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Unclaimed ProfileThis comprehensive masterclass, designed by Paul Ashun, serves as the ultimate blueprint for professionals looking to harness the full potential of Anthropic's Claude AI without needing a single line of code. As organizations increasingly adopt generative AI to streamline operations, mastering Claude's unique capabilities—such as its massive context window, exceptional reasoning skills, and sophisticated project features—becomes a highly sought-after competitive advantage. Throughout this hands-on course, students will discover how to transform Claude into an indispensable digital colleague. The curriculum guides learners through the mechanics of crafting precise prompts, establishing custom instructions, and managing complex project workspaces to ensure consistent, brand-aligned outputs. Professionals will learn how to automate repetitive writing tasks, parse messy spreadsheets into clean visual charts, analyze vast datasets, and safely critique AI-generated content to protect their professional reputation. By exploring practical integrations with everyday business tools like Slack, Google Drive, and Gmail, this course bridges the gap between basic prompting and advanced workflow automation. It is ideal for writers, marketers, project managers, and business analysts who want to elevate their daily productivity, reduce operational friction, and master no-code AI workflows.
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Paul Ashun is an experienced educator and professional dedicated to helping individuals and organizations unlock the power of modern technology and productivity frameworks. With a diverse course portfolio spanning artificial intelligence, automated workflows, and time management, Paul focuses on delivering practical, actionable skills that students can apply immediately in their careers. His teaching philosophy centers on breaking down complex technological concepts—such as generative AI, prompt engineering, agentic AI, and n8n automation—into accessible, step-by-step modules. By bridging the gap between cutting-edge technology and real-world execution, Paul empowers professionals to automate repetitive tasks, optimize their workflows, and reclaim their valuable time. Whether…Show more
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Program Overview
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Price
Price may change · updated within 1–2 weeks
Course language
Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- Use Claude AI's most powerful features confidently — prompt structure, memory, projects and skills — no coding required
- Write faster and more consistently using Claude as a writing partner that already knows your voice and standards
- Turn raw files, messy data and rough notes into polished, publish-ready outputs using Claude's file upload features
- Analyse data and spot patterns without being a data analyst — and generate charts you can use immediately
- Verify and critique Claude's own outputs before publishing so you never put your reputation at risk
- Build reusable workflows using Projects, Skills and Custom Instructions so Claude gets more consistent over time
- Connect Claude to Google Drive, Gmail, Slack and more — and use it directly inside your Chrome browser
- Combine Claude's features into real end-to-end workflows that save time, reduce repetition and produce better results
Best For
- Business professionals seeking to integrate generative AI into daily administrative and analytical tasks without learning programming.
- Content creators, marketers, and writers who need to scale output while maintaining a consistent brand voice.
- Project managers and team leads looking to automate document synthesis and data visualization using no-code tools.
- Non-technical workers aiming to leverage Claude's extended context window for document review and project organization.
Not For
- Software developers or data scientists looking for API integration training or Python-based AI development workflows.
- Complete beginners who are looking for a basic introduction to general chatbot usage rather than professional-grade productivity workflows.
- Individuals seeking academic-level research on the underlying machine learning architectures or safety alignment of Anthropic models.
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