Generative AI on AWS

In this session, we delve into the core building blocks of AWS Generative AI. Starting with Amazon Bedrock and foundational models, we explore how AWS services enable innovative AI solutions. We cover Amazon SageMaker for model development and deployment, Amazon Lex for conversational interfaces, Amazon Rekognition for visual analysis, Amazon Textract for document processing, Amazon Comprehend for natural language understanding, and Amazon Transcribe for speech-to-text conversion. The hands-on codes will provide practical experience integrating these services, empowering you to build and manage end-to-end AI applications.

Key Takeaways:

• Understand the AWS Generative AI ecosystem and the role of each core service.
• Gain practical insights into building and deploying AI models using AWS.
• Learn to integrate multiple AWS services for comprehensive, real-world AI applications.

Prashant Sahu is a dynamic Data Science Manager with extensive experience in AI, ML, and advanced analytics. He excels in leading high-impact B2B pre-sales initiatives, developing comprehensive training programs, and delivering strategic data solutions. His expertise spans the Python ecosystem, deep learning frameworks, Generative AI models and algorithms, Big data analytics, NLP, and model deployment. At Analytics Vidhya, Prashant has managed data science projects, conducted training requirement analysis, and executed post-training impact analysis to ensure program effectiveness. As a Subject Matter Expert in Data Science, he reviews courses under the flagship BlackBelt and Pinnacle GenAI programs and evaluates new speakers, trainers, and SMEs for the platform. Prashant is finishing his Ph.D. from IIT Bombay. You can reach him on LinkedIn