AI+ Prompt Engineer Level 1™

# AC-130

Master AI Prompts with the AI+ Prompt Engineer Level 1™ Certification
The AI+ Prompt Engineer Level 1™ Certification is one of the best AI prompt engineer certifications available, designed to empower learners from diverse backgrounds to excel in AI prompt engineering. This comprehensive course introduces the fundamental principles of generative AI prompt engineering, covering essential concepts of AI, machine learning, neural networks, and natural language processing. Through this AI prompt engineering certification, participants gain hands-on experience with the best practices for creating effective prompts that maximize the capabilities of AI models across various applications. With a blend of theoretical knowledge and practical exercises, this AI prompt engineer training equips learners with the skills to design, implement, and optimize prompts for advanced AI systems, making them proficient in AI prompt engineering techniques applicable across industries. By the end of the program, participants earn an AI prompt engineer certificate and are fully prepared to create high-quality, impactful prompts tailored for specific domains and objectives.

$195.00

What’s included?

  • High-Quality Videos and E-Book
  • AI Mentor for Personalized Guidance
  • Quizzes, Assessments and Course Resources
  • Proctored Exam With 1 Free Retake
  • Exam Study Guide

Prerequisites

  • Basic AI Knowledge: Familiarity with fundamental AI concepts and applications to engage with advanced topics.
  • Programming Skills: Knowledge of programming languages such as Python or R.
  • Data Analysis Proficiency: Ability to analyze and interpret data effectively.
  • Machine Learning Knowledge: Understanding of machine learning algorithms and techniques.
  • Ethical Awareness: Awareness of ethical issues related to AI development.

Exam Details

What Will You Learn?

Prompt Engineering Mastery
Gain expertise in AI prompt engineering, learning to build and optimize prompts that drive AI model performance. This section teaches prompt structure, language adjustments, and troubleshooting to enhance output quality.
Mastering Visual Model Techniques
Explore methods for working with image data in generative AI prompt engineering. Learn to preprocess, fine-tune models, and improve performance for applications like classification, identification, and image synthesis.
Developing AI Architectural Skills
Acquire a deep understanding of AI tools and models used in prompt engineering. This includes frameworks and architectures to implement AI solutions effectively across varied domains.
Project-Based Learning Skills
Apply AI prompt engineering concepts through real-world projects. This section enhances problem-solving, communication, and teamwork by working on collaborative AI projects.

Certification Modules

Certification Overview
  1. Course Introduction Preview
Module 1: Foundations of Artificial Intelligence (AI) and Prompt Engineering
  1. 1.1 Introduction to Artificial Intelligence
  2. 1.2 History of AI
  3. 1.3 Machine Learning Basics Preview
  4. 1.4 Deep Learning and Neural Networks
  5. 1.5 Natural Language Processing (NLP)
  6. 1.6 Prompt Engineering Fundamentals
Module 2: Principles of Effective Prompting
  1. 2.1 Introduction to the Principles of Effective Prompting
  2. 2.2 Giving Directions
  3. 2.3 Formatting Responses
  4. 2.4 Providing Examples
  5. 2.5 Evaluating Response QualityPreview
  6. 2.6 Dividing Labor
  7. 2.7 Applying The Five Principles
  8. 2.8 Fixing Failing Prompts
Module 3: Introduction to AI Tools and Models
  1. 3.1 Understanding AI Tools and Models
  2. 3.2 Deep Dive into ChatGPT Preview
  3. 3.3 Exploring GPT-4
  4. 3.4 Revolutionizing Art with DALL-E 2
  5. 3.5 Introduction to Emerging Tools using GPT
  6. 3.6 Specialized AI Models
  7. 3.7 Advanced AI Models
  8. 3.8 Google AI Innovations
  9. 3.9 Comparative Analysis of AI Tools
  10. 3.10 Practical Application Scenarios
  11. 3.11 Harnessing AI’s Potential
Module 4: Mastering Prompt Engineering Techniques
  1. 4.1 Zero-Shot Prompting
  2. 4.2 Few-Shot Prompting
  3. 4.3 Chain-of-Thought Prompting
  4. 4.4 Ensuring Self-Consistency in AI Responses
  5. 4.5 Generate Knowledge Prompting
  6. 4.6 Prompt Chaining
  7. 4.7 Tree of Thoughts: Exploring Multiple Solutions
  8. 4.8 Retrieval Augmented Generation
  9. 4.9 Graph Prompting and Advanced Data Interpretation Preview
  10. 4.10 Application in Practice: Real-Life Scenarios
  11. 4.11 Practical Exercises
Module 5: Mastering Image Model Techniques
  1. 5.1 Introduction to Image Models
  2. 5.2 Understanding Image Generation
  3. 5.3 Style Modifiers and Quality Boosters in Image Generation
  4. 5.4 Advanced Prompt Engineering in AI Image Generation
  5. 5.5 Prompt Rewriting for Image Models
  6. 5.6 Image Modification Techniques: Inpainting and Outpainting
  7. 5.7 Realistic Image Generation
  8. 5.8 Realistic Models and Consistent Characters
  9. 5.9 Practical Application of Image Model Techniques
Module 6: Project-Based Learning Session
  1. 6.1 Introduction to Project-Based Learning in AI
  2. 6.2 Selecting a Project Theme
  3. 6.3 Project Planning and Design in AI
  4. 6.4 AI Implementation and Prompt Engineering
  5. 6.5 Integrating Text and Image Models
  6. 6.6 Evaluation and Integration in AI Projects
  7. 6.7 Engaging and Effective Project Presentation
  8. 6.8 Guided Project Example
Module 7: Ethical Considerations and Future of AI
  1. 7.1 Introduction to AI Ethics Preview
  2. 7.2 Bias and Fairness in AI Models
  3. 7.3 Privacy and Data Security in AI
  4. 7.4 The Imperative for Transparency in AI Operations
  5. 7.5 Sustainable AI Development: An Imperative for the Future
  6. 7.6 Ethical Scenario Analysis in AI: Navigating the Complex Landscape
  7. 7.7 Navigating the Complex Landscape of AI Regulations and Governance
  8. 7.8 Navigating the Regulatory Landscape: A Guide for AI Practitioners
  9. 7.9 Ethical Frameworks and Guidelines in AI Development

Industry Opportunities after Certification Completion

Median Salaries
$85000
With AI+ Prompt Engineer Level 1™
$105000
% Difference
23.53

Learner Success Stories

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Frequently Asked Questions

The course combines theoretical instruction with practical exercises and project-based learning sessions. This structure helps participants gain both conceptual knowledge and hands-on experience.
This certification is suitable for individuals from diverse backgrounds and levels of expertise who want to gain a comprehensive understanding of AI and prompt engineering. It is ideal for AI developers, data scientists, educators, and anyone interested in harnessing the full potential of AI models through effective prompting.
The certification covers principles of effective prompting, such as giving clear directions, formatting responses, providing examples, evaluating response quality, and fixing failing prompts. Participants will learn to apply these principles through practical exercises and real-life scenarios.
Obtaining the AI+ Prompt Engineer Level 1™ certification demonstrates proficiency in AI and prompt engineering, enhancing personal credibility and professional development. It equips individuals with the skills needed to lead AI-driven initiatives, making them valuable assets in the rapidly evolving field of AI.
Practical exercises include project-based learning sessions where participants work on real-world problems, designing and implementing AI prompts to solve specific tasks.