| 1.1 · Analyze requirements and design GenAI solutions |
01 Foundation Models and Generative AI, 06 Production Retrieval and Context Engineering |
| 1.2 · Select and configure FMs |
01 Foundation Models and Generative AI, 02 Prompt Engineering, RAG and Fine-Tuning, 06 Production Retrieval and Context Engineering |
| 1.3 · Implement data validation and processing pipelines for FM consumption |
02 Prompt Engineering, RAG and Fine-Tuning, 06 Production Retrieval and Context Engineering |
| 1.4 · Design and implement vector store solutions |
02 Prompt Engineering, RAG and Fine-Tuning, 06 Production Retrieval and Context Engineering |
| 1.5 · Design retrieval mechanisms for FM augmentation |
02 Prompt Engineering, RAG and Fine-Tuning, 06 Production Retrieval and Context Engineering |
| 1.6 · Implement prompt engineering strategies and governance for FM interactions |
02 Prompt Engineering, RAG and Fine-Tuning, 06 Production Retrieval and Context Engineering |
| 2.1 · Implement agentic AI solutions and tool integrations |
03 Agents, Tools and AWS AI Platforms, 07 Agent Integration, Inference APIs and Operations |
| 2.2 · Implement model deployment strategies |
01 Foundation Models and Generative AI, 07 Agent Integration, Inference APIs and Operations |
| 2.3 · Design and implement enterprise integration architectures |
07 Agent Integration, Inference APIs and Operations |
| 2.4 · Implement FM API integrations |
07 Agent Integration, Inference APIs and Operations |
| 2.5 · Implement application integration patterns and development tools |
07 Agent Integration, Inference APIs and Operations |
| 3.1 · Implement input and output safety controls |
05 AI Security, Privacy and Governance, 07 Agent Integration, Inference APIs and Operations |
| 3.2 · Implement data security and privacy controls |
05 AI Security, Privacy and Governance, 06 Production Retrieval and Context Engineering |
| 3.3 · Implement AI governance and compliance mechanisms |
05 AI Security, Privacy and Governance, 07 Agent Integration, Inference APIs and Operations |
| 3.4 · Implement responsible AI principles |
04 Evaluation and Responsible AI, 05 AI Security, Privacy and Governance |
| 4.1 · Implement cost optimization and resource efficiency strategies |
01 Foundation Models and Generative AI, 07 Agent Integration, Inference APIs and Operations |
| 4.2 · Optimize application performance |
06 Production Retrieval and Context Engineering, 07 Agent Integration, Inference APIs and Operations |
| 4.3 · Implement monitoring systems for GenAI applications |
07 Agent Integration, Inference APIs and Operations |
| 5.1 · Implement evaluation systems for GenAI |
04 Evaluation and Responsible AI, 08 GenAI Testing and Failure Diagnosis |
| 5.2 · Troubleshoot GenAI applications |
06 Production Retrieval and Context Engineering, 07 Agent Integration, Inference APIs and Operations, 08 GenAI Testing and Failure Diagnosis |
