Azure AI Foundry: The Complete Enterprise Guide
Comprehensive 45-page guide covering architecture, security, and deployment best practices.
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
Multi-Agent Workflows: Patterns & Best Practices
12 proven patterns for building multi-agent systems with Semantic Kernel.
Semantic Kernel Deep Dive
5-episode video series with hands-on tutorials and GitHub repo.
ROI Calculator for Agentic AI
Interactive calculator with industry benchmarks and custom modeling.
Financial Services Case Study: Loan Automation
Real-world implementation achieving 60% efficiency gain with architecture diagrams.
Building Agentic RAG with Foundry IQ
Step-by-step guide to implementing agentic retrieval-augmented generation.
Joiner/Mover/Leaver Architecture Reference
Azure-first reference for turning HR workforce events into governed Entra ID Joiner, Mover, and Leaver workflows.
Maps ADP, Aquera, SailPoint, Microsoft Entra ID, SCIM, lifecycle workflows, and audit evidence.
Cost: Free
Enterprise AI Cost Model Worksheet
Buyer-ready worksheet for estimating the full cost stack behind an Azure-first AI rollout.
Covers strategy, data readiness, integration, governance, adoption, operations, and cost controls.
Cost: Free
90-Day AI Pilot-to-Production Plan Template
Week-by-week implementation template for moving one high-value AI workflow from pilot to production.
Includes business alignment, Azure-first architecture, pilot build, hardening, launch, and scale checkpoints.
Cost: Free
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)
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)
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
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
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