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 AWS Bedrock 2026 - Deploying AI Agents in the Enterprise training are: Basic Python programming skills and elementary knowledge of cloud computing. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training AWS Bedrock 2026 - Deploying AI Agents in the Enterprise training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Training AWS Bedrock 2026 - Deploying AI Agents ... | 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 AWS Bedrock 2026 - Deploying AI Agents in the Enterprise 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 AWS Bedrock 2026 - Deploying AI Agents in the Enterprise 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 AWS Bedrock 2026 - Deploying AI Agents in the Enterprise 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 fundamentals of AWS Bedrock for professional AI projects

Configure foundation models via the Bedrock console and API

Develop enterprise-ready certified conversational AI agents

Implement AWS Bedrock integration into business workflows

Optimize security, costs, and performance of deployments

Design concrete use cases with actionable skills

Deploy production-ready generative AI applications

Training program

Module 1AWS Bedrock Fundamentals: Exploring Models and Playground (AWS Console, Prompt Engineering, First Agents)

Discover AWS Bedrock 2026 via the AWS console by creating a dedicated account, explore foundation models like Claude 3.5 and Llama 3 in the interactive playground, practice prompt engineering to generate relevant text and images, complete your first exercises on simple business cases like automated report generation, build a basic AI agent with model chaining, receive personalized feedback from the expert trainer to consolidate your professional skills from the first session.

Module 2AWS Bedrock Practice: Developing and Deploying Applications (Python SDK, Lambda, Security Guardrails)

Get hands-on with the Python boto3 SDK to invoke Bedrock models in code, integrate conversational agents into serverless Lambda functions, configure guardrails for security and content moderation, deploy a complete application via API Gateway connected to a DynamoDB database, test on concrete enterprise cases like a customer chatbot or code assistant, produce a functional deliverable with CloudWatch monitoring, and validate your skills with a certified capstone project ready for the professional environment.

Evaluation method

Multiple-choice quiz to validate knowledge at the end of the training on AWS Bedrock
Continuous evaluation through practical exercises and code reviews
Presentation of the capstone project: deployed and functional AI agent