Advanced Generative AI Development on AWS
ابنِ حلول ذكاء اصطناعي توليدي بمستوى الإنتاج على AWS. تختار النماذج الأساسية وتهيّئها، وتُعدّ البيانات، وتطبّق البحث المتّجهي والاسترجاع، وتضع ضوابط لحوكمة الأوامر، وتدمج الأدوات والوكلاء، ثم تؤمّن حلّك وتحسّنه وتراقبه.
نظرة عامة
ابنِ حلول ذكاء اصطناعي توليدي بمستوى الإنتاج على AWS. تختار النماذج الأساسية وتهيّئها، وتُعدّ البيانات، وتطبّق البحث المتّجهي والاسترجاع، وتضع ضوابط لحوكمة الأوامر، وتدمج الأدوات والوكلاء، ثم تؤمّن حلّك وتحسّنه وتراقبه.
ما ستتعلّمه
المحتوى التقني أدناه معروضٌ باللغة الإنجليزية كما ورد في منهاج الدورة، حفاظاً على دقّة المصطلحات.
- Develop production-ready generative AI solutions using AWS services that meet enterprise requirements for security, scalability, and reliability
- Evaluate and select appropriate foundation models for specific business use cases, including benchmarking performance and implementing dynamic model selection architectures
- Design and implement resilient foundation model systems with circuit breakers, cross-region deployment, and graceful degradation strategies
- Build comprehensive data processing pipelines for multi-modal inputs, including validation workflows and optimization techniques
- Implement sophisticated vector database solutions using Amazon Bedrock Knowledge
- Bases, OpenSearch, and hybrid approaches for effective retrieval augmentation
- Create and manage advanced prompt engineering frameworks, including chain-of-thought reasoning and enterprise-wide prompt governance systems
- Develop autonomous AI agents using Amazon Bedrock Agents, implementing complex reasoning patterns and tool integration capabilities
- Implement comprehensive AI safety and security controls, including content filtering, privacy preservation, and adversarial testing mechanisms
- Optimize performance and manage costs through token efficiency strategies, batching implementations, and intelligent caching systems
- Design and implement comprehensive monitoring and observability solutions for foundation model applications
- Create systematic testing and validation frameworks for continuous quality assurance of AI applications
- Integrate generative AI solutions within enterprise environments using secure, compliant, and scalable architectural pattern
المنهاج
- Enterprise foundation model evaluation framework
- Dynamic model selection architecture patterns
- Resilient foundation model system designs
- Cost optimization and economic modeling
- Comprehensive data validation and quality assurance
- Multi-modal data processing pipelines
- Input optimization and performance enhancement
- Enterprise vector database architecture
- Advanced document processing and chunking strategies
- Sophisticated retrieval system implementation
- Advanced prompt engineering frameworks
- Complex prompt orchestration systems
- Enterprise prompt governance and management
- Agentic AI architecture and evolution
- Amazon Bedrock Agents implementation
- AWS Agentic AI service ecosystem
- Tool integration and production observability
- Comprehensive content safety implementation
- Privacy-preserving AI architecture
- AI governance and compliance frameworks
- Token efficiency and cost optimization
- High-performance system architecture
- Intelligent caching systems implementation
- Hands-on Lab: Building Secure and Responsible Gen AI with Guardrails for Amazon Bedrock
- Foundation model monitoring systems
- Business impact and value management
- AI-specific troubleshooting and diagnostics
- Comprehensive AI evaluation frameworks
- Quality assurance and continuous improvement
- RAG system evaluation and optimization
- Enterprise connectivity and integration architecture
- Secure access and identity management
- Cross-environment and hybrid deployments
- Next steps and additional resources
- Course summary
لمن هذه الدورة
المطوّرون ومهندسو تعلّم الآلة الذين ينقلون الذكاء الاصطناعي التوليدي من النموذج الأولي إلى الإنتاج.
قبل أن تبدأ
- AWS Technical Essentials
- Generative AI Essentials on AWS
- 2 or more years of experience building production grade applications on AWS or with open-source technologies, general AI/ML or data engineering experience
- 1 year of hands-on experience implementing generative AI solutions
دورات ذات صلة
المزيد في خدمات أمازون السحابية (AWS) ←Advanced Architecting on AWS
خدمات أمازون السحابية (AWS)
تفاصيل الدورة ←Advanced Developing on AWS
خدمات أمازون السحابية (AWS)
تفاصيل الدورة ←Architecting on AWS
خدمات أمازون السحابية (AWS)
تفاصيل الدورة ←AWS Agentic AI Foundations
خدمات أمازون السحابية (AWS)
تفاصيل الدورة ←AWS Cloud Financial Management for Builders
خدمات أمازون السحابية (AWS)
تفاصيل الدورة ←AWS Cloud Practitioner Essentials
خدمات أمازون السحابية (AWS)
تفاصيل الدورة ←لنرسم خطوتك التالية معاً.
أخبرنا بالدورة أو الشهادة التي تهمّك، ونرسل لك المنهاج والمواعيد القادمة والرسوم وخيارات التدريب الخاص لفريقك.