Over the past few years, the Cloud computing industry has generated a lot of interest and investment. Cloud computing has become an integral part of the IT infrastructure for many companies worldwide. Industry analysts report that the cloud computing industry has grown swiftly over recent years.
From machine learning to cloud computing, Coursera have been curated a set of courses to help you grow your career in an increasingly digital world. Start learning for free!
So Select a course below to start learning. [ Steps to start learning ]
Your discount will be applied at checkout.
Offer is subject to change and valid through 7/31/2020
1. Machine Learning for Business Professionals:
Offered by :
This course is intended to be an introduction to machine learning for non-technical business professionals. There is a lot of hype around machine learning and many people are concerned that in order to use machine learning in business, you need to have a technical background. For reasons that are covered in this course, that's not the case. In actuality, your knowledge of your business is far more important than your ability to build an ML model from scratch.
Enroll Here for Free
2. AWS Computer Vision: Getting Started with GluonCV:
Offered by:
This course provides an overview of Computer Vision (CV), Machine Learning (ML) with Amazon Web Services (AWS), and how to build and train a CV model using the Apache MXNet and GluonCV toolkit. The course discusses artificial neural networks and other deep learning concepts, then walks through how to combine neural network building blocks into complete computer vision models and train them efficiently.
Enroll Here for Free
3. Getting Started with AWS Machine Learning:
Offered by:
This course will teach you how to get started with AWS Machine Learning. Key topics include: Machine Learning on AWS, Computer Vision on AWS, and Natural Language Processing (NLP) on AWS. Each topic consists of several modules deep-diving into variety of ML concepts, AWS services as well as insights from experts to put the concepts into practice.
Enroll here for free
4. Building Conversational Experiences with Dialogflow:
Offered by:
This course provides a deep dive into how to create a chatbot using Dialogflow, augment it with Cloud Natural Language API, and operationalize it using Google Cloud tools.
Enroll Here for free
5. Developing AI Applications on Azure:
Offered by:
This course introduces the machine learning tools available in Microsoft Azure. We'll review standardized approaches to data analytics and you'll receive specific guidance on Microsoft's Team Data Science Approach. As you go through the course, we'll introduce you to Microsoft's pre-trained and managed machine learning offered as REST API's in their suite of cognitive services. We'll implement solutions using the computer vision API and the facial recognition API, and we'll do sentiment analysis by calling the natural language service
Enroll Here for Free
6. Industrial IoT on Google Cloud Platform:
Offered by:
This course covers the entire Industrial IoT network architecture from sensors and devices to analysis. The course discusses sensors and devices but the focus is on the cloud side. You'll learn about the importance of scaling, device communication, and processing streaming data. The course uses simulated devices in the labs to allow you to concentrate on learning the cloud side of IIoT. The course is a little different than most Coursera courses because there is very little video. Most of the learning is done with short readings, quizzes, and labs.
Enroll here for Free
7. Cloud Computing Basics (Cloud 101):
Offered by:
This Course covers the basics of Cloud computing: what it is, what it supports, and how it is delivered. We will delve into storage services, Cloud economics, levels of managed infrastructure, and Azure services. We will also explore different deployment models of Cloud computing, as well as several hosting scenarios. Last but not least, we will compare some of the cloud platforms and discuss the future of cloud computing.
Enroll here for Free
8. Google Cloud Platform Fundamentals for AWS Professionals:
Offered by:
This accelerated 6-hour course with labs introduces AWS professionals to the core capabilities of Google Cloud Platform (GCP) in the four technology pillars: networking, compute, storage, and database. It is designed for AWS Solution Architects and SysOps Administrators familiar with AWS features and setup and want to gain experience configuring GCP products immediately. With presentations, demos, and hands-on labs, participants get details of similarities, differences, and initial how-tos quickly. If you prefer to learn fast by doing, this course is for you.
Enroll Here for Free
9. Introduction to Cloud Identity:
Offered By:
Introduction to Cloud Identity serves as the starting place for any new Cloud Identity, Identity/Access Management/Mobile Device Management admins as they begin their journey of managing and establishing security and access management best practices for their organization. This 15-30 hour accelerated, one-week course will leave you feeling confident to utilize the basic functions of the Admin Console to manage users, control access to services, configure common security settings, and much more.
Enroll Here for Free
If still you have some doubt then feel free to ask your doubts in Comments section.
Happy Learning !
From machine learning to cloud computing, Coursera have been curated a set of courses to help you grow your career in an increasingly digital world. Start learning for free!
So Select a course below to start learning. [ Steps to start learning ]
Your discount will be applied at checkout.
Offer is subject to change and valid through 7/31/2020
1. Machine Learning for Business Professionals:
Offered by :
This course is intended to be an introduction to machine learning for non-technical business professionals. There is a lot of hype around machine learning and many people are concerned that in order to use machine learning in business, you need to have a technical background. For reasons that are covered in this course, that's not the case. In actuality, your knowledge of your business is far more important than your ability to build an ML model from scratch.
Enroll Here for Free
2. AWS Computer Vision: Getting Started with GluonCV:
Offered by:
This course provides an overview of Computer Vision (CV), Machine Learning (ML) with Amazon Web Services (AWS), and how to build and train a CV model using the Apache MXNet and GluonCV toolkit. The course discusses artificial neural networks and other deep learning concepts, then walks through how to combine neural network building blocks into complete computer vision models and train them efficiently.
Enroll Here for Free
3. Getting Started with AWS Machine Learning:
Offered by:
This course will teach you how to get started with AWS Machine Learning. Key topics include: Machine Learning on AWS, Computer Vision on AWS, and Natural Language Processing (NLP) on AWS. Each topic consists of several modules deep-diving into variety of ML concepts, AWS services as well as insights from experts to put the concepts into practice.
Enroll here for free
4. Building Conversational Experiences with Dialogflow:
Offered by:
This course provides a deep dive into how to create a chatbot using Dialogflow, augment it with Cloud Natural Language API, and operationalize it using Google Cloud tools.
Enroll Here for free
5. Developing AI Applications on Azure:
Offered by:
This course introduces the machine learning tools available in Microsoft Azure. We'll review standardized approaches to data analytics and you'll receive specific guidance on Microsoft's Team Data Science Approach. As you go through the course, we'll introduce you to Microsoft's pre-trained and managed machine learning offered as REST API's in their suite of cognitive services. We'll implement solutions using the computer vision API and the facial recognition API, and we'll do sentiment analysis by calling the natural language service
Enroll Here for Free
6. Industrial IoT on Google Cloud Platform:
Offered by:
This course covers the entire Industrial IoT network architecture from sensors and devices to analysis. The course discusses sensors and devices but the focus is on the cloud side. You'll learn about the importance of scaling, device communication, and processing streaming data. The course uses simulated devices in the labs to allow you to concentrate on learning the cloud side of IIoT. The course is a little different than most Coursera courses because there is very little video. Most of the learning is done with short readings, quizzes, and labs.
Enroll here for Free
7. Cloud Computing Basics (Cloud 101):
Offered by:
This Course covers the basics of Cloud computing: what it is, what it supports, and how it is delivered. We will delve into storage services, Cloud economics, levels of managed infrastructure, and Azure services. We will also explore different deployment models of Cloud computing, as well as several hosting scenarios. Last but not least, we will compare some of the cloud platforms and discuss the future of cloud computing.
Enroll here for Free
8. Google Cloud Platform Fundamentals for AWS Professionals:
Offered by:
This accelerated 6-hour course with labs introduces AWS professionals to the core capabilities of Google Cloud Platform (GCP) in the four technology pillars: networking, compute, storage, and database. It is designed for AWS Solution Architects and SysOps Administrators familiar with AWS features and setup and want to gain experience configuring GCP products immediately. With presentations, demos, and hands-on labs, participants get details of similarities, differences, and initial how-tos quickly. If you prefer to learn fast by doing, this course is for you.
Enroll Here for Free
9. Introduction to Cloud Identity:
Offered By:
Enroll Here for Free
If still you have some doubt then feel free to ask your doubts in Comments section.
Happy Learning !
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