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Amazon Bedrock for Generative AI-DigiSafari Course Overview

Amazon Bedrock for Generative AI-DigiSafari Course Overview

Unlock the potential of Generative AI with the Amazon Bedrock for Generative AI-DigiSafari course at Koenig Solutions. This comprehensive program empowers learners to understand the fundamentals of Amazon Bedrock, its API integrations, and how to leverage various foundation models for innovative applications.

You'll gain practical skills in building AI-driven applications, exploring use cases across industries, and optimizing model performance. By the end of the course, participants will be equipped to implement Generative AI solutions effectively, enhancing their ability to drive business transformation. Join us to elevate your expertise and stay ahead in the dynamic field of AI technology.

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  • Live Training (Duration : 24 Hours)
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  • Live Training (Duration : 24 Hours)
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Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

Request More Information

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Target Audience for Amazon Bedrock for Generative AI-DigiSafari

Amazon Bedrock for Generative AI-DigiSafari equips learners with the skills to leverage Amazon's Bedrock platform for innovative AI projects, targeting professionals looking to enhance their generative AI capabilities.


  • AI/ML Engineers
  • Data Scientists
  • Software Developers
  • Cloud Architects
  • Product Managers
  • Business Analysts
  • Digital Transformation Leads
  • IT Professionals
  • Technical Project Managers
  • Researchers in AI
  • DevOps Engineers
  • Educators in Technology
  • Entrepreneurs and Startups in AI Solutions


Learning Objectives - What you will Learn in this Amazon Bedrock for Generative AI-DigiSafari?

Introduction to Learning Outcomes

The Amazon Bedrock for Generative AI-DigiSafari course equips students with essential skills in generative AI using Amazon Bedrock, covering foundational concepts and practical applications in developing AI-driven solutions.

Learning Objectives and Outcomes

  • Understand the fundamentals of generative AI and its applications.
  • Explore Amazon Bedrock's architecture and components.
  • Learn how to set up and configure Amazon Bedrock for development.
  • Develop skills in utilizing various generative AI models.
  • Implement best practices for building and deploying AI models.
  • Analyze use cases and industry applications of generative AI.
  • Gain hands-on experience through practical exercises and labs.
  • Evaluate performance metrics for generative AI solutions.
  • Understand ethical considerations in AI development.
  • Collaborate on projects to enhance practical understanding and teamwork.

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