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Training AWS Bedrock - Deploying Scalable Generative AIs

Ref: PZW542
10 people max.
From $5,880 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 to orchestrate generative AI models in professional production environments
  • Develop custom AI agents with RAG and secure guardrails
  • Implement scalable and cost-optimized inference pipelines
  • Design hybrid Bedrock architectures with multi-model agents
  • Optimize performance and GDPR compliance in enterprise projects
  • Deploy certified AI applications connected to enterprise data

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 1AWS Bedrock: Advanced Architecture and Foundation Models (Claude, Llama, Titan)

Dive into the serverless architecture of AWS Bedrock, configure access to models via console and Python/Boto3 SDK, explore the InvokeModel and Converse APIs for optimized invocations, perform comparative benchmarks on real enterprise use cases such as content generation, create your first advanced prompts with few-shot learning, and validate through an exercise migrating an open-source LLM to Bedrock with latency and cost measurements.

Module 2AWS Bedrock: Model Customization and RAG Knowledge Bases (vector stores, embeddings)

Customize Bedrock models via fine-tuning and LoRA on enterprise datasets, integrate Knowledge Bases with Amazon OpenSearch for high-performance RAG, chain retrieval and generation with LangChain on Bedrock, test on concrete cases like internal Q&A or industry-specific chatbots, optimize embeddings with Titan Embeddings, generate deliverables such as a deployed RAG prototype and a precision/recall report, while measuring immediate business impact.

Module 3AWS Bedrock: AI Agents and Security Guardrails (evaluation, moderation, compliance)

Build autonomous agents with Bedrock Agents and Action Groups for complex workflows, implement custom guardrails to filter biases and toxicity via Prompt Flows, integrate automated evaluation with Bedrock Model Evaluation, simulate sensitive enterprise scenarios such as finance or healthcare, deploy security hooks with Lambda, produce a complete agent with CloudWatch logging and monitoring dashboard, demonstrating a 50% reduction in non-compliance risks.

Module 4AWS Bedrock: Production Deployment and Optimization (scaling, costs, monitoring)

Deploy Bedrock pipelines in production via Provisioned Throughput and auto-scaling, optimize costs with Savings Plans and spot instances for inference, monitor with CloudWatch and X-Ray for strict SLOs, integrate CI/CD with CodePipeline for model updates, test high availability on critical enterprise cases, finalize with a scalable red thread project including calculated ROI, and prepare for skills certification to showcase your professional generative AI expertise.

Evaluation method

  • Advanced MCQ and practical cases to validate Bedrock skills
  • Evaluation via deployment of a complete AI agent
  • Project defense with expert trainer audit

Learning method

  • Sessions led by active AWS certified trainers
  • Hands-on exercises on enterprise AWS sandbox accounts
  • Custom red thread project starting from day 1
  • Digital course materials and video replays included

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 $5,880 (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?+
Advanced mastery of AWS (Lambda, API Gateway, S3), advanced Python, knowledge of LLMs and fine-tuning
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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