12 Steps to Enterprise AI

4.5

(4 ratings)

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2 Days

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Cohort-based Course

Discover frameworks and strategies for designing, testing, and deploying scalable enterprise AI solutions.

Worked With

Google
Gucci
Lenovo
GSK
KPMG

This course is popular

17 people enrolled last week.

Course overview

Master the fundamentals of enterprise-scale AI

Every enterprise organization needs an AI strategy. But as a business leader, you shouldn't need a PhD in Machine Learning to effectively leverage automation in your business.


This course is designed specifically for enterprise leaders. You'll learn fundamental AI concepts and techniques (no coding knowledge required!), build a shared a vocabulary to better work with your engineers and technical leaders, and become familiar with a 12-step framework for designing, testing, and deploying secure, enterprise-scale AI systems.


We'll also cover the challenges and questions that every enterprise leader is facing in the age of AI: security, data, and building the right teams.


Throughout my ten year tenure at Google, I worked with hundreds of Fortune 100 leaders to build data and automation strategies that worked for them. I'm sharing everything I know in this course to help you get smarter about managing complex technology and leverage AI for higher impact decision making.


This course will be offered in two live four-hour sessions. All sessions are recorded, so if you can't attend any of the course live you'll have full access to the material.



Course content:


Day 1: THE FUNDAMENTALS OF ENTERPRISE-GRADE AI


- Decision Intelligence: Learn the basics of decision science and how business leaders can turn data into better decisions


- Build a shared vocabulary: Understand key AI concepts and techniques to work more efficiently with your technical team and get your entire org on the same page


- 12 Step Framework for Enterprise AI: Learn Cassie's AI Enterprise Framework: 12 Steps to building, testing and deploying safe, reliable automation systems at scale


- Live Q+A with Cassie: Ask Cassie questions specific to your business and challenges


Day 2: MITIGATING AI CHALLENGES


- Data teams: Learn the skillsets, personalities, and roles you need to succesfully deploy AI at scale.


- [Guest Lecture] AI-Driven Operational Efficiency: Leading Operational Efficiency expert, Nick Sonnenberg, joins to teach the AI tools and frameowrks you can use to build a more efficient, productive workforce.


- [Guest Lecture] AI Enterprise Security: Dan Guido, a leading cybersecurity expert, joins to discuss all things AI + security.


- Live Q+A with Cassie: Wrap up with a live Q+A to answer final questions and address specific concerns.


About our guest lecturers:


DAN GUIDO: Dan Guido is the CEO of Trail of Bits, a cybersecurity firm he founded in 2012 to address software security challenges with cutting-edge research. In his tenure leading Trail of Bits, Dan has grown the team to 80 engineers, led the team to compete in the DARPA Cyber Grand Challenge, built an industry-leading blockchain security practice, and refined open-source tools for the endpoint security market. In addition to his work at Trail of Bits, he’s active on the boards of four early-stage technology companies. Dan contributes to cybersecurity policy papers from RAND, CNAS, and Harvard. He runs Empire Hacking, a 1,500-member meetup group focused on NYC-area cybersecurity professionals. His latest hobby coding project -- AlgoVPN -- is the Internet's most recommended self-hosted VPN. In prior roles, Dan taught a capstone course on software exploitation at NYU as a faculty member and the Hacker in Residence, consulted at iSEC Partners (now NCC Group), and worked as an incident responder for the Federal Reserve System.



NICK SONNENBERG: Nick Sonnenberg is the founder and CEO of Leverage, a business efficiency consultant, Inc. columnist and author of the book Idea to Execution. His book, Come Up for Air, is a WSJ bestseller. As a serial entrepreneur with a passion for productivity and a background in data science, Nick’s mission is to create companies that disrupt the way people work by leveraging the power of outsourcing, remote teams, common tools, and automation. Nick has worked with individuals and companies of all sizes, including Tony Robbins, Jay Abraham, Joe Polish, Ethereum and more.



Who is this course for

01

For executives and enterprise leaders seeking to develop and deploy effective AI strategies

02

For technical managers looking to build AI teams and drive large-scale automation projects.

03

While we'll touch on technical concepts, this course is not for highly technical developers or AI engineers.

What you’ll get out of this course

Improve cross-functional AI work across large enterprises

Build frameworks to bridge the gap between non-technical managers and engineering teams to more efficiently deploy AI systems at scale.

Make better, data-driven decisions

Learn top tips for making better decisions and leveraging data to take control of outcomes in your work and life.

Build and manage better AI teams

Learn how to hire and manage data teams and outline AI project roadmaps from idea to deployment.

Enhance data & AI literacy across your organizatoin

Get a high-level overview of key AI algorithms, concepts, and techniques to build a shared org-wide vocabulary, from top execs to individual contributors.

This course includes

2 interactive live sessions

Lifetime access to course materials

5 in-depth lessons

Direct access to instructor

Projects to apply learnings

Guided feedback & reflection

Private community of peers

Course certificate upon completion

Maven Satisfaction Guarantee

This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.

Course syllabus

Expand all modules
  • Week 1

    Jun 22—Jun 23

    Week dates are set to instructor's time zone

    Events

    • Jun

      22

      Cohort 1: Day 1 Live Session

      Sat, Jun 22, 4:00 PM - 8:00 PM UTC

    • Jun

      23

      Cohort 1: Day 2 Live Session

      Sun, Jun 23, 4:00 PM - 8:00 PM UTC

  • Post-Course

    Modules

    • Course Day 1 - Saturday

    • Course Day 2 - Sunday

4.5

(4 ratings)

What students are saying

Meet your instructor

Cassie Kozyrkov

Cassie Kozyrkov

Cassie Kozyrkov is a pioneer in the field of Decision Science and leveraging data to drive better business outcomes. She combines an academic background in mathematical statistics, psychology, and cognitive neuroscience with a decade of executive experience at Google to help leaders optimize their biggest decisions.  


Cassie previously served as Google’s first Chief Decision Scientist. There, she trained over 20,000 Googlers in data-driven decision-making and advised senior leadership on decision process, AI strategy, and building data-driven organizations. One of her most popular courses has been viewed over 137,000 times on YouTube. 


Cassie also writes extensively on AI, data science, and decision making. Her writing has garnered an audience of over a million followers across her social channels and Medium blog


Cassie is a sought after keynote speaker for global tech conferences and Fortune 500 companies. She has delivered keynotes to companies like Gucci, KPMG, Zendesk, Google, and Inditex.

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Course schedule

4-6 hours per week
  • Saturday & Sunday

    12:00pm - 4:00pm EST


  • June 22-23, 2024

    Join for live sessions and Q+A with Cassie Kozyrkov.

Learning is better with cohorts

Learning is better with cohorts

Active hands-on learning

This course builds on live workshops and hands-on projects

Interactive and project-based

You’ll be interacting with other learners through breakout rooms and project teams

Learn with a cohort of peers

Join a community of like-minded people who want to learn and grow alongside you

Stay in the loop

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