AI Applied Prompt Engineer Course

Please note: We do not teach the 60-day AI Applied Prompt Engineering Course, it is available for you to purchase and teach others. 

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.

For pricing and or more information please contact us at sales@bizinsights.au.