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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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The Training AWS Bedrock - Generative AI with Claude, Llama, Titan 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 AWS Bedrock - Generative AI with Claude, Llama, Titan 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 AWS Bedrock - Generative AI with Claude, Llama, Titan 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.
Dive into the Bedrock console to configure Claude, Llama, and Titan models, test advanced prompts with chain-of-thought and few-shot learning on real enterprise cases, implement a complete RAG system with vector embeddings and Knowledge Bases, develop multi-tool autonomous agents via Agents for Bedrock, integrate guardrails for moderation and GDPR compliance, build a full-stack prototype connected to Lambda and API Gateway, optimize costs with provisioned throughput and CloudWatch monitoring, conclude with a serverless deployment and performance evaluation on concrete business metrics.
Target audience
AI engineers, data scientists, cloud architects, and DevOps professionals seeking to upskill in enterprise generative AI
Prerequisites
Advanced expertise in AWS (EC2, S3, Lambda), Python for ML, and basics in LLM models like GPT
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