Resources

AI Knowledge Hub

Guides, whitepapers, and insights on building enterprise agentic systems

Azure AI Foundry: The Complete Enterprise Guide cover
Whitepaper

Azure AI Foundry: The Complete Enterprise Guide

Comprehensive 45-page guide covering architecture, security, and deployment best practices.

45 min read
Microsoft AI Agent Development Guide cover
Technical Guide

Microsoft AI Agent Development Guide

Interactive guide with architecture diagrams, step-by-step demos for No-Code, Low-Code, and Pro-Code tiers, plus 70+ curated Microsoft Learn links.

Covers Copilot Studio, Power Automate, Agent Framework, Foundry Agent Service, M365 Agents SDK, and governance patterns.

Cost: Free

45 min read
Multi-Agent Workflows: Patterns & Best Practices cover
Technical Guide

Multi-Agent Workflows: Patterns & Best Practices

12 proven patterns for building multi-agent systems with Semantic Kernel.

30 min read
Semantic Kernel Deep Dive cover
Video Series

Semantic Kernel Deep Dive

5-episode video series with hands-on tutorials and GitHub repo.

2.5 hours
ROI Calculator for Agentic AI cover
Tool

ROI Calculator for Agentic AI

Interactive calculator with industry benchmarks and custom modeling.

5 min
Financial Services Case Study: Loan Automation cover
Case Study

Financial Services Case Study: Loan Automation

Real-world implementation achieving 60% efficiency gain with architecture diagrams.

15 min read
Building Agentic RAG with Foundry IQ cover
Technical Guide

Building Agentic RAG with Foundry IQ

Step-by-step guide to implementing agentic retrieval-augmented generation.

25 min read
Practical Deep Learning for Cloud, Mobile, and Edge cover
Books

Practical Deep Learning for Cloud, Mobile, and Edge

Practical ML engineering patterns for deploying AI systems to Azure-hosted and edge environments with production tradeoffs.

Author: Anirudh Koul, Siddha Ganju, Meher Kasam. Useful for model deployment, MLOps thinking, and production readiness.

Cost: Paid (~$50 print, O'Reilly subscription access available)

Book (approx. 520 pages)
Generative AI with Python and PyTorch cover
Books

Generative AI with Python and PyTorch

Hands-on guide to LLMs, embeddings, and agent-like pipelines that maps well to Azure OpenAI and AI Foundry workloads.

Author: Joseph Babcock, Raghav Bali. Great for engineering teams building custom copilots and retrieval workflows.

Cost: Paid (~$59.99 eBook/print bundle)

Book (approx. 430 pages)
Semantic Kernel Documentation & Learning Path cover
Books

Semantic Kernel Documentation & Learning Path

Official Microsoft learning path for orchestration, plugins, memory, and multi-agent patterns with Semantic Kernel.

Publisher: Microsoft Learn docs. Includes architecture guidance for Azure AI Foundry and enterprise integration patterns.

Cost: Free

Self-paced modules
Azure AI Foundry Documentation Collection cover
Books

Azure AI Foundry Documentation Collection

Comprehensive Microsoft documentation set covering models, agent service, evaluation, governance, and deployment on Azure.

Publisher: Microsoft Learn docs. Best source for current platform capabilities, quotas, security, and cost controls.

Cost: Free

Reference collection

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