Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
- Triple validation: technical, pedagogical, sectoral.
- Minimum rating 4.8/5 over the last 12 sessions.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Trusted by — schools, companies and industrial groups
Learning objectives
- Master the Anthropic Claude API for professional, certified integrations
- Develop scalable AI applications with Claude in an enterprise context
- Optimize advanced prompts and streaming for ultra-high-performance responses
- Implement error handling, rate limits, and security for sensitive data
- Design autonomous AI agents via tools and function calling with Claude
- Deploy CI/CD pipelines for Claude API applications in production
- Acquire expert skills in fine-tuning and API cost monitoring
Our social commitment
A school kit donated to a child for every training
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Don't let this gap widen
Why this program matters
Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.
Organizations that don't train their talents on key topics see their competitiveness drop.
Every quarter without training is a gap widening with competitors who invest.
The cost of inaction quickly exceeds that of well-targeted training.
Program
Module 1Anthropic Claude API Fundamentals: Setup and Secure Authentication (Python/JS SDK, API Keys, Environments)
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.
Module 2Advanced Prompting for Anthropic Claude API: Expert Techniques and Chain-of-Thought (XML Tools, System Prompts, Few-Shot)
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.
Module 3Expert Features of Anthropic Claude API: Tools, Function Calling, and Streaming (Webhooks, Autonomous Agents)
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.
Module 4Deployment and Optimization of Anthropic Claude API: Scaling, Monitoring, and Security in Production (Docker, AWS Lambda, Observability)
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.
Evaluation method
- Expert MCQ on LLM APIs and Claude specifics
- Evaluation via red thread project deployed live
- Individual code review and oral defense of technical choices
Learning method
- Live sessions by active Anthropic expert trainer
- Hands-on exercises on real enterprise cases and data
- Evolving red thread project with continuous feedback
- Complete resources: code, API docs, prompt templates
Methods, materials and delivery
The Training Anthropic Claude API - Integrating Advanced AI in Production program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.
The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.
Equipment required
For the smooth delivery of the Training Anthropic Claude API - Integrating Advanced AI in Production program, the following equipment is required:
- Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
- Training environments installed on workstations or accessible online
- Course materials, hands-on exercises and complementary resources
- Post-training access to materials and educational resources
For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.
* contact us for remote delivery feasibility** ratio varies depending on the program
Skills assessment methods
Assessment of skills acquired during the Training Anthropic Claude API - Integrating Advanced AI in Production program is performed through:
- During training: case studies, hands-on labs and professional scenarios
- End of training: self-assessment questionnaire and skills evaluation by the trainer
- After training: completion certificate detailing acquired skills
Program accessibility
Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.
Enrollment terms and lead times
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
Our method
Training quality, guaranteed at every step
Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.
You meet the trainer beforehand
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
- Live briefing on goals and team context.
- Veto right — we swap the trainer for free if needed.
Content tailored to your context
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
- Hands-on cases drawn from your stack and projects.
- Program co-written then validated by your team.
Continuous quality follow-up
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
- NPS, knowledge quizzes and skills self-assessment.
- Satisfaction guarantee: fully satisfied or free rework.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
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FAQ
Frequently asked questions
How much does the Training Anthropic Claude API - Integrating Advanced AI in Production training cost?+
The individual price is $5,880 (USD). The team / on-site group package is shown on the course page. A detailed quote is sent within one business day.
How long is the Training Anthropic Claude API - Integrating Advanced AI in Production training?+
The training lasts 4 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Mastery of Python or Node.js, REST/GraphQL APIs, basics of large language models and prompting
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
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