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Prompt Engineering for Product & UX Teams

Udemy Instructor

0(139 students)

Self-paced

All Levels

About this course

“This course contains the use of artificial intelligence. ”The integration of generative AI within product management and user experience (UX) design has shifted from experimental use to a fundamental requirement for high-velocity teams. In the 2024–2025 product landscape, the ability to leverage large language models (LLMs) through structured prompting is essential for maintaining competitive advantage and reducing time-to-market.

This course provides a comprehensive framework for non-technical product professionals to utilize AI as a strategic partner throughout the development lifecycle. The curriculum is designed to move beyond simple chat interactions, focusing instead on enterprise-grade prompting methodologies. Participants will explore how to construct robust prompt architectures that address the specific needs of product discovery, UX planning, and documentation.

By establishing a "no-code accelerator" mindset, learners will gain the skills necessary to handle complex tasks—such as market research synthesis and user story generation—with unprecedented speed and accuracy. Key areas of focus include the creation of synthetic user personas and the execution of edge-case testing. These modules demonstrate how to pressure-test design assumptions and identify potential failure points before moving to high-fidelity prototyping.

Furthermore, the course addresses the critical translation of product requirements documents (PRDs) into actionable Agile artifacts, ensuring that strategic goals are preserved through the development handoff. For UX teams, the training offers specialized techniques for brand-aligned microcopy generation. Learners will master the application of strict vocabulary and spatial constraints, ensuring that AI-generated text adheres to corporate identity and interface limitations.

The final modules focus on operationalizing these skills through centralized prompt libraries and governance frameworks, enabling teams to scale AI adoption while protecting data integrity. This course is structured to provide immediate organizational value. Each section combines theoretical foundations with applied scenarios, such as healthcare portals and e-commerce checkout flows.

By the conclusion of the program, product and design professionals will have a standardized toolkit for automating administrative overhead, allowing them to focus on high-level strategic architecture and user-centric innovation. The content is updated to reflect the latest advancements in LLM capabilities and industry best practices for enterprise AI integration.

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Level: All Levels

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Duration: Self-paced

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Are you looking to build strong customer support communication skills or start a career in customer service, virtual assistance, or remote work? This course is designed to help you confidently handle customer interactions using clear, professional, and ready-to-use response templates.In this course, you will learn how to write effective customer support responses for email, live chat, and social media platforms. Whether you are responding to complaints, refund requests, product inquiries, or general questions, you will be equipped with practical scripts that help you communicate professionally and efficiently.This course is perfect for beginners with no prior experience, as well as virtual assistants, freelancers, small business owners, and anyone seeking remote job opportunities in customer support roles. You will also learn how to maintain a positive tone, manage difficult customers, and improve customer satisfaction through effective communication.Instead of guessing what to say, you will gain access to structured response templates and real-life examples that you can immediately apply in real-world situations. This will help you save time, reduce stress, and improve your confidence when dealing with customers.By the end of this course, you will have a solid foundation in customer service communication, customer support writing, email etiquette, and professional response handling, giving you an advantage in the remote job market and client-facing roles.

AI for Business Leaders

Udemy Instructor

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Udemy Instructor

This course contains the use of artificial intelligence.AI Governance and Security is a practical course designed to help professionals understand how to manage the risks, security concerns, privacy obligations, and oversight requirements associated with artificial intelligence. As organizations adopt generative AI, large language models, AI assistants, and autonomous agents, strong governance is essential for protecting data, maintaining compliance, and ensuring responsible use.The course begins with the foundations of AI governance. You will explore common AI risk categories, including security, privacy, operational, ethical, legal, financial, and reputational risks. You will learn how policies, controls, accountability structures, and oversight committees help organizations manage AI consistently. You will also examine how responsibilities can be shared across business, technology, security, legal, compliance, and risk teams.The security section focuses on important AI security risks. You will learn how sensitive information may be exposed through prompts, model responses, connected tools, logs, training data, and external integrations. The course explains prompt injection, indirect prompt injection, model abuse, unauthorized tool use, and other threats that can affect generative AI applications and AI agents. You will also learn why permissions, isolation, validation, and human approval are important when AI systems can take actions.The course then addresses AI compliance and privacy. You will explore regulatory considerations, responsible data handling, consent, access, retention, documentation, and audit readiness. You will learn how organizations can identify sensitive information, limit unnecessary data exposure, and maintain evidence showing how AI systems are designed, reviewed, approved, and monitored.In the enterprise-controls section, you will examine role-based access control, permissions, logging, monitoring, approvals, exception handling, and incident response. These controls help organizations understand who used an AI system, what data was accessed, what actions were taken, and whether established policies were followed. You will also learn how approval workflows can be designed for higher-risk use cases.The final section focuses on responsible AI deployment. You will learn how to conduct AI risk assessments, define human review requirements, document decisions, manage exceptions, and build a repeatable governance operating model. The course emphasizes balancing innovation with safety rather than treating governance as a barrier to progress.By the end of AI Governance and Security, you will understand how to evaluate AI risks, protect sensitive data, improve security, support compliance, and create practical enterprise controls. You will be prepared to contribute to governance programs involving responsible AI, AI risk management, AI security, data privacy, regulatory compliance, and enterprise AI governance.This course is ideal for executives, managers, architects, developers, security professionals, risk teams, auditors, privacy specialists, legal professionals, consultants, and anyone responsible for deploying AI safely and responsibly.

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Prompt Engineering for Product & UX Teams

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