Claude Cowork: Agentic AI for Professionals
By Ranbeer Makin
About this Course
Learn how to use Claude Cowork to build and operate AI-powered workflows that can execute multi-step work on your behalf—moving beyond chatbots and prompts toward practical agentic systems.
This course introduces the fundamentals of AI agents and agentic workflows, then shows you how to use Cowork to work with local files, tools, permissions, skills, plugins, and browser-based tasks. You'll learn how to design an AI employee that can plan, execute, check its work, and improve its output with the right level of human oversight.
Through hands-on demos and a live build, you'll learn how to turn real professional workflows into repeatable, delegated AI workflows—while understanding when to use autonomy, where to add guardrails, and when not to delegate a task to AI.
About the Instructor
Ranbeer Makin is passionate about helping working professionals confidently adopt AI. He has already trained 300+ learners through hands-on workshops and practical courses. As a software entrepreneur with 19+ years of experience, he now focuses on helping professionals move from AI Curious to AI Capable by teaching practical workflows, automation, and real-world AI applications.
What You'll Learn
- Understand the evolution from LLMs → AI agents → agentic AI systems
- Understand different degrees of autonomy and when each is appropriate
- Explore real-world agentic systems across support, coding, research, and business workflows
- Get started with Claude Cowork, including plans, folders, permissions, and setup
- Use Cowork to work with local files and folders and complete multi-step tasks
- Improve results using global instructions, projects, skills, and plugins
- Use Claude in Chrome when a dedicated connector isn't available
- Apply the agentic workflow model to define, design, run, and review AI-powered work
- Design an AI employee by thinking through steps, tools, permissions, skills, and quality assurance
- Build reusable skills for professional workflows
- Delegate complex work to Cowork using QA sub-agents and review loops
- Apply best practices for responsible agentic AI, including when not to use Cowork
- Understand Scheduling and Dispatch for recurring and proactive workflows
Who Is This Course For?
This course is for professionals, business leaders, operators, developers, and AI practitioners who want to move beyond prompting and learn how to design, delegate, and operate AI-powered workflows with Claude Cowork.
Course Outcome
You'll be able to identify tasks that are suitable for agentic automation, design the workflow and guardrails around them, and use Claude Cowork to execute, review, and improve multi-step work with the right level of human oversight.
Course Content
- 1Beyond chatbots: LLM → AI agent → Agentic AI
- 2Degrees of autonomy (less, semi, highly autonomous)
- 3Agentic systems in the real world (support, coding, research agents)
- 1Claude Cowork basics: setup, plans, folders, permissions
- 2Demo: Cowork on a local folder (resume-to-CSV)
- 3Getting better results: global instructions, projects, skills, plugins
- 4Claude in Chrome (when there is no connector; login caveat)
- 1The agentic workflow model: 3 pillars (define, design, run and review)
- 2Designing an AI employee: the thinking process (steps, tools, permissions, skills, QA)
- 3Building the AI employee, part 1: brainstorm in chat and create skills
- 4Building the AI employee, part 2: delegate to Cowork with a QA sub-agent
- 1Best practices and when not to use Cowork
- 2Scheduling and Dispatch