Trending Courses

Vendors

Skip Navigation Links

Overview

The AWS Generative AI course encompasses intensive training that equips software developers with the required capability to build Generative AI applications without model fine-tuning. This online AWS Generative AI training course takes students through planning the basics of a generative AI project, understanding Amazon Bedrock, mastering prompt engineering, and key architecture patterns that can implement scalable AI development using LangChain and Amazon Bedrock. With hands-on learning, the participants will be capable of constructing practical AI applications following the best practices of Generative AI. 
This class covers the most important topics, like AI automation, workflow optimisation, and leveraging AWS tooling for effective application development. It will be of great interest to developers who seek advanced details on generative AI and want to learn how to design projects with the least effort but the biggest impact.
img-course-overview.jpg

What You'll Learn

  • 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
  • Recognize the benefits 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

Who Should Attend

This course is intended for:

  • Software developers interested in leveraging large language models without fine-tuning
img-who-should-learn.png

Prerequisites

We recommend that attendees of this course have:

  • AWS Technical Essentials
  • Intermediate-level proficiency in Python

Learning Journey

Coming Soon...

Day 1

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

Day 2

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

Instructors

Scott Duffy

Bestselling Azure & TOGAF® Trainer, Microsoft Azure MVP

4.8 (4.1k)
|
10 Courses
profile-instructor-a.png
Scott Duffy

Bestselling Azure & TOGAF® Trainer, Microsoft Azure MVP

4.8 (4.1k)
|
10 Courses
profile-instructor-a.png

Frequently Asked Questions (FAQs)

  • Why get AWS certified?

    AWS certifications validate your expertise in cloud computing and your proficiency in using AWS services.

    These certifications are globally recognized and highly sought after by employers, as they demonstrate your ability to design, deploy, and manage scalable and secure cloud solutions on the AWS platform.

    AWS-certified professionals are in high demand, opening doors to new career opportunities and higher earning potential.

  • What to expect for the examination?

    AWS offers a variety of certification exams at different levels (Foundational, Associate, Professional, and Specialty) covering various domains and services.

    The exams typically consist of multiple-choice and multiple-response questions, and some may include scenario-based questions that assess your ability to apply your knowledge in real-world situations.

    Note: Certification requirements and policies may be updated by AWS from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • How long is AWS certification valid for?

    AWS certifications are valid for three years from the date of passing the exam.

    To maintain your certification, you will need to recertify by passing the latest version of the exam or completing the AWS Cloud Quest game-based training (if option is applicable).

    Note: Certification requirements and policies may be updated by AWS from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • Why take this course with Trainocate?

    Here’s what sets us apart:

    - Global Reach, Localized Accessibility: Benefit from our geographically diverse training hubs in 16 countries (and counting!).

    - Top-Rated Instructors: Our team of subject matter experts (with high average CSAT and MTM scores) are passionate to help you accelerate your digital transformation.

    - Customized Training Solutions: Choose from on-site, virtual classrooms, or self-paced learning to fit your organization and individual needs.

    - Experiential Learning: Dive into interactive training with our curated lesson plans. Participate in hands-on labs, solve real-world challenges, and take on comprehensive assessments.

    - Learn From The Best: With 30+ authorized training partnerships and countless awards from Microsoft, AWS, Google – you're guaranteed learning from the industry's elite.

    - Your Bridge To Success: We provide up-to-date course materials, helpful exam guides, and dedicated support to validate your expertise and elevate your career.

Keep Exploring

Course Curriculum

Training Schedule

Exam & Certification

Frequently Asked Questions

img-improve-career.jpg

Improve yourself and your career by taking this course.

More Courses By AWS

Browse All Courses
aws-mga-migrating-to-aws-training
Migration and Transfer

Migrating to AWS

This course is for individuals who seek an understanding of how to plan and migrate existing workloads to the AWS Cloud.
ILT VILT
Course Duration 3 Days
aws-devops-devops-engineering-on-aws-training
AWS Role - Based

DevOps Engineering on AWS

Learn how to use the most common DevOps patterns to develop, deploy and maintain applications on AWS.
ILT VILT
Course Duration 3 Days
aws-arc-architecting-on-aws-training
AWS Role - Based

Architecting on AWS

From this course, you will learn how to optimize the AWS Cloud by understanding how AWS services fit into cloud-based solutions.
ILT VILT
Course Duration 3 Days
img-get-info.jpg

Ready to Take Your Business from Great to Awesome?

Level-up by partnering with Trainocate. Get in touch today.

Name
Email
Phone
I'm inquiring for
Inquiry Details

By providing your contact details, you agree to our Privacy Policy.

Stay Connected. Be the first to Know.

Company

Vendors

Services

Customer Service

© Copyright Trainocate 2024. All rights reserved.