Certified Prompt Engineer For Product Management (Cpe-Pm)

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

What you'll learn

Understand the role of AI in modern product management.

Learn the fundamentals of prompt engineering for AI.

Explore the capabilities and limitations of language models.

Master effective techniques for designing AI prompts.

Balance creativity and constraints in prompt writing.

Use AI for market research and competitive analysis.

Conduct AI-generated customer pain point identification.

Leverage AI for ideation and product innovation.

Translate customer feedback into AI-driven features.

Create AI-generated product roadmaps and address risks.

Craft persuasive marketing copy using AI tools.

Utilize AI in customer segmentation and targeting.

Automate data analysis and KPI reporting with AI.

Explore ethical and legal issues in AI product workflows.

Integrate AI into agile and lean product development.

Requirements

An interest in AI and product management – A curiosity about how artificial intelligence is shaping product development and strategy.

A creative and strategic mindset – The ability to generate and refine ideas while considering business objectives.

An analytical approach – The capability to assess AI-generated insights and market trends with precision.

A commitment to ethical responsibility – An awareness of AI bias, fairness, and data privacy in product decisions.

A willingness to learn – An openness to exploring new AI-driven techniques and adapting to evolving product management practices.

Description

The convergence of artificial intelligence and product management is reshaping how products are envisioned, designed, and brought to market. This course offers a comprehensive exploration into the domain of prompt engineering, a crucial skill for harnessing AI's potential in product management. Students will embark on a journey to understand the fundamentals and significance of prompt engineering, which serves as a foundation for leveraging AI's capabilities effectively. The course begins by introducing the pivotal role of AI in modern product management, providing insights into large language models, their capabilities, and inherent limitations. This understanding is essential for navigating the complexities of AI-driven product workflows.As students delve deeper, they will gain an appreciation for the nuanced art and science of prompt design. They will explore the principles that govern the effectiveness of prompts, focusing on achieving clarity and precision. The course emphasizes the delicate balance between creativity and constraints, a critical skill for crafting prompts that guide AI systems to generate valuable insights. The curriculum also introduces system messages and control instructions, which are vital for steering AI outputs in alignment with product objectives. Through theoretical exploration, students will learn to refine and iterate prompts to maximize their impact.Product management thrives on market insights and strategic analysis. This course equips students with the knowledge to conduct market research and competitive analysis using AI-generated prompts. Participants will learn how AI can be leveraged to gather industry insights, benchmark competitors, and identify customer pain points. The ability to synthesize and analyze market trends with AI assistance is highlighted, alongside methodologies to ensure accuracy and avoid bias in AI-generated research.Innovation is the lifeblood of successful product management, and this course delves into AI-driven ideation and product innovation. Students will explore how AI can augment brainstorming sessions and assist in evaluating and prioritizing product ideas. The course examines the dynamics of divergent and convergent thinking, encouraging students to expand their creative horizons while overcoming common challenges in AI-generated innovation. This theoretical framework prepares students for the future of product ideation.In the realm of requirements gathering and road-mapping, AI offers transformative possibilities. Students will learn how to translate customer feedback into actionable features and automate the development of user stories. The course provides insights into creating AI-generated product roadmaps while addressing risks and dependencies using AI-driven insights. Additionally, the collaborative intersection of AI and user experience design is explored, with a focus on persona development, journey mapping, and other UX enhancements.The course also covers AI-augmented product marketing strategies, guiding students through the intricacies of crafting persuasive copy and messaging with AI assistance. They will explore AI's role in customer segmentation, content strategy, and campaign ideation. Furthermore, the curriculum addresses the use of AI for social media and SEO optimization, as well as automating A/B testing and performance analysis.Finally, students will engage with ethical and legal considerations in AI adoption, examining issues of bias, fairness, and data privacy. The future of AI ethics and governance in product management is contemplated, empowering students to anticipate and navigate the evolving landscape. This course provides a robust theoretical foundation for those seeking to integrate AI into their product management practice, positioning them at the forefront of innovation and strategic decision-making.

Overview

Section 1: Course Preparation

Lecture 1 Course Preparation

Section 2: Introduction to Prompt Engineering and AI in Product Management

Lecture 2 Section Introduction

Lecture 3 What is Prompt Engineering? Fundamentals and Importance

Lecture 4 Understanding Large Language Models: Capabilities and Limitations

Lecture 5 The Role of AI in Modern Product Management

Lecture 6 Key Terminology and Concepts in AI-Powered Product Workflows

Lecture 7 Setting Up and Experimenting with ChatGPT for Product Tasks

Lecture 8 Section Summary

Section 3: Foundations of Effective Prompt Design

Lecture 9 Section Introduction

Lecture 10 The Science Behind Prompt Effectiveness

Lecture 11 Structuring Prompts for Clarity and Precision

Lecture 12 Techniques for Refining and Iterating Prompts

Lecture 13 Balancing Creativity and Constraints in Prompt Writing

Lecture 14 Using System Messages and Instructions for Control

Lecture 15 Section Summary

Section 4: Market Research and Competitive Analysis

Lecture 16 Section Introduction

Lecture 17 Gathering Industry Insights Using AI-Generated Prompts

Lecture 18 Leveraging AI for Competitor Benchmarking

Lecture 19 Identifying Customer Pain Points Through AI Conversations

Lecture 20 Synthesizing and Analyzing Market Trends with AI

Lecture 21 Avoiding Bias and Ensuring Accuracy in AI-Generated Research

Lecture 22 Section Summary

Section 5: AI-Driven Ideation and Product Innovation

Lecture 23 Section Introduction

Lecture 24 Generating and Evaluating Product Ideas with AI

Lecture 25 Enhancing Brainstorming Sessions Using AI-Powered Prompts

Lecture 26 Prioritizing Ideas: AI-Assisted Scoring and Filtering

Lecture 27 Expanding Creativity: Divergent vs. Convergent Thinking with AI

Lecture 28 Overcoming Common Challenges in AI-Generated Innovation

Lecture 29 Section Summary

Section 6: Requirements Gathering and AI-Assisted Road-mapping

Lecture 30 Section Introduction

Lecture 31 Extracting and Structuring Product Requirements with AI

Lecture 32 Translating Customer Feedback into Actionable Features

Lecture 33 Automating User Story and Feature Development with AI

Lecture 34 Creating AI-Generated Product Roadmaps

Lecture 35 Addressing Risks and Dependencies Using AI-Driven Insights

Lecture 36 Section Summary

Section 7: User Experience (UX) Design and AI Collaboration

Lecture 37 Section Introduction

Lecture 38 AI in Persona Development and User Journey Mapping

Lecture 39 Enhancing Wireframing and Prototyping with AI Assistance

Lecture 40 Optimizing UX Research and Testing via AI-Generated Prompts

Lecture 41 Personalization and Adaptive UI Design with AI

Lecture 42 Ethical Considerations in AI-Driven UX Design

Lecture 43 Section Summary

Section 8: AI-Augmented Product Marketing Strategies

Lecture 44 Section Introduction

Lecture 45 Crafting Persuasive Copy and Messaging with AI

Lecture 46 AI in Customer Segmentation and Targeting

Lecture 47 Enhancing Content Strategy and Campaign Ideation with AI

Lecture 48 Leveraging AI for Social Media and SEO Optimization

Lecture 49 Automating A/B Testing and Performance Analysis with AI

Lecture 50 Section Summary

Section 9: AI in Data Analytics and Decision Making

Lecture 51 Section Introduction

Lecture 52 Using AI to Extract Actionable Insights from Product Data

Lecture 53 Automating Performance Reports and KPI Analysis with AI

Lecture 54 Forecasting Trends and User Behavior with AI Models

Lecture 55 AI in Decision-Making: Augmentation vs. Automation

Lecture 56 Understanding AI-Generated Data Bias and Mitigation Strategies

Lecture 57 Section Summary

Section 10: Ethical and Legal Considerations in AI Adoption

Lecture 58 Section Introduction

Lecture 59 AI Bias, Fairness, and Responsible Prompt Engineering

Lecture 60 Data Privacy and Compliance in AI-Driven Product Workflows

Lecture 61 Intellectual Property Considerations in AI-Generated Content

Lecture 62 Managing AI Transparency and User Trust in Product Decisions

Lecture 63 The Future of AI Ethics and Governance in Product Management

Lecture 64 Section Summary

Section 11: Advanced Prompt Engineering and Future Trends

Lecture 65 Section Introduction

Lecture 66 Multi-Turn Prompting for Complex Product Workflows

Lecture 67 Using Chain-of-Thought and Few-Shot Prompting Techniques

Lecture 68 Integrating AI into Agile and Lean Product Development

Lecture 69 The Evolving Role of AI in Product Management & Innovation

Lecture 70 Beyond ChatGPT: Emerging AI Technologies and Their Impact

Lecture 71 Section Summary

Section 12: Course Summary

Lecture 72 Conclusion

Product managers eager to integrate AI into their workflow and enhance product innovation,Aspiring product managers seeking foundational skills in AI and prompt engineering,Professionals in tech looking to understand AI's role in modern product management,Entrepreneurs aiming to leverage AI for competitive market analysis and insights,Marketing strategists wanting to explore AI-driven content and campaign ideation,Business analysts focusing on AI's potential in data analytics and strategic decision making,Ethical and legal practitioners exploring AI governance in product management contexts