AWS Generative AI on AWS

AWS Generative AI on Amazon Web Services (AWS)

Na inschrijving van de Award Winning E-learning training Generative AI on AWS, ontvangt u per e-mail een link om in te loggen in uw leeromgeving waar u een persoonlijk wachtwoord aanmaakt. Eenmaal ingelogd in uw persoonlijke leeromgeving ziet u een overzicht van de cursusonderdelen. Via de inhoudsopgave schakelt u automatisch over naar elk gewenst onderdeel van de training.

Er zit tevens een Voortgangsbewaking bij om eenvoudig te zien hoe ver u bent binnen uw training. U kunt daarbij 1 jaar lang (365 dagen), 24/7 (elke dag en nacht) inloggen om verder te gaan met de training.

Deze Engelstalige training met ondertiteling heeft interactieve, eenvoudig te volgen video's in HD beeldkwaliteit met heldere audio kwaliteit. Daarnaast biedt de training Support en/of een Online Mentor aan als u problemen ondervindt. De training is beschikbaar in elke browser voor zowel PC, Mac, Tablet én Smartphone. Dus zelfs via uw mobiel kunt u handig de training volgen.

De training is inclusief lees- en/of praktijkopdrachten met trainingstest, mits noodzakelijk voor de training. Na afronding van de training krijgt u een Certificaat van Deelname en sluit u zich aan bij de reeds duizenden tevreden cursisten.

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.

Cursusinhoud

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

OEM Office Elearning Menu is an officially accredited Test Centre for Pearson Vue Test & Certiport. You are welcome to contact us for exams available through these Test Centres. Exams can be taken by appointment within office hours.

Date

You can start at any time! Please contact one of our training advisors.

Locations

Self-study

Learning method

E-Learning

Training duration: 5+ uur (excl. real live challance labs)

Language

English

Tip!

Provide a quiet learning environment, time and motivation, audio equipment such as headphones or speakers for audio, account information such as login details to access the e-learning platform. toegang tot het e-learning platform.