Description
AI Engineering Buildcamp: From RAG to Agents is a course on how to build advanced AI applications using modern engineering practices, published by Maven Online Academy. The course takes participants through the complete path of AI application development, starting with retrieval-augmented systems (RAG) and leading to intelligent AI agents that can reason, use tools, and automate complex workflows. The course takes you from core concepts to production-level AI systems through practical, project-focused modules.
Participants will explore large language models (LLMs), embeddings, vector databases, rapid engineering, AI orchestration frameworks, agent architectures, and production deployment strategies. Through practical projects and real-world implementations, learners will gain the skills necessary to design, develop, and deploy scalable AI-based solutions that combine knowledge retrieval, automation, and autonomous decision-making.
What you will learn in AI Engineering Buildcamp: From RAG to Agents:
- Use Retrieval-Augmented Generation and the OpenAI API
- Build systems that can reason, decide, and take action with function calls
- Extend your agent capabilities with MCP
- Test your application with unit tests and referees
- Add guards to prevent application abuse
- Build your own Agentic AI assistant
- And…
Course specifications
Publisher: Maven
Instructors: Alexey Grigorev
Language: English
Level: Introductory to Advanced
Number of Lessons: 147
Duration: 53 hours and 2 minutes
Course topics
AI Engineering Buildcamp: From RAG to Agents Prerequisites
Coding
We will program a lot
Python, Git, Docker, command line
We will rely on these tools when building the assistant
OpenAI key or alternative
We will use OpenAI for building the AI agent
Pictures
AI Engineering Buildcamp: From RAG to Agents introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
19 GB
