Udemy
AI Prompt Engineering: Generative AI & Context Engineering
Artificial Intelligence · Development
Library / Artificial Intelligence
On Udemy
This course contains the use of artificial intelligence.
The Claude Certified Architect – Professional (CCAR-P) certification is an advanced credential for solution architects, AI and machine learning engineers, technical leads, and senior developers who design and deliver production-grade solutions using Claude. It validates a professional’s ability to translate complex business requirements into effective AI architectures, select appropriate Claude models and architectural patterns, design prompt and context strategies, integrate Claude with enterprise systems, and evaluate solutions across quality, performance, cost, security, and safety requirements. Rather than focusing solely on using Claude or implementing individual application components, the certification emphasizes architectural judgment, technical trade-offs, stakeholder alignment, and ownership across the complete solution lifecycle.
This video training course provides a structured and comprehensive path to mastering the CCAR-P exam objectives through architecture-focused lessons and realistic production scenarios. The course explores how business discovery, requirement analysis, workload decomposition, and architectural decision-making contribute to reliable and scalable Claude solutions. It also examines workflow-based architectures, augmented language model architectures, agentic systems, multi-agent designs, model selection, prompt engineering, context engineering, retrieval-augmented generation pipelines, tool integrations, enterprise system connections, authentication, authorization, observability, evaluation frameworks, performance optimization, and operational troubleshooting.
Throughout the course, learners develop professional-level knowledge of solution architecture, model selection, prompt and context design, enterprise integration, retrieval systems, multi-agent orchestration, evaluation, testing, optimization, governance, safety, risk management, and operational enablement.
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Udemy: 2026-11-07 · Coursera: 2026-11-07 · O'Reilly: 2026-11-07 · 365 Data Science: 2026-11-07
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