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AI+ Prompt Engineer Level 1™

  • Foundational Knowledge: Covers generative AI, ML, NLP, and neural networks essentials
  • Hands-on Learning: Offers practical training in designing and optimizing prompts
  • Industry-Relevant Skills: Prepares learners to build effective AI solutions across sectors
  • Prompting Expertise: Certifies participants to craft impactful, domain-specific prompts
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AI+ Prompt Engineer Level 1™
Price: $295.00

At a Glance: Course + Exam Overview

Category AI Essentials
Program Name AI+ Prompt Engineer Level 1™
Duration
  • Instructor-Led: 1 Day
  • Self-Paced: 8 hours of content
Prerequisites
    • Understand AI basics and how AI is used – no technical skills required.
    • Willingness to think creatively to generate ideas and use AI tools effectively.
Exam Format 50 questions, 70% passing, 90 Minutes

What You'll Learn

  • Foundations of Artificial Intelligence (AI) and Prompt Engineering
    Introduction to AI, its history, machine learning basics, deep learning, neural networks, and NLP.
  • Principles of Effective Prompting
    Learn the essential principles of effective prompting, including giving directions, formatting responses.
  • Introduction to AI Tools and Models
    Explore AI tools like ChatGPT, GPT-4, DALL-E 2, and specialized models, as well as understanding their practical applications.
  • Mastering Prompt Engineering Techniques
    Focus on advanced prompting techniques such as zero-shot, few-shot, chain-of-thought, prompt chaining.
  • Mastering Image Model Techniques
    Study the use of image models, style modifiers, image generation techniques, and practical applications.
  • Project-Based Learning Session
    Engage in hands-on projects to apply AI concepts, select themes, design AI projects, integrate text and image models.
  • Ethical Considerations and Future of AI
    Understand AI ethics, bias and fairness in models, privacy concerns, data security, transparency in AI.

Certification Modules

Course Overview

  1. Course Introduction Preview

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

  1. 1.1 Introduction to Artificial Intelligence Preview
  2. 1.2 History of AI Preview
  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 PromptingPreview
  2. 2.2 Giving DirectionsPreview
  3. 2.3 Formatting ResponsesPreview
  4. 2.4 Providing Examples
  5. 2.5 Evaluating Response Quality
  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 Preview
  2. 3.2 Deep Dive into ChatGPT Preview
  3. 3.3 Exploring GPT-4 Preview
  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
  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
  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

Optional Module: AI Agents for Prompt Engineering

  1. 1. What Are AI Agents
  2. 2. Applications and Trends of AI Agents for Prompt Engineers
  3. 3. How Does an AI Agent Work
  4. 4. Core Characteristics of AI Agents
  5. 5. Importance of AI Agents
  6. 6. Types of AI Agents

Finish the course and get certified

Certificate 1

Industry Opportunities

  • Prompt Engineer
    Prompt Engineer
    Specializes in designing and optimizing AI prompts to improve model performance.
  • Interaction Designer
    Interaction Designer
    Focuses on designing the user experience (UX) by creating intuitive interactions between users and AI systems.
  • User Experience Engineer
    User Experience Engineer
    UX Engineers specialize in creating AI systems that prioritize user experience.
  • Communication Developer
    Communication Developer
    Communication Developers focus on building AI-driven systems that support communication tasks, such as chatbots or virtual assistants.

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.

Completing the certification will equip you with essential skills in industries like AI content generation, customer support automation, and enterprise AI optimization.

You will apply AI and prompt engineering skills to various projects, improving your problem-solving, communication, and collaboration abilities.

Prerequisites

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Exam Details

Duration

90 Minutes

Passing Score

70%

Format

50 multiple-choice/multiple-response questions

Exam Blueprint

Foundations of Artificial Intelligence (AI) and Prompt Engineering 10%
Principles of Effective Prompting 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 and Future of AI 12%
Course Price: $295.00
Instructor-Led (Live Virtual/Classroom)
  • 1 day of intensive training with live demos
  • Real-time Q&A and peer collaboration
  • Led by AI Certified Trainers and delivered through Authorized Training Partners
Self-Paced Online
  • ~6 hours of on-demand video lessons, e-book, and podcasts
  • Learn anywhere, anytime, with modular quizzes to track progress
Purchase Self-Paced Course

Core AI Tools Covered

LangChain

LangChain

OpenAI's GPT-4

OpenAI's GPT-4