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Course Overview:

Duration: 1 Hour

Building AI agents used to require complex orchestration, extensive scaffolding, and months of tuning. With Strands Agents, an open source SDK from AWS. You can now build, test, and deploy intelligent agents in just a few lines of code. This session introduces the model-driven approach behind Strands, where a model, a prompt, and a set of tools are all you need to create powerful, production-ready agents. Learn how Strands leverages modern foundation models to handle reasoning, tool use, and reflection, reducing development time from months to days.

Instructor:

Suman Debnath

Principal Developer Advocate (AI/ML) @ AWS

Suman Debnath is a Principal Machine Learning Advocate at Amazon Web Services. Currently, his focus is on Supervised Learning, Natural Language Processing (NLP), Large Language Models (LLMs), and Retrieval Augmented Generation (RAG). Suman is committed to leveraging open-source tools like LangChain, PyTorch, Numpy, and Pandas for advancing machine learning. He has developed performance benchmarking and monitoring tools for distributed storage systems. Suman has spoken at over 100 global events, including PyCon, PyData, ODSC, and meetups across multiple countries.

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