AI+ Prompt Engineer Level 1™ Certification

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ai prompt engineer level 1

Delivered by AI CERTs® certified trainers

Official AI CERTs® curriculum

8-hour live virtual instructor-led format

24/7 learner assistance

Overview Learning Objectives Who Should Attend Prerequisite Outline Certification

AI CERTs® AI+ Prompt Engineer™: Level 1 Course Overview

The AI CERTs® AI+ Prompt Engineer™: Level 1 course in is designed for professionals and enterprise teams who want a structured understanding of prompt engineering and its growing role in working with generative AI systems.

This program explains how prompt engineering allows professionals to interact effectively with generative AI technologies used for writing, research, automation, and creative work. As AI tools increasingly support everyday business activities, the ability to create precise prompts has become an important skill for improving productivity and maintaining consistent results.

The course introduces essential artificial intelligence concepts and explains how language models process prompts to generate responses. Rather than concentrating on technical development, the program focuses on practical interaction with AI tools through structured communication techniques.

Participants begin with an introduction to core AI topics, including machine learning fundamentals, natural language processing, and the functioning of large language models. The course then presents commonly used generative AI platforms such as ChatGPT, GPT-4, and image generation tools.

Various prompt design methods are demonstrated throughout the program, including instruction prompts, example-based prompts, step-by-step reasoning prompts, prompt chaining, and retrieval-supported prompting techniques. These approaches are explored through demonstrations and guided exercises.

As the sessions progress, participants apply prompt engineering practices to real workplace situations such as content creation, research assistance, workflow coordination, and creative problem solving. The training also introduces prompting techniques for image generation systems, including style control, prompt refinement, and improving visual outputs.

The program also addresses responsible AI use by discussing bias awareness, ethical considerations, data privacy concerns, and governance practices that support responsible AI adoption within organizations.

By the end of the course, participants develop the ability to design clear prompts, interact with AI tools more effectively, improve the quality of AI-generated responses, and support structured use of generative AI in professional environments.

Course Objectives

Understand the fundamentals of artificial intelligence and model behavior relevant to prompt engineering
Learn how prompt structure influences the clarity and reliability of AI-generated responses
Apply prompting techniques such as instruction prompts, example prompts, and reasoning prompts
Use structured approaches such as prompt chaining and retrieval-supported prompting
Become familiar with widely used generative AI tools for text and visual content creation
Design prompts for tasks including writing assistance, research support, workflow automation, and information analysis
Review and refine AI-generated outputs using structured evaluation methods
Apply prompting techniques for image generation tools, including style guidance and output refinement
Combine text and visual AI tools to support practical project workflows
Follow responsible AI practices addressing fairness, privacy protection, and governance awareness

Target Audience

AI Engineers
Software Developers
IT Professionals
Prompt Engineers
Data Analysts
Automation Specialists
Innovation Professionals
Digital Transformation Leaders

Eligibility Criteria

General familiarity with digital technologies or AI tools used in modern workplaces
Programming knowledge is not required
Interest in exploring generative AI tools for productivity and innovation
Willingness to experiment with structured prompt design techniques when working with AI systems

Course Outline

Module 1: Foundations of Artificial Intelligence (AI) and Prompt Engineering

1.1 Introduction to Artificial Intelligence

Brief history and evolution of AI
AI’s impact across industries

1.2 History of AI

Key milestones in AI development
Evolution of AI technologies

1.3 Basics of Machine Learning

Introduction to machine learning
Supervised vs. unsupervised learning

1.4 Deep Learning and Neural Networks

Fundamentals of deep learning
Structure and function of neural networks

1.5 Natural Language Processing (NLP)

Overview and significance of NLP
Applications of NLP in AI systems

1.6 Prompt Engineering Fundamentals

Definition and importance of prompt engineering
Core principles and techniques for effective prompting

Module 2: Principles of Effective Prompting

2.1 Introduction to Effective Prompting

Importance of structured prompting

2.2 Giving Direction

Crafting clear and specific prompts
Enhancing response quality through precision

2.3 Formatting Responses

Specifying response formats (lists, tables, paragraphs)
Impact of formatting on usability

2.4 Providing Examples

Using examples to clarify expectations
Setting context for improved outputs

2.5 Evaluating Quality

Assessing AI responses
Iterative prompt refinement

2.6 Dividing Labor

Breaking down complex tasks
Sequential prompt structuring

2.7 Applying the Five Principles

Real-world application exercises
Documentation and structured practice

2.8 Fixing Failing Prompts

Diagnosing prompt failures
Hands-on prompt improvement activity

Module 3: Introduction to AI Tools and Models

3.1 AI Tools and Models Landscape

Generative vs. traditional AI models

3.2 Deep Dive into ChatGPT

Architecture, capabilities, and limitations
Real-world applications

3.3 Exploring GPT-4

Advancements and practical use cases

3.4 Revolutionizing Art with DALL·E 2

Creative image generation techniques

3.5 Emerging AI Tools

Claude-instant-100k, DALL·E-3

3.6 Specialized AI Models

StableDiffusionXL, Llama-2-70b-Groq

3.7 Advanced AI Models

Claude-2-100k, Mistral-Medium, Gemini-Pro
Model selection strategies

3.8 Google AI Innovations

Google-PaLM overview
Model integration strategies

3.9 Comparative Analysis of AI Tools

Strengths and weaknesses
Selection criteria for projects

3.10 Practical Application Scenarios

Designing effective use cases
Tool selection based on needs

3.11 Harnessing AI’s Potential

Key insights and strategic application

Module 4: Mastering Prompt Engineering Techniques

4.1 Zero-Shot Prompting

Designing prompts without examples

4.2 Few-Shot Prompting

Leveraging minimal examples

4.3 Chain-of-Thought Prompting

Step-by-step reasoning structures

4.4 Ensuring Self-Consistency

Validation and response coherence techniques

4.5 Generate Knowledge Prompting

Creative and innovative prompt design

4.6 Prompt Chaining

Sequential prompts for complex tasks

4.7 Tree of Thoughts

Multipath solution exploration

4.8 Retrieval-Augmented Generation

Integrating external data sources

4.9 Graph Prompting and Data Interpretation

Using structured and graphical data

4.10 Real-Life Applications

Cross-industry practical exercises

4.11 Practical Exercises

Advanced challenge projects

Module 5: Mastering Image Model Techniques

5.1 Introduction to Image Models

Overview of generative image models

5.2 Understanding Image Generation

Text-to-image principles

5.3 Style Modifiers and Quality Boosters

Enhancing image attributes

5.4 Advanced Image Prompt Engineering

Weighted terms and negative prompts

5.5 Prompt Rewriting for Image Models

Refinement strategies and case studies

5.6 Image Modification Techniques

Inpainting and outpainting methods

5.7 Realistic Image Generation

Techniques for realism and character consistency

5.8 Realistic Models and Consistent Characters

Narrative and visual consistency

5.9 Practical Applications

Real-world deployment scenarios

Module 6: Project-Based Learning Session

6.1 Introduction to Project-Based Learning in AI

Importance and methodology

6.2 Selecting a Project Theme

Theme identification and ideation

6.3 Project Planning and Design

Scope, timeline, and model selection

6.4 AI Implementation and Prompt Engineering

Iterative prompt refinement

6.5 Integrating Text and Image Models

Multi-model project strategies

6.6 Evaluation and Improvement

Benchmarking and iterative optimization

6.7 Project Presentation

Structured presentation and feedback

6.8 Guided Project Example

End-to-end walkthrough

Module 7: Ethical Considerations and Future of AI

7.1 Introduction to AI Ethics

Ethical foundations in AI development

7.2 Bias and Fairness

Identifying and mitigating bias

7.3 Privacy and Data Security

Data protection best practices

7.4 Transparency and Accountability

Explainability and governance mechanisms

7.5 Sustainable AI Development

Environmental considerations

7.6 Ethical Scenario Analysis

Emerging AI trends and implications

7.7 AI Regulations and Governance

Regulatory frameworks and compliance

7.8 Regulatory Landscape for Practitioners

Legal implications for AI professionals

7.9 Ethical Frameworks and Guidelines

Adoption of responsible AI practices

AI CERTs® AI+ Prompt Engineer™: Level 1 Certification

The AI CERTs® AI+ Prompt Engineer™: Level 1 certification validates a professional’s foundational understanding of interacting with generative AI systems through structured prompts. The program focuses on how carefully designed prompts guide AI models to produce accurate, relevant, and consistent responses across different business and creative use cases. It introduces essential artificial intelligence concepts, practical prompt development techniques, commonly used generative AI platforms, and approaches for improving both text and image-based outputs. This certification is intended for individuals who want to demonstrate their ability to work effectively with AI tools using structured instructions and responsible usage practices.

To obtain the certification, participants must complete a supervised assessment that evaluates their knowledge of AI fundamentals, prompt engineering techniques, interaction with generative AI models, use of AI platforms, and responsible AI practices. The exam contains 50 multiple-choice questions and must be completed within 90 minutes. A minimum score of 70% is required to successfully pass the assessment.

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AI+ Prompt Engineer™: Level 1 Online Training

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AI+ Prompt Engineer™: Level 1 Corporate Training

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FAQ’s

What subjects are included in the AI+ Prompt Engineer™: Level 1 course?

The course introduces artificial intelligence fundamentals, structured prompt design methods, and the practical use of generative AI tools. It covers techniques such as instruction prompts, example prompts, reasoning prompts, prompt chaining, retrieval-based prompting, and image generation prompting methods. Responsible AI practices and safe AI usage are also discussed.

Who is this program intended for?

The program is designed for professionals working with AI tools, including developers, IT specialists, aspiring prompt engineers, automation professionals, and teams involved in digital innovation initiatives. It is also useful for individuals looking to improve productivity using generative AI systems.

Do participants need prior AI or programming knowledge?

No prior AI or programming experience is required. The course is structured for professionals with general familiarity with digital technologies or AI tools.

Are there any requirements before enrolling?

Participants should have general awareness of how AI tools are used in modern work environments and an interest in learning structured prompt engineering techniques. No technical development background is necessary.

What capabilities will learners gain from the course?

Participants learn how to design effective prompts, improve the reliability of AI-generated responses, apply multiple prompting frameworks, work with text and image generation tools, and follow responsible AI practices when using generative AI technologies.

In what formats is the training available?

The program is available through live instructor-led virtual sessions and flexible self-paced learning modules, allowing individuals and enterprise teams to choose a format that fits their schedules.

How long is the AI+ Prompt Engineer™: Level 1 training?

The instructor-led format is delivered as a one-day program lasting approximately 8 hours. The self-paced option provides the same content through flexible learning modules.

Does the course include practical activities?

Yes. The training includes guided exercises, demonstrations, and real-world examples that allow participants to practice prompt engineering techniques and apply them in practical scenarios.

Is there a certification exam included in the program?

Yes. Participants must complete a supervised certification exam to receive the credential.

How does this certification help professionals?

As generative AI technologies become increasingly integrated into workplaces, the certification demonstrates a professional’s ability to design effective prompts, improve AI-generated outputs, and contribute to AI-driven initiatives across industries. It also supports professionals in using AI tools more efficiently in their daily work.