Generative AI on AWS E-Learning

Order this unique E-Learning course Generative AI on AWS online, 1 year 24/7 access to rich interactive videos, speech, progress monitoring through reports and tests per chapter to test the knowledge directly.

What is generative AI?

Generative artificial intelligence (generative AI) is a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music. AI technologies attempt to mimic human intelligence in nontraditional computing tasks like image recognition, natural language processing (NLP), and translation. Generative AI is the next step in artificial intelligence. You can train it to learn human language, programming languages, art, chemistry, biology, or any complex subject matter. It reuses training data to solve new problems. For example, it can learn English vocabulary and create a poem from the words it processes. Your organization can use generative AI for various purposes, like chatbots, media creation, and product development and design.

Course content

Generative AI on AWS: Generative AI on AWS: Getting Started

Course: 1 Hour, 10 Minutes

• Course Overview
• Generative Artificial Intelligence (AI) Principles in an AWS Context
• Advantages of Using AWS for Generative AI
• Foundational Models in AWS and Their Popularity
• AI Startup Foundational Models
• How Foundational Models Operate
• Power of Generative Models by Foundational Models
• AWS Generative AI Services
• AI Services vs. Generative AI Services on AWS
• AWS Generative AI Service Deep Dive
• Generative AI Uses Cases
• Working with Generative AI on AWS
• Course Summary

Generative AI on AWS: Building GenAI Models with Amazon SageMaker

Course: 1 Hour, 36 Minutes

• Course Overview
• Fundamental Concepts of Generative Models
• Types of Generative Models: GANs and VAEs
• Comparing Generative Model Architectures
• Designing GANs with Amazon SageMaker
• Performing Data Preprocessing for Generative Models in SageMaker
• Training Generative Models with SageMaker Algorithms
• Executing Distributed Training of Generative Models in SageMaker
• Optimizing and Fine-tuning Generative Models in SageMaker1
• Applying Transfer Learning for Generative Models in Specific Domains
• Evaluating Generated Content Quality and Diversity
• Deploying Generative Models in SageMaker for Real-time Inference
• Monitoring Generative Models in SageMaker
• Course Summary

Generative AI on AWS: Building GenAI Models with Amazon Bedrock

Course: 1 Hour, 6 Minutes

• Course Overview
• Amazon Bedrock
• Generative AI Models with Amazon Bedrock
• Benefits of Amazon Bedrock
• Amazon Bedrock API
• Using the Amazon Bedrock Console
• Developing a Generative AI Model
• Evaluating a Generative AI project
• Designing a Business Application Using Amazon Bedrock
• Amazon Bedrock Strengths and Weaknesses
• Course Summary

Generative AI on AWS: Generating Code with Amazon CodeWhisperer

Course: 1 Hour, 8 Minutes

• Course Overview
• Artificial Intelligence (AI) Code Generation Explained
• Amazon CodeWhisperer
• Code Generation with CodeWhisperer
• CodeWhisperer Use Cases
• Key Features of CodeWhisperer
• Setting Up CodeWhisperer
• Getting Started with CodeWhisperer
• Code Suggestions
• Configuring Security Scans
• Optimizing Software Development with CodeWhisperer
• CodeWhisperer Best Practices
• Course Summary