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    Amazon Bedrock: Hands On Training For Generative Ai

    Posted By: ELK1nG
    Amazon Bedrock: Hands On Training For Generative Ai

    Amazon Bedrock: Hands On Training For Generative Ai
    Published 12/2023
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 986.41 MB | Duration: 1h 51m

    Get up and running quickly on Generative AI

    What you'll learn

    Gain a clear understanding of Amazon Bedrock, and how to successfully use it.

    Understand the difference between Generative AI and Regular AI .

    Be able to navigate the AWS Bedrock console and Playground, to generate text, chat, and images.

    Be able to integrate Amazon Bedrock APIs into a Python software application, generating text and images.

    Requirements

    Basic cloud experience is helpful but not required.

    Basic programming experience is helpful but not required.

    Description

    This course will get you up and running quickly on Amazon Bedrock and Generative AI.  Whether you are a developer, DevOps/MLOps engineer, business analyst, scrum master, or manager, this course is for you.Start with no experience or understanding of Generative AI and leverage your current skillset or knowledge base to begin creating with Generative AI.Understand and quickly take advantage of the incredible opportunity of Generative AI, that is quickly moving towards us. If you are already using another Generative AI framework, rapidly move over and start using Bedrock, from AWS, the world's #1 cloud provider.This course covers:The incredible upcoming opportunity of Generative AIThe Difference between Regular AI and Generative AIOverview of Amazon BedrockAWS Bedrock Setup, Pricing, and Model AccessCreating an AWS AccountInstalling the AWS CLI and getting Programmatic Access to access the APIsFoundation Model AccessFoundation Model PricingAWS Bedrock Playgrounds including Text, Image, and Chat PlaygroundsDifferences between Text Playground and Chat PlaygroundInference ParametersFoundation ModelsFoundation Model ExamplesPython Introduction and SetupIntegrating AWS Bedrock APIs into a software application using PythonThis is a hands-on course created to help the user to quickly understand and become productive with Amazon Bedrock and Generative AI.Take advantage of the incredible Generative AI opportunity and get this course now.

    Overview

    Section 1: Introduction

    Lecture 1 Course Introduction

    Lecture 2 The AI Opportunity

    Lecture 3 Course Resources

    Section 2: Amazon Bedrock Overview

    Lecture 4 Introducing Amazon Bedrock

    Lecture 5 The Difference Between AI and GenAI

    Section 3: Hands On Amazon Bedrock Setup

    Lecture 6 Setting up Bedrock

    Lecture 7 Creating an AWS Account

    Lecture 8 Setting Up AWS CLI and Programmatic Access

    Lecture 9 Foundation Model Access

    Lecture 10 Foundation Model Pricing

    Section 4: Amazon Bedrock Playgrounds

    Lecture 11 Amazon Bedrock Playgrounds Overview Part 1

    Lecture 12 Amazon Bedrock Playgrounds Overview Part 2

    Lecture 13 Differences between Text and Chat Playgrounds

    Lecture 14 Inference Parameters

    Lecture 15 Foundation Models and Providers

    Lecture 16 Foundation Model Examples

    Section 5: Hands On: Integrating Bedrock APIs into Software Applications

    Lecture 17 Python Introduction and Setup

    Lecture 18 Integrating Bedrock APIs Part 1

    Lecture 19 Integrating Bedrock APIs Part 2

    Section 6: Conclusion

    Lecture 20 Conclusion

    Developers and DevOps engineers that want to leverage their current skills to get into Artificial Intelligence or MLOps.,Business analysts, scrum masters, or managers, who want to get a great understanding of Generative AI and how to use it with their teams to create and deliver software.