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Item number: 150717209

Generative AI on AWS Training

Item number: 150717209

Generative AI on AWS Training

159,00 192,39 Incl. tax

Order this unique E-Learning Training Generative AI on AWS online, 1 year 24/7 access to rich interactive videos, progress through reporting and testing.

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  • Buy 2 for €155,82 each and save 2%
  • Buy 3 for €154,23 each and save 3%
  • Buy 4 for €152,64 each and save 4%
  • Buy 5 for €151,05 each and save 5%
  • Buy 10 for €143,10 each and save 10%
  • Buy 25 for €135,15 each and save 15%
  • Buy 50 for €127,20 each and save 20%
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  • Award Winning E-learning
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Generative AI on AWS E-Learning

Unlock the potential of Generative AI on AWS with our specialized training. Learn to leverage AWS tools and services to build, train, and deploy cutting-edge AI models. Master the essentials of AWS Machine Learning, including SageMaker and Deep Learning AMIs. Gain practical experience in creating generative AI solutions that transform data into innovative applications. Book now to enhance your AI skills on the AWS platform!

Course content

Generative AI on AWS: Generative AI on AWS: Getting Started

Course: 1 Hour, 10 Minutes

  • Course Overview
  • Generative Artificial Intelligence (AI) Principles in an AWS Context
  • Advantages of Using AWS for Generative AI
  • Foundational Models in AWS and Their Popularity
  • AI Startup Foundational Models
  • How Foundational Models Operate
  • Power of Generative Models by Foundational Models
  • AWS Generative AI Services
  • AI Services vs. Generative AI Services on AWS
  • AWS Generative AI Service Deep Dive
  • Generative AI Uses Cases
  • Working with Generative AI on AWS
  • Course Summary

Generative AI on AWS: Building GenAI Models with Amazon SageMaker

Course: 1 Hour, 36 Minutes

  • Course Overview
  • Fundamental Concepts of Generative Models
  • Types of Generative Models: GANs and VAEs
  • Comparing Generative Model Architectures
  • Designing GANs with Amazon SageMaker
  • Performing Data Preprocessing for Generative Models in SageMaker
  • Training Generative Models with SageMaker Algorithms
  • Executing Distributed Training of Generative Models in SageMaker
  • Optimizing and Fine-tuning Generative Models in SageMaker1
  • Applying Transfer Learning for Generative Models in Specific Domains
  • Evaluating Generated Content Quality and Diversity
  • Deploying Generative Models in SageMaker for Real-time Inference
  • Monitoring Generative Models in SageMaker
  • Course Summary

Generative AI on AWS: Building GenAI Models with Amazon Bedrock

Course: 1 Hour, 6 Minutes

  • Course Overview
  • Amazon Bedrock
  • Generative AI Models with Amazon Bedrock
  • Benefits of Amazon Bedrock
  • Amazon Bedrock API
  • Using the Amazon Bedrock Console
  • Developing a Generative AI Model
  • Evaluating a Generative AI project
  • Designing a Business Application Using Amazon Bedrock
  • Amazon Bedrock Strengths and Weaknesses
  • Course Summary

Generative AI on AWS: Generating Code with Amazon CodeWhisperer

Course: 1 Hour, 8 Minutes

  • Course Overview
  • Artificial Intelligence (AI) Code Generation Explained
  • Amazon CodeWhisperer
  • Code Generation with CodeWhisperer
  • CodeWhisperer Use Cases
  • Key Features of CodeWhisperer
  • Setting Up CodeWhisperer
  • Getting Started with CodeWhisperer
  • Code Suggestions
  • Configuring Security Scans
  • Optimizing Software Development with CodeWhisperer
  • CodeWhisperer Best Practices
  • Course Summary
Language English
Qualifications of the Instructor Certified
Course Format and Length Teaching videos with subtitles, interactive elements and assignments and tests
Lesson duration 5 Hours
Progress monitoring Yes
Access to Material 365 days
Technical Requirements Computer or mobile device, Stable internet connections Web browsersuch as Chrome, Firefox, Safari or Edge.
Support or Assistance Helpdesk and online knowledge base 24/7
Certification Certificate of participation in PDF format
Price and costs Course price at no extra cost
Cancellation policy and money-back guarantee We assess this on a case-by-case basis
Award Winning E-learning Yes
Tip! Provide a quiet learning environment, time and motivation, audio equipment such as headphones or speakers for audio, account information such as login details to access the e-learning platform.

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