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
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.