Course Description

Explore the power of Generative AI on AWS in this hands-on course. Learn to build end-to-end AI solutions using Amazon Bedrock, SageMaker, Lex, Rekognition, Textract, Comprehend, and Transcribe. From foundational models to practical deployment, master the tools to create scalable, intelligent applications.

Course curriculum

  • 1
    Generative AI with AWS
    • Getting Started with Generative AI on AWS Setup Cost Overview
    • Setting Up Your AWS Environment
    • Amazon SageMaker
    • Inside SageMaker Working with Jupyter Notebooks
    • Multimodal Embeddings Matching Images with Text using AI

Who Should Enroll?

  • AI/ML Engineers and Data Scientists looking to integrate AWS Generative AI services like Bedrock, SageMaker, and Comprehend into real-world projects.

  • Developers and Cloud Engineers interested in building intelligent applications using Amazon Lex, Textract, Rekognition, and Transcribe.

  • Tech professionals and solution architects aiming to gain hands-on experience with end-to-end AI workflows on AWS for enterprise-grade solutions.

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.

About the Instructor

Prashant Sahu - Data Science Manager || Certified Generative AI Specialist || Experienced AI Leader & Coach for ML, DL, and NLP || PhD @ IIT-Bombay

Prashant Sahu is the Data Science Manager at Analytics Vidhya, with extensive expertise in AI, ML, and advanced analytics. He has led high-impact B2B pre-sales initiatives and developed comprehensive training programs for top clients, including HSBC, JP Morgan Chase, and Reliance Industries. Prashant’s technical expertise spans the Python ecosystem, deep learning, Generative AI, NLP, and model deployment. He has also created innovative solutions like the "Mentorship Web App" and the "Article Recommendation System." In his current role, he manages data science projects, evaluates training programs, and oversees content quality for flagship programs like BlackBelt and Pinnacle GenAI.
About the Instructor

FAQs

  • What is Generative AI, and how is it different from traditional AI?

    Generative AI refers to models that can create new content, such as text, images, or code, based on training data. Unlike traditional AI, which classifies or predicts, generative models produce original outputs.

  • What AWS services will I learn about in this course?

    This course covers key AWS services for Generative AI: Amazon Bedrock (for foundational models), SageMaker (for model development and deployment), Lex (for chatbots), Rekognition (for image/video analysis), Textract (for document processing), Comprehend (for NLP), and Transcribe (for speech-to-text).

  • How does Amazon Bedrock simplify working with Generative AI?

    Amazon Bedrock offers API access to a variety of foundational models from top providers, allowing users to build and scale generative AI applications without managing or fine-tuning models.

  • What prior knowledge is required to take this course?

    A basic understanding of cloud computing and AI/ML concepts is recommended. Familiarity with AWS services and Python will enhance the learning experience but is not mandatory.

  • Will I receive a certificate upon completing the course?

    Yes, the course provides a certification upon completion.