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: Mastering Anthropic - Complete Generative AI for Businesses training are: Basic computer knowledge and general understanding of artificial intelligence. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training: Mastering Anthropic - Complete Generative AI for Businesses training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Training: Mastering Anthropic - Complete Generat... | 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: Mastering Anthropic - Complete Generative AI for Businesses 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: Mastering Anthropic - Complete Generative AI for Businesses 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: Mastering Anthropic - Complete Generative AI for Businesses 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

Understand the framework and stakes of Anthropic in the AI ecosystem

Explore the functioning of Anthropic's Claude models

Learn to integrate and customize Anthropic in business projects

Know how to use Anthropic while respecting ethics and best practices

Deploy concrete use cases adapted to one's sector of activity

Training program

Module 1Introduction to Anthropic and Responsible Generative AI

Presentation of the Anthropic company: history, mission, and ethical specificities. Discovery of the generative AI ecosystem and differences between OpenAI and Anthropic models. Study of societal, legislative, and ethical impacts of responsible AI.

Module 2Anthropic's Claude Models: Architecture, Applications, and Limitations

Detailed analysis of Claude 1, 2, and subsequent models (Claude 3, etc.): architecture, functioning, model selection based on business needs. Comparison with GPT, Gemini, LLaMA. Sectoral case studies: finance, legal, customer support, regulatory monitoring.

Module 3Hands-on: Integrating Anthropic into Enterprise Workflows

Discovery of the Anthropic API: structure, authentication, data security, and privacy by design. Hands-on practice: prompt customization, response automation, creation of an internal conversational assistant based on Claude. Securing, maintaining, and scaling AI deployments.

Module 4Leading Ethical AI Projects with Anthropic

Structuring a responsible AI implementation project: risk analysis, data management, ethical governance, auditability, and compliance (GDPR, European standards). Practical workshops: drafting internal guidelines and project management simulation.

Module 5Advanced Workshops and Industry Feedback

Practical cases adapted to participants' challenges: assisted legal writing, generation of regulated content, process automation. Sharing of real examples, analysis of benefits and limitations. Future evolution roadmap: tracking Anthropic innovations.