April 2026
Intermediate
490 pages
14h 1m
English
At this point, we have built a strong foundation in artificial intelligence (AI), natural language processing (NLP), and large language models (LLMs). You've seen how LLMs work under the hood and how to apply them to a wide range of real-world tasks using prompt engineering, retrieval-augmented generation (RAG), and fine-tuning. Now we move to one of the most important and rapidly evolving topics in modern AI: AI agents.
The era of AI agents is just beginning. We are entering a phase where software no longer simply responds to user input but can act on behalf of the user. These systems can plan, make decisions, execute multi-step workflows, interact with external tools, and coordinate with other agents. ...
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