Introduction to Generative AI & Prompt Engineering
This beginner level course introduces learners to the fundamentals of generative AI and applied prompt engineering. It covers the basics of using large language models (LLMs) for business automation, product design, and workflows, along with foundational prompt design frameworks and evaluation techniques.
Learning Objectives
To equip learners with foundational knowledge and skills in generative AI and prompt engineering.
Chapters
Explore how generative AI can be leveraged for automating business processes and improving efficiency.
Goal:Learn the applications of generative AI in automating business processes.
Study how generative AI can streamline marketing efforts.
Learn about AI applications in automating financial operations.
Explore AI's role in automating human resource processes.
Examine the advantages and challenges of implementing AI in business automation.
Analyze real-world examples of AI-driven business automation.
Predict future trends in business automation using AI.
Basics of business process automation and its importance.
Explore how AI is used to automate various business functions.
Learn how generative AI automates customer service tasks.
Explore AI applications in automating supply chain processes.
Discover how generative AI can be applied to enhance product design processes and innovation.
Goal:Understand the role of generative AI in improving product design.
Learn the basics of product design and its importance.
Explore how AI is transforming the product design industry.
Introduction to generative design and its techniques.
Learn how AI aids in developing product concepts.
Explore AI's role in creating product prototypes.
Study AI's impact on designing user experiences.
Examine case studies of AI-enhanced product design.
Identify challenges faced when integrating AI in product design.
Explore potential future developments in AI-driven product design.
Get to know tools available for product designers using AI.
Learn the fundamental concepts of generative AI and how it can be applied in various industries.
Goal:Understand the basics of generative AI and its applications.
An introduction to generative AI and its distinction from other AI types.
Identify common challenges faced when implementing generative AI.
Explore the evolution of generative AI over the years.
Overview of how businesses utilize generative AI.
Introduction to the technologies behind generative AI models.
Understand the ethical implications of using generative AI.
Study real-world examples of generative AI applications.
Explore potential future developments in generative AI.
Familiarize with popular tools used in generative AI development.
Learn the basic terminology used in generative AI.
Learn the basics of prompt engineering and how it is crucial for interacting with LLMs effectively.
Goal:Understand the fundamentals of prompt engineering.
Introduction to the concept of prompt engineering.
Explore different types of prompts used in generative AI.
Learn the principles of designing effective prompts.
Introduction to frameworks that guide prompt engineering.
Learn how to evaluate prompts for effectiveness.
Identify common mistakes made in prompt engineering and how to avoid them.
Introduction to the concept of prompt tuning for better results.
Study case studies to see prompt engineering in action.
Learn about designing prompts for different types of LLMs.
Explore future trends in prompt engineering.
Learn how generative AI can integrate into and enhance organizational workflows to boost efficiency and innovation.
Goal:Understand how to incorporate generative AI into workflows.
Basics of workflows and their importance in organizations.
Explore how AI can improve workflow management.
Learn techniques for optimizing workflows using AI.
Study how AI can enhance decision-making processes in workflows.
Explore AI's role in improving collaboration and communication in workflows.
Examine real-world examples of AI-enhanced workflow optimization.
Identify challenges in integrating AI into existing workflows.
Predict future trends in AI-enhanced workflows.
Familiarize with tools that assist in AI-driven workflow management.
Learn how to design workflows that are ready for AI integration.
Understand the criteria and methods used to evaluate the effectiveness of prompts in generative AI systems.
Goal:Learn how to evaluate and improve prompts effectively.
Learn why evaluation metrics are crucial in prompt engineering.
Explore common metrics used to evaluate prompt effectiveness.
Learn how to design strategies for evaluating prompt effectiveness.
Study the differences between quantitative and qualitative evaluation methods.
Learn how to use evaluation feedback to improve prompt design.
Identify challenges faced when evaluating prompt effectiveness.
Understand the role of iteration in improving prompt quality.
Examine case studies that highlight effective prompt evaluation.
Learn best practices for evaluating prompts in generative AI.
Explore future trends in the evaluation of AI prompts.
Engage in practical exercises to apply generative AI concepts and prompt engineering skills in simulated scenarios.
Goal:Apply learned concepts in practical, real-world scenarios.
Practice designing prompts for chatbot applications.
Apply AI techniques in generating creative content.
Participate in a workflow optimization exercise using AI.
Engage in a simulation for AI-enhanced product design.
Take on a challenge to apply AI in automating business processes.
Exercise on evaluating and improving prompt designs.
Design a marketing campaign using AI tools.
Practice using AI tools for collaborative tasks.
Analyze a case study to identify AI application strategies.
Plan for future skill development in AI technologies.
Summarize the key learnings from the course and explore further learning opportunities in generative AI and prompt engineering.
Goal:Conclude the course and identify next learning steps.
Review the key concepts covered in the course.
Identify the main takeaways from the course.
Explore further learning opportunities in AI.
Provide resources for further study in generative AI.
Discuss career paths available in AI and prompt engineering.
Learn about networking opportunities in the AI community.
Provide feedback on the course and discuss areas for improvement.
Learn how to stay updated with the latest AI trends.
Start building a portfolio to showcase AI skills.
Reflect on the learning journey and future aspirations.
Realtime audio conversation for interactive session.
Interactive realtime chat session.
Live whiteboard explanation and collaboration.
Real-time wide variety of examples.
Continuous assessment and feedback.
Progress monitoring and record progress journey.
Broadcast session with larger audience for free.
Attend audience queries and provide responses.