Certified AI Prompt Engineering

The Certified AI Prompt Engineering course is a comprehensive 5-day program designed to equip business leaders and managers with the knowledge and skills to leverage AI. prompts effectively. Participants will gain an understanding of AI models, learn techniques for crafting impactful prompts, and explore various AI applications such as NLP, chatbots, recommendation systems, image and video analysis, and speech recognition.

Last updated 1/2025

English / Arabic

161+ Participants

What you'll learn

Comprehensive understanding of AI prompt engineering principles and techniques.
Proficiency in crafting effective and contextually appropriate AI prompts.
Ability to evaluate and optimize AI prompt performance.
Knowledge of ethical considerations and responsible practices in AI prompt engineering.
Expertise in leveraging AI prompts for improved business decision making and customer engagement.
Capability to implement AI prompt strategies in organizations.
Acquisition of a Certified AI Prompt Engineer credential, validating proficiency in the field.

Course Outline

Module 1 : Introduction to AI Prompt Writing

This module introduces the fundamental concepts of AI prompt writing, focusing on understanding AI models and their interaction techniques. Participants will explore the benefits of AI prompts in various business scenarios and examine ethical considerations and challenges. Real-world case studies and hands-on experience with AI Dungeon highlight successful applications.

Module 2: AI Models and Prompting Techniques

Participants will gain insights into AI models and their applications. The module emphasizes effective prompting techniques, optimizing interactions with AI models, and addressing issues of bias and fairness. Ethical considerations in prompt engineering and practical use of Hugging Face's Transformers are covered.

Module 3: Effective Prompt Design and Implementation

This module teaches how to design user-centric prompts tailored to different contexts. Topics include crafting clear, concise prompts, maintaining brand voice, and creating dynamic, personalized interactions. Iterative improvement through A/B testing is explored, with practical exercises using OpenAI's ChatGPT.

Module 4: Natural Language Processing (NLP) Applications

Learners delve into NLP's capabilities, exploring applications like text generation, summarization, sentiment analysis, and customer feedback processing. Effective prompt design techniques for NLP tasks are demonstrated, alongside practical sessions using Google's Cloud Natural Language.

Module 5: Chatbot Development and Conversational AI

Focusing on chatbots and virtual assistants, this module equips participants with skills to design interactive AI agents using prompts. Topics include user intent recognition, response generation, and creating engaging conversational experiences. Case studies and hands-on exercises with AWS Forecast enrich the learning experience.

Module 6: Recommendation Systems and Personalization

This module covers recommendation system fundamentals and personalization techniques. Participants will learn how to design effective prompts for AI-based suggestions and collaborative filtering. Real-world case studies demonstrate successful applications, with practical use of DialogFlow.

Module 7: Image and Video Analysis

Learners explore AI-powered image and video analysis, including object recognition, tagging, and summarization. Techniques for designing prompts tailored to visual content are demonstrated, with practical sessions using tools like Databricks or Jupyter Notebooks.

Module 8: Speech Recognition and Voice Assistants

This module focuses on voice-based AI applications, teaching participants to write prompts for speech recognition and voice commands. Topics include designing interactive voice experiences and exploring successful implementations, with practical exercises using Microsoft’s Power Virtual Agents.

Module 9: Evaluating and Optimizing AI Prompt Performance

Participants will learn how to define metrics for evaluating prompt performance, analyze errors, and implement feedback loops. Strategies for adapting prompts to evolving user needs and leveraging data for optimization are explored in this hands-on module.

Module 10: Ethical Considerations in AI Prompt Writing

This module addresses ethical challenges in AI prompt engineering, including bias, fairness, privacy, and transparency. Participants will explore responsible AI practices, accountability, and legal considerations to ensure compliance and ethical use.

Module 11: Implementing AI Prompt Writing Strategies

This module equips participants to develop comprehensive AI prompt writing strategies, emphasizing collaboration between AI and human writers. Topics include change management, employee training, and practical guidance for integrating AI prompts in organizational workflows.

Module 12: Scaling AI Prompt Writing in Organizations

The final module focuses on scaling AI prompt writing across business units. Participants will learn knowledge-sharing strategies, standardization, and change management techniques. The module concludes with a final project to develop a complete AI prompt writing plan.

Trusted by over 500 companies and thousands of learners around the world

Absolutely loved your seminar! I found myself smiling and nodding along, completely resonating with every word you shared. It’s refreshing to witness the growing integration of AI and innovation into the HR landscape at last!

Lara El Ghandour W Group Holding

Thank you for delivering such an insightful AI prompt writing course. Your expertise and clear guidance have greatly enhanced my skills and confidence. I highly recommend this course to anyone looking to master prompt writing. Your support made all the difference—thank you!

Mariam Participant

A standout session for me was by Fred Haentjens, author of "Mastering AI: From Insight to Impact", who spoke about Gen AI in the learning space and Boxology innovative use of custom ChatGPT for HR, leveraging AI prompts to create personalized HR solutions.

Bushra Yousuf Country Manager at LexisNexis Risk Solutions

Enjoyed your talk on AI in HR yesterday Fred Haentjens. . Some thought provoking points around the ethics of using AI in recruitment and other considerations such as data privacy and data security.

Ali Q Naqvi Founder - Alif

The experience was truly incredible, filled with engaging sessions that allowed us to explore cutting-edge digital strategies and innovation practices. I am especially grateful for the enthusiasm, curiosity, and collaborative spirit exhibited by all the attendees. Thank Fred once again for this fantastic learning journey.

Abdullah Alshaiqi Transformation and Property Support Senior Manager

The course was very interesting and informative. Thanks Fred for your efforts and knowledge you have provided to understand Digital Transformation and Artificial Intelligence (AI).

Mazen Melebari IT Operations Division Head

Something is cooking…When you meet Frederik Haentjens on the stage you’re already preparing for the next stage ! So happy to meet you and discuss the futur of work and futur collaboration !Thanks for this inspiring and insightful moment!

Wafa Laamiri CEO CRIT Tunisia, Staffing company

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