AI Prompt Engineer Level 1™

Your first step toward a promising career path as an AI Prompt Engineer Level 1™

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Certified by the Artificial Intelligence Institute

 

Why the AI Prompt Engineer Level 1™ Course? ×10 Innovative Impact?

Comprehensive AI Knowledge: Understand the fundamentals of artificial intelligence, including machine learning, deep learning, and natural language processing.

Advanced Prompt Engineering: Master core principles and advanced techniques for crafting effective prompts and solving related challenges.

Hands-On AI Tools and Models: Gain practical experience with the latest AI tools and text/image generation models such as GPT-4 and DALL·E 2.

Ethical AI Practices: Learn about AI ethics, including data security, privacy, and regulatory compliance, ensuring responsible AI usage.

 

 

 

Quick Overview: Course & Exam Snapshot

Program Name:


AI Prompt Engineer Level 1™

Included Content:


Instructor-Led Training or Self-Paced Learning + Official Exam + Digital Badge

Duration:

Instructor-Led: 1 day (In-person or Virtual)

Self-Paced: 8 Hours of Content

Prerequisites:


Basic understanding of AI fundamentals and readiness for creative thinking to generate ideas and effectively use AI tools.

Exam Format:


50 questions, 70% passing score, 90 minutes, online proctored exam

Delivery Method:


Projects and Case Studies

Outcome:


Industry-recognized certificate + hands-on experience

Who Should Enroll?

  • Researchers: Enhance your research using AI by creating and leveraging effective prompts to explore new scientific data and solve complex problems.

  • Data Scientists & Analysts: Improve your ability to optimize machine learning models by mastering prompt engineering to analyze data and extract actionable insights.

  • Developers & Programmers: Learn how to build, enhance, and deploy AI-powered applications by crafting effective prompts that improve AI system performance.

  • Business Leaders & Strategists: Acquire skills to integrate AI solutions into business strategies to optimize operations and decision-making.

  • Machine Learning Engineers: . Strengthen your expertise by learning how to fine-tune AI prompts to improve machine learning model performance

Industry Growth: Driving Innovation in AI Communication & Content Creation

  • The global prompt engineering market is projected to reach $2.06 billion by 2030,with a CAGR of 32.8٪. (Grand View Research)

  • As AI adoption accelerates, industries such as healthcare, finance, and retail are actively seeking prompt engineers..

  • Prompt engineers are essential in Optimizing AI outputs…and ensuring that models generate accurate and relevant responses.

  • With the proliferation of AI tools, prompt engineers play a pivotal role in shaping the performance of intelligent models.

Job Roles and Industry Outlook

Interaction Designer:

Focuses on designing user experiences (UX) by creating intuitive interactions between users and AI systems.

User Experience Engineer:

Specializes in building AI systems that prioritize user experience.

Communications Developer:

Builds AI-powered systems that support communication tasks such as chatbots or virtual assistants.

Prompt Engineer:

Designs and optimizes AI prompts to enhance model performance.

Skills You Will Acquire

  • Familiarity with Neural Networks

  • Basics of Natural Language Processing (NLP)

  • History and Concepts of AI

  • Designing Effective AI Prompts

  • Hands-On Prompt Engineering Practice

  • Project-Based Learning in AI Prompting

Prerequisites

Understanding of AI fundamentals and how to use it no technical skills required.

Readiness for creative thinking to generate ideas and effectively use AI tools

Exam Details

Duration:

90 minutes

Passing Score:

70% (35/50)

Question Format:

 50 multiple-choice / multiple-response questions

Delivery Method:

Online via proctored testing platform (flexible scheduling)

Exam Blueprint

  • AI Fundamentals & Prompt Engineering: 11%

  • Principles of Effective Prompt Creation: 15%

  • Introduction to AI Tools and Models: 15%

  • Mastering Prompt Engineering Techniques: 20%

  • Mastering Image Model Techniques: 15%

  • Project-Based Learning Session: 12%

  • Ethical Considerations & AI Future: 12%

Choose the Format That Fits Your Schedule

What’s Included (1-Year Subscription + All Updates):

  • High-quality videos, eBook (PDF & audio), and podcasts

  • AI mentor for personalized guidance

  • Quizzes, Assessments, and Course Resources

  • Online proctored exam with one free retake

  • Comprehensive exam study guide

  • Access via tablet and mobile devices

 
 
 
 
 
 
 
 
 
 

 

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Self-paced Online Learning

Approximately 8 hours of on-demand video lessons, an e-book, and podcasts. Learn from anywhere, at any time, with short standardized quizzes to track progress.

Purchase the self-paced online course

Instructor-led training (live virtual / in-person)

One day of intensive training featuring live demonstrations. Real-time Q&A and collaboration among participants. Delivered by certified AI instructors and conducted through authorized training partners.

Purchase the self-paced online course

Tools You Will Explore

Frequently Asked Questions (FAQ)

The course combines theoretical learning andhands-on exercises and project-based learning sessions. This structure helps participants gain conceptual knowledge andpractical experience simultaneously

 

This certification is suitable for individuals from diverse backgrounds and levels of experience who wish to obtain a comprehensive understanding of AI and prompt engineering.
and is ideal for AI developers, data scientists, educators, and anyone interested in harnessing the full potential of AI models through effective prompt creation..

The certification includes Principles of Effective Prompt CreationFor example:

  • Providing clear instructions

  • Formatting responses

  • Giving examples

  • Evaluating response quality

  • Correcting failed prompts

Participants will learn to apply these principles through hands-on exercises and real-world scenarios..

Completing this certification will equip you with core skills to work in industries such as:

  • AI-powered content generation

  • Customer support automation

  • Optimizing AI solutions within enterprises

 
 
 
 

You will apply skills Artificial Intelligence and Prompt Engineering on various projects, which enhances your problem-solving, communication, and teamwork skills.

What Will You Learn?

Course Introduction

 
 
 

 

1.1 Introduction to Artificial Intelligence
1.2 History of Artificial Intelligence
1.3 Fundamentals of Machine Learning
1.4 Deep Learning and Neural Networks
1.5 Natural Language Processing (NLP)
1.6 Fundamentals of Prompt Engineering

 
 
 

2.1 Introduction to Principles of Effective Prompt Crafting
2.2 Providing Clear Instructions
2.3 Formatting Responses
2.4 Providing Examples
2.5 Evaluating Response Quality
2.6 Task Decomposition
2.7 Applying the Five Principles
2.8 Correcting Failed Prompts

 
 
 
 
 
 
 

3.1 Understanding AI Tools and Models
3.2 Deep Dive into ChatGPT
3.3 Exploring GPT-4
3.4 The Art Revolution with DALL·E 2
3.5 Introduction to Emerging GPT-Based Tools
3.6 Specialized AI Models
3.7 Advanced AI Models
3.8 Google’s Innovations in AI
3.9 Comparative Analysis of AI Tools
3.10 Hands-On Application Scenarios
3.11 Harnessing AI Capabilities

 
 
 
 

)
4.2 Prompting with a Few Examples (Few-Shot Prompting)
4.3 Chain-of-Thought Prompting
4.4 Ensuring Self-Consistency in AI Responses
4.5 Prompting for Knowledge Generation (Generate Knowledge Prompting)
4.6 Prompt Chaining
4.7 Tree of Thoughts: Exploring Multiple Solutions
4.8 Retrieval-Augmented Generation (RAG)
4.9 Graph Prompting and Advanced Data Interpretation
4.10 Practical Application: Real-World Scenarios
4.11 Practical Exercises

 
 
 
 
 
 
 

5.1 Introduction to Image Models
5.2 Understanding Image Generation
5.3 Style Modifiers and Quality Enhancers in Image Generation
5.4 Advanced Prompt Engineering for AI Image Generation
5.5 Prompt Rewriting for Image Models
5.6 Image Editing Techniques: Inpainting & Outpainting
5.7 Generating Realistic Images
5.8 Photorealistic Models and Consistent Characters
5.9 Practical Application of Image Model Techniques

 

6.1 Introduction to Project-Based Learning in Artificial Intelligence
6.2 Selecting a Project Topic
6.3 Planning and Designing an AI Project
6.4 AI Implementation and Prompt Engineering
6.5 Integrating Text and Image Models
6.6 Evaluation and Integration in AI Projects
6.7 Presenting the Project in an Engaging and Effective Way
6.8 A Guided Project Example

 

7.1 Introduction to AI Ethics
7.2 Bias and Fairness in AI Models
7.3 Privacy and Data Security in AI
7.4 The Urgent Need for Transparency in AI Processes
7.5 Developing Sustainable AI: A Necessity for the Future
7.6 Analyzing Ethical AI Scenarios: Navigating a Complex Landscape
7.7 Navigating the Complex Landscape of AI Regulations and Governance
7.8 A Practitioner’s Guide to the AI Regulatory Environment
7.9 Ethical Frameworks and Guiding Principles in AI Development

  1. What Are AI Agents?

  2. Applications and Trends of AI Agents for Prompt Engineers

  3. How AI Agents Work?

  4. Core Characteristics of AI Agents

  5. The Importance of AI Agents

  6. Types of AI Agents

 
 
 

Start your future now

Step into the world of AI Prompt Engineer Level 1™ with a move that transforms your career.

Enroll Now