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Built for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone
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Training Amazon AI: Mastering AWS Artificial Intelligence Solutions

Ref: RRU600
8 people max.
From $2,310 HT / per person
Pay in 3 installments · On-site on request · +$540 with certification exam
2 days
Remote

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Learning objectives

  • Discover and understand the range of Amazon AI services on AWS
  • Configure and deploy AI workflows in the Amazon cloud
  • Manipulate Amazon SageMaker to build, train, and deploy models
  • Use ready-to-use services: Amazon Rekognition, Amazon Lex, Amazon Polly
  • Manage security and costs of Amazon AI projects

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 1Introduction to AI on AWS and Overview of Amazon AI Services

Presentation of artificial intelligence on the AWS Cloud. Key differences between Machine Learning, Deep Learning, and traditional AI. Discovery of the AI ecosystem, managed vs. customized services. Concrete use cases of AI on Amazon (automation, text/image analysis, voice assistants, etc.). Hands-on with the AWS interface and first steps with Amazon AI Platform.

Module 2Manipulating SageMaker and Operational Machine Learning

Principles and architecture of SageMaker. Building an ML pipeline: data preparation, training, evaluation, and model deployment. Using AutoML, collaboration with Jupyter Notebooks, version management. Securing data and best practices to optimize performance and cost. Practical exercises: image classification and anomaly detection.

Module 3Ready-to-Use AI: Amazon Rekognition, Lex, Comprehend, and Polly

Presentation and hands-on with ready-to-use Amazon AI services: Rekognition (image and video analysis), Lex (voice and text chatbot), Comprehend (automatic language analysis), Polly (text-to-speech). Integration scenarios into business applications. Practical workshops: developing an assistant via Lex, document analysis with Comprehend, automated audio creation with Polly. Managing permissions, security, monitoring, and cost analysis.

Module 4Deploying and Monitoring a Complete Amazon AI Project

Designing an end-to-end AI project on AWS. Deploying models in production. Monitoring performance and managing logs via CloudWatch. Scaling strategies, optimization, and workflow automation. Security audit, data governance, and compliance with regulations (GDPR).

Module 5Case Studies and Practical Workshops

Realization of supervised mini-projects to integrate multiple Amazon AI services into a real application: recommendation engine, document management automation, intelligent customer support. Feedback, developing a roadmap to industrialize AI solutions on AWS. Q&A time and personalized coaching.

Evaluation method

  • Multiple-choice quiz at the end of the training
  • Completion of a supervised practical case
  • Continuous assessment during workshops

Learning method

  • Theoretical courses and live demonstrations
  • Step-by-step exercises on AWS
  • Real-world case studies and project workshops
  • Downloadable course materials
  • Access to supplementary resources (videos, articles, source code)

Methods, materials and delivery

The Training Amazon AI: Mastering AWS Artificial Intelligence Solutions 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 AI: Mastering AWS Artificial Intelligence Solutions 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 AI: Mastering AWS Artificial Intelligence Solutions 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.

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FAQ

Frequently asked questions

How much does the Training Amazon AI: Mastering AWS Artificial Intelligence Solutions training cost?+
The individual price is $2,310 (USD). A detailed quote is sent within one business day.
How long is the Training Amazon AI: Mastering AWS Artificial Intelligence Solutions training?+
The training lasts 2 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 knowledge of AWS Cloud and Python or JavaScript programming languages
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.
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