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AI Careers & Workforce Development

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
Price
NZ $0.00

All prices are in NZD, ex GST (15%).

At a Glance: Course + Exam Overview

Category AI Careers & Workforce Development Program Name: AI+ Prompt Engineer Level 1™
Exam Format 50 questions, 70% passing, 90 Minutes Duration:
  • Instructor-Led: 1 Day
  • Self-Paced: 8 hours of content

🤝 You’re never on your own — Parasol Concierge Support provides integration guidance and expert VA assistance so you can focus on mastering skills while we handle the setup details.

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

  1. Course Introduction Preview

  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

  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

  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

  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

  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

  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

  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

  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

Industry opportunities

Prompt Engineer

    Specializes in designing and optimizing AI prompts to improve model performance.

Interaction Designer

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

User Experience Engineer

    UX Engineers specialize in creating AI systems that prioritize user experience.

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

  • 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 DETAILS

Duration

90 Minutes

Passing Score

70%

Format

50 multiple-choice/multiple-response questions

EXAM BLUEPRINT

Foundations of Artificial Intelligence (AI) and Prompt Engineering 11%
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%

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

Instructor-Led Course

🚀 Learn directly from certified AI trainers in live, interactive sessions. Get real-time guidance, practical exercises, and the accountability of a structured classroom experience. Perfect for professionals who want expert support and a clear path to certification.

✨ At Parasol Virtual, we go beyond certification. Our team supports your learning journey with guidance, resources, and local assistance to ensure your success. You’re not learning alone — you’re part of a global community with local support.

Request Virtual Training

Self-Paced Online

  • ~6 hours of on-demand video lessons, e-book, and podcasts
  • Learn anywhere, anytime, with modular quizzes to track progress

Self-Paced Course

🌐 Study anytime, anywhere with 24/7 access to course materials, practice tests, and resources. Move at your own speed while still working towards globally recognized certification. Designed for busy learners who value flexibility without compromising quality.

✨ At Parasol Virtual, we go beyond certification. Our team supports your learning journey with guidance, resources, and local assistance to ensure your success. You’re not learning alone — you’re part of a global community with local support.

Purchase Self-Paced Course

TECHNOLOGIES USED

LangChain
LangChain
OpenAI's GPT-4
OpenAI's GPT-4