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Training AWS Bedrock 2026 - Deploying Multi-Model AI Agents

Ref: FNR495
10 people max.
5500€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 days
in-person

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Learning objectives

  • Master AWS Bedrock 2026 to develop certifiable professional skills in generative AI
  • Design multi-model AI agents tailored to business needs
  • Deploy optimized RAG pipelines on Bedrock for expert training
  • Optimize costs and security of AI workloads in production
  • Implement advanced fine-tunings for concrete business cases
  • Integrate Bedrock into hybrid cloud architectures to boost innovation
  • Acquire valuable certifiable skills in the enterprise

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1AWS Bedrock 2026 Fundamentals: Multi-Model Architecture and Advanced APIs (SDK, CLI)

Dive into the evolved architecture of AWS Bedrock 2026 with hands-on workshops on new foundation models, configure APIs via Python SDK and CLI, test real-time multi-model invocations, analyze latency metrics, and build your first basic AI agents, all in a secure sandbox environment for immediate skill development.

Module 2Custom AI Agents on AWS Bedrock 2026: Advanced RAG and Chaining (LangChain, Prompt Engineering)

Build intelligent AI agents with Retrieval-Augmented Generation on Bedrock 2026, integrate LangChain for complex chains, optimize prompt engineering through iterative exercises, ingest vector data with Knowledge Bases, deploy functional prototypes, and evaluate semantic accuracy, preparing your skills for scalable enterprise projects.

Module 3Fine-Tuning and Customization on AWS Bedrock 2026: Custom Models and Guardrails (LoRA, Security)

Master LoRA fine-tuning on Bedrock 2026 for domain-specific custom models, implement advanced guardrails against hallucinations, test on real business datasets, integrate automated evaluations with Bedrock Guardrails, generate deployable deliverables, and analyze performance impacts, strengthening your expertise in responsible AI.

Module 4Production Deployment on AWS Bedrock 2026: Scaling, Monitoring, and CI/CD (Lambda, ECS, CloudWatch)

Deploy to production with Lambda and ECS on Bedrock 2026, automate CI/CD pipelines via CodePipeline, configure proactive monitoring with CloudWatch and X-Ray, simulate high loads to test resilience, optimize provisioned costs, and produce operational dashboards, ensuring reliable enterprise implementation.

Module 5Advanced Integrations with AWS Bedrock 2026: Hybridization and Enterprise Optimization (SageMaker, VPC)

Integrate Bedrock 2026 into hybrid architectures with SageMaker and private VPCs, develop multi-cloud use cases, optimize costs via Spot Instances and Savings Plans, conduct a complete capstone project with peer review, validate internal certifications, and plan the post-training roadmap, consolidating your expert cloud AI skills.

Evaluation method

  • Daily technical quizzes on AWS Bedrock 2026
  • Real case studies with expert feedback
  • Final certifying project: AI agent deployed in production

Learning method

  • 70% hands-on practice on real AWS labs
  • Active pedagogy with concrete business cases
  • Individualized support by AWS certified trainers
  • Unlimited access to the e-learning platform for 6 months

Methods, materials and delivery

The Training AWS Bedrock 2026 - Deploying Multi-Model AI Agents program is delivered onsite or remote (blended-learning, e-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training AWS Bedrock 2026 - Deploying Multi-Model AI Agents program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training AWS Bedrock 2026 - Deploying Multi-Model AI Agents program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
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« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
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« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
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« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
Our method

Training quality, guaranteed at every step

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

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