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Cloud

AWS AI/ML

The AWS AI/ML training is an intensive two-day course focused on the practical use of AWS services for building, training, and deploying machine learning models.

Duration
16h · 2 days
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Who it's for

Ideal for teams that…

1 Developers and data engineers who want to expand their skills in machine learning on AWS
2 Data scientists and data analysts seeking to train and deploy ML models in production environments
3 IT specialists who want to use AWS AI/ML to automate data processing and predictions
Outcomes after the program

Cloud, automation and CI/CD in practice — hands-on for engineering teams.

✓

Basic knowledge of Python programming

✓

Basic understanding of machine learning

✓

Experience with cloud services (an advantage, but not mandatory)

Program · 2 modules

What we actually do

M01
Day 1: Introduction to AWS AI/ML and Predictive AI
  • · Introduction to the AWS ecosystem and its AI/ML services
  • · Configuring the AWS environment and managing access
  • · Importing and processing data in AWS S3
  • · Conducting EDA using AWS Glue and AWS Data Wrangler
  • · Introduction to Amazon SageMaker
  • · Automating model training with SageMaker Autopilot
  • · Deploying and monitoring models via SageMaker Endpoint
  • · Workshop: Training the first model – hands-on exercises with a real dataset
  • · Model evaluation and results analysis
M02
Day 2: Advanced Techniques and Practical Applications with Generative AI
  • · Overview of Amazon Bedrock and foundation models for generative AI
  • · Customizing foundation models
  • · Using RAG (Retrieval-Augmented Generation) to enhance GenAI intelligence
  • · Integrating GenAI with external systems – GenAI agents in action
  • · Applying guardrails as protective mechanisms for AI models
  • · Hands-on exercises with Amazon Bedrock and Large Language Models (LLMs)
Every module is adapted to your stack and context. The above is a starting point — not a fixed agenda.
How we work

From brief to retro in 30 days.

01

Brief & diagnosis

A call with the team lead + a short survey for participants. We define goals, gap and context.

02

Program customization

We adapt modules, case studies and code examples to your stack. Approval in 5 days.

03

Workshop

Trainer-led sessions, hands-on, code review. Mentor available between sessions too.

04

Retro + report

Outcome report for the team and lead. 30 days of consulting included.

Inquiry

Send a brief. We'll reply within 1 day.

After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.

✓Quote within 48h of the brief
✓First session within 30 days
✓Pilot before the full decision
✓VAT invoice, payment in instalments possible

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