The COVID-19 Pandemic has caused major confusion in our lives. Students who were planning to study abroad are uncertain about their travel and those who were planning to study in India were not sure about when the entrance exams and admission process dates. It’s so sad that many students’ training/internship offers and campus placement offers have been canceled. Many working professionals who were either laid off or planning to go into new organizations were not sure how to reach out to recruiters.
But remember one thing, Nothing lasts forever. Not even CORONA! Life changes very quickly in a positive way If you let it.
Whether you are a student or a college graduate or a working professional, now is the time to learn a new skill and be ready to take on the world when this pandemic ends!
Top tech companies like Google, IBM, AWS, and Deeplearning.ai have designed online courses for beginners. These courses are offered via Coursera and will teach you some of the most in-demand skills and give you a professional certificate from these tech giants!
Top 18 Online Courses from Top Tech Companies
Google IT Support from Google
This 5-course certificate, developed by Google, includes an innovative curriculum designed to prepare you for an entry-level role in IT support. A job in IT can mean in-person or remote help desk work in a small business or at a global company like Google. The program is part of Grow with Google, a Google initiative to help create economic opportunity for all.
318,104 already enrolled
Google IT Automation with Python from Google
This new beginner-level, six-course certificate, developed by Google, is designed to provide IT professionals with in-demand skills — including Python, Git, and IT automation — that can help you advance your career. Knowing how to write code to solve problems and automate solutions is a crucial skill for anybody in IT.
107,029 already enrolled and 4.7 Stars (13,964 ratings)
IBM AI Foundations for Business from IBM
This specialization will explain and describe the overall focus areas for business leaders considering AI-based solutions for business challenges. The first course provides a business-oriented summary of technologies and basic concepts in AI. The second will introduce the technologies and concepts in data science. The third introduces the AI Ladder, which is a framework for understanding the work and processes that are necessary for the successful deployment of AI-based solutions.
1,621 already enrolled and 4.7 Stars (42,625 ratings)
IBM Data Science Professional Certificate
The program consists of 9 online courses that will provide you with the latest job-ready tools and skills, including open source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms. You’ll learn data science through hands-on practice in the IBM Cloud using real data science tools and real-world data sets.
197,382 already enrolled and 4.6 Stars (134,189 ratings)
AWS Fundamentals Specialization from Amazon Web Services
This specialization gives current or aspiring IT professionals an overview of the features, benefits, and capabilities of Amazon Web Services (AWS). As you proceed through these four interconnected courses, you will gain a more vivid understanding of core AWS services, key AWS security concepts, strategies for migrating from on-premises to AWS, and basics of building serverless applications with AWS.
49,157 already enrolled and 4.6 Stars (12,186 ratings)
Getting Started with AWS Machine Learning from Amazon Web Services
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 a variety of ML concepts, AWS services as well as insights from experts to put the concepts into practice.
105,847 already enrolled and 4.5 Stars (1076 ratings)
AWS Computer Vision: Getting Started with GluonCV from Amazon Web Services
This course covers AWS services and frameworks including Amazon Rekognition, Amazon SageMaker, Amazon SageMaker GroundTruth, and Amazon SageMaker Neo, AWS Deep Learning AMIs via Amazon EC2, AWS Deep Learning Containers, and Apache MXNet on AWS.
28,208 already enrolled and 4.6 Stars (285 ratings)
From 0 to N: Architecting on Alibaba Cloud from Alibaba Cloud Academy
This specialization will train the user on two levels: first, the basic specifications and functions of our principal product line, and secondly, evaluates a user’s ability to use several different products together to create best practice solutions on Alibaba Cloud.
4.8 Stars (85 ratings)
Cloud Architecture with Google Cloud from Google Cloud
This program provides the skills you need to advance your career as a professional cloud architect and recommends training to support your preparation for the industry-recognized Google Cloud Professional Cloud Architect certification.
34,364 already enrolled
Security in Google Cloud Platform from Google Cloud
This specialization incorporates hands-on labs using our Qwiklabs platform. These hands on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as Google Cloud products, which are used and configured within Qwiklabs.
6,679 already enrolled
Cloud Engineering with Google Cloud from Google Cloud
This program provides the skills you need to advance your career as a cloud engineer and recommends training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer. You’ll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud.
33,153 already enrolled
Deep Learning from deeplearning.ai
If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning. In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects.
450,054 already enrolled and 4.8 Stars (244,157 ratings)
Natural Language Processing from deeplearning.ai
By the end of this Specialization, you will be ready to design NLP applications that perform question-answering and sentiment analysis, create tools to translate languages and summarize text, and even build chatbots. These and other NLP applications are going to be at the forefront of the coming transformation to an AI-powered future.
22,427 already enrolled and 4.6 Stars (1,143 ratings)
AI For Everyone from deeplearning.ai
AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone–especially your non-technical colleagues–to take.
472,489 already enrolled and 4.8 Stars (24,139 ratings)
AI For Medicine from deeplearning.ai
AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. This three-course Specialization will give you practical experience in applying machine learning to concrete problems in medicine.
14,785 already enrolled and 4.7 Stars (1,556 ratings)
SAS Programmer from SAS
When you complete the SAS® Base Programming courses, you will have demonstrated skills in manipulating and transforming data, combining SAS data sets, creating basic detail and summary reports using SAS procedures and identifying and correcting data, syntax and programming logic errors.
15,519 already enrolled and 4.8 Stars (1,810 ratings)
Statistics with SAS from SAS
This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.
9,533 already enrolled and 4.8 Stars (113 ratings)
SAS Visual Business Analytics from SAS
Using SAS Visual Analytics, you will learn to access and manipulate data, analyze data with a variety of interactive reports and graphics, and design and share dashboards to visualize your data. SAS Visual Analytics is a useful skill in a variety of careers, including business analyst, researcher, statistician, or data scientist.
5,339 already enrolled and 4.7 Stars (700 ratings)
Thanks for the reading 🙂 See you in my next blog!