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AWS: IoT, Machine Learning and Blockchain

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AWS: IoT, Machine Learning and Blockchain

Ce cours fait partie de Spécialisation "Exam Prep (SAP-C02): AWS Solutions Architect - Professional"

Instructeur : Whizlabs Instructor

Inclus avec

2 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

5 heures à compléter

Planning flexible

Apprenez à votre propre rythme

2 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

5 heures à compléter

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

Learn AWS IoT Core, IoT Events, and IoT Greengrass to enable secure device connectivity, data processing, and edge computing.
Gain insights into the use of Amazon SageMaker, Personalize, and Kendra for building, training, and deploying intelligent applications.
Discover use cases for Amazon Managed Blockchain and compare virtual desktop solutions with Amazon WorkSpaces vs WorkSpaces Web.

Compétences que vous acquerrez

Catégorie : Image Analysis
Catégorie : Text Mining
Catégorie : Internet Of Things
Catégorie : AI Personalization
Catégorie : Remote Access Systems
Catégorie : Event-Driven Programming
Catégorie : Natural Language Processing
Catégorie : Blockchain
Catégorie : Artificial Intelligence and Machine Learning (AI/ML)
Catégorie : Computer Vision
Catégorie : Scalability
Catégorie : Cloud Services
Catégorie : Applied Machine Learning

Outils que vous découvrirez

Catégorie : AWS SageMaker
Catégorie : Amazon Web Services
Catégorie : Model Deployment

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

Évaluations

4 devoirs

Enseigné en Anglais

91%

of learners achieved a positive career outcome

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Ce cours fait partie de la Spécialisation "Exam Prep (SAP-C02): AWS Solutions Architect - Professional"

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Il y a 2 modules dans ce cours

AWS: IoT, Machine Learning, and Blockchain is the second course of Exam Prep (SAP-C02): AWS Certified Solutions Architect - Professional Specialization. This course explores key AWS services for building intelligent and connected applications. Learners will gain insights into AWS IoT Core, AWS IoT Events, and IoT Greengrass. The course also covers AI services like Amazon Polly, Translate, Comprehend, Rekognition, Kendra, Personalize, and SageMaker. Additionally, it introduces Managed Blockchain and remote workspace solutions with WorkSpaces and WorkSpaces Web.

This course facilitates learners with approximately 3:00-3:30 Hours of Video lectures that provide both Theory and Hands-On knowledge. Also, Graded and Ungraded Quizzes are provided with every module to test learners' ability. - Module 1: IoT and Blockchain in AWS - Module 2: Machine Learning in AWS This course is designed for professionals seeking to master specialized AWS services beyond core infrastructure. It is ideal for developers, data scientists, architects, and engineers focused on leveraging Artificial Intelligence, Machine Learning, Internet of Things, Blockchain, and End User Computing solutions. - Senior Solutions Architects - Enterprise Architects - Cloud Infrastructure Architects - Senior DevOps Engineers By the end of the course, learners will be able to: - Understand IoT services like AWS IoT Core, IoT Events, and IoT Greengrass. - Extract data from documents and recognize images using Amazon Textract and Rekognition. - Discover use cases for Amazon Managed Blockchain and compare virtual desktop solutions with Amazon WorkSpaces vs WorkSpaces Web.

Détails du module

Welcome to Week 1 of the AWS: IoT, Machine Learning, and Blockchain course. This week, we'll explore the world of connected devices with AWS IoT Core, including hands-on demos for practical understanding. We'll dive into AWS IoT Events for event-driven automation and AWS IoT Greengrass for local edge computing. Expanding into decentralized technology, we'll introduce Amazon Managed Blockchain to understand secure, scalable blockchain networks. To complete the week, we'll compare Amazon WorkSpaces and WorkSpaces Web, helping you grasp solutions for secure, remote desktop access. By the end of the week, you'll have foundational skills in IoT, blockchain, and virtual workspace solutions, setting the stage for advanced cloud applications.

Inclus

6 vidéos2 lectures2 devoirs1 sujet de discussion

6 vidéosTotal 59 minutes

AWS IoT Core11 minutes
AWS IoT Core - Demo15 minutes
AWS IoT Events11 minutes
AWS IoT Greengrass10 minutes
Amazon Managed Blockchain6 minutes
Amazon WorkSpaces vs Amazon WorkSpaces Web6 minutes

2 lecturesTotal 30 minutes

Welcome to the Course20 minutes
Overview of IoT and Blockchain in AWS10 minutes

2 devoirsTotal 40 minutes

IoT and Blockchain Services - Knowledge Check20 minutes
IoT and Blockchain in AWS - Assessment20 minutes

1 sujet de discussionTotal 10 minutes

Meet and Greet10 minutes

Welcome to Week 2. This week, we'll explore powerful AI and ML services from AWS. You'll learn how Amazon Polly converts text into lifelike speech, and how Amazon Translate breaks language barriers with real-time translation. We'll uncover text insights using Amazon Comprehend and dive into image and video analysis with Amazon Rekognition. You'll also get introduced to smart search solutions with Amazon Kendra and personalized recommendations with Amazon Personalize. Through Amazon SageMaker and a hands-on demo, we'll explore building and deploying ML models. Additionally, we'll cover Amazon Transcribe for speech-to-text, Amazon Lex for chatbots, and Amazon Textract for document processing.

Inclus

11 vidéos2 lectures2 devoirs

11 vidéosTotal 79 minutes

Amazon Polly5 minutes
Amazon Translate7 minutes
Amazon Comprehend11 minutes
Amazon Rekognition12 minutes
Amazon Kendra5 minutes
Amazon Personalize4 minutes
Amazon Sagemaker4 minutes
Amazon Sagemaker - Demo11 minutes
Amazon Transcribe3 minutes
Amazon Lex9 minutes
Amazon Textract9 minutes

2 lecturesTotal 20 minutes

Overview of Machine Learning in AWS10 minutes
Course Conclusion10 minutes

2 devoirsTotal 40 minutes

Machine Learning services in AWS - Knowledge Check20 minutes
Machine Learning in AWS - Assessment20 minutes

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