Hands-On Lab: Getting Started with Amazon Bedrock : Text Generation using Console

Hands-On with Amazon Bedrock Learn to generate high-quality text using AI for emails, product descriptions, and more.
Get practical, beginner-friendly experience with Models in the Bedrock Playground.

Why this lab

Why This Lab?

Here is what makes this hands-on experience worth your time:

100% Free — no cost to access the lab guide

Beginner-Friendly — no prior ML or coding experience needed

Console-Based — everything done via the AWS Bedrock Console UI

K21 Academy Certified — trusted by thousands of cloud learners

Estimated Duration: ~1 hours

About

About This Hands-On Lab

This is a lead magnet resource associated with the K21 Academy hands-on project lab. After filling in your details, you will receive access to the complete lab guide:

Lab Name

Getting Started with Amazon Bedrock: Text Generation @Console

Document

Amazon Bedrock Playground: Beginner's Guide to Text Generation

What you get

What You Will Get

Once you submit the form, you will receive:

The complete lab guide document (Amazon Bedrock Playground: Beginner's Guide to Text Generation)

Step-by-step instructions to complete the lab at your own pace

What you build

What You Will Build

In this hands-on lab, you will build and explore the Amazon Bedrock console to generate text using foundation models. By the end, you will have practical experience with:

Navigating the Amazon Bedrock console

Selecting and invoking foundation models for text generation

Crafting effective prompts for different use cases

Understanding model parameters such as temperature and max tokens

Comparing outputs from multiple foundation models

Applying text generation to real-world scenarios

What you learn

What You Will Learn

This lab covers the following key learning areas:

Introduction to Amazon Bedrock and its console interface

Exploring available foundation models (Anthropic Claude, Amazon Titan, etc.)

Using the Bedrock Playground for interactive text generation

Configuring inference parameters for optimal outputs

Hands-on prompt engineering techniques

Best practices for responsible AI use on AWS

Who it's for

Who Is This For?

This lab is ideal for:

Cloud professionals looking to upskill in Generative AI on AWS

Developers and engineers exploring LLM-based application development

Students and job seekers preparing for AWS AI/ML interviews

Anyone curious about Amazon Bedrock and foundation models

Prerequisites

Prerequisites

What you need before starting:

AWS Account: Active AWS account

Experience: Basic familiarity with the AWS Console

Level: Beginner-friendly — no prior ML experience required

Troubleshooting

Troubleshooting

While performing the lab, you may encounter the following error:

Error 8.1.1 — The provided model identifier is invalid

8.1.2 Cause Incorrect region. Ensure that you are working in the correct AWS region where the specific model or service is available. Amazon Bedrock services and models may not be supported in all regions.

8.1.3 Fix Switch region to US West (Oregon) or N. Virginia (us-east-1)

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