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Hello friends, I have been sharing online courses from Coursera, Udemy, Pluralsight, Educative, and today, I am going to share 20 Best Coursera courses top tech companies.
Many of you may now know that apart from having Courses from the world's reputed universities, Coursera also has online courses from the world's largest tech companies.
You can join training courses that are taught by Google, IBM, AWS, and other large tech companies and learn from the world's best instructor.
If this seems exciting to you then hang-in and let's deep dive into the 20 best Coursera Coursera from top tech companies like Google, Facebook, IBM, SAS, DeepLearning.ai, Alibaba.
Here is a list of 20 popular Coursera courses which is taught by top tech companies:
Google IT Support from Google
Google IT Automation with Python from Google
IBM AI Foundations for Business from IBM
IBM Data Science from IBM
AWS Fundamentals from Amazon Web Services
6. Getting Started with AWS Machine Learning from Amazon Web Services
AWS Computer Vision: Getting Started with GluonCV from Amazon Web Services
Alibaba Cloud Computing Specialization from Alibaba Cloud Academy
Cloud Architecture with Google Cloud from Google Cloud
Security in Google Cloud Platform from Google Cloud
Cloud Engineering with Google Cloud from Google Cloud
Deep Learning from deeplearning.ai
Natural Language Processing from deeplearning.ai
AI For Everyone from deeplearning.ai
AI For Medicine from deeplearning.ai
Statistics with SAS from SAS
Now, let's Deep dive into tach course and find out why they are the best Coursera courses and why should join them.
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.
Upon completion of the certificate, you can share your information with top employers like Cognizant, GE Digital, Hulu, Infosys, Intel, KForce, MCPc, PNC Bank, RICOH USA, Sprint, TEKSystems, Veterans United Home Loans, Walmart and their subsidiaries, and of course, Google.
You can also earn a CompTIA and Google dual credential when you complete the Google certificate and pass the CompTIA A+ certification exams
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.
This course builds on your IT foundations to help you take your career to the next level. It's designed to teach you how to program with Python and how to use Python to automate common system administration tasks.
You'll also learn to use Git and GitHub, troubleshoot and debug complex problems, and apply automation at scale by using configuration management and the Cloud.
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.
This 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.
Upon successfully completing these courses, you will have built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in data science.
In addition to earning a Professional Certificate from Coursera, you'll also receive a digital Badge from IBM recognizing your proficiency in data science.
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.
Additionally, you will have opportunities to practice what you have learned by completing labs and exercises developed by AWS technical instructors.
This course is from AWS itself and it 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.
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.
This specialization is intended for both students and businesses who aim to learn more about how Cloud technology can help them grow.
This specialization will train the user on two levels: first, the basic specifications and functions of our principle product line, and secondly, evaluates a user's ability to use several different products together to create best practice solutions on Alibaba Cloud.
This program provides the skills you need to advance your career as a professional cloud architect and supports your preparation for the industry-recognized Google Cloud Professional Cloud Architect certification.
You'll learn how to deploy solution elements, including infrastructure components such as networks, systems, and applications services, and you'll gain real-world experience through a number of hands-on Qwiklabs projects.
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.
You can expect to gain practical hands-on experience with many of the concepts explained throughout the modules.
This professional certificate 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 Platform products, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules.
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. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more.
Natural Language Processing (NLP) uses algorithms to understand and manipulate human language. This technology is one of the most broadly applied areas of machine learning.
As AI continues to expand, so will the demand for professionals skilled at building models that analyze speech and language, uncover contextual patterns, and produce insights from text and audio.
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.
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.
Though this course is largely non-technical, engineers can also take this course to learn the business aspects of 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.
These courses go beyond the foundations of deep learning to teach you the nuances in applying AI to medical use cases. If you are new to deep learning or want to get a deeper foundation of how neural networks work.
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.
These skills prepare you for the SAS® Base Programming Specialist certification exam.
In the last course of this professional certificate program, you complete projects that demonstrate your knowledge of SAS programming.
In the first project, you write programs for each stage of the SAS programming process to analyze passenger claims at United States airports. In the second project, you use your knowledge of the data preparation stage to write programs that restructure world tourism data.
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.
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.
This is relatively new and probably the first professional certification/specialization by Facebook on the Coursera platform. Whether you've been tinkering with social media platforms for your business already or are completely new to the field of digital marketing, you've come to the right place.
This five-course program, developed by digital marketing experts at Aptly together with Facebook marketers, includes an industry-relevant curriculum designed to prepare you for an entry-level role in social media marketing.
After an introduction to digital marketing and the main social media platforms, you'll learn to establish an online presence, create posts, build a following, and manage your social media accounts.
You'll develop skills in creating and managing advertising campaigns in social media and learn to evaluate the results of your marketing efforts.
*Here is the link to join this course *--- Facebook Social Media Marketing from Facebook
This is another great course on Google Cloud Platform by none other than Google itself. SRE or Site Reliability Engineer is becoming more and more popular along with DevOps and it's important to understand SRE principles not only for the GCP DevOps Engineer certification but also for future DevOps or SRE interviews.
This program provides the skills you need to advance your career as a data engineer and provides training to support your preparation for the industry-recognized Google Cloud Professional DevOps Engineer certification. 87% of Google Cloud certified users feel more confident in their cloud skills.
You'll also have the opportunity to practice key job skills using Google Cloud to build software delivery pipelines, deploy and monitor services, and manage and learn from incidents.
You will learn to apply SRE principles to a service, techniques for monitoring, troubleshooting, and improving infrastructure and application performance among other things.
Here is the link to join this course --- SRE and DevOps Engineer with Google Cloud from Google Cloud
That's all about the 18 Coursera courses and certification from top Tech companies like Google which you can join in 2020. These are also the best courses to take if you want to have a professional career in the IT industry whether you want to be a cloud engineer python developer or just learning for fun and acquiring new knowledge and skills.
By the way, If you are planning to join multiple Coursera courses or specialization then consider taking Coursera Plus subscription which provides you unlimited access to their most popular courses, specialization, professional certificate, and guided projects. It cost around $399/year but it's completely worth your money as you get unlimited certificates.
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Thanks for reading this article. If you like these best Coursera Courses for Software developers then please share it with your friends and colleagues. If you have any questions or feedback then please drop a note.
P.S. - If you are looking for the best Udemy courses in 2020 then you can also check out my list of best Udemy courses for Programmers and Software developers. It contains the best Udemy courses to learn Java, Python, Git, and other essential skills required for Software development.