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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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Professional Training training in New York in September 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Allan Busi
Sep 1, 20268 min readNew York
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Allan BusiApr 21, 202612 min readThe Training Anthropic Claude API - Integrating Advanced AI in Production training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Training Anthropic Claude API - Integrating Advanced AI in Production training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Training Anthropic Claude API - Integrating Advanced AI in Production training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Quick installation of official Anthropic SDKs, configuration of a secure test environment with environment variables and proxies, first API calls to generate text completions with Claude 3 Opus and Sonnet models, practical exercises on native JSON parsing and token management, creation of a red thread conversational AI assistant project, real-time debugging with advanced logging to identify common enterprise pitfalls.
In-depth exploration of XML prompt formats for Claude, implementation of chain-of-thought and tree-of-thoughts on real business cases like customer data analysis, collaborative exercises to optimize response accuracy beyond 95%, integration of few-shot learning with dynamic examples, A/B testing on your red thread project to boost performance, analysis of metrics like perplexity and latency, production of reusable templates for multidisciplinary teams.
Implementation of function calling to connect Claude to external APIs like databases or cloud services, development of multi-tool AI agents capable of executing complex workflows autonomously, activation of streaming for real-time reactive interfaces, advanced management of rate limits and exponential retries in high-load scenarios, exercises on enterprise use cases such as automated customer support, securing tools with JSON Schema validation, iteration on the red thread project with live cost monitoring.
Containerization of the application with Docker for serverless deployments on AWS Lambda or Vercel, setup of CI/CD pipelines with GitHub Actions for automated Claude API testing, cost optimization via caching and intelligent batching, monitoring with Prometheus and Grafana for latency and errors, security audit on prompt injections and PII data, finalization of the red thread project with live deployment and Q&A, delivery of certified deliverables including source code and performance report for professional portfolio.
10 participants max.
$6,160 / per person
4 days
distancielTarget audience
AI Developers, ML Engineers, and Software Architects for upskilling on LLM APIs in enterprise settings
Prerequisites
Mastery of Python or Node.js, REST/GraphQL APIs, basics of large language models and prompting
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