Prompts Engineering for Responsible AI Course

SAR 508
SAR 254

اشترك الآن

Duration
00:38:14 hours

Access Time
Lifetime

Language
Arabic

Resources
(2)

Skill Level
( General - Specialized )

130

Duration
00:38:14 hours

Access Time
Lifetime

Language
Arabic

Resources
(2)

Skill Level
( General - Specialized )

SAR 508
SAR 254

About the instructor

Moustafa El-Esseily

Co-Founder & Chief Technology Officer

Academic and professional degrees: MSc. Medical Informatics, PhD Blockchain and DLT in Healthcare

Brief Biography:
Researcher and developer of medical standards with Uniklinikum Ependorf
Software developer and a healthcare professional
Moustafa Ali chief technology officer for sanaWe eHealth solutions, Germany and founder of PQW
informatics with seventeen years of health care experience and IT consultancy services in Arabia, China,
Germany and America worked for CERNER and Ameos as an IT engineer from a medical background.
Involved in the decision-making process for Development, Digital assets management and
implementation of HIE and HIMS, ERP and telemedicine projects

بطاقة تفاصيل الخدمة

اسم الخدمة: Prompts Engineering for Responsible AI Course
التصنيف: Artificial intelligence
المدة: 00:38:14 hours
عدد المحاضرات: 8
لغة المحتوى: Arabic
الرسوم: ~~SAR 508~~
SAR 254
الشهادة: شهادة إتمام معتمدة
قناة تقديم الخدمة: إلكترونياً عبر المنصة
المستفيدون: الأفراد والجهات

الخطوات

إنشاء حساب أو تسجيل الدخولسجّل بياناتك الأساسية (الاسم، البريد الإلكتروني، رقم الجوال) وفعّل الحساب.
الاشتراك في المنصةاختر خطة الاشتراك الشهرية أو السنوية وأكمل الدفع الإلكتروني.
متابعة المحتوى التدريبيشاهد المحاضرات وأنجز الاختبارات حتى اكتمال نسبة الإنجاز.
الحصول على الشهادةتُصدر شهادة الإتمام إلكترونياً ويمكن التحقق منها عبر خدمة التحقق من الشهادة.

المستندات المطلوبة

لا تتطلب الخدمة أي مستندات ورقية.
بريد إلكتروني فعّال ورقم جوال لتفعيل الحساب.
الاسم الكامل كما في الهوية ليُطبع على الشهادة.

Objectives of Prompts Engineering for Responsible AI Course

Prompts play a pivotal role in shaping user interactions with AI systems, influencing engagement, usability, and overall user experience. In this course, participants will delve into the fascinating field of prompts engineering, gaining insights into its fundamentals, methodologies, and ethical considerations. Led by industry expert Moustafa Ali, participants will explore techniques such as natural language processing (NLP), machine learning, and deep learning to design effective prompts tailored to diverse AI applications.

Course Description:

This course offers a comprehensive exploration of prompts engineering principles and methodologies within the context of responsible AI, with a focus on applications in healthcare and medical informatics. Participants will delve into the fundamentals of prompts design, optimization, and evaluation, gaining hands-on experience through practical projects and workshops.

Outcome:

Upon completion of this course, participants will have a comprehensive understanding of prompts engineering principles, practical skills in prompt design and optimization, and a heightened awareness of ethical considerations in AI development. They will be equipped to apply these insights in their respective roles and contribute to the advancement of responsible AI practices in their organizations and beyond.

You Will Learn

Key Topics Covered:

Fundamentals of Prompts Engineering: Definition, Purpose, and Applications
Techniques and Methodologies: NLP, Machine Learning, and Deep Learning
Case Studies and Real-World Examples: Assessing Effectiveness in AI Systems
Designing and Implementing Prompts: Factors, Considerations, and Best Practices
Impact Assessment: Usability, Accessibility, and Inclusivity of AI Systems
Collaborative Innovation: Brainstorming and Problem-Solving in Prompt Design
Hands-On Application: Implementing Prompts Engineering Principles in Projects
Ethical and Societal Implications: Addressing Biases, Privacy Concerns, and Algorithmic Fairness
Effective Communication: Presenting, Discussing, and Writing about Prompts Engineering
Reflective Practice: Identifying Areas for Personal and Professional Development

Targeted Students

Target Audience for the Course on Prompts Engineering and Responsible AI:

AI Developers and Engineers seeking to deepen their understanding of prompts engineering and its applications across industries.
Data Scientists interested in exploring the techniques and methodologies of prompts engineering, including NLP, machine learning, and deep learning.
UX/UI Designers aiming to enhance user interactions through effective prompt design and implementation in AI systems.
Product Managers responsible for AI applications, looking to develop skills in designing prompts tailored to specific tasks and user needs.
Ethicists and Compliance Officers concerned with the ethical implications of prompts engineering, including biases and privacy considerations.
AI Researchers eager to analyze case studies and real-world examples to assess the effectiveness of prompts engineering in improving AI system performance.
Business Analysts and Consultants seeking to understand the impact of prompts engineering on AI usability, accessibility, and inclusivity.
Policy Makers and Regulators interested in assessing the societal implications of prompts engineering and promoting algorithmic fairness.
Educators and Academics aiming to incorporate prompts engineering concepts into curriculum development and research initiatives.
Professionals across various industries keen on communicating effectively about prompts engineering principles and best practices to diverse stakeholders.