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Home/Online IT Training Worldwide/Australia/Generative AI & RAG Engineering

Generative AI Course Online in Australia

Build generative AI applications on your own data: embeddings, vector databases, retrieval-augmented generation (RAG), evaluation and deployment, with live online classes in Australian evenings and weekends.

12 Weeksduration

Liveonline classes

76hours

A$1,210fee · save up to 15%

Course fee A$1,210. Save up to 15%: from A$1,025. Ask an advisor about the offer for your batch.

Ask about the next batch →Full course details

How live online classes work

Live video classes with a working engineer, with session recordings shared for revision
Hands-on labs on cloud accounts you can reach from anywhere
1:1 mentoring sessions booked at a time that suits you
Fees in Australian dollars (AUD); we share the payment options when you enrol

Jobs and certifications in Australia

Roles you can apply for

Generative AI Engineer
AI / LLM Application Developer
AI Engineer

Certifications employers ask for

AWS Certified AI Practitioner (AIF-C01) and Generative AI Developer – Professional (AIP-C01)
Microsoft Azure AI Apps and Agents Developer Associate (AI-103)

Australian organisations are adopting generative AI with a focus on responsible use, in line with the national AI ethics principles; RAG and evaluation skills are valued.

What you'll learn

8 modules · 76 hours · hands-on labs in every module

Python fundamentals12 hrs
LLM fundamentals8 hrs
Building with LLM APIs8 hrs
Retrieval-augmented generation (RAG)12 hrs
AI agents10 hrs
AI and ML on AWS12 hrs
LLMOps8 hrs
Career launch6 hrs

See every lesson and lab in the full syllabus →

Projects you'll build

PROJECT 01

Customer-support agent that looks up orders

Hands-on project from the AI agents module.

PROJECT 02

Build a Bedrock-powered assistant over company documents

Hands-on project from the AI and ML on AWS module.

PROJECT 03

Evaluation harness that scores every release

Hands-on project from the LLMOps module.

FAQ

Do I need to know machine learning?+

No deep ML is needed. You need Python; the course teaches how to build on top of large language models.

Which models will I use?+

Commercial and open models through their APIs; the full syllabus lists them.

Are the classes live or recorded?+

Live with a trainer. Session recordings are shared with you for revision, so you can catch up if you miss a class.

Will the batch times suit my time zone?+

Batches run in Australian evenings and weekend mornings (Sydney/Melbourne time; Perth is 2–3 hours earlier). Tell us your city and we'll confirm the slot that suits you best.

Do I get a certificate?+

Yes, a SOTT certificate of completion. Vendor exams (CompTIA, Cisco, AWS, Microsoft, CNCF and others) are booked and paid with the provider, and we prepare you for them.

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