Amazon Nova: HandsOn Learning

Amazon Nova: Hands-On Learning
Published 3/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Understand capabilities of Amazon Nova models through hands-on experience-without getting lost in technical jargon

What you’ll learn

Understand Amazon Nova’s Capabilities

Apply Nova Models to Real-World Use Cases

Develop Hands-On Experience with Nova

Master Best Practices for Prompt Engineering

Requirements

Basic understanding of AWS and Generative AI

Description

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Amazon Nova

Lecture 2 01 – What is Amazon Nova

Lecture 3 02 – Amazon Nova Family

Lecture 4 03 – Quick Comparision

Lecture 5 04 – Amazon Bedrock

Section 3: Hands-on Workshop – 1

Lecture 6 05 – Intro to Workshop

Lecture 7 06 – SageMaker Domain

Lecture 8 07 – JupyterLab Space Setup

Lecture 9 08 – Another Notebook

Section 4: Amazon Nova Canvas

Lecture 10 09 – Text to Image

Lecture 11 10 – Inpainting

Lecture 12 11 – Outpainting

Lecture 13 12 – Background Removal

Lecture 15 14 – Image Conditioning

Lecture 16 15 – Color Conditioning

Lecture 17 16 – Another workshop

Lecture 18 17 – Cleanup

Section 5: Amazon Nova Reel

Lecture 19 18 – Amazon Nova Reel

Lecture 20 19 – Text to Video

Lecture 21 20 – Image to Video

Lecture 22 21- Prompting Best Practices

Lecture 23 22 – Pricing Information

Section 6: Amazon Nova – Micro, Lite, Pro

Lecture 24 23 – Content Understanding Models

Lecture 25 24 – Some Examples

Lecture 26 25 – Which model to use

Section 7: Prompt Engineering Techniques

Lecture 27 26 – Customizing Foundation Models

Section 8: How Amazon Nova is created?

Lecture 32 31 – How a model is created

Lecture 33 32 – Training Infrastructure of Amazon Nova

Section 9: Hands-on Workshop – 2

Lecture 34 33 – Important APIs

Lecture 35 34 – Workshop Setup

Section 10: What’s next?

Lecture 38 37 – Next step and Resources

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