Mastering Claude Cowork & Ai Agents [2026]
Published 3/2026
Created by Prof. Ryan Ahmed, Ph.D., MB A | 500,000+ Students | Best-Selling Instructor
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 36 Lectures ( 4h 44m ) | Size: 4.8 GB
What you'll learn
✓ Master Claude Cowork for automating repetitive work like reporting, data cleaning, & documentation
✓ Orchestrate multiple AI agents to collaborate & handle complex, multi-step processes with minimal human intervention
✓ Master the concept of "Agent Skills" and "Plugins" to give Claude agents new capabilities.
✓ Create your own plugin, slash commands and automated workflows
✓ Leverage Claude Plugins such as Data analysis and Marketing Plugins
✓ Apply AI to real-world finance and business use cases like analysis, forecasting, and operational decision-making
✓ Connect Claude Cowork to external tools like Gmail using Model Context Protocol.
✓ Design and manage a team of autonomous AI agents to handle end-to-end projects, from initial research phases to final automated email distribution.
✓ Understand the intuition behind Model Context Protocol (MCP)
✓ Using Claude Cowork to organize folders and make changes to existing files on your computer
✓ Perform Advanced Data Analysis and Visualization with Claude Cowork and Data Plugins
✓ Use Claude effectively with advanced prompting techniques to generate accurate, structured, and high-quality outputs consistently
Requirements
● No coding experience is required.
Description
In this course, you'll learn how to move beyond AI-assisted work and simple prompts to build agentic systems that execute tasks, automate workflows, and deliver real business outcomes.
You'll go from understanding how AI works to designing and deploying AI agents that connect to tools, process data, and operate across real-world systems.
We'll start with the foundations of Claude Cowork and the shift toward autonomous agents. Then, you'll learn how to connect AI to external tools using MCP, manage context and tokens efficiently, and design powerful agent capabilities.
A core focus of this course is building and extending agents using skills and plugins.
You'll learn how to
• Structure and write SKILL Markdown files to define agent behaviour
• Install and manage skills from the marketplace
• Extend your agent with custom capabilities
• Use and customize Claude plugins for real-world workflows
From there, you'll build production-ready systems using the Data Plugin, where you'll perform
• Data cleaning and validation
• Data visualization and dashboard creation
• statistical analysis
• Automated reporting and PowerPoint generation
You'll also create your own custom plugins and automated workflows, including financial forecasting systems and end-to-end automation pipelines.
By the end of the course, you won't just be using AI-you'll be building fully functional AI agents that can analyze, execute, and deliver results independently.
You'll also master practical applications of Claude for
• Content creation
• Coding and problem-solving
• Deep research and document analysis
• Financial data extraction from PDFs
• Dashboard and report generation
This is a hands-on course built around real demos, real workflows, and real use cases-so you can immediately apply what you learn to your job or business.
Who this course is for
■ Operators, consultants, and managers who want to scale their output without scaling headcount
■ Founders & entrepreneurs aiming to build systems and AI agents that run parts of their business
■ Business & finance professionals looking to automate reporting, analysis, and repetitive workflows
■ Students or early-career professionals who want a competitive edge with practical AI skills
■ Anyone curious about AI agents and how tools like Claude can actually be used in real work (not just theory)
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