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Complete Aws Bedrock Generative Ai Course + Projects
Published 10/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.46 GB | Duration: 3h 15m

Chat with Documents, Fine-Tune LLMs, Image Diffusion Models + Generative AI Deployed with Serverless Architecture​

What you'll 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
Requirements
little Python knowledge
AWS account
Computer with WIFI
Description
**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 moreStructured 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.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!
Overview
Section 1: Course Introduction
Lecture 1 What We are Going to Be Building
Lecture 2 Github Link to all Code and Resources
Section 2: Initial Setup
Lecture 3 Setting Up our AWS account
Lecture 4 Login to IAM user account
Section 3: Getting started with Aws Bedrock
Lecture 5 What is AWS Bedrock
Lecture 6 Introduction to Foundational Models
Lecture 7 Foundational Model Providers
Lecture 8 Bedrock Playground and Pricing
Lecture 9 Inspecting Model Inference Configurations for LLMs and Image Generation Models
Lecture 10 Training Foundation Models with your Custom data
Section 4: Code Generation Project
Lecture 11 Setting Up the Code Generation Project
Lecture 12 Coding our Lambda function and integrating it with AWS Bedrock
Lecture 13 Setting up API Gateway and our Serverless Stack
Lecture 14 Testing our Live Endpoint
Lecture 15 Creating our Boto3 Lambda Layer
Lecture 16 Attaching our Lambda Layer to our Function
Lecture 17 Testing our Bedrock Model
Lecture 18 Verifying Final Output of Bedrock
Section 5: Meeting Notes Summarisation Project with Bedrock
Lecture 19 Setting up our Lambda Function with Bedrock for content summarisation
Lecture 20 Finishing our Lambda Function for Meeting Summarisation
Lecture 21 Creating new API Gateway Endpoint for this Lambda function
Lecture 22 Invoking our Serverless Meeting Notes Summarisation Endpoint
Lecture 23 Analysing the final results
Section 6: Using Diffusion Models with Bedrock for Image Creation
Lecture 24 Project Introduction
Lecture 25 Setting up API Gateway Route(Serverless) for New Generative AI Model Invocation
Lecture 26 Invoking our Stable Diffusion model for Image Generation
Lecture 27 Analysing our Final output
Section 7: Cleanup and Next Steps
Lecture 28 Final Video
Anyone(with a little programming knowledge) who wants to learn Generative AI on AWS

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