Prompts Engineering for Responsible AI Course

USD 106
USD 53

Duration
00:38:14 hours

Access Time
Lifetime

Language
Arabic

Resources
(2)

Skill Level
( General - Specialized )

1662

Duration
00:38:14 hours

Access Time
Lifetime

Language
Arabic

Resources
(2)

Skill Level
( General - Specialized )

USD 106
USD 53

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About the instructor

Moustafa El-Esseily

Senior Consultant cmr.energy

Moustafa Ali, MSc in Informatics, PhD in AI, Senior Consultant for ICT in Various Industries

Top Skills:

- Effective Communication

- Public Speaking Confidence

- Ethisches Führungsverhalten

Languages:

- Englisch (Native or Bilingual)

- Deutsch (Full Professional)

Certifications:

- IHK UnternehmerSchule Rottal-Inn

- Generative AI at SAP

- Die Blockchain-Revolution: Use Cases, Governance und rechtliche Fallstricke

- MedTech: Cognitive Processes and AI Technology/Application of Machine Learning Algorithms

- Configuration Management

Publications:

- "Moustafa Ali’s protocol: An integrative approach for health promotion and safe application."

- "The Orientation Of physicians about eHealth was never created the same."

- "Exploring the physiological reactions to cupping treatment applying Moustafa Ali’s Protocol, a pilot study of the impact of cupping therapy on pathological semen parameters in male infertility."

Summary:

Dynamic and Innovative Multicultural Professional with a background in medicine, informatics, and management consulting. Passionate about leveraging technology and sustainable practices to drive positive change, foster partnerships, and promote the advancement of digital transformation.

Professional Summary:

- Pioneer in Informatics

- Multiculturalism Savvy

- Dynamic and innovative individual with a background in Engineering, Medical industry, Informatics, and Management Consulting.

- Eager to excel at utilizing technology and data to improve processes and drive efficiency in various organizations.

- Proficient in understanding the languages of doctors, engineers, and managers.

Key Skills:

- Performance and training

- Digital Transformation Leadership

- Sustainable Business Growth strategist

- Research & Analysis

- Software Development

- General Management

- Collaborative Team Player

- Developer of sustainable Business Acumen

Experience:

- Senior Information Technology Advisor at [Company], Houston, Texas, United States

- Founder at PQW® IT Management Consulting, Bavaria, Germany

- CTO & Co-Founder at SanaWe, Germany

- ICT-Berater at Yas Clinic Group, Abu Dhabi, United Arab Emirates

- Senior System Analyst at Cerner Corporation, Berlin, Germany

- Research Grant Director at Hanze Merkure Zentrum Fur TCM, Hamburg, Germany

Education:

- Master of Science (M.Sc.) in Informatics, Deggendorf Institute of Technology

- Mini Master of Business Administration in Business Administration, Management, and Operations, Pricewaterhouse and Coopers's ACADEMY

- Master's Degree foundation in Communication and diplomacy, American University in the Emirates

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.