Aestas

Training that changes how work gets done

Our training is designed to build real AI fluency inside teams — not just tool familiarity. We teach AI, machine learning, agents, and cloud platforms in the context of real roles and real workflows.

Why most AI training doesn’t stick

Many teams attend AI training, but behaviour doesn’t change. Tools are demonstrated, notebooks are shared — and daily work continues as before.

Our approach to training

Embedded in real workflows

Training is delivered using your tools, data, and workflows wherever possible — so learning maps directly to work.

Role-based, not generic

We tailor training to how different roles use AI — leaders, operators, technologists, and practitioners learn different things.

Designed for execution

Training surfaces opportunities for automation, agents, and workflow redesign — often becoming the foundation for consulting and implementation.

Training domains

We deliver training across core AI and technology domains, adapting depth and focus based on the audience and objectives.

Applied AI foundations

Practical understanding of modern AI systems, capabilities, limitations, and safe usage — focused on real business contexts.

Machine learning for practitioners

Applied machine learning concepts for teams building or working with models — emphasizing interpretation, integration, and operational impact.

Agent design and orchestration

Training on designing AI agents, defining boundaries, orchestrating tools, and embedding agents into workflows responsibly.

AI and ML on Microsoft Azure

Enablement for teams using Microsoft Azure — covering AI services, machine learning platforms, integration, and operational considerations.

Who this training is for

How training engagements work

What usually comes next

Training often reveals opportunities to redesign workflows, deploy agents, or remove manual bottlenecks. Many clients continue into consulting engagements once priorities become clear.

Start with the right level of training

We’ll help you decide what kind of training makes sense — and whether it should stand alone or form part of a broader enablement effort.