Practical AI for Enterprise

New

2 Days

Cohort-based Course

Build and lead data teams, adopt org-wide frameworks and vocabulary, and learn how to deploy successful AI projects at scale.

Practical AI for Enterprise

New

2 Days

Cohort-based Course

Build and lead data teams, adopt org-wide frameworks and vocabulary, and learn how to deploy successful AI projects at scale.

Hosted by

Cassie Kozyrkov

AI Entrepreneur and Speaker | Former Chief Decision Scientist at Google

Cassie Kozyrkov

AI Entrepreneur and Speaker | Former Chief Decision Scientist at Google

Worked With

This course is popular

9 people enrolled last week.

Course overview

Master the fundamentals of enterprise-grade AI

Course content:

Day 1: The fundamentals of enterprise-grade AI

- Turning information (data) into better actions (decisions)

- Building a shared vocabulary and bridging the gap between business leaders and technical staff

- Overview of key algorithms and AI techniques

- The 12 steps of building machine learning and AI projects

- 3-step framework for assessing and deploying enterprise AI systems

- The importance of training, tuning, debugging, testing, and validation

- Live Q+A with Cassie

Day 2: Building a team and deploying

- Productivity vs automation at scale

- What makes a good enterprise AI use case?

- Building a data team

- The future of business (is nuance)

- How to adapt to changing technologies and models of thinking

- Live Q+A with Cassie

Who is this course for

For executives and managers at large enterprises seeking to develop and deploy effective AI strategies

For technical engineers and developers looking to own and deploy AI projects within their organization.

This course gives high-level overviews of technical subjects but is not for highly technical AI engineers.

For executives and managers at large enterprises seeking to develop and deploy effective AI strategies

For technical engineers and developers looking to own and deploy AI projects within their organization.

This course gives high-level overviews of technical subjects but is not for highly technical 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
May 18—May 19
Week dates are set to instructor's time zone
Events
May
18
Cohort 1: Day 1 Live Session
Cohort 1: Day 1 Live Session
Sat, May 18, 10:00 PM - 12:00 AM UTC
May
19
Cohort 1: Day 2 Live Session
Cohort 1: Day 2 Live Session
Sun, May 19, 6:00 PM - 8:00 PM UTC
Modules
Course Day 1 - Saturday
Course Day 1 - Saturday
3 Lessons
Course Day 2 - Sunday
Course Day 2 - Sunday
2 Lessons

Meet your instructor

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.

Join an upcoming cohort