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Training AWS Bedrock - Deploying Scalable Generative AIs

Ref: RPM974
10 people max.
From $4,620 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 AWS Bedrock for developing professional AI applications
  • Design intelligent agents and certified automated workflows
  • Integrate custom foundation models in enterprise settings
  • Optimize security and cost of scalable AI deployments
  • Deploy generative solutions connected to enterprise data
  • Develop skills in RAG and fine-tuning for real-world cases

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 1AWS Bedrock Fundamentals: Configuration and First AI Models (CLI, Console, SDK)

Dive into the AWS Bedrock environment via the console and CLI, install Python SDKs for rapid integration, test foundation models like Claude or Llama in playground mode, create your first advanced prompts with chain-of-thought, build a simple assistant connected to S3, produce a functional deliverable with code review by the trainer to validate your professional skills from day one.

Module 2AWS Bedrock Agents: Orchestration and Customization (Knowledge Bases, Guardrails)

Create intelligent agents with AWS Bedrock Agents, integrate Knowledge Bases for RAG on your enterprise data, configure Guardrails for security and moderation, develop custom Lambda actions, test multi-step workflows on concrete cases like document analysis, generate a deployable agent with performance metrics, and optimize prompts for improved accuracy in professional contexts.

Module 3AWS Bedrock Integration: Fine-Tuning and Scalable APIs (Embeddings, Batch Inference)

Master fine-tuning of models on AWS Bedrock with your enterprise datasets, implement embeddings for advanced semantic search, deploy Batch Inference pipelines for large volumes, connect to Amazon Bedrock via REST APIs and streaming, integrate with SageMaker for hybridization, complete exercises on code generation and report synthesis, produce a complete RAG prototype with quantitative evaluation of results.

Module 4AWS Bedrock Deployment: Optimization and Production Monitoring (CloudWatch, Costs)

Deploy your AWS Bedrock applications in production with API Gateway and Lambda, configure CloudWatch for real-time monitoring and alerts, optimize costs via Provisioned Throughput and caching, secure with IAM and KMS encryption, simulate scalable loads on real enterprise cases, finalize a red thread project with a custom dashboard, and prepare for certification by validating best practices for immediate and cost-effective implementation.

Evaluation method

  • Multiple-choice quiz to validate knowledge on AWS Bedrock at the end of the training
  • Continuous evaluation through practical exercises and developed agents
  • Defense of the red thread generative AI project in front of the trainer

Learning method

  • Courses led by a certified AWS expert trainer currently in practice
  • Practical exercises on real enterprise AI cases and private datasets
  • Progressive red thread project with Bedrock agents throughout the training
  • Complete course materials and code templates provided to each participant

Methods, materials and delivery

The Training AWS 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 AWS 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 AWS 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 AWS Bedrock - Deploying Scalable Generative AIs training cost?+
The individual price is $4,620 (USD). A detailed quote is sent within one business day.
How long is the Training AWS 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?+
Basic AWS knowledge (S3, EC2, Lambda), Python and REST APIs
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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