Top Technology Courses on Coursera

Top Technology Courses on Coursera

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We’ve recently seen significant growth with our courses from top technology companies such as Google, IBM, and AWS. These courses are typically designed for beginner-level learners and are quickly gaining popularity. Covering topics from data science to cloud engineering, here are the top technology courses for you to explore. icon

Google IT Support Professional Certificate

This 5-course certificate, developed by Google, includes 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.

Google IT Automation with Python Professional Certificate

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.

IBM AI Foundations for Business Specialization

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.

IBM Data Science Professional Certificate

Data science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater. This Professional Certificate from IBM will help anyone interested in pursuing a career in data science or machine learning develop career-relevant skills and experience.

AWS Fundamentals Specialization

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.

Getting Started with AWS Machine Learning

Machine learning (ML) is one of the fastest growing areas in technology and a highly sought after skillset in today’s job market. The World Economic Forum states the growth of artificial intelligence (AI) could create 58 million net new jobs in the next few years, yet it’s estimated that currently there are 300,000 AI engineers worldwide, but millions are needed. This means there is a unique and immediate opportunity for you to get started with learning the essential ML concepts that are used to build AI applications – no matter what your skill levels are. Learning the foundations of ML now, will help you keep pace with this growth, expand your skills and even help advance your career.

AWS Computer Vision: Getting Started with GluonCV

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.

From 0 to N: Architecting on Alibaba Cloud Specialization

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.

Cloud Architecture with Google Cloud Professional Certificate

The Google Cloud Professional Cloud Architect certification was ranked one of the top paying IT certifications of 2019 by Global Knowledge.

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.

You’ll have the opportunity 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.

Security in Google Cloud Platform Specialization

Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure Google Cloud solution, including Cloud Identity, the GCP Resource Manager, Cloud IAM, Google Virtual Private Cloud firewalls, Google Cloud Load balancing, Cloud CDN, Cloud Storage access control technologies, Security Command Center, Stackdriver, Security Keys, Customer-Supplied Encryption Keys, the Google Data Loss Prevention API, and Cloud Armor. Participants learn mitigations for attacks at many points in a Google Cloud-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use.

Cloud Engineering with Google Cloud Professional Certificate

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.

Upon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.

Deep Learning Specialization

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. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.

Natural Language Processing Specialization

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. These and other NLP applications are going to be at the forefront of the coming transformation to an AI-powered future.

AI For Everyone

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.

In this course, you will learn: 

– The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science 

– What AI realistically can–and cannot–do 

– How to spot opportunities to apply AI to problems in your own organization 

– What it feels like to build machine learning and data science projects 

– How to work with an AI team and build an AI strategy in your company 

– How to navigate ethical and societal discussions surrounding AI

AI for Medicine Specialization

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, we recommend taking the Deep Learning Specialization.

SAS Programmer Professional Certificate

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.

Statistics with 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.

SAS Visual Business Analytics Professional Certificate

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.

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