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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تولید کننده: Udemy