Expires in:

LEARNING PATH
LEARNING PATH
Generative AI Essentials
Generative AI Essentials
This path will help you turn generative AI into your competitive edge. Learn how LLMs work, master the art of prompt engineering, and unlock new ways to think, create, and lead with AI.
This path will help you turn generative AI into your competitive edge. Learn how LLMs work, master the art of prompt engineering, and unlock new ways to think, create, and lead with AI.
certificate available
8 hours
4 courses



Overview
From writing and coding to analytics and design, generative AI is completely revolutionizing the way that we work.
In this path, you’ll learn how to turn generative AI into your competitive advantage. We’ll start by unpacking how large language models (LLMs) work, what makes tools like ChatGPT, Gemini, and Claude so powerful, and how to build an AI-first mindset that blends human strengths with machine intelligence.
From there we'll explore the art and science of prompt engineering. We'll introduce our unique BRIDGE framework for crafting effective prompts, explore advanced techniques like chain-of-thought reasoning and multi-shot prompting, and share powerful use cases for accelerating research, writing, coding, and data analysis with AI.
Next, we’ll focus on what separates great AI users from the rest – critical thinking and problem solving. You’ll explore proven frameworks for structured reasoning, learn to identify bias and flawed logic, and develop the confidence to evaluate AI-generated outputs with clarity and precision.
Finally, we’ll confront the ethical realities of this new frontier. Through real-world examples and case studies, you’ll uncover the risks and responsibilities that come with AI adoption, and learn how to use AI responsibly and ethically in your own work.
Along the way, you’ll apply your skills to hands-on, real-world projects and business cases. You'll practice writing prompts, analyzing model outputs, and solving complex problems with the help of generative AI.
By the end, you’ll have the skills you need to elevate your thinking, expand your reach, and multiply your impact with AI.
Skills You'll Learn
AI
Who Should Take This Path?
Learners who want to understand how LLMs work, master the art of prompt engineering, and build an AI-first mindset
Professionals who want to strengthen their reasoning, problem-framing, and analytical thinking skills to make smarter, more confident decisions
Leaders who want to stay ahead of emerging trends and drive responsible, effective AI adoption within their organizations
Anyone looking to combine human and machine intelligence to amplify their impact at work
Path Requirements
This is an entry-level path (no prerequisites)
Meet Your Instructors

Chris Dutton
Founder & CPO
Chris is an EdTech entrepreneur and best-selling Data Analytics instructor. As Founder and Chief Product Officer at Maven Analytics, his work has been featured by USA Today, Business Insider, Entrepreneur and the New York Times, reaching more than 1,000,000 students around the world.

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.

Katy McMahon
Consulting & Technology Leader
Dynamic Professional Services and Technology Leader dedicated to passionately driving customer success, technical program management, and technology strategy with a focus on empowering innovative growth. 12+ years of experience in consulting, data and analytics, cloud computing, and information science. Diverse multidisciplinary background drives an exceptional ability to translate and present complex technical concepts to C-level executives and technical experts.
Overview
From writing and coding to analytics and design, generative AI is completely revolutionizing the way that we work.
In this path, you’ll learn how to turn generative AI into your competitive advantage. We’ll start by unpacking how large language models (LLMs) work, what makes tools like ChatGPT, Gemini, and Claude so powerful, and how to build an AI-first mindset that blends human strengths with machine intelligence.
From there we'll explore the art and science of prompt engineering. We'll introduce our unique BRIDGE framework for crafting effective prompts, explore advanced techniques like chain-of-thought reasoning and multi-shot prompting, and share powerful use cases for accelerating research, writing, coding, and data analysis with AI.
Next, we’ll focus on what separates great AI users from the rest – critical thinking and problem solving. You’ll explore proven frameworks for structured reasoning, learn to identify bias and flawed logic, and develop the confidence to evaluate AI-generated outputs with clarity and precision.
Finally, we’ll confront the ethical realities of this new frontier. Through real-world examples and case studies, you’ll uncover the risks and responsibilities that come with AI adoption, and learn how to use AI responsibly and ethically in your own work.
Along the way, you’ll apply your skills to hands-on, real-world projects and business cases. You'll practice writing prompts, analyzing model outputs, and solving complex problems with the help of generative AI.
By the end, you’ll have the skills you need to elevate your thinking, expand your reach, and multiply your impact with AI.
Skills You'll Learn
AI
Who Should Take This Path?
Learners who want to understand how LLMs work, master the art of prompt engineering, and build an AI-first mindset
Professionals who want to strengthen their reasoning, problem-framing, and analytical thinking skills to make smarter, more confident decisions
Leaders who want to stay ahead of emerging trends and drive responsible, effective AI adoption within their organizations
Anyone looking to combine human and machine intelligence to amplify their impact at work
Path Requirements
This is an entry-level path (no prerequisites)
Meet Your Instructors

Chris Dutton
Founder & CPO
Chris is an EdTech entrepreneur and best-selling Data Analytics instructor. As Founder and Chief Product Officer at Maven Analytics, his work has been featured by USA Today, Business Insider, Entrepreneur and the New York Times, reaching more than 1,000,000 students around the world.

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.

Katy McMahon
Consulting & Technology Leader
Dynamic Professional Services and Technology Leader dedicated to passionately driving customer success, technical program management, and technology strategy with a focus on empowering innovative growth. 12+ years of experience in consulting, data and analytics, cloud computing, and information science. Diverse multidisciplinary background drives an exceptional ability to translate and present complex technical concepts to C-level executives and technical experts.
Overview
From writing and coding to analytics and design, generative AI is completely revolutionizing the way that we work.
In this path, you’ll learn how to turn generative AI into your competitive advantage. We’ll start by unpacking how large language models (LLMs) work, what makes tools like ChatGPT, Gemini, and Claude so powerful, and how to build an AI-first mindset that blends human strengths with machine intelligence.
From there we'll explore the art and science of prompt engineering. We'll introduce our unique BRIDGE framework for crafting effective prompts, explore advanced techniques like chain-of-thought reasoning and multi-shot prompting, and share powerful use cases for accelerating research, writing, coding, and data analysis with AI.
Next, we’ll focus on what separates great AI users from the rest – critical thinking and problem solving. You’ll explore proven frameworks for structured reasoning, learn to identify bias and flawed logic, and develop the confidence to evaluate AI-generated outputs with clarity and precision.
Finally, we’ll confront the ethical realities of this new frontier. Through real-world examples and case studies, you’ll uncover the risks and responsibilities that come with AI adoption, and learn how to use AI responsibly and ethically in your own work.
Along the way, you’ll apply your skills to hands-on, real-world projects and business cases. You'll practice writing prompts, analyzing model outputs, and solving complex problems with the help of generative AI.
By the end, you’ll have the skills you need to elevate your thinking, expand your reach, and multiply your impact with AI.
Skills You'll Learn
AI
Who Should Take This Path?
Learners who want to understand how LLMs work, master the art of prompt engineering, and build an AI-first mindset
Professionals who want to strengthen their reasoning, problem-framing, and analytical thinking skills to make smarter, more confident decisions
Leaders who want to stay ahead of emerging trends and drive responsible, effective AI adoption within their organizations
Anyone looking to combine human and machine intelligence to amplify their impact at work
Path Requirements
This is an entry-level path (no prerequisites)
Meet Your Instructors

Chris Dutton
Founder & CPO
Chris is an EdTech entrepreneur and best-selling Data Analytics instructor. As Founder and Chief Product Officer at Maven Analytics, his work has been featured by USA Today, Business Insider, Entrepreneur and the New York Times, reaching more than 1,000,000 students around the world.

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.

Katy McMahon
Consulting & Technology Leader
Dynamic Professional Services and Technology Leader dedicated to passionately driving customer success, technical program management, and technology strategy with a focus on empowering innovative growth. 12+ years of experience in consulting, data and analytics, cloud computing, and information science. Diverse multidisciplinary background drives an exceptional ability to translate and present complex technical concepts to C-level executives and technical experts.
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FOR INDIVIDUALS
Master modern data skills
Start learning for Free. No credit card required. Master skills in data literacy, Excel, Power BI, SQL, Python and more.

FOR COMPANIES & TEAMS
Train your team in data
Create your team account today, request a demo, or start with a team assessment today.
FOR INDIVIDUALS
Master modern data skills
Start learning for Free. No credit card required. Master skills in data literacy, Excel, Power BI, SQL, Python and more.

FOR COMPANIES & TEAMS
Train your team in data
Create your team account today, request a demo, or start with a team assessment today.
FOR INDIVIDUALS
Master modern data skills
Start learning for Free. No credit card required. Master skills in data literacy, Excel, Power BI, SQL, Python and more.

FOR COMPANIES & TEAMS
Train your team in data
Create your team account today, request a demo, or start with a team assessment today.
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