Mastering AI with AWS Bedrock

Self-Paced Learning
2 Hours
Beginner

Master the essentials of AI with AWS Bedrock through this comprehensive learning path, covering AI fundamentals, generative AI, Amazon Bedrock architecture, and advanced prompt engineering techniques for optimized AI interactions.

$ 35.99
Self-Paced

Embark on a comprehensive journey to master artificial intelligence (AI) technologies using AWS Bedrock. This structured learning path is designed to equip you with both foundational and advanced skills in AI, machine learning (ML), and generative AI.

Starting with an introduction to key concepts, you will explore the evolution of AI and its various branches, including supervised, unsupervised, and reinforced learning. You'll then delve into the exciting realm of generative AI, where you will learn about foundational models and their practical applications, all while leveraging AWS services to support your projects.

The learning path includes an in-depth examination of Amazon Bedrock, guiding you through its architecture and console interface, ensuring you understand how to optimize it for your specific needs. Finally, you will acquire the critical skill of prompt engineering, which is essential for interacting effectively with AI models. You’ll learn techniques and best practices for crafting prompts that lead to accurate and reliable AI outputs.


What You Will Learn:

Introduction to AI, ML, and Neural Networks

  • Gain a foundational understanding of AI, machine learning, and neural networks.
  • Explore the evolution of generative AI and different types of machine learning.
  • Understand the basics of deep learning and how neural networks function.

Exploring Generative AI and Foundation Models with AWS

  • Dive into generative AI concepts, understanding how these technologies operate and their practical use cases.
  • Learn about the essential AWS services that facilitate generative AI implementations.

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

  • Explore the architecture of Amazon Bedrock and its advanced features through comprehensive console walkthroughs.
  • Understand how to configure inference parameters and make informed decisions about pricing.

Prompt Engineering: Techniques and Best Practices

  • Learn the art of prompt engineering to optimize your interactions with AI models.
  • Master techniques for crafting effective prompts that yield high-quality outputs and enhance AI performance.


Who Should Take This Learning Path:

  • Aspiring AI practitioners looking to build a solid foundation in AI and machine learning.
  • Professionals seeking to deepen their understanding of generative AI and AWS Bedrock.
  • Anyone interested in enhancing their skills in prompt engineering for AI applications.


Prerequisites:

No prior experience in AI or AWS is required, making this learning path suitable for both beginners and those looking to expand their existing knowledge.


Course Format:

  • Duration: Self-paced, with each module designed for comprehensive understanding and practical application.
  • Level: Beginner to Intermediate
  • Delivery: Interactive modules featuring video lectures, hands-on labs, and real-world examples.


By the end of this learning path, you'll be equipped with the essential skills to navigate the world of AI using AWS Bedrock, enabling you to develop innovative AI solutions that leverage the power of generative AI.

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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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