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Generative AI on AWS

  • BeginnerLevel

  • 1 Hr 20 MinsDuration

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About this Course

  • This course introduces AWS Generative AI services like Bedrock, SageMaker, and Lex, helping learners understand how to build, train, and deploy AI solutions.
  • Through hands-on examples, learners explore how to integrate services such as Rekognition, Textract, and Transcribe to build comprehensive AI-powered applications.
  • Designed for beginners and practitioners, the course offers step-by-step guidance on using AWS tools to develop real-world generative AI workflows and solutions.

Learning Outcomes

Master AWS GenAI Services

Understand the key services powering generative AI on AWS.

Build Real-World Models

Learn to create models using SageMaker and Bedrock.

Integrate AWS Services

Combine AI tools like Lex, Rekognition & Textract effectively.

Course Curriculum

Explore a comprehensive curriculum covering Python, machine learning models, deep learning techniques, and AI applications.

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  1. 1. Getting Started with Generative AI on AWS Setup Cost Overview?

  2. 2. Setting Up Your AWS Environment

  3. 3. Amazon SageMaker

  4. 4. Inside SageMaker Working with Jupyter Notebooks

  5. 5. Multimodal Embeddings Matching Images with Text using AI

Meet the instructor

Our instructor and mentors carry years of experience in data industry

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Prashant Sahu

Manager, Analytics Vidhya

Prashant Sahu, Ph.D IIT Bombay; Data Science Manager, Analytics Vidhya A dynamic and innovative Data Scientist who brings extensive experience in Artificial Intelligence, Machine Learning, and Advanced Analytics to the table.

Get this Course Now

With this course you’ll get

  • 1 Hour 20 Mins

    Duration

  • Prashant Sahu

    Instructor

  • Beginner

    Level

Certificate of completion

Earn a professional certificate upon course completion

  • Globally recognized certificate
  • Verifiable online credential
  • Enhances professional credibility
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Frequently Asked Questions

Looking for answers to other questions?

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.

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).

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.

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.

Yes, you will receive a certificate of completion after successfully finishing the course and assessments.

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