Expires in:
FREE Course
Self-paced course
Self-paced course
Prompt Engineering Masterclass
Prompt Engineering Masterclass
Course Description
Generative AI has unlocked incredible potential, but its true power lies in how you communicate with it. As Andrej Karpathy famously said: “Prompt engineering is programming in English; your ability to express intent defines the machine’s ability to deliver value”
In this course, we’ll start by reviewing the basics of generative AI and LLMs – how they interpret instructions, generate responses, and learn from context. We’ll introduce the concept of tokens and context windows, and demonstrate how small changes to your prompting strategy can produce dramatically different results.
Next we’ll introduce our unique BRIDGE framework – a six-part system for building prompts that deliver consistent and accurate results. We’ll walk through each component step-by-step, and showcase the importance of background context, requests, inputs, deliverables, guardrails and evaluation. We’ll also share helpful resources like prompt templates and checklists that you can apply to your own work.
From there we’ll share best practices to help you maximize your AI productivity, like leveraging stored memories, projects, and custom GPTs, and preview some enterprise capabilities for additional privacy and security. We’ll also showcase some advanced prompting techniques like chain of thought, branching, XML tagging, multi-shot prompting and more.
Last but not least, we’ll practice applying the skills we’ve built to a final course project to showcase the power of thoughtful prompt engineering.
So whether you’re a data professional, a business leader, or just looking to level up your prompting skills, this course is for you. We’ll help you cut through the hype, and build the practical AI skills you need to make smarter, more confident decisions.
Course Description
Generative AI has unlocked incredible potential, but its true power lies in how you communicate with it. As Andrej Karpathy famously said: “Prompt engineering is programming in English; your ability to express intent defines the machine’s ability to deliver value”
In this course, we’ll start by reviewing the basics of generative AI and LLMs – how they interpret instructions, generate responses, and learn from context. We’ll introduce the concept of tokens and context windows, and demonstrate how small changes to your prompting strategy can produce dramatically different results.
Next we’ll introduce our unique BRIDGE framework – a six-part system for building prompts that deliver consistent and accurate results. We’ll walk through each component step-by-step, and showcase the importance of background context, requests, inputs, deliverables, guardrails and evaluation. We’ll also share helpful resources like prompt templates and checklists that you can apply to your own work.
From there we’ll share best practices to help you maximize your AI productivity, like leveraging stored memories, projects, and custom GPTs, and preview some enterprise capabilities for additional privacy and security. We’ll also showcase some advanced prompting techniques like chain of thought, branching, XML tagging, multi-shot prompting and more.
Last but not least, we’ll practice applying the skills we’ve built to a final course project to showcase the power of thoughtful prompt engineering.
So whether you’re a data professional, a business leader, or just looking to level up your prompting skills, this course is for you. We’ll help you cut through the hype, and build the practical AI skills you need to make smarter, more confident decisions.
Course Content
2 course hours
4 quizzes
4 skill assessments
3 CPE credits
Who should take this course
Individuals who want to master prompt engineering and learn how to communicate clearly and effectively with AI systems
Leaders looking to guide their teams in using AI effectively, improving accuracy, creativity, and consistency in their outputs
Anyone who wants to turn AI into a powerful collaborator, and learn proven frameworks to produce reliable, high-quality results
Meet your instructors
Chris Bruehl
Analytics Engineer & Lead Python Instructor
Chris is a Python expert, certified Statistical Business Analyst, and seasoned Data Scientist, having held senior-level roles at large insurance firms and financial service companies. He earned a Masters in Analytics at NC State's Institute for Advanced Analytics, where he founded the IAA Python Programming club.
Included learning paths
Course credential
You’ll earn the course certification by completing this course and passing the assessment requirements
Prompt Engineering Masterclass
Prompt Engineering Masterclass
CPE Accreditation
CPE Credits:
3
Field of Study:
Information Technology
Delivery Method:
QAS Self Study
Maven Analytics LLC is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have the final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.
For more information regarding administrative policies such as complaints or refunds, please contact us at admin@mavenanalytics.io or (857) 256-1765.
*Last Updated: May 25, 2023
Course Description
Generative AI has unlocked incredible potential, but its true power lies in how you communicate with it. As Andrej Karpathy famously said: “Prompt engineering is programming in English; your ability to express intent defines the machine’s ability to deliver value”
In this course, we’ll start by reviewing the basics of generative AI and LLMs – how they interpret instructions, generate responses, and learn from context. We’ll introduce the concept of tokens and context windows, and demonstrate how small changes to your prompting strategy can produce dramatically different results.
Next we’ll introduce our unique BRIDGE framework – a six-part system for building prompts that deliver consistent and accurate results. We’ll walk through each component step-by-step, and showcase the importance of background context, requests, inputs, deliverables, guardrails and evaluation. We’ll also share helpful resources like prompt templates and checklists that you can apply to your own work.
From there we’ll share best practices to help you maximize your AI productivity, like leveraging stored memories, projects, and custom GPTs, and preview some enterprise capabilities for additional privacy and security. We’ll also showcase some advanced prompting techniques like chain of thought, branching, XML tagging, multi-shot prompting and more.
Last but not least, we’ll practice applying the skills we’ve built to a final course project to showcase the power of thoughtful prompt engineering.
So whether you’re a data professional, a business leader, or just looking to level up your prompting skills, this course is for you. We’ll help you cut through the hype, and build the practical AI skills you need to make smarter, more confident decisions.
Course Description
Generative AI has unlocked incredible potential, but its true power lies in how you communicate with it. As Andrej Karpathy famously said: “Prompt engineering is programming in English; your ability to express intent defines the machine’s ability to deliver value”
In this course, we’ll start by reviewing the basics of generative AI and LLMs – how they interpret instructions, generate responses, and learn from context. We’ll introduce the concept of tokens and context windows, and demonstrate how small changes to your prompting strategy can produce dramatically different results.
Next we’ll introduce our unique BRIDGE framework – a six-part system for building prompts that deliver consistent and accurate results. We’ll walk through each component step-by-step, and showcase the importance of background context, requests, inputs, deliverables, guardrails and evaluation. We’ll also share helpful resources like prompt templates and checklists that you can apply to your own work.
From there we’ll share best practices to help you maximize your AI productivity, like leveraging stored memories, projects, and custom GPTs, and preview some enterprise capabilities for additional privacy and security. We’ll also showcase some advanced prompting techniques like chain of thought, branching, XML tagging, multi-shot prompting and more.
Last but not least, we’ll practice applying the skills we’ve built to a final course project to showcase the power of thoughtful prompt engineering.
So whether you’re a data professional, a business leader, or just looking to level up your prompting skills, this course is for you. We’ll help you cut through the hype, and build the practical AI skills you need to make smarter, more confident decisions.
Full course curriculum coming soon
Meet your instructors
Chris Bruehl
Analytics Engineer & Lead Python Instructor
Chris is a Python expert, certified Statistical Business Analyst, and seasoned Data Scientist, having held senior-level roles at large insurance firms and financial service companies. He earned a Masters in Analytics at NC State's Institute for Advanced Analytics, where he founded the IAA Python Programming club.
Included learning paths
Course credential
You’ll earn the course certification by completing this course and passing the assessment requirements
Prompt Engineering Masterclass
Prompt Engineering Masterclass
CPE Accreditation
CPE Credits:
3
Field of Study:
Information Technology
Delivery Method:
QAS Self Study
Maven Analytics LLC is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have the final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.
For more information regarding administrative policies such as complaints or refunds, please contact us at admin@mavenanalytics.io or (857) 256-1765.
*Last Updated: May 25, 2023
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