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Udemy

Claude Cowork: Build Agents,Skills & Real World AI Coworkers

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Overview

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F1 Strategy Advisor Project, Then Build Many More AI Coworkers with Skills, Plugins, Subagents, MCP, Artifact, Dispatch

What you'll learn:
  • Introduction to Anthropic & It's Products
  • Meet Claude
  • Various Claude Products + Claude Design ?
  • Comparing Chat vs Code Vs Cowork
  • A new era of Productivity
  • Claude Cowork Introduction
  • The Agent Loop : How Claude Actually works
  • Claude Cowork - Under the Hood
  • Claude Cowork - How to Access ?
  • Demo: How to Install ?
  • How to access Claude Desktop App
  • Understanding the Interface & Settings
  • Understand the F1 Advisor
  • What are Projects & Demos
  • What is ClaudeMD File & Demo
  • What is Multimodal & Demo
  • What is a Skill in Claude Cowork & Demos
  • WebSearch & Demos
  • What are /commands
  • What are Plugins & Demos
  • What is an Artifact & Demos
  • How to use MCP in Claude Cowork
  • How to use Dispatch
  • Build Real World AI Coworkers
  • Smart Bank Statement Processing Coworker
  • RFI -> RFP & Company Slide Deck Coworker
  • Expense Report Processor Coworker
  • Smart Customer Replies Coworker

Claude Cowork & Skills: From F1 Advisor to Real-World AI Coworkers

Course Subtitle

Master Claude Cowork, Skills, Projects, Plugins, MCP Connectors, Artifacts, Scheduled Tasks and Dispatch Mode by building practical AI coworkers for finance, sales and customer service workflows.

Course Description

Claude Cowork introduces a new way of working with AI. Instead of using AI only for individual chat prompts, you can create intelligent coworkers that understand instructions, work with files, use tools, access connected data and complete multi-step tasks.

In this hands-on course, you will learn how to use Claude Cowork and Claude Skills to build practical AI-powered workflows.

You will begin by understanding Anthropic, Claude and the different ways of working with Claude Chat, Claude Code and Claude Cowork. You will then explore the Claude Cowork interface, workspace folders, projects and the agent loop that enables Claude to plan, act and review its work.

To make the learning experience practical and engaging, you will first build an F1 Advisor. This project demonstrates how Claude can analyse Formula 1 telemetry data, interpret images, search the web, query databases and generate interactive dashboards.

After learning the core components, you will apply your skills to several real-world business scenarios.

You will build:

  • A Smart Bank Statement Processing Coworker

  • An RFI-to-RFP and Company Presentation Coworker

  • An Expense Report Processing Coworker

  • A Smart Customer Email Reply Coworker

These projects demonstrate how AI coworkers can process documents, apply business rules, create reports, generate presentations, work with databases and automate recurring tasks.

By the end of the course, you will understand how to design, build and run reusable AI coworkers that can support real business processes.

What You Will Learn

By completing this course, you will be able to:

  • Understand Anthropic, Claude and the Claude product ecosystem

  • Compare Claude Chat, Claude Code and Claude Cowork

  • Understand how Claude’s agent loop works

  • Install and navigate the Claude Desktop application

  • Configure Claude Cowork projects and workspace folders

  • Create effective project instructions using MD File for Claude

  • Analyse structured telemetry and business data

  • use Claude’s multimodal capabilities with files and images

  • Create reusable Claude Skills using Markdown instructions

  • Create and use custom slash commands

  • Build and invoke Claude plugins

  • Use web search within AI-powered workflows

  • Generate live dashboard Artifacts

  • Connect Claude to a local SQLite database using MCP

  • Query connected databases using natural language

  • Create and test scheduled tasks

  • Understand and use Dispatch Mode

  • Process bank statements and generate financial summaries

  • Convert an RFI into an RFP response and company presentation

  • Review expense reports against company policies

  • Automate intelligent customer email responses

  • Design reusable AI coworkers for real-world business workflows

Main Course Projects

1. F1 Advisor

Build an intelligent Formula 1 advisor that can:

  • Understand F1 terminology and pit-stop strategy

  • Analyse telemetry data

  • Load and parse structured files

  • Interpret images using multimodal AI

  • Search for relevant information online

  • Query telemetry stored in a SQLite database

  • Generate an interactive race-analysis dashboard

  • Use Skills, commands, plugins and connected tools

2. Smart Bank Statement Processing Coworker

Create an AI coworker that can:

  • Process sample bank statements

  • Categorise transactions

  • Identify income and expenditure

  • Generate structured financial outputs

  • Create an interactive financial dashboard

  • Process additional statements using the same reusable Skill

3. RFI-to-RFP and Company Slide Deck Coworker

Build a coworker that can:

  • Understand a customer’s Request for Information

  • Analyse company capabilities

  • Match requirements with suitable services

  • Generate a structured RFP response

  • Populate a company presentation template

  • Produce consistent and reusable sales content

4. Expense Report Processor Coworker

Create an AI coworker that can:

  • Review employee expense reports

  • Apply company expense policies

  • Identify valid, invalid or unusual claims

  • Produce a structured approval report

  • Highlight exceptions requiring human review

5. Smart Customer Replies Coworker

Build a scheduled AI workflow that can:

  • Review incoming customer messages

  • Understand customer requests

  • Use available information to prepare appropriate replies

  • Run automatically using scheduled tasks

  • Test the complete customer communication workflow

Course Curriculum

Section 1: Introduction to Anthropic and Its Products

Learn about Anthropic, Claude and the growing Claude product ecosystem.

Topics include:

  • Introduction to Anthropic

  • Meet Claude

  • Overview of Claude products

  • Claude product design principles

  • Claude Chat vs Claude Code vs Claude Cowork

  • The new era of AI-powered productivity

Section 2: Introduction to Claude Cowork

Understand what Claude Cowork is and how it completes multi-step work.

Topics include:

  • Claude Cowork introduction

  • What Claude Cowork can do

  • The Claude agent loop

  • Claude Cowork architecture

  • Accessing Claude Cowork

  • Installing Claude Desktop

  • Opening and using the desktop application

Section 3: Interface and Settings

Explore the Claude Cowork interface and configure your first workspace.

Topics include:

  • Main Claude Cowork features

  • Interface navigation

  • Application settings

  • Workspace folders

  • Running a sample task

Section 4: Understanding the F1 Advisor

Learn the business problem and project that will be used to demonstrate Claude Cowork’s main capabilities.

Topics include:

  • Introduction to Formula 1

  • Understanding pit stops

  • The role of an F1 advisor

  • Overview of the F1 Advisor project

Section 5: Key Components and Hands-On Labs

Explore the core building blocks used to create powerful AI coworkers.

Topics include:

  • Claude Projects

  • Project instructions

  • The CLAUDEmd file

  • Telemetry data

  • Loading and parsing data

  • Multimodal AI

  • Claude Skills

  • Creating Skills using Markdown files

  • Creating Skills using project instructions

  • Web search

  • Slash commands

  • Plugins

  • Artifacts

  • Live dashboards

  • Connectors

  • Model Context Protocol

  • SQLite MCP integration

  • Database queries

  • Scheduled tasks

  • Dispatch Mode

Section 6: Building Real-World AI Coworkers

Bring the concepts together and begin creating practical AI-powered business workflows.

Section 7: Smart Bank Statement Processing Coworker

Build an end-to-end financial document processing workflow.

Topics include:

  • Project setup

  • Workspace configuration

  • Sample bank statements

  • Connector setup

  • Creating the bank statement Skill

  • Running the Skill

  • Reviewing generated outputs

  • Creating an Artifact dashboard

  • Processing additional bank statements

Section 8: RFI-to-RFP and Company Slide Deck Coworker

Create an AI coworker for sales and proposal development.

Topics include:

  • Understanding RFIs and RFPs

  • Reviewing customer requirements

  • Understanding company capabilities

  • Using presentation templates

  • Creating a project and workspace

  • Creating the reusable Skill

  • Running the complete workflow

Section 9: Expense Report Processor Coworker

Automate expense report review and policy checking.

Topics include:

  • Expense processing workflow

  • Preparing sample reports and company policies

  • Creating the expense-processing Skill

  • Running the Skill

  • Reviewing approvals and exceptions

  • Understanding the generated output

Section 10: Smart Customer Replies Coworker

Create a scheduled workflow for intelligent customer communication.

Topics include:

  • Customer reply workflow

  • Preparing the required files and information

  • Creating a scheduled task

  • Sending sample customer messages

  • Testing the automated workflow

  • Reviewing the generated replies

Intended Learners

This course is suitable for:

  • AI enthusiasts who want to move beyond basic prompting

  • Business professionals interested in AI automation

  • Developers exploring Claude Cowork and Claude Skills

  • Solution architects designing AI-powered workflows

  • Consultants building AI solutions for clients

  • Finance, sales and operations professionals

  • Product managers working with AI-powered products

  • Entrepreneurs looking to automate business processes

  • Students and beginners interested in practical agentic AI

  • Claude users who want to create reusable AI coworkers

No advanced AI or machine learning experience is required.

Requirements

To follow the course, learners should have:

  • Basic computer skills

  • Access to a supported Claude plan and Claude Cowork features

  • A computer capable of running the Claude Desktop application

  • Basic familiarity with files, folders and web applications

  • An interest in AI automation and practical business use cases

Some demonstrations use Markdown files, SQLite and MCP connectors. Previous programming or database experience is helpful but not required, as each concept is explained step by step.

Who This Course Is Not For

This course may not be suitable for learners looking only for:

  • Advanced machine learning model training

  • Mathematical explanations of large language models

  • Traditional software development without AI tools

  • A purely theoretical overview of generative AI

The course focuses on practical implementation and hands-on AI coworker development.

Course Approach

The course follows a project-based learning approach.

Each major concept is introduced through a simple explanation and then demonstrated in Claude Cowork. You will see how the individual features work before combining them into complete real-world workflows.

The course progresses through three stages:

  1. Understand Claude Cowork
    Learn the interface, agent loop, projects and workspace structure.

  2. Master the Core Components
    Work with Skills, commands, plugins, connectors, Artifacts, scheduled tasks and Dispatch Mode.

  3. Build Real-World AI Coworkers
    Apply everything you have learned to finance, sales, expense management and customer service workflows.

Course Outcome

By the end of this course, you will have the knowledge and practical experience needed to create AI coworkers that can:

  • Follow reusable business instructions

  • Work with documents and structured data

  • Access connected tools and databases

  • Generate reports, dashboards and presentations

  • Apply company rules and policies

  • Perform multi-step business processes

  • Run tasks manually or on a schedule

  • Support real-world teams and business operations

You will not simply learn how to chat with Claude. You will learn how to turn Claude into a practical AI coworker.

Taught by

Kshitij Joy (Cloud Alchemy)

Reviews

4.7 rating at Udemy based on 20 ratings

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