Description
Complete AI Architecture Bootcamp: From RAG to Agents is a course on how to architect modern AI systems published by Udemy Online Academy. This course is a comprehensive, hands-on program designed to teach learners how to architect modern AI systems, moving from Retrievable Augmentative Generation (RAG) applications to complex Agentic AI solutions. Designed for AI engineers, software architects, developers, and technical professionals, this bootcamp focuses on the architectural decisions needed to build scalable, reliable, secure, and maintainable AI applications. Participants will explore LLM integration, data ingestion, embeddings, vector databases, retrieval pipelines, rapid engineering, tool invocation, agent tuning, memory, multi-agent systems, evaluation, observability, and production deployment.
Whether you are a consultant, business analyst, solution architect, technical lead, product manager, engineer, or AI enthusiast, you will learn the frameworks, patterns, and methodologies used to design enterprise-level AI solutions that deliver real business value. This course begins by building a strong foundation in AI architecture principles and helps you understand the differences between traditional software architectures and modern AI-driven architectures. These skills will help you design solutions that integrate seamlessly with existing business operations and technology stacks. You will learn about AI automation architecture, workflow orchestration, human-in-the-loop systems, data architecture, data pipelines, knowledge repositories, real-time data platforms, and AI-ready enterprise data ecosystems.
What you will learn in Complete AI Architecture Bootcamp: From RAG to Agents:
- Architect Retrieval-Augmented Generation (RAG) platforms using embeddings, vector databases, document ingestion pipelines, and knowledge retrieval systems.
- Design and integrate LLM-powered applications using modern models such as ChatGPT, Claude, Gemini, and open-source alternatives.
- Create MCP-enabled AI environments that connect AI systems with APIs, databases, SaaS applications, and enterprise tools.
- Develop AI Automation Architectures that incorporate human-in-the-loop workflows, monitoring, exception handling, and process optimization.
- Design AI-ready Data Architectures including data pipelines, warehouses, lakes, knowledge repositories, and real-time data systems.
- Apply AI Security, Governance, and Responsible AI Frameworks to ensure compliance, risk management, auditability, and trustworthy AI deployment.
- Architect scalable Cloud and Infrastructure Solutions for deploying AI applications across SaaS, enterprise, hybrid, and edge environments.
- Produce professional AI Architecture Documentation, Solution Roadmaps, and Executive Presentations for stakeholders and clients.
- and …
Course specifications
Publisher: Udemy
Instructors: Data Science Academy and School of AI
Language: English
Level: Introductory to Advanced
Number of Lessons: 36
Duration: 8h 37m
Course topics
Complete AI Architecture Bootcamp: From RAG to Agents Prerequisites
No prior AI experience is required. This course is designed to take you from foundational concepts to advanced AI architecture design.
Basic computer literacy and familiarity with common business software and web applications are recommended.
A general understanding of technology concepts such as applications, databases, APIs, or cloud services is helpful but not mandatory.
No programming experience is required, although learners with technical backgrounds may find some topics easier to grasp.
A computer with internet access is required to follow demonstrations, complete labs, and explore AI tools and platforms.
Pictures
Complete AI Architecture Bootcamp: 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
1.4 GB