TrainingArtificial intelligence / AWS AIAWS-AIBS
AWS-AIBSAWS · authorised training
Become an AWS AI Business Strategist
An instructor-led course for business and technology leaders who shape, sponsor and scale AI initiatives in their organisations. Using case studies, participants work through the full cycle of an AI strategist's work. The cycle starts with diagnosing the customer's problem and ends with enterprise deployment. The course is built on the 3D framework (Discover, Design, Deliver). Day 2 is dedicated to simulations with instructor debriefing, in which participants carry out an end-to-end AI strategy challenge. Participants leave with strategic frameworks and guided walkthrough documents set in the context of the AWS AI ecosystem.
- Duration
- 2 days
- Level
- Beginner
- Provider
- AWS
- Topic
- Artificial intelligence / AWS AI
Course outline
- Welcome and course overview, access to labs and guides
- The AI business strategist's toolkit: the strategist's role, enterprise strategy layer, 3D framework, technical foundations
- Discover: diagnosing the customer's actual problem, assessing organisational readiness and data foundations
- Design: mapping problems to AI capabilities, governance and responsible AI, POC scope and pilot success criteria
- Deliver: building and evaluating the POC, bounded pilot, change management and scaling to the enterprise
- Agentic AI: multi-agent architectures, autonomy vs control, generation, evaluation and production
- Discover Together: use case introduction, framework review and simulation debrief
- Design Together: mapping pain points to AI capabilities, governance by design, POC scope and success criteria
- Deliver Together: building and evaluating the POC, bounded pilot and scaling to an enterprise platform
- Summary and next steps for continued learning
Skills you will gain
- Transform ambiguous business challenges into scoped problem statements suitable for AI
- Apply the 3D framework (Discover, Design, Deliver) to assess organisational readiness and map problems to AI capabilities
- Evaluate trade-offs between business objectives and responsible AI principles – value, feasibility, risk and ethics
- Design pilots with measurable success criteria and phased scaling paths to enterprise deployment
- Lead AI change management by addressing workforce concerns and structuring cross-functional teams
- Explain core AI and GenAI concepts to evaluate solution feasibility and inform build-buy-partner decisions
Who should attend
- Business executives and senior leaders responsible for AI strategy
- Product managers and programme managers driving AI initiatives
- IT and technology leaders overseeing AI adoption
- Risk, compliance and governance professionals
- Change management and HR leaders supporting AI transformation
Prerequisites
- Business or technology leadership experience
- Familiarity with enterprise technology initiatives
- Basic understanding of cloud computing concepts
- Optional: AWS Cloud Practitioner Essentials (foundational cloud literacy)
4400 PLN
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