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.

May 05, 2026
9:00 AM - 5:00 PM
Virtual Training
$299.00

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.

1

RAG System Architecture

Design and implement complete RAG systems that combine retrieval mechanisms with generative AI for accurate, contextually-aware responses.

2

Agent Development Framework

Build sophisticated intelligent agents using Azure AI that can autonomously reason through problems, plan actions, and execute complex workflows.

3

Vector Search Implementation

Implement semantic search and vector database solutions for powerful information retrieval and context management at scale.

4

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.