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Training Amazon Bedrock - Deploying Scalable Generative AIs

Ref: ROC664
10 people max.
From $5,145 HT / per person
Pay in 3 installments · On-site on request · +$540 with certification exam
4 days
Remote

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Learning objectives

  • Master Amazon Bedrock to orchestrate generative AI models in the enterprise
  • Develop intelligent agents with Knowledge Bases and Guardrails
  • Implement scalable and secure RAG pipelines
  • Optimize Bedrock invocation costs and performance
  • Design certified AI applications integrating Bedrock
  • Deploy professional monitored AI solutions

The Learni story

Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.

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.

Célian Lebacle
Célian Lebacle

Learni trainer · Web & mobile expert

73%productivity gap
×3cost of inaction

Program

Module 1Amazon Bedrock Architecture: configuring models and secure access (IAM, API endpoints)

Dive into the advanced architecture of Amazon Bedrock, configure fine-grained IAM access and provision models like Claude or Llama via the AWS console, test initial API calls with Python/Boto3 SDK on real enterprise cases, implement key rotation and CloudWatch logging for GDPR compliance, produce a first production-ready customized model with practical exercises and personalized code review.

Module 2Amazon Bedrock Agents: creating intelligent workflows (Agents, Action Groups, Knowledge Bases)

Build autonomous agents with Amazon Bedrock Agents, integrate vector Knowledge Bases on Amazon OpenSearch, define Action Groups for external Lambda calls, test multi-step reasoning chains on business scenarios like AI customer support, optimize prompts for maximum accuracy, generate functional deliverables with trace monitoring via Bedrock console, transform your ideas into deployable prototypes in just a few hours.

Module 3RAG and Guardrails in Amazon Bedrock: implementing secure augmented retrieval (Embeddings, Filters)

Master advanced RAG with Amazon Bedrock, generate Titan embeddings and store them in vector stores like Pinecone or Kendra, implement Guardrails to filter sensitive content and hallucinations, integrate into Streamlit apps for interactive demos, analyze performance with latency and token usage metrics, develop a complete red-thread RAG project on confidential enterprise data, secure and scale for immediate production use.

Module 4Amazon Bedrock Deployment: optimizing costs and monitoring (Provisioned Throughput, CloudWatch)

Deploy to production with Provisioned Throughput for predictable workloads, optimize costs via auto-scaling and spot instances, configure CloudWatch alarms and X-Ray for end-to-end tracing, migrate legacy ML to serverless Bedrock, perform stress tests on 1000+ requests/second, produce custom dashboards and rollback plans, conclude with a certifying project defense, ready to boost your enterprise's AI innovation tomorrow.

Evaluation method

  • Advanced MCQ on Amazon Bedrock and use cases
  • Evaluation through practical projects and code review
  • Defense of a complete RAG agent at the end of the training

Learning method

  • Live sessions by active AWS expert trainer
  • Hands-on exercises on dedicated AWS sandbox accounts
  • Custom generative AI red-thread project
  • Complete resources: slides, source codes, replays

Methods, materials and delivery

The Training Amazon Bedrock - Deploying Scalable Generative AIs program is delivered onsite or remote (blended-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 Amazon Bedrock - Deploying Scalable Generative AIs 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 Amazon Bedrock - Deploying Scalable Generative AIs 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

Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.

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.

FAQ

Frequently asked questions

How much does the Training Amazon Bedrock - Deploying Scalable Generative AIs training cost?+
The individual price is $5,145 (USD). A detailed quote is sent within one business day.
How long is the Training Amazon Bedrock - Deploying Scalable Generative AIs training?+
The training lasts 4 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Mastery of AWS (IAM, Lambda, S3), advanced Python, basics of LLMs and prompt engineering
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote

This training across cities

Available on-site and remotely. Pick your city to see the local training center.

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