The AWS Certified Generative AI Developer Professional certification covers foundation models, retrieval, agents, safety and evaluation on AWS, and this course follows the vendor exam outline.
AWS Certified Generative AI Developer Professional Course in Australia
The AWS Certified Generative AI Developer Professional certification, exam code AIP-C01, is a Professional level AWS credential for the GenAI developer role. The exam content covers foundation models, retrieval, agentic AI, safety and evaluation on AWS. This AWS generative AI developer course follows the five content domains in the AWS exam guide.
Who this course suits
This AWS Certified Generative AI Developer Professional course suits AI engineers, backend developers, data engineers and GenAI developers. It also suits machine learning engineers, software developers and solutions architects.
What this course covers
The syllabus covers foundation model integration, data management and compliance, implementation and integration, AI safety, security and governance, operational efficiency and optimization, and testing, validation and troubleshooting, with named AWS services such as Amazon Bedrock, Amazon Bedrock AgentCore and Amazon SageMaker AI. Training will help prepare candidates for the AWS Certified Generative AI Developer Professional AIP-C01 exam.
Logitrain has been delivering high-quality, cost-effective training since 2004.
AWS Certified Generative AI Developer Professional is a Professional level certification in the AWS certification program, written for the GenAI developer role. AWS organises its exam guide into five content domains, from foundation model integration to testing, validation and troubleshooting.
Logitrain provides digital course material, the price beat guarantee, and a choice of in-person, in-house or live online delivery. The exam is taken at any Pearson VUE test centre or online with Pearson VUE online proctoring.
AWS recommends 2 or more years of experience building production applications on AWS or open source technologies, general AI, ML or data engineering experience, and 1 year of hands-on experience with generative AI solutions. AWS lists no required prerequisites.
Candidates new to AI on AWS can start with the AWS Certified AI Practitioner course.
Candidates can achieve this certification by passing the following exam.
AIP-C01 AWS Certified Generative AI Developer Professional
The exam is not included in the course fee. It is booked and paid separately through Pearson VUE.
Attempt it at any Pearson VUE test centre, or online through Pearson VUE online proctoring from a private space with a camera, microphone and speaker.
Exam format: a maximum of 75 questions, 180 minutes, with a passing score of 750 on a scale of 100 to 1,000.
Digital course material included for the AIP-C01 AWS Certified Generative AI Developer Professional exam.
- Analysing requirements and designing GenAI solutions
- Designing and implementing enterprise integration architectures
- Designing and implementing vector store solutions
- Designing retrieval mechanisms for FM augmentation
- Implementing agentic AI solutions and tool integrations
- Implementing AI governance and compliance mechanisms
- Implementing application integration patterns and development tools
- Implementing cost optimisation and resource efficiency strategies
- Implementing data security and privacy controls
- Implementing data validation and processing pipelines for FM consumption
- Implementing evaluation systems for GenAI
- Implementing FM API integrations
- Implementing input and output safety controls
- Implementing model deployment strategies
- Implementing monitoring systems for GenAI applications
- Implementing prompt engineering strategies and governance for FM interactions
- Implementing responsible AI principles
- Optimising application performance
- Selecting and configuring FMs
- Troubleshooting GenAI applications
- AI engineers
- Backend developers
- Data engineers
- GenAI developers
- Machine learning engineers
- Software developers
- Solutions architects
- GenAI solution requirements and design
- FM selection and configuration
- Data validation and processing pipelines for FM consumption
- Vector store solutions
- Retrieval mechanisms for FM augmentation
- Prompt engineering strategies and governance for FM interactions
- AWS Well-Architected Framework
- AWS Well-Architected Tool Generative AI Lens
- Amazon Bedrock
- AWS Lambda
- Amazon API Gateway
- AWS AppConfig
- AWS Step Functions
- Amazon Bedrock Cross-Region Inference
- Amazon SageMaker AI
- Amazon SageMaker Model Registry
- Low-rank adaptation (LoRA)
- AWS Glue Data Quality
- Amazon SageMaker Data Wrangler
- Amazon CloudWatch metrics
- Amazon Bedrock multimodal models
- Amazon SageMaker Processing
- Amazon Transcribe
- Amazon Comprehend
- Amazon Bedrock Knowledge Bases
- Amazon OpenSearch Service with the Neural plugin for Amazon Bedrock
- Amazon RDS
- Amazon S3
- Amazon DynamoDB
- Amazon S3 object metadata
- Amazon Bedrock chunking capabilities
- Amazon Titan embeddings
- Amazon Bedrock embedding models
- Amazon Aurora with the pgvector extension
- Amazon Bedrock reranker models
- Model Context Protocol (MCP)
- Amazon Bedrock Prompt Management
- Amazon Bedrock Guardrails
- Amazon Bedrock Prompt Flows
- AWS CloudTrail
- Amazon CloudWatch Logs
- Amazon CloudWatch
- Agentic AI solutions and tool integrations
- Model deployment strategies
- Enterprise integration architectures
- FM API integrations
- Application integration patterns and development tools
- Strands Agents
- AWS Agent Squad
- IAM
- Amazon ECS
- MCP client libraries
- Strands API
- ReAct
- Amazon Bedrock provisioned throughput
- SageMaker AI endpoints
- Amazon EventBridge
- AWS Outposts
- AWS Wavelength
- AWS CodePipeline
- AWS CodeBuild
- Amazon Bedrock streaming APIs
- AWS SDK
- Amazon SQS
- AWS X-Ray
- AWS Amplify
- OpenAPI specifications
- Amazon Bedrock Data Automation
- Amazon Q Developer
- Amazon CloudWatch Logs Insights
- Input and output safety controls
- Data security and privacy controls
- AI governance and compliance mechanisms
- Responsible AI principles
- JSON Schema
- VPC endpoints
- AWS Lake Formation
- Amazon Macie
- Amazon Bedrock native data privacy features
- Amazon S3 Lifecycle configurations
- Amazon SageMaker AI model cards
- AWS Glue
- AWS Glue Data Catalog
- Amazon Bedrock agent tracing
- Cost optimization and resource efficiency strategies
- Application performance optimization
- Monitoring systems for GenAI applications
- Amazon Bedrock latency-optimized models
- Amazon Bedrock Model Invocation Logs
- Evaluation systems for GenAI
- Troubleshooting GenAI applications
- Amazon Bedrock Model Evaluations
- Amazon Bedrock Agent evaluations
- LLM-as-a-judge
- Schema validation
- AWS Certified AI Practitioner course: An AWS certification course in the AI area.
- Developing on AWS course: A related AWS development course.
- Advanced Developing on AWS course: A related advanced AWS development course.
- The Machine Learning Pipeline on AWS course: A related course on machine learning pipelines on AWS.
- AWS courses and certifications: The AWS course category at Logitrain.
What is the AWS Certified Generative AI Developer Professional certification?
AWS Certified Generative AI Developer Professional is a Professional level AWS certification written for the GenAI developer role. AWS publishes the exam content outline that this course follows.
What does the AWS Certified Generative AI Developer Professional course cover?
The course covers the five content domains in the AWS exam guide: foundation model integration, data management and compliance; implementation and integration; AI safety, security and governance; operational efficiency and optimization; and testing, validation and troubleshooting. Training will help prepare you for the AWS Certified Generative AI Developer Professional exam.
Is the exam included in the AWS Certified Generative AI Developer Professional course fee?
No. The official exam fee is not included in the course fee. The exam is booked and paid separately through Pearson VUE.
What are the prerequisites for the AWS Certified Generative AI Developer Professional course?
AWS recommends 2 or more years of experience building production applications on AWS or open source technologies, general AI, ML or data engineering experience, and 1 year of hands-on experience with generative AI solutions. AWS lists no required prerequisites.
What is the current exam version for AWS Certified Generative AI Developer Professional?
The course is built around the AWS Certified Generative AI Developer Professional exam. AWS publishes current exam details on its certification page for this exam, so that page is the place to confirm the latest version.
How long is the AWS Certified Generative AI Developer Professional course?
The length depends on the schedule option chosen. Full-time weekdays, part-time weeknights and part-time weekends are available, and the current duration is shown in the course details on this page.
Where is the AWS Certified Generative AI Developer Professional training held?
Training is held in Melbourne, Sydney, Brisbane, Adelaide, Perth and Canberra, plus live online across Australia. Logitrain can also deliver the course in house at a client site.
Which course should come before the AWS Certified Generative AI Developer Professional course?
Individuals new to AI on AWS can start with the AWS Certified AI Practitioner course.
What is included with the AIP-C01 AWS Certified Generative AI Developer Professional Course?
Certification of Attendance
Get a Certificate of Attendance to prove your commitment to learning
Authorised Test Centre
Take the official certification exam at Logitrain, a local VUE test centre or online
Includes Course Material
Course material in digital format is included for flexibility and ease of use
Includes Mock & Test Questions
Mock test is included in the full-time courses to assist with your preparation
Highly Skilled Trainers
Our trainers are highly skilled with expertise and extensive hands-on experience
Our Price Beat Guarantee
Relax, we will beat competitor’s advertised price. Our course has no extra costs
| Location | Type | Duration | Price | Dates | |
|---|---|---|---|---|---|
| Location | Type | Duration | Price | Dates |
The supply of this course/package/program is governed by our terms and conditions. Please read them carefully before enrolling, as enrolment is conditional on acceptance of these terms and conditions. Proposed course dates are given, course runs subject to availability and minimum registrations.
Our Vendor Partners
Why Choose Logitrain
Instructor-led industry certification training
Trained 15,000+ professionals and counting
Experienced Provider: Operating Since 2004
Trained staff from 2,500+ Australian BusinessesWhere Our Past Students Worked
SATISFIED CUSTOMERS
“Fantastic delivery! extremely knowledgeable trainer! great real-world experience with easy examples! convenient location!”
– Spiros L, Senior IT Officer at BOM, Rating: 5/5
“Everything was great, describing technologies in real world examples was fantastic. Logitrain has been a fresh surprise.”
– John D, ICT Manager at Glenvill, Rating: 5/5
“Thanks for a great week! Really enjoyed and feel I picked up a lot. Great Trainer! Will definitely look at further studies here.”
– Steven B, Senior Service Centre Analyst at News Corp Australia, Rating: 5/5
“The trainer was very patient and gave everybody the opportunity to participate. Got lots of opportunity for hands-on practise”
– Tim S, Solutions Architect at MSC Mobility Solutions, Rating: 5/5
SOME OF OUR CLIENTS
Logitrain has trained staff from over 2,500 organisations across Australia
