Earn $96K* per year as an AI Prompt Engineer Trainer

AI Prompt Engineers are skilled in formulating prompts that access AI for innovation and problem-solving. You can earn an income as an AI Prompt Engineer Trainer by offering our AI Applied Prompt Engineer Course to others, without needing any prior experience in artificial intelligence. 

Our streamlined process includes: 

• A 2-day Train the Trainer Workshop to learn how to teach the 60 day AI Applied Prompt Engineer Course to others.

• The chance to provide AI training directly, allowing you to earn a profitable income by teaching the course. No need to learn the course beforehand, you will naturally master it as you teach others.  

No AI expertise needed! Our 2-day Train the Trainer Workshop prepares you to offer the sought-after AI Applied Prompt Engineer Course confidently. The course uses ChatGPT for an engaging, practical learning experience with Socratic questioning, problem-based learning and real-world scenarios, encouraging learners' curiosity and self-directed exploration. As their guide, you will mentor them through the content, potentially adding $96,000* annually to your income as an AI Prompt Engineer Trainer. 

*Potential income of $96 000 per year based on:

• Four 12-week courses per year.
• Each course has 2 streams, with 10 students per stream.
• The recommended course fee is $1200 per student.
• Training time only 2 hours a day per stream, 5 days a week.

Perfect for business coaches, trainers and mentors, or educators and individuals who want to teach in-demand AI skills. 

Duration: 

• 2 days (7 hours including 1-hour lunch break per day)
• Our workshops are offered internationally, tailored to demand. To accommodate our global audience, we have not included fixed days and times, allowing flexibility to suit various time zones. 
• Upon purchase, we will collaborate with you to find the optimal day and time  based on your location and current demand. We strive to schedule the workshop within 7 days of purchase. 

Learning Requirements:

• Stable internet connection
• Laptop/computer/mobile phone
• Subscription to ChatGPT Plus ($22 USD per month), payable directly to OpenAI

Outcome: Participants will receive an AI Prompt Engineer Trainer certification that signifies their capability to teach the material effectively. 

Train the Trainer Workshop - $1200

Includes:

• 2-day Workshop: Valued at $900, learn to teach the AI Applied Prompt Engineer Course. 
• Course Materials: Valued at $300, all the instructions, activities, exercises, and homework, you will need to teach the 60-day AI Applied Prompt Engineer Course to others.

Special Offer:

• The workshop not only prepares you to deliver the course competently but also unlocks a 50% discount on the course materials. 

Course Only Option - $600

• Opted for just the AI Applied Prompt Engineer Course materials without the Train the Trainer Workshop. Contact us via aicourses@bizinsights.au for more information.

Morning Session (3 hours)

• Rethinking the Role of the Trainer: Start by understanding the shift from being a traditional trainer to becoming a facilitator of learning. You will learn how to guide others in framing questions, interpreting AI responses, and critically evaluating information, ensuring a deeper and more meaningful learning experience. 
• Exploring AI and Prompt Engineering with ChatGPT: Through an interactive session, you will explore the foundational concepts of AI and prompt engineering using ChatGPT. Learn how to create queries that delve into the history, applications, and ethical considerations of AI technologies, enriching your understanding and ability to teach these concepts. 
• Facilitating Inquiry-Based Learning: Discover strategies for fostering an environment that encourages curiosity and self-exploration. You will practice Socratic questioning, problem-based learning, and use real-world scenarios to stimulate inquiry and active learning.

Afternoon Session (3 hours)

• Course Curriculum Deep Dive: Get an in-depth look at the course curriculum you'll be teaching, including key learning outcomes and module objectives. This session focuses on leveraging ChatGPT and other AI tools as central resources for learning, providing you with a solid foundation to build upon. 
• Ethical Considerations and AI Limitations: Engage with ChatGPT to navigate the complex ethical landscape of AI, including discussions on bias, privacy, and the implications for the future of work. You will learn how to encourage students to explore these issues critically, forming their own informed viewpoints. 

 Morning Session (3 hours)

• Hands-On Practice with AI-Driven Learning Activities: Put theory into practice by delivering a mini-lesson from the course curriculum, emphasising how learning outcomes are achieved through effective questioning of ChatGPT. Peer feedback focuses on the facilitation technique and the ability to inspire autonomous exploration. 
• Collaboration and Project-Based Learning with AI: Learn effective strategies to nurture group dynamics in an AI-led learning environment. Discover how to support collaborative projects that require students to leverage AI for research, design, and project execution, enhancing teamwork and problem-solving skills. 

Afternoon Session (3 hours)

• Developing Empathy and Engagement in an AI-Driven Classroom: Acquire techniques to ensure every student feels supported and motivated, especially in settings where AI is a primary information source. This session covers creating an inclusive learning environment that appreciates diverse perspectives and learning styles 

Final Reflections and Next Steps: As we conclude, you will reflect on how to continue growing your knowledge in AI and educational technologies. We will discuss strategies for mutual support in implementing these innovative teaching methodologies.

Become part of a vibrant community of trainers sharing experiences, challenges, and successes. This network will support you as you embark on teaching the AI Applied Prompt Engineer Course, fostering a collaborative and supportive learning ecosystem.

Upon completing the Train the Trainer Workshop, you will receive an AI Prompt Engineer Trainer Certification that signifies your competency to teach the AI Applied Prompt Engineer Course effectively.

Please note: We do not teach the 60-day AI Applied Prompt Engineering Course, it is available for you to teach others. All course materials are included in the Train the Trainer Workshop.

Overview

The AI Applied Prompt Engineer Course by Biz Insights Au allows business coaches, trainers, mentors, educators, and individuals to add advanced AI training to the services they provide. 

Throughout the course, emphasis is placed on practical experience and portfolio development, ensuring participants not only learn theoretical concepts but also apply them in real-world scenarios. The goal is to equip participants with the skills to become competent AI Prompt Engineers, ready to tackle challenges and innovate in the field of artificial intelligence.

This comprehensive 60-day AI Applied Prompt Engineering course utilises ChatGPT to provide an immersive, hands-on learning experience. It focuses on learners building a thorough portfolio that demonstrates their ability to use AI for valuable insights, helping them find employment or improve their professional services. 

Course Structure

• Duration: 60 days
• Total Contact Hours: 120 hours (2 hours per day)
• Mode of Delivery: Suitable for both face-to-face and online, via video conferencing, modes
• Key Outcome: Development of a comprehensive portfolio demonstrating AI Prompt Engineering competence.

Learning Requirements

• Stable internet connection
• Laptop/computer/mobile phone
• Subscription to ChatGPT Plus ($22 USD per month), payable directly to OpenAI

The course encourages an immersive learning experience, moving away from traditional lectures to an applied learning approach using ChatGPT. Each week introduces new concepts, from the basics of AI and prompt engineering to advanced applications in various industries. The creation and continuous development of a portfolio throughout the course enable participants to demonstrate their skills, preparing them for employment or advanced projects.

Week 1-2: 

Introduction to AI and ChatGPT

• Objective: Understand the basics of AI, machine learning, and the technology behind models like GPT-3 and GPT-4. Learn the foundational skills of effective communication with AI through prompts.
• Activities:
  • Hands-on exercises to interact with ChatGPT, focusing on creating simple queries and interpreting responses.
  • Group discussions on the ethical considerations in AI use.
  • Introduction to AI history and foundational concepts using prompts to explore topics.
• Daily breakdown:
  • Day 1: The Technology Behind Artificial Intelligence
  • Day 2: Introduction to Prompt Engineering Part 1
  • Day 3: Introduction to Prompt Engineering Part 2
  • Day 4: Communicating with ChatGPT
  • Day 5: Ethical Considerations in AI
  • Day 6: GPTs vs APIs vs Prompt Engineering
  • Day 7: Exploring the Capabilities and Limitations of ChatGPT
  • Day 8: Portfolio Development
  • Day 9: Advanced Communication with AI
  • Day 10: Week 2 Wrap-up and Portfolio Development

Week 3-4: 

Mastering Prompt Engineering

• Objective: Deep dive into the art and science of prompt engineering—how to ask the right questions to get the desired answer.
• Activities:
  • Exercises on refining prompts to improve clarity, specificity, and effectiveness.
  • Group projects to design prompts for complex queries, involving research, entertainment, and creative writing.
  • Peer feedback sessions on prompt construction and response analysis.
• Daily breakdown:
  • Day 11: Advanced Techniques in Clarity and Specificity
  • Day 12: Contextual Prompting and Continuity
  • Day 13: Creativity and Innovation in Prompt Engineering
  • Day 14: Group Project Kick-off - Multidisciplinary Applications
  • Day 15: Peer Feedback on Prompt Construction
  • Day 16: Group Project Implementation
  • Day 17: Response Analysis and Refinement
  • Day 18: Group Project Presentations
  • Day 19: Advanced Topics in Prompt Engineering
  • Day 20: Week 4 Wrap-up and Portfolio Expansion

Week 5-6: 

Creativity and Problem Solving with AI

• Objective: Explore the use of AI in creative processes and problem-solving scenarios.
• Activities:
  • Workshops on using AI for generating creative content (stories, poetry, art concepts).
  • Problem-solving sessions, where students use ChatGPT to tackle real-world problems.
  • Case studies on innovative uses of AI in various industries.
• Daily breakdown:
  • Day 21: Introduction to AI in Creative Writing
  • Day 22: Designing with AI
  • Day 23: Music and AI
  • Day 24: AI in Video and Film
  • Day 25: Review and Portfolio Development
  • Day 26: AI in Business and Entrepreneurship
  • Day 27: AI in Healthcare
  • Day 28: AI in Finance
  • Day 29: AI in Education
  • Day 30: Problem-Solving Project Presentations

Week 7-8: 

Advanced Topics in AI

• Objective: Cover advanced AI topics such as fine-tuning, AI ethics, and the future of AI technology.
• Activities:
  • Discussions on AI bias, fairness, and transparency.
  • Projects on envisaging future AI applications and their impact on society.
  • Hands-on sessions with more complex AI tools and technologies.
• Daily breakdown:
  • Day 31: Introduction to AI Fine-Tuning
  • Day 32: AI Bias and Fairness
  • Day 33: Transparency, Explainability, and AI Ethics and Society
  • Day 34: Review Portfolio and Expansion
  • Day 35: The Future of AI Technology
  • Day 36: AI in Complex Systems
  • Day 37: Integrating AI with Other Technologies
  • Day 38: AI and Global Challenges
  • Day 39: Project Development on Future AI Applications
  • Day 40: Envisioning the Future with AI

Week 9-10: 

Advanced Applications of AI in Content Generation, Analysis, and Accessibility

• Objective: Master the use of AI for creative content generation, information extraction, and analysis, while exploring AI's role in translation, localisation, search enhancement, and making content more accessible.
• Activities:
  • Utilising AI for automated writing of articles, blogs, creative stories, and poems, alongside generating code snippets for development projects.
  • Employing AI to extract data from unstructured text, perform sentiment analysis, and develop comprehensive buyer personas using ChatGPT for targeted marketing strategies.
  • Leveraging AI for translating text across languages and localising content to meet cultural and linguistic demands of various audiences.
  • Enhancing natural language search capabilities and summarising long documents into concise, informative abstracts using AI.
  • Applying AI for text-to-speech and speech-to-text conversions to improve content accessibility, along with simplifying complex information for broader audience understanding.
  • Utilising AI in the analysis of legal and medical documents for key information extraction and conducting market analysis and forecasting to inform business strategies.
• Daily breakdown:
  • Day 41: Automating Content Creation for Marketing
  • Day 42: Creative Writing with AI for Marketing
  • Day 43: Using ChatGPT for Buyer Persona Development
  • Day 44: Data Extraction from Text
  • Day 45: Sentiment Analysis
  • Day 46: Language Translation and Localization
  • Day 47: Enhancing Search and Summarization
  • Day 48: Improving Accessibility with AI
  • Day 49: AI in Legal and Medical Document Analysis, Market Analysis
  • Day 50: Using AI to Read and Interpret Spreadsheets

 Week 11-12: 

Portfolio Development and Career Preparation

• Objective: Finalise personal portfolios showcasing prompt engineering skills and prepare for career opportunities.
• Activities:
  • Workshops on portfolio presentation, including selecting work samples, writing case studies, and digital presentation skills.
  • Mock interviews and resume-building sessions focused on AI-related roles.
  • Final project presentations, where students showcase their most significant work from the course.
• Daily breakdown:
  • Day 51: Writing Effective Case Studies
  • Day 52: Digital Presentation Skills
  • Day 53: Portfolio Workshop
  • Day 54: Peer Review and Feedback
  • Day 55: Preparing for the Final Presentation
  • Day 56: Understanding the AI Job Market for Prompt Engineering
  • Day 57: Resume and LinkedIn Workshop
  • Day 58: Mock Interviews
  • Day 59: Networking and Job Search Strategies
  • Day 60: Final Project Presentations and Course Wrap-up

Throughout the course, emphasis is placed on practical experience and portfolio development, ensuring participants not only learn theoretical concepts but also apply them in real-world scenarios. The goal is to equip participants with the skills to become competent AI Prompt Engineers, ready to tackle challenges and innovate in the field of artificial intelligence.