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Starts 2 July 2025 12:16

Ends 2 July 2025

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Amazon Bedrock Masterclass: The Ultimate Generative AI Guide

UPDATED October 2024 to Include Claude 3.5 Sonnet v2 - Basic to Advanced Generative Artificial Intelligence on AWS
via Udemy

4123 Courses


4 hours 3 minutes

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Paid Course

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Overview

Embark on a transformative learning journey with the "Amazon Bedrock Masterclass:

A Guide to Generative AI on AWS." This comprehensive course is meticulously designed to equip you with the knowledge, skills, and practical expertise necessary to excel in the rapidly evolving domain of Generative Artificial Intelligence (AI) using Amazon's robust Bedrock platform.

Syllabus

  • Introduction to Amazon Bedrock and Generative AI
  • Overview of Generative AI and its applications
    Introduction to Amazon Bedrock platform
    Importance and potential impact of AI on various industries
  • Fundamentals of Generative AI
  • Key concepts in Generative AI
    Machine learning strategies for generative models
    Overview of popular generative models (e.g., GANs, VAEs)
  • Setting Up Amazon Bedrock
  • Creating and configuring an AWS account
    Navigating the Amazon Bedrock interface
    Resource management and cost optimization
  • Core Services and Tools of Amazon Bedrock
  • Overview of core services (e.g., model training, data processing)
    Tools for deploying and maintaining AI models
    Integration with other AWS services for enhanced functionality
  • Building Generative Models with Amazon Bedrock
  • Data preparation and preprocessing techniques
    Training models using Amazon Bedrock
    Best practices for tuning and optimizing model performance
  • Deploying and Scaling Generative AI Solutions
  • Strategies for deploying models in production
    Scaling solutions with AWS's infrastructure
    Monitoring and managing AI model lifecycle
  • Advanced Topics in Generative AI
  • Fine-tuning pre-trained models
    Exploring cutting-edge generative techniques
    Case studies and real-world applications
  • Security and Compliance in AI on AWS
  • Ensuring data privacy and compliance
    Security best practices
    Ethical considerations in deploying generative AI
  • Hands-On Labs and Projects
  • Practical exercises to reinforce learning
    Full project from data processing to model deployment
    Feedback and iterative improvement techniques
  • Future Trends and Innovations in Generative AI
  • Emerging trends and technologies in AI
    Roadmap for future learning and professional development
  • Conclusion and Certification
  • Summary of key learnings
    Pathways to certification
    Career opportunities in Generative AI with Amazon Bedrock

Taught by

Renaldi Gondosubroto


Subjects

Programming