Generative AI Architectures with LLM, Prompt, RAG, Vector DB
Generative AI Architectures with LLM, Prompt, RAG, Vector DB from Udemy. Design and Integrate AI-Powered S/LLMs into Enterprise Apps using Prompt Engineering, RAG, Fine-Tuning and Vector DBs
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Overview of Generative AI Architectures with LLM, Prompt, RAG, Vector DB Course on Udemy
Unlock the potential of generative AI with the Generative AI Architectures with LLM, Prompt, RAG, Vector DB course on Udemy. Led by expert instructor Mehmet Ozkaya, this course teaches you how to design and integrate AI-powered large language models (LLMs) into enterprise applications, focusing on prompt engineering, Retrieval-Augmented Generation (RAG), fine-tuning, and vector databases. With 6 hours of on-demand video, 11 downloadable resources, and hands-on projects, it’s a comprehensive guide to building AI-driven solutions. Enroll today with coupon SEPT25 (valid until September 30, 2025—check the offer box below for the discount link!)
What to Expect from the Generative AI Architectures with LLM, Prompt, RAG, Vector DB Course
This 6-hour course is tailored for developers, AI enthusiasts, and professionals with basic programming knowledge, aiming to integrate LLMs into enterprise apps. Mehmet Ozkaya’s step-by-step teaching, combined with hands-on design of an EShop Customer Support application, ensures practical learning. Expect to explore advanced prompting techniques and real-world use cases, with a focus on the LLM Augmentation Flow framework. Udemy’s flexible platform allows you to learn at your own pace, anytime, anywhere.
What You Will Learn in Generative AI Architectures with LLM, Prompt, RAG, Vector DB
- Design generative AI architectures for enterprise applications using LLMs.
- Apply advanced prompting techniques like zero-shot, few-shot, and chain-of-thought.
- Implement RAG for Q&A, summarization, and semantic search in applications.
- Fine-tune LLMs like ChatGPT, Llama, and Gemini for custom use cases.
- Use vector databases for efficient semantic search and data retrieval.
- Build an EShop Support app with AI-powered features like classification and sentiment analysis.
Why Choose This Generative AI Architectures with LLM, Prompt, RAG, Vector DB Course on Udemy
Mehmet Ozkaya’s extensive experience in AI and enterprise solutions, paired with his clear teaching style, makes this course a top choice. Regularly updated to reflect the latest generative AI trends, it offers practical skills through real-world projects. With 6 hours of video and 11 downloadable resources, it’s packed with value for aspiring AI engineers. Use SEPT25 to snag it at a discount (see offer box)
Recommended Courses with Generative AI and LLMs Focus
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Our Review of Generative AI Architectures with LLM, Prompt, RAG, Vector DB Course
From an admin perspective, this course is a well-structured dive into generative AI, perfect for building enterprise-grade solutions. Mehmet Ozkaya’s hands-on approach, with projects like the EShop Support app, ensures learners gain practical, job-ready skills. The course’s focus on RAG, prompt engineering, and vector databases is highly relevant for modern AI development. With SEPT25, it’s a steal!
Pros:
- Hands-on projects provide real-world application experience.
- Comprehensive coverage of LLMs, RAG, and vector databases.
- Instructor’s expertise adds practical, industry-relevant insights.
Cons:
- Requires basic programming knowledge, which may challenge absolute beginners.
- Dense technical content may require pacing for full understanding.
Rating the Generative AI Architectures with LLM, Prompt, RAG, Vector DB Course
Overall Rating: 9.4/10
- Content: 9.4/10 – In-depth, current, with practical EShop Support app projects.
- Delivery: 9.0/10 – Clear, step-by-step, and engaging hands-on focus.
- Value: 9.2/10 – Affordable with SEPT25.
Transform your career with cutting-edge AI skills—enroll now and build the future of intelligent applications
Additional Information from Search Insights
This course aligns with trending search keywords like Prompt Engineering, RAG Systems, Vector Databases, and LLM Integration, reflecting the growing demand for AI-driven enterprise solutions in 2025. These terms highlight the course’s relevance for developers aiming to build intelligent, scalable applications, making it a strategic career investment.
