
Amazon Nova is a new family of foundation models announced at Reinvent 2024. It delivers low cost, fast performance, and domain-specific customization with Rag for integration and responsible AI safeguards.
Set up a SageMaker domain in the AWS console, launch Studio, create a Jupyter Lab space, clone the repo, and begin image generation with Noah Canvas and bedrock.
Learn to generate videos from text prompts using Amazon Nova Reel in a hands-on workshop, covering text to video, image to video, and S3 storage with asynchronous status tracking.
Learn prompting best practices for image and video generation with Amazon Nova and Nova Reel. Craft prompts describing subject, lighting, style, and camera motion, and use negative prompts and seeds.
Amazon Nova pricing uses token counts to calculate input and output costs, estimate image and video charges via the Bedrock service, and set budgets using the Amazon Web Services calculator.
Select the Amazon Nova model by balancing input type and priorities such as cost, speed, and efficiency, using multiple models for text, image, and video tasks on AWS Bedrock.
Explore Amazon Nova training infrastructure, including Amazon EC2 accelerated instances, Elastic Fabric Adapter, S3 and FSx for Lustre storage, and Amazon SageMaker Hyper Pod, plus orchestration and monitoring.
Access Amazon Nova models on Bedrock via converse, invoke, and streaming APIs for stateful chats or single prompts, with no long-term data retention.
Welcome to the most engaging and beginner-friendly Amazon Nova digital training! This course is designed for those who want to truly understand capabilities of Amazon Nova models through hands-on experience—without getting lost in technical jargon.
Simplified explanations
Instead of overwhelming you with complexity I break down everything down using relatable analogies that make learning intuitive and fun.
Learn by doing
Each module is packed with hands-on workshops, where you’ll deploy and fine-tune Nova models in real-world scenarios.
Real-life usecases
From automating customer support to predicting trends, discover how Amazon Nova can transform businesses.
Instead of overwhelming you with complex equations and AI terminology, we break everything down using relatable analogies, real-world examples, and simplified explanations that make learning intuitive and fun.
Here’s the set of learning objectives for your Amazon Nova Training:
Understand Amazon Nova's Capabilities – Gain a clear understanding of what Amazon Nova models are, how they function, and their core capabilities through simplified explanations and relatable analogies.
Apply Nova Models to Real-World Use Cases – Learn how to use Amazon Nova for practical business applications, such as automating customer support, trend prediction, and optimizing workflows.
Develop Hands-On Experience with Nova – Deploy, fine-tune, and experiment with Amazon Nova models in hands-on workshops, ensuring you can confidently apply what you’ve learned in real-world scenarios.
Master Best Practices for Prompt Engineering – Learn how to craft effective prompts to get the most accurate, efficient, and relevant responses from Amazon Nova models, improving their performance for various applications.