Faysal AzizAWS Generative AI
Agentic AI for Executives using Amazon Quick
Why this course
Duration: 3 Hours
This executive briefing introduces participants to the transition from Generative AI to Agentic AI using Amazon Quick as the enterprise platform. The session focuses on practical business productivity, AI-assisted workflows, enterprise search, reporting automation, and responsible AI governance for non-technical decision makers.
Delivered by an instructor with over 30 years of industry experience using practical real-world enterprise scenarios.
Learning outcomes
By the end of the session, participants will be able to:
- Understand Generative AI vs Agentic AI
- Recognize enterprise AI use cases
- Understand how Amazon Quick supports AI workflows
- Apply effective prompting techniques
- Understand AI workflow automation concepts
- Identify governance and security considerations
- Evaluate opportunities for AI adoption in business operations
Prerequisites
- Basic understanding of business reporting concepts
- No coding knowledge required
- No prior AWS experience required
4 modules
01Introduction to Generative AI and Agentic AI5 topics
- Generative AI fundamentals
- Foundation Models overview
- Evolution from AI assistants to AI agents
- Business productivity transformation
- Executive and public sector use cases
- Customer service assistants
- Performance reporting
- Document and policy search
02Prompt Engineering for Executives7 topics
- Fundamentals of prompting
- Structuring effective prompts
- Zero-shot prompting
- Few-shot prompting
- System prompts
- Prompt chaining concepts
- Executive productivity scenarios
- Report generation
- Email drafting
- Meeting summaries
03Amazon Quick Enterprise AI Platform7 topics
- Introduction to Amazon Quick
- AI-powered enterprise search
- Quick Index capabilities
- Quick Research features
- AI-assisted report generation
- Quick Sight business intelligence capabilities
- Natural language analytics and dashboards
04Agentic Workflows and Responsible AI8 topics
- AI workflow automation concepts
- Multi-step business processes
- Custom AI chat agents
- Shared enterprise knowledge
- Responsible AI principles
- Fairness
- Explainability
- Safety
- Executive security considerations
- Buy vs Build AI risk considerations
- AI adoption strategy discussion
Tentative Delivery Flow
Hour 1
- Introduction to Generative & Agentic AI
- Business Use Cases
Hour 2
- Prompt Engineering
- Amazon Quick Platform Overview
Hour 3
- Agentic Workflows
- Responsible AI & Security
- Executive Discussion and Q&A
This outline serves as a general guideline and may be adjusted, refined, or reorganized by the trainer to accommodate participant requirements, organizational priorities, evolving technologies, and session pacing considerations without prior notice.
A programme built around your team.
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