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This 1-day instructor-led AI CERTs® AI+ Prompt Engineer™: Level 1 course in Saudi Arabia equips professionals and enterprise teams with practical skills to design effective prompts, refine AI-generated outputs, and apply generative AI tools with structure and consistency.
The AI CERTs® AI+ Prompt Engineer™: Level 1 course in Saudi Arabia is designed for professionals and enterprise teams seeking a structured understanding of prompt engineering and its role in maximizing the value of generative AI systems.
This program introduces how prompt engineering functions as a key capability when working with generative AI technologies used for content creation, automation, research, and productivity improvement. As AI-powered tools become increasingly integrated into daily work environments, the ability to structure prompts effectively has become an essential digital skill.
The course explains core artificial intelligence principles and prompt construction techniques with a strong focus on practical application. Participants learn how carefully designed prompts influence model responses and how structured interaction methods help improve consistency, accuracy, and usefulness of AI-generated outputs.
The learning journey begins with an introduction to AI foundations, including machine learning concepts, natural language processing, and the operational behavior of large language models. Participants are introduced to widely used generative AI platforms such as ChatGPT, GPT-4, and visual generation models. Various prompting approaches—including zero-shot instructions, example-based prompting, step-by-step reasoning prompts, prompt sequencing, and retrieval-supported prompting—are demonstrated through guided exercises.
As the course progresses, learners practice applying prompt engineering strategies to real workplace scenarios such as content generation, process automation, research assistance, workflow optimization, and creative tasks. Additional sections focus on visual model prompting techniques, including prompt refinement, style guidance, and improving image generation outcomes.
The program also addresses responsible AI usage by covering bias awareness, ethical considerations, data privacy concerns, and governance practices that help organizations maintain controlled and accountable AI usage.
By the end of the course, participants are able to design structured prompts, guide AI tools more effectively, improve output consistency, and support organized adoption of generative AI within professional environments.
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1.1 Introduction to Artificial Intelligence
1.2 History of AI
1.3 Basics of Machine Learning
1.4 Deep Learning and Neural Networks
1.5 Natural Language Processing (NLP)
1.6 Prompt Engineering Fundamentals
2.1 Introduction to Effective Prompting
2.2 Giving Direction
2.3 Formatting Responses
2.4 Providing Examples
2.5 Evaluating Quality
2.6 Dividing Labor
2.7 Applying the Five Principles
2.8 Fixing Failing Prompts
3.1 AI Tools and Models Landscape
3.2 Deep Dive into ChatGPT
3.3 Exploring GPT-4
3.4 Revolutionizing Art with DALL·E 2
3.5 Emerging AI Tools
3.6 Specialized AI Models
3.7 Advanced AI Models
3.8 Google AI Innovations
3.9 Comparative Analysis of AI Tools
3.10 Practical Application Scenarios
3.11 Harnessing AI’s Potential
4.1 Zero-Shot Prompting
4.2 Few-Shot Prompting
4.3 Chain-of-Thought Prompting
4.4 Ensuring Self-Consistency
4.5 Generate Knowledge Prompting
4.6 Prompt Chaining
4.7 Tree of Thoughts
4.8 Retrieval-Augmented Generation
4.9 Graph Prompting and Data Interpretation
4.10 Real-Life Applications
4.11 Practical Exercises
5.1 Introduction to Image Models
5.2 Understanding Image Generation
5.3 Style Modifiers and Quality Boosters
5.4 Advanced Image Prompt Engineering
5.5 Prompt Rewriting for Image Models
5.6 Image Modification Techniques
5.7 Realistic Image Generation
5.8 Realistic Models and Consistent Characters
5.9 Practical Applications
6.1 Introduction to Project-Based Learning in AI
6.2 Selecting a Project Theme
6.3 Project Planning and Design
6.4 AI Implementation and Prompt Engineering
6.5 Integrating Text and Image Models
6.6 Evaluation and Improvement
6.7 Project Presentation
6.8 Guided Project Example
7.1 Introduction to AI Ethics
7.2 Bias and Fairness
7.3 Privacy and Data Security
7.4 Transparency and Accountability
7.5 Sustainable AI Development
7.6 Ethical Scenario Analysis
7.7 AI Regulations and Governance
7.8 Regulatory Landscape for Practitioners
7.9 Ethical Frameworks and Guidelines
The AI CERTs® AI+ Prompt Engineer™: Level 1 certification confirms a professional’s foundational understanding of generative AI interaction and structured prompt development. The program focuses on how prompts can be designed and refined to guide artificial intelligence systems effectively across different applications. It introduces essential AI principles, structured prompt design methods, commonly used AI platforms, techniques for improving text and image outputs, project-based implementation approaches, and responsible AI usage practices. The certification is intended for individuals who want to demonstrate practical capability in guiding AI models through well-structured instructions and controlled interaction.
To obtain the credential, candidates must complete a supervised certification assessment that evaluates knowledge of AI basics, prompt construction strategies, model interaction techniques, AI platform usage, and responsible deployment considerations. The examination contains 50 multiple-choice questions and must be completed within a 90-minute time limit. A minimum score of 70% is required to pass.
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