Skip to main content
April consultation spots are limited — we take a limited number each month. Book your free consultation →
AWS AI Training • Structured by Capability Level

Your Organisation Is Leveraging AWS. Now Build Your Team’s AI Capability.

Five structured training levels — from AI Fluency (2 days) to ML Engineering (6 days) — aligned to Amazon Bedrock, SageMaker, Amazon Q, Comprehend and Textract. Find your team’s level. Get a clear plan.

Video Placeholder

60–90 sec intro from Trent

Audit your team’s AI capability. Identify the gaps. Invest where it matters most.

Book Your Free 45-Min Consultation →

( No commitment  •  We’ll assess your level and recommend a program  •  Free )

Your Free AI Capability Consultation

45 Min
Complimentary consultation
5 Stages
AI Fluency to ML Mastery
Tailored
To your team's maturity & goals
AWS
Bedrock, SageMaker, Q & more

Your Organisation Is Leveraging AWS.
Can Your Team Fully Utilise the AI Services Available?

Most teams lack the clarity, confidence, and a structured path to move from AI experimentation to enterprise-ready execution.

AI Initiatives Stall After the Pilot

POCs get built but don’t make it to production. The team knows enough to experiment but not enough to ship.

Different Roles Need Different Skills

Architects, developers, data engineers, and leaders all have different capability gaps — but most training treats them the same.

No Structured Path from Awareness to Execution

People attend a course, get inspired, then go back to their day job. There’s no progression, no follow-through, no measurable outcome.

Hard to Justify the Investment to Leadership

Without a clear program structure — days, levels, outcomes — it’s difficult to get budget approval for team-wide AI upskilling.

We’ve structured our AWS AI training into five levels — so you invest in exactly what your team needs.

AWS AI Training • Structured by Capability Level

Five Levels. Find Yours.

Each level is a defined training program with specific courses, days, and certification alignment. Most teams start at Level 1 or 2 and build from there.

Level 1 — Where Most Teams Start

AI Fluency

Goal: Shared understanding across the organisation

You’re here if: Your team knows AI matters but lacks a shared understanding of what’s possible on AWS.

You’ll leave with: Shared AI language across the org. Everyone understands Bedrock, SageMaker, Q at a strategic level.

Courses
Generative AI Essentials on AWS (1 Day) Agentic AI Foundations (1 Day)

Total Training Days = 2 Days

Certification Aligned
AWS Certified AI Practitioner - Foundational
Level 2

AI Builders

Goal: Hands-on GenAI / AI development

You’re here if: Your team has foundational awareness but hasn’t built anything hands-on with GenAI yet.

You’ll leave with: Working prototypes using Bedrock. Prompt engineering patterns. Confidence to build.

Courses
Agentic AI Foundations (1 Day) Developing Generative AI Apps on AWS (2 Day)

Total Training Days = 3 Days

Certification Aligned
Builds toward Level 3 certification
Level 3

Intelligent Systems

Goal: Workflow automation, multi-step AI, integration

You’re here if: Your team can build basic GenAI apps but needs to move to agentic workflows and automation.

You’ll leave with: Multi-step AI systems. Agentic architecture. AWS Certified GenAI Developer alignment.

Courses
Agentic AI Foundations (1 Day) Developing GenAI Apps on AWS (2 Day) Building Agentic AI with Bedrock AgentCore (1 Day) Building Advanced Agentic Systems (1 Day) Advanced Generative AI Development (3 Day)

Total Training Days = 8 Days

Certification Aligned
AWS Certified Generative AI Developer - Professional
Level 4

AI Engineering

Goal: Production-grade AI

You’re here if: Your team is building AI apps but needs production-grade data engineering and architecture.

You’ll leave with: Production-ready AI pipelines. Data engineering on AWS. Certified Data Engineer alignment.

Courses
Advanced Generative AI Development (3 Day) Data Engineering on AWS (3 Day) Building Data Analytics Solutions (4 Day) Data Warehousing on AWS (3 Day)

Total Training Days = 13 Days

Certifications Aligned
AWS Certified GenAI Developer - Professional AWS Certified Data Engineer - Associate
Level 5

ML Engineering

Goal: Full AI ownership

You’re here if: Your team is ready to own the full ML lifecycle — training, deployment, monitoring.

You’ll leave with: SageMaker pipelines. MLOps discipline. AWS ML Engineer certification alignment.

Courses
Machine Learning Engineering on AWS (3 Day) MLOps Engineering on AWS (3 Day)

Total Training Days = 6 Days

Certifications Aligned
AWS Certified ML Engineer - Associate AWS Certified ML Engineer - Specialty

Not sure which level fits your team?

Book Your Free 45-Min Consultation →

We’ll assess your team’s current capability and recommend the right program — with a proposal you can take to leadership.

What You’ll Walk Away With

More Than a Conversation —
A Specific Assessment You Can Act On

Not a generic conversation. A 45-minute consultation with specific recommendations tailored to your organisation.

Your Team’s Level

We’ll assess where your team currently sits across the five capability levels — and where the gaps are by role.

A Recommended Program

You’ll get a specific program recommendation: which level, which courses, how many days, and how it maps to your team’s goals.

A Proposal for Leadership

We’ll give you the numbers you need — days, team size, investment, and expected outcomes — so you can take a clear proposal to whoever approves the budget.

How It Works

Step 1

Complete a Quick Profile

Team size, goals, current AWS usage — under 60 seconds.

Step 2

Book Your Time

Free 45-min consultation with Trent via Google Meet.

Step 3

Receive Your Assessment

Your team’s level + a program recommendation you can act on.

Australia’s Leading AWS Training Partner.

AI makes innovation possible, but it’s people who make it happen. We’ve spent 13+ years making sure those people are ready — our record speaks for itself.

13+
Years AWS Training Partner
40,050+
Professionals Trained
250+
AI Capability Initiatives
Advanced Tier
Highest AWS Training Partner Level in ANZ

Trusted by organisations including

Accenture
Australian Taxation Office
Deloitte
NSW Health
Capgemini
Kyndryl
Department of Home Affairs
Tata Consultancy Services
City of Melbourne
Leidos
Datacom
Healthdirect Australia
Versent
MetService New Zealand
NAB
Macquarie Group
Commonwealth Superannuation
AGL
Common Questions

Frequently Asked Questions

How long is the AI Capability Consultation? +

The consultation is a free 45-minute session. We'll assess your team's current AI maturity, identify capability gaps across architecture, data, engineering, and leadership, and outline a tailored pathway aligned to your strategic goals.

Is there any obligation after the consultation? +

None at all. The consultation is complimentary and no-obligation. You'll walk away with a clear understanding of where your team stands and what a structured AI capability pathway could look like — whether you choose to work with us or not.

What AWS AI services does the pathway cover? +

The pathway is built around core AWS AI services including Amazon Bedrock, Amazon SageMaker, Amazon Q, Amazon Comprehend, and Amazon Textract — progressing from foundational AI fluency through to production ML engineering.

Who should participate in the consultation? +

The session is ideal for AI team leads, AWS practitioners, CTOs, CIOs, Heads of Cloud, Data, and Engineering — anyone responsible for building AI capability within their organisation.

Do I need to prepare anything? +

No formal preparation is needed. It helps to have a general sense of your team's current AWS usage, AI maturity level, and biggest capability challenges — but we'll guide the conversation from there.

Why is this structured into levels instead of individual courses? +

Because individual courses don’t build lasting capability. The levels give your team a progression path — and give you a way to measure and plan investment over time. Each level has defined courses, days, and certification alignment so you can match the program to your team’s current maturity.

Can we enrol multiple people from the same team? +

Absolutely — most of our programs run for teams of 10–30. The consultation will help us size the right program for your group and align it to your timeline.

Find Your Level

Find Your Team’s Level.

It takes 60 seconds to complete your profile. Then book a free 45-min consultation with Trent — and walk away with a clear program recommendation you can take to leadership.

Book Your Free Consultation →
No commitment Free 45-min consultation Program proposal included