Understand the skills, roles and team choices involved in building and running AI.
About This Course
Introduction
An AI initiative involves understanding a task, preparing data, building an application, evaluating it, running the service, managing risk, and helping people adopt it. A job title cannot tell us that one person can do all of those things. Define the work and required responsibilities before designing the team.
We will examine the roles and how they fit together. Your project designs an AI organization for a fictional 500-person company. You will also learn how a nontechnical executive can evaluate technical work by asking for concrete evidence. The team should fit the workload and responsibilities.
Review operations in MLOps And The AI Development Lifecycle, evaluation in Post-Training, Adaptation, And Evaluations, and enterprise deployment in Enterprise AI Deployment. Start with roles, then organizational choices, and finish with the hiring and budget example.
Planned Lessons
Tasks Before TitlesList the work an AI team needs to do before choosing roles to hire.
Data Engineering And Data ScienceCompare organising reliable business data with analysing it and building models from it.
ML Engineering And AI Application EngineeringSeparate the work of running a model reliably from building the application around it.
MLOps, Platform, And Reliability EngineeringIdentify who manages releases, shared computing systems and service reliability.
Evaluation, Safety, And Security RolesIdentify the people needed to test AI results, manage harm and protect the system.
Product, Design, And Domain ExpertiseConnect product and design work with knowledge of the people and industry being served.
Research Roles And Production RolesCompare exploring new ideas with delivering a service people can depend on.
Centralized, Embedded, And Federated TeamsChoose whether AI specialists work together centrally or within individual business teams.
Responsibility And Decision RightsMake clear who makes each decision and who is answerable for the result.
Evaluating Technical Talent As A Nontechnical ExecutiveJudge technical candidates through examples of the work the business needs done.
Compensation, Capacity, And VendorsPlan the skills, staffing and external support a team needs within its budget.