In a recent LinkedIn post, Luís Rodrigues offers a curated list of essential video resources for understanding and building AI agents, challenging the notion that extensive tutorial consumption is necessary for mastery. Rodrigues emphasizes a focused approach, suggesting that a select group of high-quality videos can be more effective than wading through numerous less impactful ones.
Foundational Knowledge in AI Agents
Rodrigues begins by highlighting the importance of establishing a strong theoretical foundation before diving into practical applications. He points to introductory videos on Large Language Models (LLMs) as a crucial starting point. According to Rodrigues, understanding the fundamentals of LLMs is paramount for anyone looking to grasp the complexities of AI agents.
“Start with the foundations.”
He then proceeds to share resources that delve into the core concepts. The curated list includes foundational videos from prominent sources like Andrej Karpathy and Stanford, covering topics from the basics of LLMs to the actual construction of these models.
Defining and Developing AI Agents
Moving beyond LLMs, Rodrigues’s selection then focuses on defining what an AI agent truly is. He shares insights into the progression of language model usage and practical guidance on how effective agents are built. In Luís Rodrigues’s view, understanding the ‘agentic’ nature of AI is the next critical step after grasping LLM principles.
“Then learn what an agent actually is.”
The post provides links to resources that explore the concept of agentic AI and offer practical advice from industry experts at companies like Anthropic. Rodrigues stresses that this phase is about comprehending the unique capabilities and operational paradigms of AI agents.
Building and Refining AI Agents
The subsequent sections of Rodrigues’s shared resources guide users through the process of building an AI agent from scratch. This includes tutorials on constructing agents and integrating them with specific protocols, such as the Model Context Protocol. As Luís Rodrigues notes, hands-on experience is key at this stage.
“Now build one.”
Furthermore, Rodrigues includes content aimed at making these agents production-ready. This involves learning about evaluation techniques and exploring multimodal agent capabilities, as demonstrated by resources from Sayash Kapoor and Google Cloud. He emphasizes the transition from theoretical understanding and basic building to creating robust, deployable AI solutions.
Advanced Applications and Continuous Learning
Finally, Rodrigues encourages a deep dive into advanced applications, such as mastering specific agent frameworks like Claude Agents. He suggests a comprehensive masterclass for those ready to fully immerse themselves in the technology.
“Then go all in.”
Beyond the video recommendations, Luís Rodrigues promotes his newsletter, ‘Build What Matters,’ where he regularly discusses AI agents and emerging workflows. He invites readers to subscribe for ongoing insights into practical AI applications for business. The post serves as a valuable roadmap for individuals seeking to efficiently learn about AI agents, cutting through the noise to focus on essential, high-impact learning materials.
📝 About This Content
This article is based on insights shared by Luís Rodrigues on LinkedIn.
📅 Originally posted on September 3, 2026 | View original post on LinkedIn →