Explore the evolution of AI development from standard large language models (LLMs) to the emerging field of “deep agents,” also known as deep research agents. Gain a foundational understanding of how basic AI agents—referred to as “shallow agents”—operate by using an LLM as a “brain” to interact with external tools and APIs. Learn about the significant limitations of LLMs in planning, memory, and handling complex queries. Review conceptual explanations and code examples to learn how complex queries can be decomposed into manageable sub-queries. By the end of this course, you’ll be more prepared for practical implementation of advanced, autonomous AI solutions.
Note: This course was created by Krish Naik. We are pleased to host this content in our library.
Learn More