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The AWS AI Landscape in 2026: From Generative to Agentic — What Your Team Needs to Know
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Course Description
Overview
This session helps technical leaders cut through AI noise and understand how generative and emerging agentic capabilities are actually taking shape on AWS. The focus is on what’s real, what’s ready, and what requires caution, so leaders can guide teams with confidence.Key Takeaways
- Clear view of where AWS AI is mature vs early-stage
- Practical lens for assessing readiness and risk
- Confidence guiding AI adoption without overreach
Objectives
Audience
- IT Directors, Cloud Program Managers, Technical Project Managers
Topics
- AWS AI landscape (2026)
- Generative AI vs Agentic AI in practice
- Where these capabilities sit across the AWS stack
- Emerging agentic patterns
- MCP, AgentCore, Kiro and multi-step AI workflows
- How autonomy changes risk and oversight
- Readiness and risk
- Production-ready vs experimental use cases
- Common failure modes as AI systems gain autonomy
- Decision-making clarity
- Evaluating AI roadmaps and vendor claims
- Communicating capabilities and limits to stakeholders
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