Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training Anthropic Claude API - Integrating Advanced AI in Production training are: Mastery of Python/Node.js, advanced REST APIs, and LLMs like GPT. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Anthropic Claude API - Integrating Advanced AI in Production training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training Anthropic Claude API - Integrating Adva... | Learni

The story of Learni

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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Methods, approaches, and teaching resources

The 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.

Teaching resources provided

To ensure the quality of the Training Anthropic Claude API - Integrating Advanced AI in Production training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and 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.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training Anthropic Claude API - Integrating Advanced AI in Production training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

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.

Training objectives

Master the Anthropic Claude API for scalable professional integrations

Develop certified conversational AI agents for enterprise

Optimize prompts and tools for precise and secure responses

Implement advanced state management with streaming and batching

Design robust AI pipelines connected to databases

Deploy Claude API applications in production with monitoring

Acquire certified skills to boost your AI career

Training program

Module 1Anthropic Claude API Authentication: Expert Configuration and Security (Python/JS SDK, API Keys, Rate Limits)

Dive into advanced installation of the Anthropic Claude API SDK, configure secure environments with environment variables and OAuth token management, explore rate limits and automated retry strategies, perform authentication tests on real business cases, produce a production-ready setup script with integrated logging, and validate your skills through a debugging exercise on common errors for seamless integration from day one.

Module 2Prompt Engineering for Claude API: Advanced Techniques for Maximum Precision (System Prompts, Few-Shots, Chain-of-Thought)

Master the art of prompt engineering with Anthropic Claude API by crafting contextual system prompts for professional AI agents, apply few-shot and chain-of-thought techniques on business datasets, iteratively test to reduce hallucinations by 80%, integrate custom tools like calculators or web searches, develop a reusable prompt library with A/B testing, and deploy a prototype chatbot measuring response accuracy in real-time for critical applications.

Module 3State Management and Streaming for Claude API: Scalable Conversational Flows (Messages API, Tool Use, Vision Models)

Implement multi-turn conversations with the Anthropic Claude API by managing message history for perfect context, enable streaming for ultra-smooth real-time responses, integrate tool use for external actions like third-party APIs or SQL databases, explore vision models for professional image analysis, build an autonomous agent solving complex tasks in 5 steps, and optimize latency via batching for high-load enterprise deployments.

Module 4Deployment and Monitoring for Claude API: Robust Production (Docker, Observability, Hybrid Fine-Tuning)

Deploy your Anthropic Claude API application in Docker containers with Kubernetes orchestration, integrate Prometheus and Grafana for real-time monitoring of costs and performance, configure security guards against jailbreaks and biases, simulate traffic spikes for horizontal scaling, generate business impact reports with ROI metrics, and finalize a certifying red thread project with open-source code for your portfolio, ready to enhance your enterprise AI projects.