Wenn Sie sich für diesen Kurs anmelden, werden Sie auch für diese Spezialisierung angemeldet.
Lernen Sie neue Konzepte von Branchenexperten
Gewinnen Sie ein Grundverständnis bestimmter Themen oder Tools
Erwerben Sie berufsrelevante Kompetenzen durch praktische Projekte
Erwerben Sie ein Berufszertifikat zur Vorlage
In diesem Kurs gibt es 2 Module
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.
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.
Das ist alles enthalten
6 Videos2 Lektüren2 Aufgaben1 Diskussionsthema
Infos zu Modulinhalt anzeigen
6 Videos•Insgesamt 59 Minuten
AWS IoT Core•11 Minuten
AWS IoT Core - Demo•15 Minuten
AWS IoT Events•11 Minuten
AWS IoT Greengrass•10 Minuten
Amazon Managed Blockchain•6 Minuten
Amazon WorkSpaces vs Amazon WorkSpaces Web•6 Minuten
2 Lektüren•Insgesamt 30 Minuten
Welcome to the Course•20 Minuten
Overview of IoT and Blockchain in AWS•10 Minuten
2 Aufgaben•Insgesamt 40 Minuten
IoT and Blockchain in AWS - Assessment•20 Minuten
IoT and Blockchain Services - Knowledge Check•20 Minuten
1 Diskussionsthema•Insgesamt 10 Minuten
Meet and Greet•10 Minuten
Machine Learning in AWS
Modul 2•2 Stunden abzuschließen
Moduldetails
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.
Das ist alles enthalten
11 Videos2 Lektüren2 Aufgaben
Infos zu Modulinhalt anzeigen
11 Videos•Insgesamt 79 Minuten
Amazon Polly•5 Minuten
Amazon Translate•7 Minuten
Amazon Comprehend•11 Minuten
Amazon Rekognition•12 Minuten
Amazon Kendra•5 Minuten
Amazon Personalize•4 Minuten
Amazon Sagemaker•4 Minuten
Amazon Sagemaker - Demo•11 Minuten
Amazon Transcribe•3 Minuten
Amazon Lex•9 Minuten
Amazon Textract•9 Minuten
2 Lektüren•Insgesamt 20 Minuten
Overview of Machine Learning in AWS•10 Minuten
Course Conclusion•10 Minuten
2 Aufgaben•Insgesamt 40 Minuten
Machine Learning in AWS - Assessment•20 Minuten
Machine Learning services in AWS - Knowledge Check•20 Minuten
Erwerben Sie ein Karrierezertifikat.
Fügen Sie dieses Zeugnis Ihrem LinkedIn-Profil, Lebenslauf oder CV hinzu. Teilen Sie sie in Social Media und in Ihrer Leistungsbeurteilung.
Providing certification training since the year 2000, Whizlabs is the pioneer among online training providers across the globe. We are dedicated to helping you learn the skills you need to transform your career in the IT industry.
We provide certification training in the form of Video Courses, Practice Tests, Hands-on Labs and Sandbox in various disciplines such as Cloud Computing, DevOps, Cyber Security, Java, Big Data, Snowflake, CompTIA, Agile, Linux, CCNA, Blockchain, and much more.
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.