Aug 30, 2020
23 Best Coursera Courses and Certifications to learn Python, Data Analytics, and Cloud Computing by Google, IBM, and AWS in 2023
These are the best Coursera courses you can join to learn in-demand skills from the world's top tech companies like AWS, Google, IBM, SAS, etc.
Hello friends, do you 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 instructors. If this seems exciting to you then hang in and let’s deep dive into the 20 best Coursera Coursera from top tech companies.
23 Best Coursera Courses, Professional Certificates and Specializations to Learn in 2023
Here is a list of the 23 best Coursera courses, professional certificates, and specializations to learn Data Analytics, Python, Cloud Computing, IT Support, Project Management, UI/UX Design, Machine Learning, Deep Learning, Neural networks, AWS, Computer Vision and much more.
The best part of these are that they are taught by experienced and expert trainers from top tech companies like Google, IBM, Meta, , AWS, Alibaba and more:
- Google Data Analytics Professional Certificate (675,846 already enrolled)
- Deep Learning from deeplearning.ai
- Google UX Design Professional Certificate (370,353 already enrolled)
- Google IT Support from Google
- IBM Data Science from IBM
- Google IT Automation with Python from Google
- AWS Fundamentals from Amazon Web Services
- Google Project Management: Professional Certificate (464,064 already enrolled)
- AI For Everyone from deeplearning.ai
- Cloud Architecture with Google Cloud from Google Cloud
- Getting Started with AWS Machine Learning from Amazon Web Services
- IBM AI Foundations for Business from IBM
- AWS Computer Vision: Getting Started with GluonCV from Amazon Web Services
- Alibaba Cloud Computing Specialization from Alibaba Cloud Academy
- Security in Google Cloud Platform from Google Cloud
- Cloud Engineering with Google Cloud from Google Cloud
- Natural Language Processing from deeplearning.ai
- AI For Medicine from deeplearning.ai
- SAS Programmer Professional Certificate from SAS
- Statistics with SAS from SAS
- SAS Visual Business Analytics from SAS
- Facebook (Meta) Social Media Marketing from Meta
- SRE and DevOps Engineer with Google Cloud from Google Cloud
Now, let’s Deep dive into tach courses and find out why they are the best Coursera courses and why should join them.
1. Google IT Support
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 opportunities 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
2. Google IT Automation with Python
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.
3. IBM Data Science from IBM
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.
4. Deep Learning Specialization 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. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more.
5. AWS Fundamentals 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 the 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.
6. Getting Started with AWS Machine Learning from Amazon Web Services
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.
7. AWS Computer Vision: Getting Started with GluonCV from Amazon Web Services
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.
8. Alibaba Cloud Computing Specialization from Alibaba Cloud Academy
This specialization is intended for both students and businesses who aim to learn more about how Cloud technology can help them grow. With Cloud Computing, Big Data, and Cloud Security courses, users will be exposed to a series of products that combine to make architectures fit for any task.
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.
9. 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 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.
10. 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.
You can expect to gain practical hands-on experience with many of the concepts explained throughout the modules.
11. Cloud Engineering with Google Cloud from Google Cloud
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.
12. 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.
13. Natural Language Processing from deeplearning.ai
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.
14. 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.
Though this course is largely non-technical, engineers can also take this course to learn the business aspects of AI.
15. 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.
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.
16. SAS Programmer Professional Certificate 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. 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.
17. 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.
18. 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.
19. Facebook Social Media Marketing by Meta
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
20. SRE and DevOps Engineer with Google Cloud from Google Cloud
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 22 Coursera courses and certification from top Tech companies like Google which you can join in 2023. 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 specializations then consider taking a 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 its complete worth of your money as you get unlimited certificates.
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Thanks for reading this article. If you like these best Coursera Courses and certifications from Google, AWS, and Facebook for Software developers then please share them 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 2023 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.
