AWS Certified AI Business Strategist (AIB-C01) Course

  • Duration 3 days or 3 weeks
  • Price From $1,699
  • Includes Price Beat Guarantee
  • Schedule Options Full-Time (Weekdays), Part-Time (Weeknights), Part-Time (Weekends)
  • Study Mode Instructor-led, in-person or live online
  • Locations Melbourne, Sydney, Brisbane, Adelaide, Perth and Canberra, plus live online across Australia

The AWS Certified AI Business Strategist certification covers AI strategy, governance and organisational change for business professionals, and this course follows the vendor exam content outline.

AWS Certified AI Business Strategist Course in Australia

The AWS Certified AI Business Strategist certification, exam code AIB-C01, is a Business category AWS credential for professionals who evaluate, champion or scale AI initiatives. The exam content covers AI fundamentals, strategy, governance and organisational transformation. This AWS Certified AI Business Strategist course follows those four content domains.

Who this course suits

This course suits business analysts, consultants, line-of-business managers and marketers. It also suits product managers, program managers and sales professionals.

What this course covers

The syllabus covers AI fundamentals and literacy, AI strategy and business value creation, AI governance and responsible AI leadership, and business readiness, leadership and AI transformation. The exam does not test building AI solutions or configuring AWS services. Training will help prepare candidates for the AWS Certified AI Business Strategist AIB-C01 exam.

Logitrain has been delivering high-quality, cost-effective training since 2004.

AWS Certified AI Business Strategist sits in the Business certifications group of the AWS certification program. AWS states that the exam prioritises strategic decision making over technical implementation, with AWS services appearing as context.

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 lists no coding experience, AWS implementation experience or other AWS Certifications as requirements. AWS recommends basic familiarity with AI concepts and a baseline of 6 months working with or alongside teams adopting AI.

Candidates can achieve this certification by passing the following exam.
AIB-C01 AWS Certified AI Business Strategist
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: multiple choice and multiple response questions, with a passing score of 700 on a scale of 100 to 1,000.

Digital course material included for the AIB-C01 AWS Certified AI Business Strategist exam.

  • Applying GenAI concepts and techniques
  • Applying responsible AI principles to business decisions
  • Assessing AI business readiness and maturity
  • Describing core AI concepts and defining terminology
  • Developing AI strategies that align with business objectives
  • Establishing AI governance structures and ensuring regulatory compliance
  • Establishing data and infrastructure foundations for AI
  • Identifying and selecting appropriate AI solution types
  • Identifying enterprise AI risks and directing mitigation strategies
  • Leading enterprise-wide change and building workforce capabilities for AI
  • Measuring and demonstrating AI business value
  • Positioning AI for competitive advantage
  • Scaling AI from pilots to enterprise-wide deployments
  • Business analysts
  • Consultants
  • Line-of-business managers
  • Marketers
  • Product managers
  • Program managers
  • Sales professionals
  • AI concepts and terminology
  • AI solution types
  • GenAI concepts and techniques
  • Algorithms
  • Models
  • Training
  • Inference
  • Predictions
  • AI, machine learning and generative AI
  • Structured and unstructured data
  • Data quality
  • Training an AI model by using historical data
  • ISO/IEC 23053
  • ISO/IEC 42001
  • Rule-based automation
  • AI agents
  • Autonomy
  • Tool use
  • Agent-to-agent communication
  • Orchestration strategies
  • Model drift
  • Shadow AI
  • Prompt engineering
  • Token limits
  • Context windows
  • Retrieval Augmented Generation (RAG)
  • Fine-tuning
  • AI strategies aligned with business objectives
  • AI business value
  • AI for competitive advantage
  • Customer operations
  • Sales and marketing
  • Research and development
  • Software development
  • Build-buy-partner decisions
  • Scale, pause or terminate decisions
  • Business continuity
  • Cost implications
  • Data readiness
  • Performance impact
  • Key performance indicators (KPIs)
  • Return on investment (ROI)
  • Time savings
  • Cost reduction
  • Revenue growth
  • Productivity gains
  • Cost planning and optimisation strategies
  • Responsible AI principles in business decisions
  • Fairness
  • Explainability
  • Privacy
  • Safety
  • Transparency
  • Robustness
  • AI governance structures and regulatory compliance
  • Enterprise AI risks and mitigation strategies
  • Hallucination detection
  • Guardrails
  • Escalation criteria
  • Access controls
  • Data security measures
  • AI risk classification frameworks
  • Intellectual property (IP)
  • Hallucinations
  • Data quality degradation
  • AI business readiness and maturity
  • Data and infrastructure foundations for AI
  • Enterprise-wide change and workforce capabilities for AI
  • Scaling AI from pilots to enterprise-wide deployments
  • Leadership alignment
  • Cultural preparedness
  • Technical infrastructure
  • Governance frameworks
  • AI maturity models
  • Experimentation
  • Enterprise-scale deployment
  • People
  • Process
  • Technology
  • Governance
  • Data silos
  • Data strategies
  • Data ownership
  • Data sharing frameworks
  • Legal and compliance
  • Proof of concept (POC)
  • Hackathons
  • Training programs
  • Responsible AI training
  • Critical thinking
  • Empathy
  • Creativity
  • Envision, experiment, launch and scale
  • Centres of excellence (COEs)
  • Amazon Bedrock
  • Amazon SageMaker AI
  • Amazon Quick
  • AWS Cloud Adoption Framework (AWS CAF)
  • AWS shared responsibility model
  • AWS AI pricing and cost optimisation strategies
  • AWS AI service pricing structures
  • AWS Cost Explorer
  • AWS Marketplace
  • AWS Pricing Calculator
  • Amazon Bedrock Guardrails
  • Amazon Bedrock Knowledge Bases
  • Amazon Bedrock pricing tiers
  • AWS Well-Architected Framework Responsible AI Lens
  • Savings Plans
Get our expert trainers at your premises. Logitrain Customised Team can tailor the course to meet your organisation's specific learning and development needs and business goals.
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Got a team to train? Logitrain delivers the AWS Certified AI Business Strategist course in house at the client site anywhere in Australia, with a skilled trainer and digital course material, on dates that suit the business.

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What is included with the AWS Certified AI Business Strategist (AIB-C01) Course?
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Logitrain is an Authorised Pearson VUE Test Centre.
Authorised Test Centre

Take the official certification exam at Logitrain, a local VUE test centre or online

Logitrain courses, programs and packages includes course material.
Includes Course Material

Course material in digital format is included for flexibility and ease of use

Logitrain courses, packages and programs includes sample practise questions.
Includes Mock & Test Questions

Mock test is included in the full-time courses to assist with your preparation

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