$20/month

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Unlimited Course Access
Graduate-level AI & ML content
Interactive coding exercises
Monthly live office hours
Digital certificates
Self-paced learning

Best Value

Yearly

Save $40 per year

$240/year

$200/year

Save $40 (2 months free!)

Equivalent to $16.67/month

Everything in Monthly plan
Guaranteed seat to all Bootcamps
Preferred for annual learning budgets
Priority support
Best value for committed learners

Small Team

2-25 members

$200/member

Annual billing only

Collaborative team learning

Everything in Yearly plan
Priority support
Tailored bootcamps and trainings
Team analytics

Setup Your Team

Enterprise Solutions

Scale AI education across your entire organization

Enterprise Plan

25+ members

Custom pricing & volume discounts

Dedicated account manager

SSO integration

Custom content development

Advanced analytics & reporting

On-site training options

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Why Choose Enterprise?

Scale Your Team's AI Skills

Upskill hundreds of employees with industry-leading AI and data science curriculum

Enterprise-Grade Security

SSO integration, compliance support, and secure learning environments

Dedicated Support

Personal account manager and priority expert access for your organization

Trusted by Leading Organizations

Fortune 500 companies and innovative startups choose our platform to build AI-ready teams

Everything included in your subscription

Graduate-level education taught by Duke University professors and industry experts

Unlimited Course Access

All current and future courses, graduate-level AI & ML content, cloud computing (AWS, Azure, GCP), and data engineering fundamentals.

Direct Expert Access

Monthly live office hours with AWS ML Hero, Microsoft Developer experts, Duke University professors, and industry practitioners.

Professional Tools

Interactive coding exercises, hands-on project assignments, digital certificates, progress tracking, and self-paced learning.

Learn by Doing with Interactive Labs

Transform theory into practical skills through our hands-on lab environments.

Work with real tools in preconfigured cloud environments
Build actual ML pipelines, data engineering workflows, and cloud architectures
Develop portfolio-worthy projects guided by industry best practices

Hands-on Learning

Bridge the gap between academic knowledge and workplace readiness