Training AWS Bedrock - Optimizing Scalable AI Deployments

On quote

  • 3 days
  • Onsite
  • 10 people max.
Ref: BBA942
10 people max.
On quote
In-company rate: on quote
On-site and certification exam on quote
3 days
Onsite

Don't let this gap widen

Why this program matters

  • Companies that ignore AWS Bedrock lose an average of 35% productivity on AI projects according to Gartner 2024.

  • Without these skills, teams struggle to put models into production and rack up costly delays against competitors.

  • Cloud architects without training see their employability drop rapidly in a market that demands advanced certifications.

  • Join this training to secure your position and accelerate your organization's AI transformation.

Célian Lebacle, Learni trainer · Web & mobile expert
Célian Lebacle

Learni trainer · Web & mobile expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

25,763 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft

Every program built with a dedicated engineer

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Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.

Learning objectives

  • Master AWS Bedrock foundation models for professional use cases
  • Develop advanced skills in prompt integration and orchestration
  • Design serverless architectures leveraging AWS Bedrock in enterprise environments
  • Optimize costs and security for certified AI deployments
  • Implement continuous evaluation and monitoring pipelines
  • Train technical teams on operating multi-model cloud solutions

Program

Module 1Theme: Discovery and advanced configuration of AWS Bedrock models (console, SDK, FM selection)

Participants explore the foundations of AWS Bedrock, review available models, and complete hands-on configuration exercises using the AWS console and Python SDK. They analyze real enterprise cases, select appropriate foundation models, and produce an initial deliverable for secure configuration with IAM and VPC.

Module 2Theme: Prompt engineering and advanced integration with AWS Bedrock (LangChain, agents, RAG)

Learners design complex prompt chains, integrate LangChain, and implement RAG architectures with Amazon OpenSearch. Practical workshops enable the creation of autonomous agents and the delivery of an AI application connected to business data.

Module 3Theme: Deployment, optimization, and governance of AWS Bedrock solutions (Lambda, monitoring, costs)

Trainees deploy complete solutions on AWS Lambda, implement monitoring with CloudWatch, and optimize costs through caching and dynamic selection strategies. They deliver a final project covering governance, security, and reporting for certified professional use.

Evaluation method

  • Final project deployed and documented
  • Daily interactive quizzes
  • Assessment of technical deliverables by the instructor

Learning method

  • Practical workshops on AWS console and SDK
  • Real-world enterprise case studies
  • Personalized feedback on each deliverable
  • Access to updated resources and models

Methods, materials and delivery

The Training AWS Bedrock - Optimizing Scalable AI Deployments 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 - Optimizing Scalable AI Deployments 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 - Optimizing Scalable AI Deployments 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.

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.

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.

A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training booked

To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.

  • Backpack, notebooks and essential supplies
  • Distributed through our partner charities
  • Included, at no extra cost to you
Enroll and offer a kit
FAQ

Frequently asked questions

Which tools are used in AWS Bedrock training?+
Hands-on work runs on console, SDK, FM selection, langChain, agents and RAG. Those tools come from the AWS Bedrock program itself, delivered on site over 3 days, so participants practise on the stack they will use at work.
What can participants do after AWS Bedrock training?+
They can master AWS Bedrock foundation models for professional use cases, develop advanced skills in prompt integration and orchestration and design serverless architectures leveraging AWS Bedrock in enterprise environments. Those are the stated objectives of the AWS Bedrock program at Advanced level, checked by the end-of-session assessment.
What does the AWS Bedrock program cover, day by day?+
Day 1: Theme: Discovery and advanced configuration of AWS Bedrock models (console, SDK, FM selection). Day 2: Theme: Prompt engineering and advanced integration with AWS Bedrock (LangChain, agents, RAG). Day 3: Theme: Deployment, optimization, and governance of AWS Bedrock solutions (Lambda, monitoring, costs). The AWS Bedrock program runs over 3 days, delivered on site.
How is AWS Bedrock training assessed?+
Assessment relies on final project deployed and documented, daily interactive quizzes and assessment of technical deliverables by the instructor. Learni issues a completion certificate together with the individual assessment report at the end of the AWS Bedrock program, which an L&D team can file as evidence.
How much does AWS Bedrock training cost per participant?+
AWS Bedrock training is priced on quote. The amount depends on headcount, format and how far the syllabus is tailored to your team. A detailed quote is sent within one business day, and team pricing covers the whole group from the second participant.
How long does AWS Bedrock training take?+
3 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for AWS Bedrock training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before AWS Bedrock training?+
Confirmed mastery of AWS IAM and REST APIs, experience in machine learning, and hands-on practice with cloud computing services.
Is a certificate issued after AWS Bedrock training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
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