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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 Amazon Q - Accelerate AWS Development with AI 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 Amazon Q - Accelerate AWS Development with AI 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 Amazon Q - Accelerate AWS Development with AI 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.
Discover Amazon Q via the AWS Console and chat interface, set up your secure personal environment, generate your first Python scripts for EC2 and S3 using contextual prompts, analyze AI responses with exercises on real business cases, produce validated Terraform configurations, and conclude with a prompt audit to maximize accuracy and productivity from day one.
Integrate Amazon Q via Python SDK into Lambda and Step Functions applications, automate CI/CD deployments with AI-generated recommendations, resolve complex debugging issues on real cloud architectures, develop internal chatbots for DevOps support, measure impact through time savings and cost optimization metrics, and deliver a certifiable ongoing project with code review by the expert trainer.
Target audience
AWS Developers, DevOps engineers, and cloud architects seeking to enhance AI skills
Prerequisites
Knowledge of AWS services (EC2, S3, Lambda) and programming in Python or JavaScript
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