Expires in:
FREE Course
Self-paced course
Self-paced course
Gen AI Essentials
Gen AI Essentials
Course Description
AI is transforming the way we live and work, unlocking superhuman speed, scale, and creativity. From writing and coding to analytics and design, tools like ChatGPT, Gemini and Claude are redefining what’s possible.
In this course, we’ll explore what it means to develop an AI-first mindset. We’ll talk about the risks and realities of using large language models, and how to combine the unique strengths of humans and machines to drive better results.
We’ll also confront some of the complex ethical realities of this new world – from bias and ownership to privacy and fraud – and break down the exact skills you need to become an AI-ready professional.
Next we’ll lay the foundation and demystify terms like generative AI, deep learning, LLMs and GPTs, and explain how this technology actually works (and why it feels like magic). We’ll also compare common types of AI, including standalone apps, embedded models and autonomous agents. From there we’ll explore the fast-moving AI landscape, help you get up and running with some of the most common generative AI tools, and share helpful frameworks for selecting the best options based on your budget and goals.
Finally, we’ll roll up our sleeves and start putting these tools to use. We’ll demonstrate how to craft effective prompts to produce accurate and consistent results, then explore some powerful real-world use cases, like generating and translating code, debugging errors, building datasets and documentation, conducting research, and working with AI agents.
Whether you’re a data professional, a business leader, or just looking to keep pace with the changing world of AI, this course is for you. We’ll help you cut through the hype, build practical AI literacy skills, and learn how to harness these tools to accelerate your career and make smarter, more confident decisions.
Course Description
AI is transforming the way we live and work, unlocking superhuman speed, scale, and creativity. From writing and coding to analytics and design, tools like ChatGPT, Gemini and Claude are redefining what’s possible.
In this course, we’ll explore what it means to develop an AI-first mindset. We’ll talk about the risks and realities of using large language models, and how to combine the unique strengths of humans and machines to drive better results.
We’ll also confront some of the complex ethical realities of this new world – from bias and ownership to privacy and fraud – and break down the exact skills you need to become an AI-ready professional.
Next we’ll lay the foundation and demystify terms like generative AI, deep learning, LLMs and GPTs, and explain how this technology actually works (and why it feels like magic). We’ll also compare common types of AI, including standalone apps, embedded models and autonomous agents. From there we’ll explore the fast-moving AI landscape, help you get up and running with some of the most common generative AI tools, and share helpful frameworks for selecting the best options based on your budget and goals.
Finally, we’ll roll up our sleeves and start putting these tools to use. We’ll demonstrate how to craft effective prompts to produce accurate and consistent results, then explore some powerful real-world use cases, like generating and translating code, debugging errors, building datasets and documentation, conducting research, and working with AI agents.
Whether you’re a data professional, a business leader, or just looking to keep pace with the changing world of AI, this course is for you. We’ll help you cut through the hype, build practical AI literacy skills, and learn how to harness these tools to accelerate your career and make smarter, more confident decisions.
Course Content
2 course hours
3 quizzes
3 skill assessments
3 CPE credits
Who should take this course
Individuals who want to understand how generative AI and LLMs work, and learn practical ways to apply them to their own work
Leaders looking to stay ahead of emerging trends, and foster responsible, effective AI adoption in their organizations
Anyone who wants to build confidence using tools like ChatGPT and Gemini to save time, spark creativity, and make smarter, faster decisions
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.
Included learning paths
Course credential
You’ll earn the course certification by completing this course and passing the assessment requirements
Gen AI Essentials
Gen AI Essentials
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
AI is transforming the way we live and work, unlocking superhuman speed, scale, and creativity. From writing and coding to analytics and design, tools like ChatGPT, Gemini and Claude are redefining what’s possible.
In this course, we’ll explore what it means to develop an AI-first mindset. We’ll talk about the risks and realities of using large language models, and how to combine the unique strengths of humans and machines to drive better results.
We’ll also confront some of the complex ethical realities of this new world – from bias and ownership to privacy and fraud – and break down the exact skills you need to become an AI-ready professional.
Next we’ll lay the foundation and demystify terms like generative AI, deep learning, LLMs and GPTs, and explain how this technology actually works (and why it feels like magic). We’ll also compare common types of AI, including standalone apps, embedded models and autonomous agents. From there we’ll explore the fast-moving AI landscape, help you get up and running with some of the most common generative AI tools, and share helpful frameworks for selecting the best options based on your budget and goals.
Finally, we’ll roll up our sleeves and start putting these tools to use. We’ll demonstrate how to craft effective prompts to produce accurate and consistent results, then explore some powerful real-world use cases, like generating and translating code, debugging errors, building datasets and documentation, conducting research, and working with AI agents.
Whether you’re a data professional, a business leader, or just looking to keep pace with the changing world of AI, this course is for you. We’ll help you cut through the hype, build practical AI literacy skills, and learn how to harness these tools to accelerate your career and make smarter, more confident decisions.
Course Description
AI is transforming the way we live and work, unlocking superhuman speed, scale, and creativity. From writing and coding to analytics and design, tools like ChatGPT, Gemini and Claude are redefining what’s possible.
In this course, we’ll explore what it means to develop an AI-first mindset. We’ll talk about the risks and realities of using large language models, and how to combine the unique strengths of humans and machines to drive better results.
We’ll also confront some of the complex ethical realities of this new world – from bias and ownership to privacy and fraud – and break down the exact skills you need to become an AI-ready professional.
Next we’ll lay the foundation and demystify terms like generative AI, deep learning, LLMs and GPTs, and explain how this technology actually works (and why it feels like magic). We’ll also compare common types of AI, including standalone apps, embedded models and autonomous agents. From there we’ll explore the fast-moving AI landscape, help you get up and running with some of the most common generative AI tools, and share helpful frameworks for selecting the best options based on your budget and goals.
Finally, we’ll roll up our sleeves and start putting these tools to use. We’ll demonstrate how to craft effective prompts to produce accurate and consistent results, then explore some powerful real-world use cases, like generating and translating code, debugging errors, building datasets and documentation, conducting research, and working with AI agents.
Whether you’re a data professional, a business leader, or just looking to keep pace with the changing world of AI, this course is for you. We’ll help you cut through the hype, build practical AI literacy skills, and learn how to harness these tools to accelerate your career and make smarter, more confident decisions.
Curriculum
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.
Included learning paths
Course credential
You’ll earn the course certification by completing this course and passing the assessment requirements
Gen AI Essentials
Gen AI Essentials
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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FOR INDIVIDUALS
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FOR COMPANIES & TEAMS
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Create your team account today, request a demo, or start with a team assessment today.
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