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Training Amazon Bedrock - Mastering Generative AI in the Enterprise

Ref: SIG138
10 people max.
From $5,775 HT / per person
Group rate: $14,438 (team / on-site)
Pay in 3 installments · On-site on request · +$540 with certification exam
5 days
Remote

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

Learning objectives

  • Master the fundamentals of Amazon Bedrock for professional AI applications
  • Develop skills in invoking AI models via the AWS console
  • Design intelligent conversational agents with Bedrock
  • Implement RAG pipelines for contextual responses
  • Optimize costs and security in certified enterprise projects
  • Deploy scalable AI prototypes in a professional environment

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.

Imed BEN AMOR
Imed BEN AMOR

Learni trainer · Development expert

73%productivity gap
×3cost of inaction

Program

Module 1Amazon Bedrock Fundamentals: Console Discovery and AI Models (API, Playground)

Dive into the world of Amazon Bedrock via the AWS console, set up the development environment with Python SDK and Boto3, explore foundation models like Claude and Llama to generate text, create your first simple prompts on concrete business cases, test in interactive playground with immediate feedback, produce an initial test report to evaluate the relevance of AI responses.

Module 2Amazon Bedrock Prompt Engineering: Advanced Techniques (Few-Shot, Chain-of-Thought)

Master the art of prompt engineering dedicated to Amazon Bedrock, apply few-shot and chain-of-thought methods on Titan and Jurassic models, practice on enterprise scenarios like marketing content generation, optimize response accuracy with collaborative iterations, integrate dynamic variables via Python code, create a deliverable: reusable prompt library for your teams.

Module 3Amazon Bedrock AI Agents: Construction and Orchestration (Knowledge Bases, Guardrails)

Build your first intelligent agents with Amazon Bedrock Agents, configure Knowledge Bases for custom RAG on enterprise data, integrate Guardrails for security and GDPR compliance, test multi-turn conversational flows via API, simulate real customer cases like automated support, develop a functional agent prototype with analysis logs and improvement plan.

Module 4Amazon Bedrock Integration: API and Pipelines (Lambda, Step Functions)

Integrate Amazon Bedrock into serverless architectures with AWS Lambda and Step Functions, code Python functions to invoke models in batch, manage vector embeddings with embedding models, deploy a complete RAG pipeline on S3 and OpenSearch, process business data volumes, produce an automated deployment testable in real enterprise conditions.

Module 5Amazon Bedrock Deployment and Optimization: Monitoring and Costs (CloudWatch, Provisioned Throughput)

Optimize your Amazon Bedrock solutions for production, configure CloudWatch for AI metrics monitoring, analyze costs with provisioned throughput and on-demand, secure IAM accesses and encrypt sensitive data, review the red thread project in collective code review, prepare an enterprise scaling plan with quantified ROI, validate skills via MCQ and presentation.

Evaluation method

  • Multiple-choice quiz to validate knowledge on Amazon Bedrock at the end of the training
  • Continuous evaluation through practical exercises and AI prototypes
  • Presentation of the red thread project: conversational agent

Learning method

  • Courses led by an active AWS expert trainer
  • Practical exercises on real enterprise AI cases
  • Red thread project: personalized AI agent with Bedrock
  • Complete course materials and AWS resources provided to participants

Methods, materials and delivery

The Training Amazon Bedrock - Mastering Generative AI in the Enterprise 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 - Mastering Generative AI in the Enterprise 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 - Mastering Generative AI in the Enterprise 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 - Mastering Generative AI in the Enterprise training cost?+
The individual price is $5,775, and the team / on-site price is $14,438 (USD). A detailed quote is sent within one business day.
How long is the Training Amazon Bedrock - Mastering Generative AI in the Enterprise training?+
The training lasts 5 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 accounts, basic knowledge of 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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