Mehmet Ozkaya
English
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Who Is Mehmet Ozkaya?
Mehmet Ozkaya is an expert technical educator and practitioner focused on the cutting edge of artificial intelligence, specifically specializing in the development of sophisticated agentic architectures and generative AI systems. With a career deeply rooted in software architecture and advanced engineering patterns, Mehmet has cultivated a unique pedagogical approach that bridges the gap between complex theoretical concepts and practical, production-ready implementation. His instructional style is characterized by a rigorous commitment to modular design, scalability, and the integration of modern LLM frameworks, including the strategic use of Retrieval-Augmented Generation (RAG) and vector databases. By dissecting the complexities of Model Context Protocol…
Mehmet Ozkaya's Programs
Highest ratedAgentic AI Architectures with Patterns, Frameworks and MCP
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Agentic AI is the next frontier of artificial intelligence, shifting from simple prompt-response interactions to systems that actively plan, reason, and execute complex workflows. This course provides a deep dive into the architectural principles required to build robust, enterprise-grade multi-agent systems. You will move beyond basic API wrapper tutorials and master the essential design patterns that govern agent behavior, including the ReAct framework, reflection, planning, and swarm intelligence. By exploring the Model Context Protocol (MCP) and agentic RAG, you gain the technical proficiency to connect Large Language Models with real-world databases and internal tools securely. The curriculum emphasizes the full Agent Development Lifecycle (ADLC), teaching you how to structure orchestration versus choreography and how to implement human-in-the-loop controls effectively. Whether you are aiming to build autonomous e-shop agents or sophisticated research assistants, this course demystifies the chaotic landscape of agent frameworks by focusing on core systemic patterns. By the end of this journey, you will have the knowledge to design scalable, reliable agentic ecosystems that transition your AI projects from experimental prototypes to production-ready enterprise solutions that truly perform autonomous work.
Top #2Generative AI Architectures with LLM, Prompt, RAG, Vector DB
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This comprehensive architectural guide, created by expert instructor Mehmet Ozkaya, offers an in-depth exploration of integrating Generative AI capabilities into modern enterprise applications. Ideal for software architects, software engineers, and system designers, the course demystifies the complex landscape of Large Language Models (LLMs) and Small Language Models (SLMs), including popular options like OpenAI GPT-4o mini, Meta Llama 3.2, Anthropic Claude, and Google Gemini. Learners will delve deep into the practical implementations of Retrieval-Augmented Generation (RAG) workflows, vector databases such as Pinecone, Chroma, and Qdrant, and advanced prompt engineering techniques including zero-shot, few-shot, and Chain-of-Thought (COT). The curriculum successfully bridges the gap between theoretical AI patterns and real-world cloud-native microservices architecture. By working through highly practical, hands-on scenarios like the EShop Support application, students gain invaluable experience implementing semantic search, model fine-tuning methodologies like PEFT and LoRA, and vector embedding models. Furthermore, the course provides concrete examples of integrating LLMs using the .NET framework, making it a critical learning resource for developers aiming to build secure, scalable, and production-ready AI-powered solutions.
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FAQ
Mehmet focuses on visual architecture diagrams combined with practical, hands-on implementation. He believes that understanding the design rationale behind system architecture is just as important as writing the code, guiding students through structural design patterns before deploying AI components.