Azure AI Engineering Deep Dive: RAG & Intelligent Agents
Master production-ready AI solutions with hands-on training in Retrieval-Augmented Generation architecture and intelligent agent development on Microsoft Azure
What You'll Master
Comprehensive training in advanced Azure AI engineering capabilities
RAG Architecture
Design and implement Retrieval-Augmented Generation architectures using Azure AI services for enhanced accuracy and contextual relevance
Intelligent Agents
Build intelligent agents that can reason, plan, and execute complex tasks autonomously with Azure AI capabilities
Azure OpenAI Integration
Integrate Azure OpenAI Service effectively into your applications with proper security, governance, and performance optimization
Vector Databases
Implement vector databases and semantic search capabilities for powerful information retrieval and context management
Prompt Engineering
Apply best practices for prompt engineering and model optimization to maximize AI solution effectiveness
Production Deployment
Deploy and monitor AI solutions in production environments with enterprise-grade reliability and observability
Expert Instructor
Learn from Microsoft Azure AI training specialists
Brian Nielsen
Lead Training Architect, Opsgility
Brian Nielsen is the Lead Training Architect at Opsgility, specializing in Microsoft Azure, AI engineering, and modern cloud development. He designs advanced, hands-on training experiences that help organizations and technical professionals build real-world expertise across cloud architecture, DevOps, data, and AI solutions. With deep experience in Azure platform services, application development, and emerging AI technologies, Brian focuses on translating complex technical concepts into practical skills that accelerate innovation and adoption.
Who Should Attend
This intensive training is designed for technical professionals advancing their AI engineering capabilities
Software Developers
Data Scientists
AI Engineers
Solution Architects
Prerequisites: Participants should have foundational knowledge of Azure and be comfortable with programming. A basic understanding of cloud concepts and application development is essential for maximizing the value of this advanced training.
Hands-On Training Methodology
Practical, scenario-based learning designed to deliver immediate implementation capability
Hands-On Labs
Extensive practical exercises in live Azure environments with real-world scenarios
Business Solutions
Build AI solutions that solve actual business problems and deliver measurable value
Expert Instruction
Learn from Azure AI specialists with deep implementation and architecture experience
This Microsoft Cloud Deep Dive combines theoretical knowledge with applied learning to ensure you can immediately implement what you've learned in your organization. Transform your ability to deliver cutting-edge AI solutions on Azure.
Key Capabilities You'll Gain
Production-ready skills for enterprise AI solution development
RAG System Architecture
Design and implement complete RAG systems that combine retrieval mechanisms with generative AI for accurate, contextually-aware responses
Agent Development Framework
Build sophisticated intelligent agents using Azure AI that can autonomously reason through problems, plan actions, and execute complex workflows
Vector Search Implementation
Implement semantic search and vector database solutions for powerful information retrieval and context management at scale
Production Deployment Expertise
Deploy, monitor, and maintain AI solutions in production with enterprise-grade security, governance, and performance optimization
Secure Your Seat Today
Limited availability for this intensive Azure AI engineering training. Register now to transform your AI development capabilities.
Azure AI Engineering Deep Dive: RAG & Intelligent Agents
Azure AI Engineering Deep Dive: RAG & Intelligent Agents - Registration Form
Registration form for Azure AI Engineering Deep Dive: RAG & Intelligent Agents