Mastering Amazon Bedrock: Deep Dive into Architecture, Console, and Inference

Self-Paced Learning
20 Min
Beginner

Master Amazon Bedrock with this in-depth course, exploring its architecture, console navigation, inference parameters, and pricing to optimize your AI/ML workflows.

$ 9.99
Self-Paced

About this Course

Unlock the full potential of Amazon Bedrock with this comprehensive course designed to provide an in-depth understanding of its architecture, console, and inference capabilities. Whether you're a developer, data scientist, or IT professional, this course offers the detailed knowledge and practical skills you need to effectively leverage Amazon Bedrock in your AI and ML projects.

What You'll Learn in this Course
  • Amazon Bedrock Overview: Start with a high-level overview of Amazon Bedrock, including its purpose, key features, and the benefits it brings to AI/ML workflows.
  • Introduction to Amazon Bedrock: Dive into the core concepts of Amazon Bedrock, understanding how it fits into the broader AWS ecosystem and its role in simplifying AI and ML model deployment.
  • Bedrock Console Walkthrough - Part 1: Get hands-on with Amazon Bedrock's console, exploring the user interface, key functionalities, and how to navigate through its various components.
  • Bedrock Console Walkthrough - Part 2: Continue your exploration of the Bedrock console, focusing on more advanced features and configurations that can optimize your AI/ML projects.
  • Amazon Bedrock Architecture: Gain a deep understanding of the underlying architecture of Amazon Bedrock, including its design principles, components, and how it supports scalable and efficient model deployment.
  • Inference Parameters - Temperature: Learn about the inference parameters in Amazon Bedrock, with a specific focus on the temperature setting, and how it affects model behavior and output generation.
  • Inference Parameters - Part 2: Delve into additional inference parameters in Amazon Bedrock, understanding their roles and how to fine-tune them for optimal performance.
  • Bedrock Pricing: Get a clear understanding of Amazon Bedrock's pricing model, including how costs are calculated, pricing tiers, and best practices for cost management.
Who Should Take this Course
  • AI/ML Developers: Developers working on AI/ML projects who want to optimize model deployment using Amazon Bedrock.
  • Data Scientists: Professionals looking to streamline their workflows and enhance their models' performance with Amazon Bedrock.
  • Cloud Architects & IT Professionals: Those responsible for managing and scaling AI/ML infrastructure on AWS will benefit from understanding Amazon Bedrock's architecture and pricing.
  • Business Decision Makers: Leaders looking to integrate AI/ML solutions into their business strategy with cost-effective and scalable tools.


By the end of this course, you'll be equipped with the knowledge and skills to master Amazon Bedrock, from navigating its console to fine-tuning inference parameters and managing costs. Whether you're aiming to enhance your AI/ML capabilities or streamline your deployment process, this course will provide the expertise you need to succeed with Amazon Bedrock.

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Meet the Coaches

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Sudhanshu Pandey

Software Engineer

Sudhanshu is Redhat Certified and a Computer Science graduate. He has worked on multiple technologies including Devops, ML, Python, Redhat Linux, MySQL, MongoDB, Cloud Computing, web development and mobile app development. He is currently working as an ML engineer for a startup and as a trainer on a content delivery team for Linuxworld.

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Khalil Demeri​

Cloud Solutions Architect

Khaleel has many years of experience in servers administration on Linux and Windows platforms, managing 4000+ servers running different flavors of Linux and web hosting control panels. He helps the team to deal with Windows (MCSE) and Linux Server related issues and services administration. Install, configure and integrate system/solution/OS at site and remotely.

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Saurabh Khan​

Cloud Coach

Saurabh is an enthusiastic instructor and accomplished Cloud Engineer. With a solid background in architecting cloud solutions and hands-on experience in configuring and deploying applications on leading cloud platforms like Azure, GCP, and AWS, Saurabh possesses a wealth of knowledge to share with learners.

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John Morah

Azure Architect

John is an experienced instructor and highly skilled Cloud Architect who brings a wealth of technical expertise to the table. With a career that began in January 2001, John has been fixing computers and providing technical training and support on Microsoft and Google technologies for over two decades.

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Arjun Sasikumar

Cloud Architect

Arjun has 10+ years of IT experience. Currently working as a Google Cloud Consultant in a Multi-National Company. He is holding certifications in Google Cloud Digital Leader , Google Cloud Associate Cloud Engineer and Google Cloud Professional Cloud Architect.

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Godfrey Chatira

Azure Solutions Architect

An experienced Azure Solutions Architect, with a proven track record of designing and implementing complex cloud solutions on the Microsoft Azure platform. With expertise in cloud architecture, infrastructure, security, and governance, I help organizations to maximize their investments in cloud by providing tailored solutions that align with business goals and technical requirements.

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Don Restarone

Software Engineer

End to end software architect with a proven track record for building high achieving MVP's, enterprise applications and unlocking millions of dollars in revenue for startups and founders.

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Fady Ibrahim

Google Cloud Champion Innovator

Google Cloud Champion Innovator specializing in Modern Architecture. Fady is also a Google Cloud Insider and Google Cloud Authorized Trainer.

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Gouthami Matavalam​

Senior Technical Architect

A dynamic and positive Software Engineering coach with a knack for strategic problem-solving and troubleshooting. With extensive experience in Java and Java Frameworks, Gouthami brings a structured and creative approach to coaching, helping clients achieve their personal and professional goals through tailored guidance and support. Her enthusiasm and expertise make learning engaging and effective.

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Rahees Khan

Cloud Engineer

With a Bachelor of Technology degree in Computer Science from Lovely Professional University, I have a strong foundation in modern application architectures and microservices-based deployments. I have demonstrated proficiency in Docker, Kubernetes, and OpenShift, as well as Infrastructure as Code tools such as Ansible and Terraform. I have leveraged my skills to optimize applications across Kubernetes environments, minimize vulnerabilities in microservices, and automate the provisioning of infrastructure on Google Cloud.

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Jeff Fudge

Director of Solutions Architecture & Engineering

Things I am passionate about: Technology, Community, Cyber Security, AWS and all things Cloud. I have strengths in cloud migration and strategy, PCI compliance, infrastructure consolidation and the design and implementation of high performance architectures. I enjoy working with business leadership and external partners on digital strategy and solution roadmaps. What I've been: Cloud Practice Director, CIO, CTO, VP of Technology, Director of Infrastructure. What I am now: Director of Solutions Architecture & Engineering at JetSweep and AWS User Group Leader. Who I am: A passionate, high energy, sarcastic, "glass is probably fuller than it looks" kind of guy.

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