Training AWS Bedrock - Mastering Advanced Generative AI

$3,465

  • 3 days
  • Onsite
  • 10 people max.
Ref: NYN142
10 people max.
$3,465
In-company rate: from $6,290 for the whole team
On-site and certification exam on quote
3 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastery of AWS Bedrock, 70% of generative AI projects fail according to Gartner, resulting in costs multiplied by 3 from unnecessary development and wasted time.

  • Companies without the capability lose 25% competitiveness against rivals adopting AI, along with risks of data leaks through unsecured tools.

  • Your career stagnates: promotions blocked, salaries 20% lower without AI expertise.

  • Invest now to turn these risks into lasting strategic advantages.

Allan BUSI, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI 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

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

AWS Bedrock training objectives

  • Master AWS Bedrock APIs to integrate generative AI models in enterprise settings
  • Develop autonomous AI agents with Guardrails and customization tools
  • Configure Knowledge Bases for contextualized and secure responses
  • Optimize performance and costs of custom models in a professional environment
  • Implement advanced RAG pipelines for certified applications
  • Acquire certifying skills in AWS Bedrock to boost your career

Program

AWS Bedrock curriculum: 3 modules over 3 days

Module 1 : AWS Bedrock Fundamentals: APIs and Foundation Models (Claude, Titan, Llama)

Discover Bedrock APIs to invoke generative AI models, explore advanced prompt engineering with practical exercises on Claude and Titan, configure first simple agents via the AWS console, analyze tokenized responses, test basic fine-tunings on enterprise datasets, and produce your first functional deliverables in 7 hours of intensive hands-on.

Module 2 : AWS Bedrock Agents: Guardrails, Knowledge Bases, and RAG (Vector Tools)

Dive into creating autonomous AI agents with Guardrails to filter sensitive content, integrate Knowledge Bases via Amazon OpenSearch, implement RAG pipelines with Titan embeddings, simulate real enterprise cases like intelligent chatbots, optimize queries for scalability, and deploy secure prototypes, all in collaborative workshops over 7 hours of practice.

Module 3 : AWS Bedrock Optimization: Custom Models, Monitoring, and Production Deployment (CloudWatch)

Master custom Bedrock models with advanced fine-tuning on private data, configure monitoring via CloudWatch and X-Ray for optimal performance, reduce costs with provisioned throughput, deploy to production via Lambda and API Gateway, evaluate with business metrics, and complete a certifying capstone project in 7 hours, ready for the enterprise.

How AWS Bedrock skills are assessed

  • Technical quizzes and daily practical exercises
  • Real-world case studies with personalized feedback
  • Final capstone project evaluated by AWS experts

How the AWS Bedrock course is taught

  • Hands-on method with real and unlimited AWS labs
  • Real cases from Fortune 500 companies
  • Individual mentoring by certified trainers
  • Scalable simulations for production environments

AWS Bedrock training: access and practical arrangements

The Training AWS Bedrock - Mastering Advanced Generative AI 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 - Mastering Advanced Generative AI 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 - Mastering Advanced Generative AI 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

How Learni guarantees the quality of your AWS Bedrock training

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

AWS Bedrock: frequently asked questions

Which tools are used in AWS Bedrock training?+
Hands-on work runs on claude, titan, llama, vector Tools and cloudWatch. 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 APIs to integrate generative AI models in enterprise settings, develop autonomous AI agents with Guardrails and customization tools and configure Knowledge Bases for contextualized and secure responses. 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: AWS Bedrock Fundamentals: APIs and Foundation Models (Claude, Titan, Llama). Day 2: AWS Bedrock Agents: Guardrails, Knowledge Bases, and RAG (Vector Tools). Day 3: AWS Bedrock Optimization: Custom Models, Monitoring, and Production Deployment (CloudWatch). The AWS Bedrock program runs over 3 days, delivered on site.
How is AWS Bedrock training assessed?+
Assessment relies on technical quizzes and daily practical exercises, real-world case studies with personalized feedback and final capstone project evaluated by AWS experts. 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 costs $3,465 per participant. For an in-company team, the flat rate starts at $6,290 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
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?+
Advanced mastery of AWS (EC2, Lambda, S3, IAM), fluent Python programming, solid knowledge of machine learning and REST APIs.
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.
Does Learni provide the equipment for AWS Bedrock training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
Your professional training, anywhere

Let's build your AWS Bedrock learning path.

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