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خانه » فروشگاه » Certified Prompt Engineer for Product Management (CPE-PM)

Certified Prompt Engineer for Product Management (CPE-PM)

سرفصل های دوره

Unlock AI's Potential in Product Management: A Foundation in Prompt Engineering


1 - Course Preparation
  • 1 - Course Preparation.html

    • 2 - Introduction to Prompt Engineering and AI in Product Management
  • 2 - Section Introduction
  • 3 - 02-01-lessonarticle.pdf
  • 3 - What is Prompt Engineering Fundamentals and Importance
  • 4 - 02-02-lessonarticle.pdf
  • 4 - Understanding Large Language Models Capabilities and Limitations
  • 5 - 02-03-lessonarticle.pdf
  • 5 - The Role of AI in Modern Product Management
  • 6 - 02-04-lessonarticle.pdf
  • 6 - Key Terminology and Concepts in AIPowered Product Workflows
  • 7 - 02-05-lessonarticle.pdf
  • 7 - Setting Up and Experimenting with ChatGPT for Product Tasks
  • 8 - Section Summary

    • 3 - Foundations of Effective Prompt Design
  • 9 - Section Introduction
  • 10 - 03-01-lessonarticle.pdf
  • 10 - The Science Behind Prompt Effectiveness
  • 11 - 03-02-lessonarticle.pdf
  • 11 - Structuring Prompts for Clarity and Precision
  • 12 - 03-03-lessonarticle.pdf
  • 12 - Techniques for Refining and Iterating Prompts
  • 13 - 03-04-lessonarticle.pdf
  • 13 - Balancing Creativity and Constraints in Prompt Writing
  • 14 - 03-05-lessonarticle.pdf
  • 14 - Using System Messages and Instructions for Control
  • 15 - Section Summary

    • 4 - Market Research and Competitive Analysis
  • 16 - Section Introduction
  • 17 - 04-01-lessonarticle.pdf
  • 17 - Gathering Industry Insights Using AIGenerated Prompts
  • 18 - 04-02-lessonarticle.pdf
  • 18 - Leveraging AI for Competitor Benchmarking
  • 19 - 04-03-lessonarticle.pdf
  • 19 - Identifying Customer Pain Points Through AI Conversations
  • 20 - 04-04-lessonarticle.pdf
  • 20 - Synthesizing and Analyzing Market Trends with AI
  • 21 - 04-05-lessonarticle.pdf
  • 21 - Avoiding Bias and Ensuring Accuracy in AIGenerated Research
  • 22 - Section Summary

    • 5 - AIDriven Ideation and Product Innovation
  • 23 - Section Introduction
  • 24 - 05-01-lessonarticle.pdf
  • 24 - Generating and Evaluating Product Ideas with AI
  • 25 - 05-02-lessonarticle.pdf
  • 25 - Enhancing Brainstorming Sessions Using AIPowered Prompts
  • 26 - 05-03-lessonarticle.pdf
  • 26 - Prioritizing Ideas AIAssisted Scoring and Filtering
  • 27 - 05-04-lessonarticle.pdf
  • 27 - Expanding Creativity Divergent vs Convergent Thinking with AI
  • 28 - 05-05-lessonarticle.pdf
  • 28 - Overcoming Common Challenges in AIGenerated Innovation
  • 29 - Section Summary

    • 6 - Requirements Gathering and AIAssisted Roadmapping
  • 30 - Section Introduction
  • 31 - 06-01-lessonarticle.pdf
  • 31 - Extracting and Structuring Product Requirements with AI
  • 32 - 06-02-lessonarticle.pdf
  • 32 - Translating Customer Feedback into Actionable Features
  • 33 - 06-03-lessonarticle.pdf
  • 33 - Automating User Story and Feature Development with AI
  • 34 - 06-04-lessonarticle.pdf
  • 34 - Creating AIGenerated Product Roadmaps
  • 35 - 06-05-lessonarticle.pdf
  • 35 - Addressing Risks and Dependencies Using AIDriven Insights
  • 36 - Section Summary

    • 7 - User Experience UX Design and AI Collaboration
  • 37 - Section Introduction
  • 38 - 07-01-lessonarticle.pdf
  • 38 - AI in Persona Development and User Journey Mapping
  • 39 - 07-02-lessonarticle.pdf
  • 39 - Enhancing Wireframing and Prototyping with AI Assistance
  • 40 - 07-03-lessonarticle.pdf
  • 40 - Optimizing UX Research and Testing via AIGenerated Prompts
  • 41 - 07-04-lessonarticle.pdf
  • 41 - Personalization and Adaptive UI Design with AI
  • 42 - 07-05-lessonarticle.pdf
  • 42 - Ethical Considerations in AIDriven UX Design
  • 43 - Section Summary

    • 8 - AIAugmented Product Marketing Strategies
  • 44 - Section Introduction
  • 45 - 08-01-lessonarticle.pdf
  • 45 - Crafting Persuasive Copy and Messaging with AI
  • 46 - 08-02-lessonarticle.pdf
  • 46 - AI in Customer Segmentation and Targeting
  • 47 - 08-03-lessonarticle.pdf
  • 47 - Enhancing Content Strategy and Campaign Ideation with AI
  • 48 - 08-04-lessonarticle.pdf
  • 48 - Leveraging AI for Social Media and SEO Optimization
  • 49 - 08-05-lessonarticle.pdf
  • 49 - Automating AB Testing and Performance Analysis with AI
  • 50 - Section Summary

    • 9 - AI in Data Analytics and Decision Making
  • 51 - Section Introduction
  • 52 - 09-01-lessonarticle.pdf
  • 52 - Using AI to Extract Actionable Insights from Product Data
  • 53 - 09-02-lessonarticle.pdf
  • 53 - Automating Performance Reports and KPI Analysis with AI
  • 54 - 09-03-lessonarticle.pdf
  • 54 - Forecasting Trends and User Behavior with AI Models
  • 55 - 09-04-lessonarticle.pdf
  • 55 - AI in DecisionMaking Augmentation vs Automation
  • 56 - 09-05-lessonarticle.pdf
  • 56 - Understanding AIGenerated Data Bias and Mitigation Strategies
  • 57 - Section Summary

    • 10 - Ethical and Legal Considerations in AI Adoption
  • 58 - Section Introduction
  • 59 - 10-01-lessonarticle.pdf
  • 59 - AI Bias Fairness and Responsible Prompt Engineering
  • 60 - 10-02-lessonarticle.pdf
  • 60 - Data Privacy and Compliance in AIDriven Product Workflows
  • 61 - 10-03-lessonarticle.pdf
  • 61 - Intellectual Property Considerations in AIGenerated Content
  • 62 - 10-04-lessonarticle.pdf
  • 62 - Managing AI Transparency and User Trust in Product Decisions
  • 63 - 10-05-lessonarticle.pdf
  • 63 - The Future of AI Ethics and Governance in Product Management
  • 64 - Section Summary
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    شناسه: 45419
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    تاریخ انتشار: ۲۵ مرداد ۱۴۰۴
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