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.
Worked With
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12 people enrolled last week.
Course overview
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
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For executives and managers at large enterprises seeking to develop and deploy effective AI strategies
02
For technical engineers and developers looking to own and deploy AI projects within their organization.
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This course gives high-level overviews of technical subjects but is not for highly technical AI engineers.
Build frameworks to bridge the gap between non-technical managers and engineering teams to more efficiently deploy AI systems at scale.
Learn top tips for making better decisions and leveraging data to take control of outcomes in your work and life.
Learn how to hire and manage data teams and outline AI project roadmaps from idea to deployment.
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.
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.
Enterprise-scale Automation
Week 1
Jun 22—Jun 23
Events
Sat, Jun 22, 4:00 PM - 8:00 PM UTC
Sun, Jun 23, 4:00 PM - 8:00 PM UTC
Post-Course
Modules
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.
Cohort 1
$900 USD
Dates
Payment Deadline
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
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Cohort 1
$900 USD
Dates
Payment Deadline