---
title: LLMs Unleashed - An IT/DevOps Adventure with AWS Bedrock
description: We've all heard the buzz about Large Language Models (LLMs), but what do they really mean for IT and DevOps professionals? Join our workshop to find out
---

[![teraSky](https://landing.terasky.com/hs-fs/hubfs/kuberneted-images/teraSky.png?width=338&height=136&name=teraSky.png)](https://www.terasky.com/)

# LLMs Unleashed - An IT/DevOps Adventure with AWS Bedrock

 

 **When:**

August 20, 2024 | 9:30 AM-4:00 PM

 

**Where:**

AWS 28th Floor

Derech Menachem Begin 121, Tel Aviv-Yafo

 

**Register Now**

## AWS LLMs in Action

Large Language Models (LLMs) \[boosted\] with AWS Bedrock can enhance your infrastructure management, streamline processes, and help you deliver more responsive and efficient applications to your users. This hands-on workshop will showcase the practical applications of AWS LLMs, making sure you grasp the core concepts and how to leverage them to enhance day-to-day operations.

Register Now

#### Register Now!

\* Kindly note that participation is subject to the organizer's approval. 

### Agenda

**09:30-10:15**

**Gathering & Breakfast**

 

**10:15-10:45**

**Introduction to LLM and Prompt Engineering**  
Understand the fundamentals of Large Language Models and learn various prompt engineering patterns to optimize your use of LLMs

 

**10:45-11:30**

**Explore AWS LLM Offerings**  
Discover Amazon Bedrock and SageMaker Jumpstart, including deep dive into vector embedding and RAG

 

**11:30-11:45**

**Coffee Break**

 

**11:45-13:15**

**Hands-On Labs** (1.5 hours)

- **Prompt Engineering Lab:** Apply learned patterns to optimize your LLM usage
- **Entity Extraction Lab:** Utilizing entity extraction patterns for parsing heterogeneous log files to extract critical data like IP addresses, instance IDs, service names, error codes, and configuration details.
- **Knowledge Bases and Retrieval-Augmented Generation (RAG) Lab:** Enhancing AI capabilities through knowledge bases and RAG techniques. This involves integrating AWS Well-Architected Framework documentation into a knowledge base and analyzing IAM policies for best practices.

 

**13:15-13:45**

**Lunch**

 

**13:45-15:15**

**Hands-On Labs** (1.5 hours)

- **Converting Terraform Templates to AWS with Bedrock:** Streamline infrastructure deployment by converting Azure Terraform templates to AWS.
- **Manual Creation and Testing of a Guardrail Using the AWS Console:** Walk through the manual creation and testing of a guardrail to ensure robust and secure deployments.
- **Monitoring Generative AI Applications:** Integrate Amazon Bedrock with Amazon CloudWatch for effective monitoring.

 

**15:15-15:30**

**Coffee Break**

 

**15:30-16:00**

**Summary and Future Directions**  
Discuss key differences between AWS LLM offerings and explore exciting future advancements in production environments. 

![modern_data](https://landing.terasky.com/hubfs/kuberneted-images/modern_data.png)

## Expert Speaker

**Elad Hirsch**

Tech Lead, CTO Office, TeraSky

 

![technology](https://landing.terasky.com/hubfs/kuberneted-images/technology.png)

Find out how LMMs and Amazon Bedrock can transform the world of IT and DevOps.

 

**Space is limited, sign up today!**

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