Amazon Bedrock - The Complete Guide to AWS Generative AI from Udemy

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:

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.
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.
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.
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:

Amazon Bedrock introduction and setup for console and CLI access
Code examples with Python and TypeScript
Integration between Bedrock and LagChain
Building an Amazon Bedrock chat bot with history
Building Image APIs backed by Amazon Bedrock
Learn all about the essence of AI: embeddings with Bedrock
Build state of the art RAG app with Bedrock Knowledge bases
Fine tune models and create your custom models.

Why Choose This Course?

Expert Guidance: Learn from industry experts with years of experience in AI and AWS.
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.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops Generative AI skills and knowledge, which are core skills for individuals working with AWS

Taught by instructors experienced in both AI and AWS, ensuring students learn best practices

Provides hands-on exercises using Python and JavaScript SDKs, ensuring practical experience

Leverages Amazon Bedrock, a platform for deploying scalable Generative AI applications on AWS

Covers advanced applications like LangChain and RAG apps, preparing students for real-world challenges

Reviews summary

Well-received aws generative ai course

Learners say this easy to follow course about AWS Generative AI is well-structured with engaging assignments. According to reviews, this course is great for both beginners and those who are more advanced. Students particularly enjoyed the informative lectures and great quality of this course.

Instructor is knowledgeable and experienced in the subject matter.

"truly educational course, Sal Jade teaches every aspect of the deck, leaving nothing out"

"Sal's background as a teacher really shows in the way she structures her courses and in the way she produces the content."

"She really knows her stuff and is a great resource for mastering the tarot!"

Lessons are delivered in an interesting and enjoyable way.

"very interesting, easy to follow, easy to understand. Very enjoyable thank you!"

"I like the way the course is set up. I've found the topics easy to remember so far"

"amazing I've learnt so much so far, not just about tarot but about how i connect to it"

Suitable for students with little to no prior knowledge.

"Loved the course. It was easy to learn as Iam beginner."

"Easy to understand for beginners. Well-structured. Thank you Sal."

"The course is good, profound knowledge. I hope it gets more advance when I follow with the rest."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Amazon Bedrock - The Complete Guide to AWS Generative AI with these activities:

Review core concepts of Python programming

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Ensure a solid foundation in Python programming, including data structures, algorithms, and best practices.

Browse courses on Python Programming

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Review online tutorials or documentation on Python.
Solve basic coding problems on platforms like LeetCode.
Create small Python programs to practice implementation.

Practice text summarization techniques

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Refine skills in text summarization, ensuring a strong foundation for advanced Generative AI techniques.

Browse courses on Text Summarization

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Review text summarization algorithms and techniques.
Implement basic text summarization methods using Python.
Evaluate the performance of text summarization models.

Code bug debugging with Python

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Identify and fix errors in Python code to enhance coding skills and problem-solving abilities.

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Identify common error types in Python.
Use debugging tools and techniques to isolate errors.
Fix errors and test code to ensure correct functionality.

Four other activities

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Curate a resource collection on advanced Generative AI applications

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Expand knowledge and stay up-to-date on cutting-edge applications of Generative AI.

Browse courses on Generative AI Applications

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Identify reputable sources for Generative AI research.
Collect articles, white papers, and case studies on diverse applications.
Organize and categorize the resources for easy reference.

Explore advanced text generation with Hugging Face

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Leverage Hugging Face's library to enhance text generation capabilities and explore state-of-the-art models.

Browse courses on Hugging Face Transformers

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Familiarize with the Hugging Face ecosystem.
Identify suitable text generation models for specific tasks.
Fine-tune models for improved performance.

Contribute to open-source projects related to Generative AI

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Gain practical experience in Generative AI while contributing to the open-source community and expanding portfolio.

Browse courses on Community Involvement

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Identify open-source projects that align with interests and skills.
Review project documentation and identify areas for contribution.
Make code contributions, write documentation, or participate in discussions.
Engage with the project community and seek feedback.

Develop a chat bot prototype using Amazon Bedrock

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Gain hands-on experience in building a real-world application to deepen understanding of Generative AI and Amazon Bedrock.

Browse courses on Amazon Bedrock

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Define the requirements and functionality of the chat bot.
Design the chat bot architecture and user interface.
Implement the chat bot using Amazon Bedrock and appropriate APIs.
Test and evaluate the chat bot, gathering feedback for improvement.

Career center

Learners who complete Amazon Bedrock - The Complete Guide to AWS Generative AI will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

A Machine Learning Engineer builds, deploys, and maintains machine learning models. This course may be useful for a Machine Learning Engineer who wants to specialize in Generative AI and AWS. The course provides hands-on experience with guided exercises and real-world case studies, helping an Engineer to become an expert in Amazon Bedrock and AWS.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

A Data Scientist analyzes data to extract insights and solve problems. This course may be useful for a Data Scientist who wants to specialize in Generative AI and AWS. The course covers text generation, image generation, embedding techniques for vector databases, and more, allowing a Data Scientist to become well-versed in Amazon Bedrock and AWS.

See salaries and explore the career path for Data Scientist

AI Engineer

An AI Engineer designs, develops, and deploys AI solutions. This course may be useful for an AI Engineer who wants to specialize in Generative AI and AWS. The course covers text generation, image generation, embedding techniques for vector databases, and more, allowing an Engineer to become well-versed in Amazon Bedrock and AWS.

See salaries and explore the career path for AI Engineer

Robotics Engineer

A Robotics Engineer designs, develops, and deploys robotics solutions. This course may be useful for a Robotics Engineer who wants to specialize in Generative AI and AWS. The course covers text generation, image generation, embedding techniques for vector databases, and more, allowing an Engineer to become well-versed in Amazon Bedrock and AWS.

See salaries and explore the career path for Robotics Engineer

Computer Vision Engineer

A Computer Vision Engineer designs, develops, and deploys computer vision solutions. This course may be useful for a Computer Vision Engineer who wants to specialize in Generative AI and AWS. The course covers text generation, image generation, embedding techniques for vector databases, and more, allowing an Engineer to become well-versed in Amazon Bedrock and AWS.

See salaries and explore the career path for Computer Vision Engineer

Natural Language Processing Engineer

A Natural Language Processing Engineer designs, develops, and deploys natural language processing solutions. This course may be useful for a Natural Language Processing Engineer who wants to specialize in Generative AI and AWS. The course covers text generation, image generation, embedding techniques for vector databases, and more, allowing an Engineer to become well-versed in Amazon Bedrock and AWS.

See salaries and explore the career path for Natural Language Processing Engineer

AI Researcher

An AI Researcher conducts research in the field of artificial intelligence. This course may be useful for an AI Researcher who wants to specialize in Generative AI and AWS. The course covers text generation, image generation, embedding techniques for vector databases, and more, allowing a Researcher to become well-versed in Amazon Bedrock and AWS.

See salaries and explore the career path for AI Researcher

Data Analyst

A Data Analyst analyzes data to extract insights and solve problems. This course may be useful for a Data Analyst who wants to specialize in Generative AI and AWS. The course covers text generation, image generation, embedding techniques for vector databases, and more, allowing an Analyst to become well-versed in Amazon Bedrock and AWS.

See salaries and explore the career path for Data Analyst

Project Manager

A Project Manager plans and executes projects. This course may be useful for a Project Manager who wants to specialize in Generative AI and AWS. The course covers text generation, image generation, embedding techniques for vector databases, and more, allowing a Manager to become well-versed in Amazon Bedrock and AWS.

See salaries and explore the career path for Project Manager

Sales Manager

A Sales Manager manages a team of sales representatives. This course may be useful for a Sales Manager who wants to specialize in Generative AI and AWS. The course covers text generation, image generation, embedding techniques for vector databases, and more, allowing a Manager to become well-versed in Amazon Bedrock and AWS.

See salaries and explore the career path for Sales Manager

Business Analyst

A Business Analyst analyzes business processes to identify opportunities for improvement. This course may be useful for a Business Analyst who wants to specialize in Generative AI and AWS. The course covers text generation, image generation, embedding techniques for vector databases, and more, allowing an Analyst to become well-versed in Amazon Bedrock and AWS.

See salaries and explore the career path for Business Analyst

Marketing Manager

A Marketing Manager develops and executes marketing campaigns. This course may be useful for a Marketing Manager who wants to specialize in Generative AI and AWS. The course covers text generation, image generation, embedding techniques for vector databases, and more, allowing a Manager to become well-versed in Amazon Bedrock and AWS.

See salaries and explore the career path for Marketing Manager

Product Manager

A Product Manager manages the development and launch of new products. This course may be useful for a Product Manager who wants to specialize in Generative AI and AWS. The course covers text generation, image generation, embedding techniques for vector databases, and more, allowing a Manager to become well-versed in Amazon Bedrock and AWS.

See salaries and explore the career path for Product Manager

Software Engineer

A Software Engineer designs, develops, and maintains software systems. This course may be useful for a Software Engineer who wants to specialize in Generative AI and AWS. The course provides hands-on experience with guided exercises and real-world case studies, helping an Engineer to become an expert in Amazon Bedrock and AWS.

See salaries and explore the career path for Software Engineer

Architect

An Architect creates, tests, and provisions cloud computing solutions and maintains the infrastructure of the solution. This course may be useful for an Architect who wants to work in the domain of Generative AI and AWS. The course dives deep into Generative AI, hands-on exercises using Python's boto3, JavaScript SDKs, and more, allowing an Architect to become well versed in Amazon Bedrock, ready to tackle any project.

See salaries and explore the career path for Architect