12 Steps to Enterprise AI

New
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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
Cisco

This course is popular

25 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

- Introduction to Decision Intelligence: Turn data into better decisions

- Build a shared vocabulary of key AI concepts and techniques

- Learn the AI Enterprise Framework: 12 Steps to Applied AI

- Live Q+A with Cassie


Day 2: Mitigating AI challenges

- How enterprise leaders can prepare for, and mitigate, inevitable challenges that arise with large-scale automation

- This session will primarily cover: enterprise security, data selection, and how to build and manage data teams

- We'll conclude discussing what's coming next, and how enterprise leaders should think about AI control systems

- Live Q+A with Cassie

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

What people are saying

        I was simply blown away by the quality of Cassie's presentation.  This was a tour de force; through every minute of it. Cassie was clear, funny, energetic, approachable, insightful and informative. I wish we had this at MIT.

MIT professor
        This was easily one of the most well-prepared and polished classes I've taken, ever. Cassie is an exceptional speaker and instructor with enough enthusiasm to make statistics interesting, something numerous college instructors failed to do for me in the past.

Past student
        "Hands down Cassie has a gift of making super complex things appear easy. Fantastic story telling. She is a rockstar of the machine learning world and will inspire mill ions to explore ML."

Past Student
        After reading endless online ML material, this is the one that gives you that feeling of the "the penny has dropped" and "aha" moment in your understanding. Great course. I hope she does follow ups to go deeper into other topics."

Past student

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 keynote talks to companies like Web Summit, Gucci, and Cisco.

A pattern of wavy dots
Join an upcoming cohort

12 Steps to Enterprise AI

Cohort 1

$900 USD

Dates

June 22—23, 2024

Payment Deadline

June 22, 2024
|

Bulk purchases

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

Sign up to be the first to know about course updates.

A pattern of wavy dots
Join an upcoming cohort

12 Steps to Enterprise AI

Cohort 1

$900 USD

Dates

June 22—23, 2024

Payment Deadline

June 22, 2024
|

Bulk purchases

$900 USD

2 Days