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Learning Resources for Agentic AI
A former colleague recently asked me for some suggested resources on learning about Agentic AI...this blog post is a placeholder as I organize my thoughts.
Status: Work-In-Progress
Upcoming conferences & webinars:
- 2025-08-02 Saturday: Agentic AI Summit 2025 Livestream
- 2025-12-16 & 17 QCon AI 2025. THE AI CONFERENCE FOR DEVELOPERS, ARCHITECTS & ENGINEERING LEADERS
Suggested Books:
[Caveat: I Have not read these yet. Listed in order of expected value for the reader...]
- AI Agents in Action (Manning, March 2025)
- AI Agents and Applications, With LangChain, LangGraph, and MCP (Manning, MEAP, early 2026)
- Building Agentic AI Systems: Create intelligent, autonomous AI agents that can reason, plan, and adapt (Packt, April 2025)
- Agentic Artificial Intelligence: Harnessing AI Agents to Reinvent Business, Work and Life (Irreplaceable Publishing, March 2025)
- KM: This book may be more appropriate for leaders and managers - but, technical folks may also find the book of possible interest - for the business strategy considerations.
- Building Applications with AI Agents: Designing and Implementing Multi-Agent Systems (O'Reilly, December 2025)
Some Interesting Videos | Articles:
- Why I'm Betting Against AI Agents in 2025 (Despite Building Them)
- AI Agents vs Agentic AI: What’s the Difference and Why Does It Matter?
- Why MCP really is a big deal | Model Context Protocol with Tim Berglund
- OWASP.org
- TheRegister.com
- CIO.com
- Akka.io
- Microsoft:
- Salesforce:
- Gartner:
Suggested Research Papers:
In no particular order, touching on a number of design considerations, security, risks, or limitations- Small Language Models are the Future of Agentic AI
- TRiSM for Agentic AI: A Review of Trust, Risk, and Security Management in LL\M-based Agentic Multi-Agent Systems
- Vending-Bench: A Benchmark for Long-Term Coherence of Autonomous Agents
- Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents
- Securing AI Agents with Information-Flow Control
Case Studies:
- Akka
- IBM:
- LSA Digital:
Agentic AI Protocols
Akka Enterprise Agentic AI
"Akka is a platform for building, running and evaluating agentic systems. It includes a framework, runtime, streaming engine, and memory store for creating any kind of agentic system: AI, autonomous, real-time, adaptive, transactional, analytical, or edge. The Akka Runtime is the most widely adopted actor-based runtime in the world, enabling high-throughput, stateful services that are resilient, elastic and responsive. Akka runs on any infrastructure: public cloud, private cloud or on-premises."- https://akka.io/
- https://akka.io/what-is-agentic-ai
- https://doc.akka.io/
- https://akka.io/#akka-agents
- https://akka.io/#akka-memory
- https://akka.io/#akka-streaming
- https://akka.io/#akka-orchestration
- Some suggested YouTube vidoes:
- https://www.youtube.com/@akka-io
- Agentic AI Playlist (19 vidoes)
- Akka Agents - Overview (2:47)
- Overview of Akka Agentic Platform (complete version) (8:10)
- A Blueprint for Agentic AI Services
- QCon London 2025
- A Blueprint for Agentic AI Services (00:52:00)
- InfoQ Webinars
- Design Patterns for Agentic AI (01:00:06)
- Suggested Akka promotional articles:
Spring AI
"Spring AI is an application framework for AI engineering. Its goal is to apply to the AI domain Spring ecosystem design principles such as portability and modular design and promote using POJOs as the building blocks of an application to the AI domain."- https://spring.io/projects/spring-ai
- https://github.com/spring-ai-community/awesome-spring-ai
- https://docs.spring.io/spring-ai/reference/index.html
- https://docs.spring.io/spring-ai/reference/api/effective-agents.html
- https://docs.spring.io/spring-ai/docs/current/api/
- Building effective agents
