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Alexey Grigorev – AI Engineering Buildcamp: From RAG to Agents
Alexey Grigorev – AI Engineering Buildcamp: From RAG to Agents is a practical, engineering-focused training program designed to teach how modern AI systems are built and deployed. The course focuses on real-world implementation of retrieval-augmented generation (RAG) systems and AI agents used in production environments.
Rather than theoretical machine learning concepts alone, the program emphasizes applied engineering skills.
Understanding RAG Systems
A core component of the Buildcamp is retrieval-augmented generation (RAG). Participants learn how to combine large language models with external data sources to produce more accurate and context-aware responses.
This approach is widely used in modern AI applications to improve reliability and reduce hallucinations.
Building AI Agents
The program also focuses on AI agents—systems that can perform tasks autonomously using tools, memory, and reasoning capabilities. Learners are guided through the process of designing, structuring, and deploying these agents.
Agents represent a shift from static AI responses to dynamic task execution.
From Prototype to Production
A major theme of the course is moving from prototypes to production-ready systems. Participants learn how to structure code, manage data pipelines, and deploy AI applications in real environments.
This ensures that projects are not just experimental but usable at scale.
Engineering Best Practices
The training emphasizes best practices in AI engineering, including modular design, testing, and system reliability. Participants learn how to build maintainable and scalable AI systems.
These principles are essential for long-term success in AI development.
Working with Large Language Models
The course covers practical use of large language models (LLMs). Learners explore how to integrate models into applications, fine-tune outputs, and optimize performance.
This includes understanding limitations and designing around them effectively.
Data Integration and Retrieval Systems
A key focus is working with data pipelines and retrieval systems. Participants learn how to connect structured and unstructured data sources to AI models.
This enables more intelligent and context-aware applications.
Real-World AI Application Development
The Buildcamp is designed around practical implementation. Learners build real systems that demonstrate how RAG and agents function in business and technical use cases.
This hands-on approach strengthens understanding and engineering capability.
Final Thoughts
AI Engineering Buildcamp: From RAG to Agents by Alexey Grigorev provides a structured pathway into modern AI system development. By focusing on retrieval systems, AI agents, and production engineering, it equips learners with the skills needed to build scalable and practical AI applications.
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Name of course: Alexey Grigorev – AI Engineering Buildcamp: From RAG to Agents
Original Price: $497| Sale Price: $35
Delivery Method: Instant Download (Mega)