Overview
Mactores invites you to a full-day Engineering Immersion Day designed to unlock the potential of AWS Gen AI capabilities tailored to your business needs.
This workshop is crafted to provide an intensive, hands-on experience with AWS Gen AI tools, ensuring that you leave with a clear understanding of how to leverage these technologies to address your specific challenges.
Workshop Structure
Discovery Call Initial conversation to understand your unique requirements and challenges. Identification of specific use cases for AWS Gen AI within your business context.
Workshop Agenda The workshop spans one full day and is divided into 8 comprehensive agendas to ensure a thorough understanding of AWS Gen AI capabilities.
Agenda 1: Agents for Amazon Bedrock Workshop
Overview of Amazon Bedrock and its AI capabilities.
Demonstrations on how to build and deploy intelligent agents using Amazon Bedrock.
Real-world applications and success stories.
Agenda 2: Amazon Bedrock Workshop
Deep dive into Amazon Bedrock’s core features.
Best practices for integrating Bedrock into existing workflows.
Hands-on activities to familiarize participants with Bedrock's functionalities.
Agenda 3: Building Generative AI Apps on AWS with CDK and Amazon Bedrock
Introduction to AWS Cloud Development Kit (CDK) and its use in building AI applications.
Step-by-step guide on deploying generative AI models using CDK and Amazon Bedrock.
Practical exercises to build and test your own AI applications.
Agenda 4: Prompt Engineering with Anthropic Claude v3
Introduction to prompt engineering and its significance in AI model performance.
Hands-on workshop with Anthropic Claude v3 to design effective prompts.
Techniques for optimizing and fine-tuning prompts for various applications.
Agenda 5: Building with Generative AI on AWS using PartyRock, Amazon Bedrock, and Amazon Q
Overview of PartyRock and its integration with Amazon Bedrock and Amazon Q.
Practical exercises on building generative AI solutions using these tools.
Strategies for combining these technologies to create innovative AI applications.
Agenda 6: Building with Amazon Bedrock and LangChain
Introduction to LangChain and its capabilities.
Tutorial on integrating LangChain with Amazon Bedrock to build complex AI workflows.
Examples of successful implementations and best practices.
Agenda 7: Innovate on Enterprise Data with Generative AI & Amazon Q Business Application
Techniques for leveraging generative AI to unlock insights from enterprise data.
Case studies on the application of Amazon Q in business scenarios.
Workshop on designing and deploying AI-driven business applications.
Agenda 8: Secure Your Code with Amazon Q Developer
Best practices for ensuring the security of AI applications.
Hands-on session on using Amazon Q Developer tools to secure code.
Strategies for maintaining data privacy and compliance in AI projects.
Post-Workshop Deliverables
Detailed Report: A comprehensive document outlining the AWS Gen AI capabilities discussed during the workshop.
Tailored Recommendations: Specific advice and strategies tailored to your use cases.
High-Level Implementation Plan: A strategic roadmap for implementing the proposed AI solutions.
By the end of the Engineering Immersion Day, you will have an in-depth understanding of AWS Gen AI tools and a clear plan for integrating these technologies into your business to drive innovation and efficiency.
Highlights
- Interactive sessions with AWS Gen AI tools such as Amazon Bedrock, CDK, Anthropic Claude v3, and LangChain provide practical experience and real-world application, making learning both engaging and effective.
- The workshop includes 8 different agendas covering a wide range of AWS Gen AI tools and applications. Topics range from building generative AI apps and prompt engineering to securing AI code and innovating with enterprise data.
- The workshop culminates in the development of a strategic roadmap for implementing AI solutions within the client’s business, providing clear and actionable steps to drive innovation and efficiency.
Details
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