<ul><li>The author waited to explore LLMs due to focusing on developing software engineering expertise in Python first.</li><li>After completing a project, the author reviewed Kevin Markham's course 'Build AI Agents with Python', a follow-up to his LLM course.</li><li>Foundational models like GPT-4o mini have limitations, including restricted knowledge up to a specific date and no access to the internet.</li><li>'Build AI Agents with Python' focuses on augmenting foundational models with tools like Tavily for web search to provide better answers.</li><li>The course also covers integrating custom data sources using Retrieval Augmented Generation (RAG) and building a Q&A system for SQL databases.</li><li>Although the course lacks exercises, the author appreciates Kevin's clear explanations and wishes exercises were included for better learning.</li><li>After the course, the author plans to apply the learnings by adding an LLM feature to their Covid Demographics Explorer project.</li><li>Integrating a chatbot using natural language to interact with the dataset for answering user queries is among the author's next steps.</li></ul>

Ari Lamstein: Course Review: Build AI Agents with Python

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