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.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Training Amazon Bedrock - Deploying Scalable Generative AIs
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
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
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
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 mastery of Amazon Bedrock, AI teams lose 50% of their time on custom infrastructure, with cloud costs exploding 3x compared to managed services.
68% of AI projects fail in the scaling phase due to lack of optimization, generating 200k€ in annual losses per team according to Gartner.
Laggard companies see their innovation drop by 40%, risking obsolescence against AWS-native competitors.
Every quarter without Bedrock skills widens an insurmountable competitive gap, threatening market share and careers.
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.
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.
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.
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.
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FAQ
Frequently asked questions
Which tools are used in Amazon Bedrock training?+
Hands-on work runs on IAM, API endpoints, agents, action Groups, knowledge Bases and embeddings. Those tools come from the Amazon Bedrock program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.
What can participants do after Amazon Bedrock training?+
They can master Amazon Bedrock to orchestrate generative AI models in the enterprise, develop intelligent agents with Knowledge Bases and Guardrails and implement scalable and secure RAG pipelines. Those are the stated objectives of the Amazon Bedrock program at Advanced level, checked by the end-of-session assessment.
What does the Amazon Bedrock program cover, day by day?+
Day 1: Amazon Bedrock Architecture: configuring models and secure access (IAM, API endpoints). Day 2: Amazon Bedrock Agents: creating intelligent workflows (Agents, Action Groups, Knowledge Bases). Day 3: RAG and Guardrails in Amazon Bedrock: implementing secure augmented retrieval (Embeddings, Filters). Day 4: Amazon Bedrock Deployment: optimizing costs and monitoring (Provisioned Throughput, CloudWatch). The Amazon Bedrock program runs over 4 days, delivered on site.
How is Amazon Bedrock training assessed?+
Assessment relies on advanced MCQ on Amazon Bedrock and use cases, evaluation through practical projects and code review and defense of a complete RAG agent at the end of the training. Learni issues a completion certificate together with the individual assessment report at the end of the Amazon Bedrock program, which an L&D team can file as evidence.
How much does Amazon Bedrock training cost per participant?+
$4,620 (USD) per participant. A detailed quote is sent within one business day, and team pricing applies from the second participant.
How long does Amazon Bedrock training take?+
4 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 Amazon 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 Amazon Bedrock training?+
Mastery of AWS (IAM, Lambda, S3), advanced Python, basics of LLMs and prompt engineering.
Is a certificate issued after Amazon 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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