Anthropic Targets 10,000 AI Engineers With New $100 Million Training Program

Anthropic is putting $100 million into a new training program aimed at preparing 10,000 engineers to build and deploy AI systems inside large organizations.

The company announced the Claude Frontier Academy on October 2, saying it wants to train 10,000 Frontier Deployed Engineers (FDEs) by the end of 2027. The program is focused on a growing problem for businesses: having access to AI models is becoming easier, but finding engineers who can turn those models into reliable systems that work in real business environments remains difficult.

The first groups include engineers from companies such as Accenture, Bain, Capgemini, Commonwealth Bank of Australia, Deloitte, McKinsey, Morgan Stanley and Novo Nordisk.

Anthropic Targets the Enterprise AI Talent Gap

Anthropic says many companies are moving from AI experiments to larger deployments, but they need employees who can handle the technical and business challenges involved.

The company describes FDEs as engineers who can take an AI project from an early idea through deployment and into production. Their work can include selecting the right use case, building the system, addressing security requirements and integrating AI into existing business processes.

The role is becoming increasingly important as businesses look beyond simple chatbot applications and begin using AI systems for more complex tasks. Anthropic says the Academy is based on the experience its engineers have gained while deploying Claude at large enterprises and working with professional services companies.

The company wants participants to develop the same level of practical skills expected from Anthropic’s own engineers.

ALSO READ: Anthropic Launches Claude Opus 5.5 With Fable-Level Performance at 60% Lower Cost

Anthropic Sets Goal to Train 10,000 Engineers by End of 2027

The $100 million commitment will support the first program under Claude Frontier Academy, called the Frontier Deployed Engineer Residency. Anthropic plans to expand the program until it reaches 10,000 engineers by the end of 2027. The first cohorts are already running in San Francisco, New York and London.

The program is aimed at experienced software engineers rather than people who are completely new to technology. Anthropic says candidates should have strong software engineering fundamentals, experience building with large language models and experience helping others adopt AI.

Previous experience building AI agents is not required. Companies nominate engineers for the program, and each participant arrives with a specific Claude project that they are expected to work on when they return to their organization.

Anthropic Combines AI Training With Real Enterprise Projects

Anthropic Combines AI Training With Real Enterprise Projects

The program begins with a multi-day, in-person training session involving Anthropic engineers and licensed instructors. Participants work through a simulated enterprise AI deployment. 

The exercise covers several stages, including identifying an appropriate use case, developing the system, reviewing security issues and preparing it for handover. Engineers then complete a practical assessment based on a new scenario.

Those who pass receive the Claude Resident Engineer badge and move into a 12-week residency. During the residency, participants work on a real Claude project at their own organization. Anthropic engineers support them during the process, while participants also learn from others in their cohort.

A second assessment takes place at the end of the residency. Engineers who successfully complete it receive the Claude Frontier Deployed Engineer badge. Anthropic expects the first engineers to receive the final credential in early 2027.

Accenture, Deloitte and Other Companies Join Anthropic’s AI Engineer Training

Anthropic’s first groups include engineers from several major consulting firms and large companies. The initial participants come from Accenture, Bain, Capgemini, Commonwealth Bank of Australia, Deloitte, McKinsey, Morgan Stanley and Novo Nordisk, among others.

These companies operate across consulting, banking, healthcare and other industries where AI adoption requires integration with existing software, data and business processes.

For consulting companies in particular, trained FDEs could play a role in helping clients move AI projects from pilots into production.

Anthropic says Accenture’s FDE teams, for example, work inside client workflows to turn AI concepts into production-ready systems. Bain has also said that hands-on AI engineering skills are becoming important as businesses try to move from experimentation to wider deployment.

Novo Nordisk is participating as it expands the use of Claude in areas including software development, research and drug discovery.

Anthropic Builds on $100 Million Claude Training Investment

The new Academy is part of a broader effort by Anthropic to build a professional ecosystem around Claude. Earlier in 2026, the company launched the Claude Partner Network, backed by another $100 million investment. 

That program focuses on training, technical support and market development for organizations that help businesses adopt Claude. Anthropic said in June that more than 10,000 consultants had earned a Claude certification and that more than 40,000 firms had applied to join the partner network.

The company now says the wider Claude Partner Network has reached more than 175,000 Claude certifications across 46,000 firms, while nearly 4,000 people have completed its Basecamp program.

The Frontier Academy is aimed at a more advanced group of professionals who will be responsible for leading actual AI deployments.

Enterprise AI Adoption Creates New Demand for Skilled Engineers

The announcement comes as companies are spending more money on AI but continue to face challenges turning those investments into working products. Building an AI application is different from simply accessing a model through an API. 

Companies may need engineers who understand software development, AI models, data, security, evaluation and the organization’s specific business processes. That becomes even more important as AI agents take on longer and more complicated tasks.

An engineer deploying an AI agent in a bank, healthcare company or consulting organization may need to consider data access, security controls, human oversight and how the system interacts with existing applications.

Anthropic is betting that creating a larger pool of engineers with these skills can help accelerate enterprise adoption of Claude.

ALSO READ: Claude Now Leads 26% of Anthropic’s AI Research, Up From Under 1%

Anthropic Looks Beyond AI Models to Build a Claude Talent Network

Anthropic Looks Beyond AI Models to Build a Claude Talent Network

The $100 million commitment also shows that competition between AI companies is increasingly extending beyond model performance. Companies such as Anthropic are competing for enterprise customers, but they also need developers, consultants and engineers who know how to deploy their technology.

Training thousands of engineers could give Anthropic a larger network of professionals who are familiar with Claude and capable of recommending or implementing it inside businesses.

The company is also positioning the FDE role as a way for organizations to create internal AI expertise rather than relying entirely on external consultants or Anthropic itself.

Anthropic Aims to Build a 10,000-Engineer Claude Network

Anthropic plans to expand Claude Frontier Academy from its initial cohorts to 10,000 Frontier Deployed Engineers by the end of 2027.

The first cohorts are currently running in San Francisco, New York and London. Participation is based on company nominations, with organizations able to contact their Anthropic account teams or partner managers about eligibility.

The success of the program will depend on whether the engineers can translate their training into useful AI systems inside their organizations.

For Anthropic, the initiative is about more than training. It is also an effort to build a large community of professionals who can deploy Claude in real business environments as companies move from experimenting with AI to using it as part of everyday operations.