
Image: METAL
Summary
- On October 2, Anthropic launched Claude Frontier Academy, committing $100 million to train 10,000 Frontier Deployed Engineers (FDEs) by the end of 2027.
- Its first program, the FDE Residency, follows the medical training model, moving from a multi-day in-person program and practical exam to a 12-week residency and a final assessment.
- The first cohorts are running in San Francisco, New York and London, with Accenture, Bain, Capgemini, Commonwealth Bank, Deloitte, McKinsey, Morgan Stanley and Novo Nordisk taking part.
Anthropic on October 2 (local time) launched Claude Frontier Academy, a training institution backed by $100 million that aims to develop 10,000 engineers who deploy AI inside enterprises by the end of 2027. The Academy's first program is the Frontier Deployed Engineer (FDE) Residency, which trains engineers at customers and partners to the same standard of skills Anthropic requires of its own engineers. Engineers from Accenture, Bain, Capgemini, Commonwealth Bank of Australia, Deloitte, McKinsey, Morgan Stanley and Novo Nordisk are in the first cohorts.
The problem Anthropic put forward is talent. In its announcement, the company said every enterprise is racing to bring AI into its organization, but the people with the skills to make it work inside a real business have become the hardest talent to find. According to Anthropic, inside the companies it works with, a small group of deeply skilled people drives an outsized share of what AI delivers. Anthropic claimed the Academy is the first of its kind from an AI company, and said it was built from its own work deploying Claude inside the world's largest enterprises and the professional services organizations that serve them.
"A small team of high-agency people with the right skills, access to Claude, and a deep understanding of how their business runs can transform an entire company," said Steve Corfield, Global Head of Business Development and Partnerships at Anthropic. "The hard part is building that depth of talent," he said, adding, "No AI company has invested in developing that talent inside its customers and partners at this depth." Corfield added that the Academy trains people the way Anthropic's own engineers learn, and that he hopes its graduates will set the standard for how AI gets built inside a business.
The residency is modeled on medical training. Just as doctors learn from practicing physicians, train on real cases and are assessed before they practice alone, residency engineers learn from practitioners, practice on realistic cases and must pass an assessment before earning the credential. The program is for hands-on software engineers with strong fundamentals, a record of building with LLMs and experience helping others adopt AI. Each organization nominates its strongest engineers, and each engineer arrives with a named Claude project to lead upon returning. Prior experience building AI agents is not required.
The program runs in two stages. Engineers first attend a multi-day in-person program led by Anthropic engineers and licensed instructors, working through a simulated enterprise deployment that runs from choosing the right use case through security review to handover, and then take a graded practical on a new scenario. Those who pass earn the Claude Resident Engineer badge and move into a 12-week residency, where they lead a real Claude use case at their own organization. During this period, Anthropic engineers provide support and participants learn alongside their cohort. Those who pass a second assessment after 12 weeks earn the Claude Frontier Deployed Engineer badge, with the first graduates expected in early 2027.
The first cohorts are running in San Francisco, New York and London. Participation is by nomination, and organizations can check their eligibility through their Anthropic account team or Partner Account Manager. The Academy builds on the Claude Partner Network. According to Anthropic, professionals across 46,000 firms in that network have earned more than 175,000 Claude certifications, and nearly 4,000 people have completed Basecamp, a program that teaches the same curriculum Anthropic's Applied AI teams receive when they onboard.
The first-cohort companies each described their own circumstances. "Our engineers use AI tools every day, and our teams have produced up to 3x more code changes in the past year," said Rodrigo Castillo, Group Chief Technology Officer of Commonwealth Bank of Australia, adding that the residency will take them deeper. Ram Ramalingam, FDE and Software & Platform Engineering lead at Accenture, said Anthropic designed the program to test judgment against a simulated enterprise deployment rather than technical skills in isolation. Geoffroy Pajot, Global Head of AI Partnerships Ecosystem at Capgemini, said what clients ask about is not certification counts or training volume but whether people know firsthand how to solve real problems.
Novo Nordisk highlighted its experience in drug development. Loic Giraud, VP Data & AI at Novo Nordisk, said the company uses Claude Science in its R&D workflows and Anthropic's frontier models in software development, and that Anthropic engineers work alongside its scientists. Faruk Muratovic, Principal at Deloitte Consulting, said enterprise-scale AI deployment requires people who can drive a project from first requirements through security review to real adoption. At McKinsey, Dan Tinkoff, Senior Partner and Global Co-leader of QuantumBlack, and at Bain, Michael Blake, Partner and Global Head of Engineering, also explained why they joined.
METAL has previously reported on Anthropic's embedded evaluation partnership with Accenture and Barclays' company-wide expansion of Claude. According to the announcement METAL reviewed, the eight companies named in the first cohorts are five consulting firms, two financial firms and one pharmaceutical company, showing that Anthropic has put companies that bring Claude to clients and companies that use Claude directly in the same classroom.
The announcement targets people, not models. Competition among frontier AI companies began with model performance, but at the stage where enterprise customers produce real results, the engineers who can carry systems all the way into operation inside those companies have remained the bottleneck. Anthropic has set out to fill that bottleneck with credentials built to its own engineering standard, $100 million and a target of 10,000 engineers, and the first report card will come when the first graduates emerge in early 2027.





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