Complete AWS Bedrock Generative AI Course + Projects

Complete AWS Bedrock Generative AI Course + Projects, available at $99.99, has an average rating of 4.47, with 31 lectures, based on 624 reviews, and has 4223 subscribers.

You will learn about AWS Bedrock Chat with your Documents Generative AI Build Serverless Machine Learning applications Fine Tune LLMs in the cloud Build production ready applications with Aws Serverless stack such as Bedrock, Lambda and Api Gateway and S3 Train and Evaluate LLMs with your own custom data AWS Bedrock Pricing Summarise your meeting notes in a matter of seconds Serverless Architecture API Gateway Image Generation Text Summarisation with NLP Text Creation through NLP Stability AI and diffusion models for image generation Anthropic AI Connect your data in S3 with AWS Bedrock Set up Lambda Layers Evaluate your LLMs with AWS Bedrock Evaluator This course is ideal for individuals who are Anyone(with a little programming knowledge) who wants to learn Generative AI on AWS It is particularly useful for Anyone(with a little programming knowledge) who wants to learn Generative AI on AWS.

Enroll now: Complete AWS Bedrock Generative AI Course + Projects

Summary

Title: Complete AWS Bedrock Generative AI Course + Projects

Price: $99.99

Average Rating: 4.47

Number of Lectures: 31

Number of Published Lectures: 30

Number of Curriculum Items: 31

Number of Published Curriculum Objects: 30

Original Price: $59.99

Quality Status: approved

Status: Live

What You Will Learn

AWS Bedrock
Chat with your Documents
Generative AI
Build Serverless Machine Learning applications
Fine Tune LLMs in the cloud
Build production ready applications with Aws Serverless stack such as Bedrock, Lambda and Api Gateway and S3
Train and Evaluate LLMs with your own custom data
AWS Bedrock Pricing
Summarise your meeting notes in a matter of seconds
Serverless Architecture
API Gateway
Image Generation
Text Summarisation with NLP
Text Creation through NLP
Stability AI and diffusion models for image generation
Anthropic AI
Connect your data in S3 with AWS Bedrock
Set up Lambda Layers
Evaluate your LLMs with AWS Bedrock Evaluator

Who Should Attend

Anyone(with a little programming knowledge) who wants to learn Generative AI on AWS

Target Audiences

Anyone(with a little programming knowledge) who wants to learn Generative AI on AWS

**Course Description: AWS Bedrock Generative AI + LLMs Comprehensive Guide**

Welcome to our in-depth course on the cutting-edge world of AWS Bedrock Generative AI, encompassing LLMs (Large Language Models) and fine-tuning techniques. AWS Bedrock, the innovative platform from Amazon Web Services, provides unparalleled opportunities for AI enthusiasts, developers, and professionals to engage with Generative AI. In this course, you will explore the nuts and bolts of AWS Bedrock and learn how to harness its power for your AI projects. Create 3 separate projects in this course which include chatting with your data and asking questions about your documents, writing code with Bedrock models, and image generation with diffusion models. All these projects will be then deployed through a Serverless architecture with AWS Bedrock, API Gateway, Lambda functions, S3, Postman and many more

Structured over a series of engaging modules, you will:

1. **Delve Deep into AWS Bedrock & Generative AI**: Understand the foundations of AWS Bedrock and its role in the AI landscape. Discover the transformative potential of Generative AI, how it’s shaping industries, and its underlying technologies.

2. **Mastering LLMs**: Dive into the intricacies of Large Language Models. Learn about their architecture, applications, strengths, and limitations.

3. **Fine-tuning Models**: A pivotal skill for any AI practitioner. Acquire hands-on experience in tweaking existing models to fit specific tasks or datasets, ensuring optimal performance and efficiency.

4. **Hands-on Projects**: Roll up your sleeves and immerse yourself in three separate projects. Each project is designed to reinforce your learning and provide practical experience. You’ll employ a serverless stack, integrating AWS services like API Gateway and Lambda with AWS Bedrock, offering you a holistic view of the platform’s capabilities.

5. **Serverless Stack Integration**: Delve into the Serverless paradigm, focusing on API Gateway, Lambda, and AWS Bedrock. Learn how to set up, manage, and scale serverless architectures seamlessly, ensuring you’re well-equipped to design and deploy AI-driven applications with ease.

6. **Evaluate your LLM**: After finishing the course you will be able to evaluate the toxicity, and overall accuracy of your your Large Language Model.

By the end of this course, you will have a robust understanding of AWS Bedrock and its synergies with Generative AI and LLMs. Whether you’re an aspiring AI developer, a seasoned practitioner, or a tech enthusiast, this course is tailored to equip you with the skills and knowledge to navigate the dynamic world of AI with confidence.

Join us on this enlightening journey through AWS Bedrock and discover the future of Generative AI. Let’s build, fine-tune, and deploy together!

Course Curriculum

Chapter 1: Course Introduction

Lecture 1: What We are Going to Be Building

Lecture 2: Github Link to all Code and Resources

Chapter 2: Initial Setup

Lecture 1: Setting Up our AWS account

Lecture 2: Login to IAM user account

Chapter 3: Getting started with Aws Bedrock

Lecture 1: What is AWS Bedrock

Lecture 2: Introduction to Foundational Models

Lecture 3: Foundational Model Providers

Lecture 4: Bedrock Playground and Pricing

Lecture 5: Inspecting Model Inference Configurations for LLMs and Image Generation Models

Lecture 6: Training Foundation Models with your Custom data

Chapter 4: Code Generation Project

Lecture 1: Setting Up the Code Generation Project

Lecture 2: Coding our Lambda function and integrating it with AWS Bedrock

Lecture 3: Setting up API Gateway and our Serverless Stack

Lecture 4: Testing our Live Endpoint

Lecture 5: Creating our Boto3 Lambda Layer

Lecture 6: Attaching our Lambda Layer to our Function

Lecture 7: Testing our Bedrock Model

Lecture 8: Verifying Final Output of Bedrock

Chapter 5: Meeting Notes Summarisation Project with Bedrock

Lecture 1: Setting up our Lambda Function with Bedrock for content summarisation

Lecture 2: Finishing our Lambda Function for Meeting Summarisation

Lecture 3: Creating new API Gateway Endpoint for this Lambda function

Lecture 4: Invoking our Serverless Meeting Notes Summarisation Endpoint

Lecture 5: Analysing the final results

Chapter 6: Using Diffusion Models with Bedrock for Image Creation

Lecture 1: Project Introduction

Lecture 2: Setting up API Gateway Route(Serverless) for New Generative AI Model Invocation

Lecture 3: Invoking our Stable Diffusion model for Image Generation

Lecture 4: Analysing our Final output

Chapter 7: Evaluating Large Language Model Performance with AWS Bedrock Evaluator

Lecture 1: Set up Evaluation Job for Anthropic's Claude model

Lecture 2: Evaluating our Results

Chapter 8: Cleanup and Next Steps

Lecture 1: Final Video

Instructors

Patrik Szepesi
Machine Learning Engineer

Rating Distribution

1 stars: 8 votes
2 stars: 7 votes
3 stars: 60 votes
4 stars: 202 votes
5 stars: 347 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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