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Learn Claude Advanced

Build advanced Claude skills through hands-on training in AI agents, reusable workflows, connected tools, and vibe coding.

  • Understand how AI agents work and how to supervise them

  • Build reusable workflows with Claude Projects and Skills

  • Create documents, spreadsheets, presentations, and interactive tools

  • Connect Claude to everyday tools and delegate multi-step work

  • Build and publish a working app using vibe coding

Target Audience

  • Professionals who already use Claude and want to move beyond basic prompting

  • Team leads looking to use AI for workflows and multi-step tasks

  • Entrepreneurs interested in building AI-powered tools

  • Professionals exploring AI agents, automation, and connected workflows

  • Learners interested in building apps with AI without prior coding experience

Learn Claude Advanced Overview

Learn Claude Advanced is a hands-on program designed for learners who want to move beyond basic AI conversations and use Claude to perform more complex, multi-step work.

The course explores AI agents, reusable Projects and Skills, research and connected tools, workflow delegation, AI-assisted coding, and vibe coding. Learners progress from understanding how agents work to building and testing their own agent workflow or working application.

  • Understand how AI agents plan, act, and use tools

  • Create reusable Projects and Skills for recurring work

  • Build documents, spreadsheets, presentations, and interactive tools

  • Conduct deep research and evaluate sources

  • Delegate and supervise multi-step AI tasks

  • Understand how AI is changing software development

  • Build and publish a small application using vibe coding

Delivered using OCA’s Skill Sprint™ Method with hands-on practice, real-world exercises, and instructor-led feedback.

Prerequisites

The following basic requirements are recommended to maximize learning outcomes:

  • Completion of Learn Claude Basics or regular experience using Claude

  • A Claude account; some course activities may require a paid plan

  • Claude desktop application for selected activities

  • Comfort working with common computer applications and web-based tools

  • No prior coding experience required

  • Willingness to complete hands-on exercises and practical activities

Outcomes

By the end of this course, you will be able to:

  • Explain how AI agents work and identify where they can go wrong

  • Configure Claude Projects and Skills for reusable work

  • Create documents, spreadsheets, presentations, and interactive tools

  • Conduct deep research and evaluate information against its sources

  • Connect Claude to everyday tools while understanding permissions and limitations

  • Delegate multi-step work and appropriately supervise AI agents

  • Explain how AI has changed modern software development

  • Build and publish a small application using vibe coding

  • Design and document an agent workflow or application for a real-world need

Workplace Applications & Career Skills

The skills developed in this course can support advanced AI-assisted work across a range of business and technical environments, including::

  • Workflow automation

  • Operations and productivity

  • Project and product roles

  • Internal tools and prototypes

  • Small business growth

  • AI-assisted application development

  • Technical and AI-enabled roles

Curriculum

Learn through focused Skill Sprints built around practical application and real-world tasks.

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$850   
  • Instructor-Led: Live Online

  • 32 Total Hours

  • Beginner Level

  • Real-World Project

  • Career-Focused

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Group/Corporate Training
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Why This Course Is in Demand

AI tools are evolving beyond simple question-and-answer interactions. Modern AI systems can perform multi-step tasks, work with connected tools, create files and applications, and support increasingly complex business workflows.

Learn Claude Advanced helps learners develop the skills needed to work with these capabilities responsibly. Rather than simply asking AI for answers, participants learn how to structure workflows, supervise AI agents, evaluate their actions, build useful tools, and understand when human judgment is required.

Blogs:

AI/Machine Learning