AWS Solutions Architect Professional

Skill Up Card bundle only €1,997 !

Save €3,000 per delegate

View course bundle

AWS Certified Solutions Architect - Associate
AWS Certified Solutions Architect - Professional

Developing Generative AI Applications on AWS

4.6 out of 5 rating Last updated 05/12/2024   English

Jump to outline

Click "Enquire" below to find out more about this course

Interested in available dates? Would like to book a private session of this course for your company? Or for any other queries please simply fill out the form below.


Duration

2 Days

12 CPD hours

Overview

Describe generative AI and how it aligns to machine learning
Define the importance of generative AI and explain its potential risks and benefits
Identify business value from generative AI use cases
Discuss the technical foundations and key terminology for generative AI
Explain the steps for planning a generative AI project
Identify some of the risks and mitigations when using generative AI
Understand how Amazon Bedrock works
Familiarize yourself with basic concepts of Amazon Bedrock
List typical use cases for Amazon Bedrock
Describe the typical architecture associated with an Amazon Bedrock solution
Understand the cost structure of Amazon Bedrock
Implement a demonstration of Amazon Bedrock in the AWS Management Console
Define prompt engineering and apply general best practices when interacting with FMs
Identify the basic types of prompt techniques, including zero-shot and few-shot learning
Apply advanced prompt techniques when necessary for your use case
Identify which prompt-techniques are best-suited for specific models
Identify potential prompt misuses
Analyze potential bias in FM responses and design prompts that mitigate that bias
Identify the components of a generative AI application and how to customize a foundation model (FM)
Describe Amazon Bedrock foundation models, inference parameters, and key Amazon Bedrock APIs
Identify Amazon Web Services (AWS) offerings that help with monitoring, securing, and governing your Amazon Bedrock applications
Describe how to integrate LangChain with large language models (LLMs), prompt templates, chains, chat models, text embeddings models, document loaders, retrievers, and Agents for Amazon Bedrock
Describe architecture patterns that can be implemented with Amazon Bedrock for building generative AI applications
Apply the concepts to build and test sample use cases that leverage the various Amazon Bedrock models, LangChain, and the Retrieval Augmented Generation (RAG) approach

Description

This course is designed to introduce generative AI to software developers interested in leveraging large language models without fine-tuning. The course provides an overview of generative AI, planning a generative AI project, getting started with Amazon Bedrock, the foundations of prompt engineering, and the architecture patterns to build generative AI applications using Amazon Bedrock and LangChain.

Module 1: Introduction to Generative AI - Art of the Possible

Overview of ML

Basics of generative AI

Generative AI use cases

Generative AI in practice

Risks and benefits

Module 2: Planning a Generative AI Project

Generative AI fundamentals

Generative AI in practice

Generative AI context

Steps in planning a generative AI project

Risks and mitigation

Module 3: Getting Started with Amazon Bedrock

Introduction to Amazon Bedrock

Architecture and use cases

How to use Amazon Bedrock

Demonstration: Setting Up Bedrock Access and Using Playgrounds

Module 4: Foundations of Prompt Engineering

Basics of foundation models

Fundamentals of prompt engineering

Basic prompt techniques

Advanced prompt techniques

Demonstration: Fine-Tuning a Basic Text Prompt

Model-specific prompt techniques

Addressing prompt misuses

Mitigating bias

Demonstration: Image Bias-Mitigation

Module 5: Amazon Bedrock Application Components

Applications and use cases

Overview of generative AI application components

Foundation models and the FM interface

Working with datasets and embeddings

Demonstration: Word Embeddings

Additional application components

RAG

Model fine-tuning

Securing generative AI applications

Generative AI application architecture

Module 6: Amazon Bedrock Foundation Models

Introduction to Amazon Bedrock foundation models

Using Amazon Bedrock FMs for inference

Amazon Bedrock methods

Data protection and auditability

Demonstration: Invoke Bedrock Model for Text Generation Using Zero-Shot Prompt

Module 7: LangChain

Optimizing LLM performance

Integrating AWS and LangChain

Using models with LangChain

Constructing prompts

Structuring documents with indexes

Storing and retrieving data with memory

Using chains to sequence components

Managing external resources with LangChain agents

Demonstration: Bedrock with LangChain Using a Prompt that Includes Context

Module 8: Architecture Patterns

Introduction to architecture patterns

Text summarization

Demonstration: Text Summarization of Small Files with Anthropic Claude

Demonstration: Abstractive Text Summarization with Amazon Titan Using LangChain

Question answering

Demonstration: Using Amazon Bedrock for Question Answering

Chatbots

Demonstration: Conversational Interface – Chatbot with AI21 LLM

Code generation

Demonstration: Using Amazon Bedrock Models for Code Generation

LangChain and agents for Amazon Bedrock

Demonstration: Integrating Amazon Bedrock Models with LangChain Agents
Additional course details:

Nexus Humans, Developing Generative AI Applications on AWS training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward.

This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts.

Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.

While we feel this is the best course for the ITS Data Analytics course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.

Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

FAQ for the Developing Generative AI Applications on AWS Course

Available Delivery Options for the Developing Generative AI Applications on AWS training.
  • Live Instructor Led Classroom Online (Live Online)
  • Traditional Instructor Led Classroom (TILT/ILT)
  • Delivery at your offices in London or anywhere in the UK
  • Private dedicated course as works for your staff.
How many CPD hours does the Developing Generative AI Applications on AWS training provide?

The 2 day. Developing Generative AI Applications on AWS training course give you up to 12 CPD hours/structured learning hours. If you need a letter or certificate in a particular format for your association, organisation or professional body please just ask.

What is the correct audience for the Developing Generative AI Applications on AWS training?

Software developers interested in leveraging large language models without fine-tuning

Do you provide training for the Developing Generative AI Applications on AWS.

Yes we provide corporate training, dedicated training and closed classes for the Developing Generative AI Applications on AWS. This can take place anywhere in Ireland including, Dublin, Cork, Galway, Northern Ireland or live online allowing you to have your teams from across Ireland or further afield to attend a single training event saving travel and delivery expenses.

What is the duration of the Developing Generative AI Applications on AWS program.

The Developing Generative AI Applications on AWS training takes place over 2 day(s), with each day lasting approximately 8 hours including small and lunch breaks to ensure that the delegates get the most out of the day.

Why are Nexus Human the best provider for the Developing Generative AI Applications on AWS?
Nexus Human are recognised as one of the best training companies as they and their trainers have won and hold many awards and titles including having previously won the Small Firms Best Trainer award, national training partner of the year for Ireland on multiple occasions, having trainers in the global top 30 instructor awards in 2012, 2019 and 2021. Nexus Human has also been nominated for the Tech Excellence awards multiple times. Learning Performance institute (LPI) external training provider sponsor 2024.
Is there a discount code for the Developing Generative AI Applications on AWS training.

Yes, the discount code PENPAL5 is currently available for the Developing Generative AI Applications on AWS training. Other discount codes may also be available but only one discount code or special offer can be used for each booking. This discount code is available for companies and individuals.

Jump to dates

Training Insurance Included!

When you organise training, we understand that there is a risk that some people may fall ill, become unavailable. To mitigate the risk we include training insurance for each delegate enrolled on our public schedule, they are welcome to sit on the same Public class within 6 months at no charge, if the case arises.

What people say about us


Top

}