMs) in this comprehensive MCP Developer course. Learn how to design, deploy, and scale LLM-powered systems that can reason, plan, and act autonomously. Through hands-on projects, you’ll integrate LLMs with APIs, workflows, and real-world automation tools. This course covers everything from prompt engineering to multi-agent orchestration and custom tool development. By the end, you’ll be ready to create next-generation AI solutions that drive efficiency, innovation, and impact.
Certification included
Learn to use all the related tools, walk into a job and be a rockstar from day one. The skill you need to become a real professional. Learn the tools used by the world’s top professionals. Boost your confidence, master the field.

Introduction

Welcome & Course Overview

This section provides an introduction to the course, outlining its goals, structure, and key learning outcomes. Learners will gain a clear understanding of what to expect, how the modules are organized, and the skills they will develop by the end of the program. It sets the stage for a guided and engaging learning experience.
Course Overview
03:08
Who Should Take This Course
01:32
Prerequisites
01:36
Environment Setup for Working with MCP
05:59
Jupyter and Google Colab
03:08
Assessment 1 – Course Introduction & Setup
5 questions

MCP Introduction

This section introduces the MCP (Model-Centric Process) framework, explaining its core concepts, principles, and relevance in modern automation and AI development. Learners will explore how MCP streamlines workflows, enhances efficiency, and integrates large language models into business processes. It sets the foundation for understanding the complete MCP development lifecycle.
What is MCP
04:54
MCP Community
01:07
MCP Documentation
02:07
Assessment 2 – MCP Fundamentals
5 questions

Project 1: MCP Hello World / Weather API Tool

In this project, learners will build their first MCP-powered automation tool — a “Hello World” Weather API application. This hands-on exercise introduces the fundamentals of MCP development, including environment setup, API integration, and basic workflow automation. By the end, learners will understand how to connect external data sources and generate intelligent, context-aware responses using MCP.
Hello World Introduction
01:20
Hello World Environment Setup
02:31
Run the Hello MCP tool
03:50
Hello World Assignment
01:07
Weather Tool Introduction
01:41
Weather Tool API Key Setup
01:59
MCP Weather Tool Demo
03:04
Weather Tool Code Explanation
03:31
Summary and Final Thoughts
01:58
Assessment 3 – Hello World & Weather Tool
10 questions

MCP Architecture in Depth

This section provides a detailed exploration of the MCP architecture, breaking down its core components, data flow, and system interactions. Learners will gain insights into how models, connectors, and processes work together to enable automation. By understanding each architectural layer, they’ll be better equipped to design, deploy, and optimize MCP-based solutions effectively.
MCP Core Components
01:50
MCP Tools Introduction
02:47
MCP Resources
03:39
MCP Tools Vs MCP Resources
02:37
MCP Server
01:41
MCP Client
01:57
MCP Prompts
02:12
Overview of Core MCP Concepts
02:18
Assessment 4 – MCP Core Concepts
10 questions

Project 2: MCP Server with GitHub

In this project, learners will develop and deploy an MCP Server integrated with GitHub, showcasing real-world automation capabilities. They’ll learn how to configure MCP to interact with GitHub APIs, manage repositories, and automate developer workflows. By completing this project, learners will gain hands-on experience in building scalable, collaborative MCP solutions for software development environments.
Github MCP Introduction
03:08
Github MCP Setup
03:37
Git Info Tool
04:42
Repository Tools
05:22
Files Tools
06:50
Github MCP Summary
03:11
Assessment 5 – GitHub MCP
10 questions

MCP Server with X/Youtube

In this project, learners will build an MCP Server integrated with X (Twitter) and YouTube, enabling intelligent automation across social platforms. They’ll learn how to connect APIs, fetch and analyze content, and automate posting or data-driven interactions. By completing this project, learners will understand how MCP can power creative and analytical workflows in social media automation.
Introduction to the Twitter MCP Tool
01:27
API Key Setup
04:50
Tweet Posting Tool Implementation
02:07
Track Username Changes
05:31
Fetch Recent Tweets
04:06
Twitter MCP Tools Summary
03:02
Assessment 6 – Twitter MCP Tool
5 questions

MCP Server with Gmail

In this project, learners will create an MCP Server integrated with Gmail, focusing on automating email management and communication workflows. They’ll learn how to connect securely with Gmail APIs, read and process messages, and trigger intelligent responses or actions. By the end, learners will have hands-on experience building productivity-focused MCP automations for real-world business use cases.
MCP Tools for Gmail – Introduction
01:05
Setting Up Gmail Client Secret
03:35
Google OAuth2 Authentication with get Credentials
02:05
Create Draft Tool
04:20
MCP Tool – Send Email
02:50
MCP Tool Read Labels
02:42
Assignment – Working with Gmail Labels Using MCP Tools
01:32
Gmail MCP Tool Summary
02:28
Assessment 7 – MCP Tools for Gmail
10 questions

MCP Server with Zappier

In this project, learners will build an MCP Server integrated with Zapier, enabling seamless automation across multiple apps and services. They’ll learn how to connect MCP workflows with Zapier triggers and actions, extending automation beyond individual platforms. By completing this project, learners will master how to design scalable, cross-platform automations powered by MCP intelligence.
Introduction to Zapier and MCP Integration.edited
01:13
Email Automation with Claude & Zapier
02:39
Configuring Claude with MCP Zapier
04:32
Drafting an Email using Claude
02:04
Drafting Emails with Cursor
04:32
Scheduling a Calendar Event with Cursor
03:57
Assignment-Build a Linkedln Post Automation Tool using Zapier MCP and AI
02:09
Unlocking the Future of AI-Powered Automation
01:41
Assessment 8 – Zapier & MCP Integration
5 questions

Developing, securing, and containerizing an MCP server

This section guides learners through the complete lifecycle of developing, securing, and containerizing an MCP server. They’ll learn best practices for coding and configuration, implementing authentication and access controls, and using Docker to containerize and deploy their MCP solutions. By the end, learners will be equipped to build secure, portable, and production-ready MCP environments.
Introduction to Docker
05:47
Setting Up Docker
01:41
Key Components in Docker
02:50
Hello World Tool
04:58
Weather MCP Tool
04:03
Deep Dive into Docker Commands
05:14
Essential Docker Commands
02:57
Docker Security Essentials
06:10
Docker Summary
06:14
Assessment 9 – Docker Fundamentals
10 questions

Wrap up Summary

This section provides a comprehensive wrap-up of the course, reinforcing key concepts, tools, and skills learned throughout the MCP journey. Learners will review major projects, best practices, and real-world applications of MCP-powered automation. It concludes with guidance on next steps, advanced learning paths, and how to apply MCP expertise in professional or enterprise settings.
MCP Course Summary
07:34

Get Certified

Certificate of Completion