Curso Online Live Streaming

September 1 to 5, 2025

Duration : 5 days

Level: Advanced

WHO SHOULD ATTEND:  This course is for engineers, domain practitioners, data analysts, data scientists, with a solid Python programming foundation. A basic understanding of machine learning concepts is also recommended. Participants will gain hands-on experience in building and deploying generative AI applications using AWS tools like Bedrock and SageMaker, as well as enhance their skills in working with large language models (LLMs) and AI frameworks like LangChain.

COURSE CONTENT AND OBJECTIVES:

This course offers practical experience in using AWS Bedrock and SageMaker to build and deploy generative AI applications. Course Objectives include understanding the fundamentals of large language models (LLMs), exploring their architectures, and learning how to choose the right LLM for various applications. Participants will gain expertise in prompt engineering to optimize LLM performance, reduce risks like hallucination and biases, and apply AI frameworks like LangChain to integrate LLMs into real-world applications. The course also introduces the latest advancements in generative AI, ensuring students are prepared for emerging trends and innovations in the field.

Course content includes:

• Introduction to large language models (LLMs) and their role in generative AI
• Overview of LLM architectures, training, and fine-tuning
• Selecting the right LLM for different use cases
• Prompt engineering techniques to optimize LLM performance and reduce risks
• Using AWS Bedrock and SageMaker for developing and deploying LLM-powered applications
• Integrating LLMs into applications with AI orchestration frameworks like LangChain
• Understanding emerging trends and innovations in generative AI