Description
What you’ll learn
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Understand the fundamentals of Generative AI, including its applications, algorithms, and potential impact across various industries.
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Gain familiarity with the AWS ecosystem, including core services such as EC2, S3, Lambda, and more, essential for deploying and managing Generative AI apps
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Learn about Amazon Bedrock Managed Service, its features nd capabilities
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Step-by-step guidance on creating the necessary infrastructure to support Generative AI workloads.
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Develop Generative AI apps backed by AWS with your preferred programming language (Python or TypeScript))
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Easily develop RAG apps with Bedrock Knowledge bases
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Integrate LangChain with Amazon Bedrock (Python and TypeScript code examples)
Unleash the Power of Generative AI on AWS with This Comprehensive Course!
Welcome to Amazon Bedrock – The Ultimate Guide to AWS Generative AI – your gateway to mastering the fusion of cutting-edge AI technology and the unparalleled scalability of Amazon Web Services (AWS).
In this course, you’ll dive deep into the world of Generative AI, harnessing its potential to create innovative solutions across diverse domains. Whether you’re a seasoned data scientist, a visionary entrepreneur, or a curious developer, this course is your ticket to unlocking limitless possibilities.
Key Highlights:
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Hands-On Practice: Dive right into real-world scenarios with practical exercises using Python’s boto3, JavaScript SDKs, and TypeScript, coupled with VSCode debugging for seamless development.
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Text and Image Models: Explore the magic of text generation with chatbots, delve into image generation with state-of-the-art models, and master embedding techniques for vector databases.
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Advanced Applications: From LangChain to RAG apps and document processing, you’ll explore a wide array of advanced applications, empowering you to tackle complex challenges with confidence.
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Amazon Bedrock Mastery: Get up close and personal with Amazon Bedrock – the game-changer for deploying scalable, reliable, and secure Generative AI applications on AWS. Practice sections ensure you’re well-versed with Bedrock, ready to tackle any project.
Key topics covered in this course include:
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Amazon Bedrock introduction and setup for console and CLI access
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Code examples with Python and TypeScript
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Integration between Bedrock and LagChain
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Building an Amazon Bedrock chat bot with history
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Building Image APIs backed by Amazon Bedrock
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Learn all about the essence of AI: embeddings with Bedrock
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Build state of the art RAG app with Bedrock Knowledge bases
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Fine tune models and create your custom models.
Why Choose This Course?
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Expert Guidance: Learn from industry experts with years of experience in AI and AWS.
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Practical Approach: Gain hands-on experience with guided exercises and real-world case studies.
Don’t miss out on this opportunity to become a trailblazer in the world of AI innovation! Enroll now and embark on your journey to becoming a Generative AI expert with Amazon Bedrock and AWS.
Go beyond the theory and learn from active instructors, aligned with today’s programming demands!
Let’s revolutionize the future together!
Who this course is for:
- Professionals keen on expanding their skill set in AI and machine learning, particularly in the domain of Generative AI
- Developers aiming to explore the intersection of AI and cloud computing
- Researchers and academics interested in exploring practical applications of Generative AI
- IT professionals responsible for managing cloud infrastructure and ensuring its security and scalability
Course content
- Course Introduction3 lectures • 8min
- Course Introduction
- Introduction to Amazon Bedrock8 lectures • 43min
- Introduction to Amazon Bedrock
- Working with text models10 lectures • 48min
- Working with text models
- Amazon Bedrock Image models6 lectures • 20min
- Amazon Bedrock Image models
- Amazon Bedrock embedding models8 lectures • 36min
- Amazon Bedrock embedding models
- Halfway discussion1 lecture • 2min
- Halfway discussion
- Project RAG app (local)9 lectures • 48min
- Project RAG app (local)
- Practice: Text API9 lectures • 58min
- Practice: Text API
- Practice: Image API9 lectures • 1hr 10min
- Practice: Image API
- Practice: Bedrock knowledge bases10 lectures • 48min
- Practice: Bedrock knowledge bases
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