AI Prompt Designer

Course Title:

AI Prompt Designer

Course Highlights:

• Personas and Custom Instructions
• The Transformation of the Human-Machine Communication Protocol
• The Art of Prompting
• Effective Prompting Strategies
• The Effective Prompting Framework

Course Overview:

This course equips students with the essential skills to master prompt engineering, a cornerstone of effective AI interaction. This badge delves into the concept of personas and custom instructions, enabling students to tailor AI responses to specific needs. It also explores the evolution of human-machine communication protocols and provides insights into crafting prompts that optimize AI performance. Through a combination of theoretical understanding and hands-on practice, students will develop effective prompting strategies and frameworks, empowering them to communicate with AI models more precisely and achieve highly relevant outputs.

Learning Objectives:

• Learning Objective 1:

  Analyze the role of personas and custom instructions in tailoring AI behavior to specific user needs and contexts.

• Learning Objective 2:

  Evaluate the evolution of human-machine communication protocols and their impact on AI-driven interactions.

• Learning Objective 3:

  Develop advanced prompting techniques to enhance AI responses and outcomes.

• Learning Objective 4:

  Identify and integrate the essential components that contribute to crafting an effective AI prompt.

• Learning Objective 5:

  Apply a structured framework for designing and deploying prompts that optimize AI performance.

Audience:

• Professionals: This badge is ideal for professionals from various industries and career levels, ranging from entry-level employees to executives. Whether you’re new to AI or have some expertise, the course offers practical knowledge to enhance your understanding and application of AI in your field.
• Students: Perfect for students from diverse academic backgrounds and disciplines, this course provides foundational AI knowledge suitable for different education levels. It bridges the gap between theoretical concepts and practical applications, empowering students to explore AI’s potential in their studies and future careers.
• Corporate: Organizations looking to upskill their teams or integrate AI into their operations can benefit from tailored versions of this course. The badge can be customized to address specific group needs and organizational goals, making it a valuable resource for driving innovation and strategic growth.

Pre-requisites:

This course is non-technical in nature and does not focus on developing AI algorithms. Instead, it emphasizes deploying existing AI tools through natural language understanding and reasoning. It is a non-coding course, meaning no prior coding or programming skills are needed. To succeed in this course, a good level of English proficiency is required, as effective communication is key when working with AI tools. Additionally, having strong common sense and critical analysis skills will help students engage meaningfully with the material and apply AI solutions effectively in various contexts.

Dedicated Time:

This module requires a total of 3 hours of active student engagement, covering all lessons, videos, podcasts, readings, and assessments. Additionally, students should allocate approximately 3 hours for reflection, digestion, and analysis to fully comprehend the material and its practical applications. This makes the total length of the module about 6 hours.

Learning Instructions:

To maximize learning outcomes, it is recommended to complete one session per day to ensure sufficient time for reflection and understanding. Approach each lesson with focus and engage actively with the materials provided. Use the additional reflection time to analyze the concepts and explore how they apply to real-world contexts, enhancing the depth and retention of your knowledge. Planning your schedule accordingly will help you achieve steady progress and a comprehensive grasp of the badge content.

• Lesson 1:

  This lesson is designed to equip students with the skills to define AI behaviors using personas and custom instructions, enabling them to tailor interactions to specific roles, preferences, and real-world contexts for enhanced effectiveness.

• Lesson 2:

  This lesson will help students understand the evolution of human-machine communication protocols, enabling them to leverage advancements in AI technology to enhance collaboration and adaptability in modern applications.

• Lesson 3:

  In this lesson, students will learn advanced techniques for crafting effective prompts, empowering them to optimize AI responses and achieve high-quality, tailored outputs to solve complex problems efficiently.

• Lesson 4:

  This lesson is designed to equip students with the ability to communicate clearly and precisely with AI systems, enhancing their capacity to convey nuanced requirements and achieve desired results with ease.

• Lesson 5:

  In this lesson, students will master a structured approach to designing and deploying strategies for optimal AI interactions, boosting their confidence and productivity in professional and personal contexts.

Start Dates:

Currently open for enrollement

Language of Instruction:

English

Assessments:

After completing each lesson, students will take an assessment designed to track progress, reinforce learning, and ensure a comprehensive grasp of the skills and knowledge covered. These assessments, consisting of multiple-choice questions (MCQs), evaluate understanding of lessons, videos, readings, and discussions. They focus on key concepts such as AI’s capabilities and limitations, tools, models, and transparency challenges. Each question is accompanied by a rationale for the correct answer, providing detailed explanations to enhance understanding and reflection. This structured approach encourages critical thinking, supports practical application, and ensures students achieve a well-rounded comprehension of AI fundamentals.

Instructor

Dr. Rachid J.

Course Material

The course material offers a dynamic and immersive learning experience, featuring instructor-led videos, deep dive exploratory animations, hands-on tutorials, carefully curated readings, and expert podcasts. The material is designed and presented in video, audio, and text formats, incorporating visuals and captions to maintain engagement and enhance the learning experience.

Sources & References

This work is built on a comprehensive state-of-the-art review of research on AI, synthesizing findings from top-tier journals such as MIT Sloan Management Review, Harvard Business Review, and leading AI and technology publications like Journal of Artificial Intelligence Research and Technovation. These sources provide a strong academic foundation, reflecting the latest advancements in AI theory and practice. It also incorporates insights from keynote announcements and discussions by industry leaders, including OpenAI, Google, Microsoft, and Anthropic, ensuring the content captures cutting-edge developments and trends in AI adoption. Furthermore, the material integrates the instructor’s extensive experience in AI adoption and deployment, gained through collaborations with firms and organizations across diverse industries and sectors. This blend of scholarly research, industry intelligence, and practical expertise ensures the content is both cutting-edge and applicable, offering students a well-rounded and actionable understanding of AI.