MIT Professional Education is pleased to offer the Professional Certificate Program in Machine Learning and Artificial Intelligence. MIT has played a leading role in the rise of AI and the new category of jobs it is creating across the world economy. Our goal is to ensure businesses and individuals have the education and training necessary to succeed in the AI-powered future. This certificate guides participants through the latest advancements and technical approaches in artificial intelligence technologies such as natural language processing, predictive analytics, deep learning, and algorithmic methods to further your knowledge of this ever-evolving industry. Awarded upon successful completion of four qualifying Short Programs courses in Professional Education, this certificate equips you with the best practices and actionable knowledge needed to put you and your organization at the forefront of the AI revolution.
This Professional Certificate TensorFlow is one of the most in-demand and popular open-source deep learning frameworks available today. The DeepLearning.AI TensorFlow Developer Professional Certificate program teaches you applied machine learning skills with TensorFlow so you can build and train powerful models. In this hands-on, four-course Professional Certificate program, you'll learn the necessary tools to build scalable AI-powered applications with TensorFlow. After finishing this program, you'll be able to apply your new TensorFlow skills to a wide range of problems and projects. This program can help you prepare for the Google TensorFlow Certificate exam and bring you one step closer to achieving the Google TensorFlow Certificate.
The editors at Solutions Review have compiled this list of the best machine learning certifications online to consider acquiring. Machine learning involves studying computer algorithms that improve automatically through experience. It is a sub-field of artificial intelligence where machine learning algorithms build models based on sample (or training) data. Once a predictive model is constructed it can be used to make predictions or decisions without being specifically commanded to do so. Machine learning is now a mainstream technology with a wide variety of uses and applications.
Let's Encrypt has announced that the free secure certificate program is leaving beta in its push to encrypt 100 percent of the web. The certificate authority (CA) announced on Tuesday that the Let's Encrypt program has left the beta stage of testing after four months, having issued over 1.5 million HTTPS certificates to approximately three million websites worldwide. In a blog post, Let's Encrypt said the project is pushing "much closer" to the overall target of providing free security certificates to every webmaster online. Transport Layer Security (TLS) certificates are implemented on websites to add a layer of encryption and additional security to communication between a user and website server. Without this layer, communication and transactions are more vulnerable to surveillance, drive-by attacks and potentially data theft.
With the availability of a comprehensive and flexible ecosystem of tools and community contributors, TensorFlow (TF) has gained significant popularity for machine learning (ML). Numerous students and developers have been eagerly learning this framework, and applying it vigorously to solve challenging ML questions in various domains, such as computer vision and natural language processing. When these TF developers look for jobs, is there any easy way to showcase their expertise on ML, especially the proficiency of using the TF framework to address real-world questions? TensorFlow Developer Certificate comes to the rescue! On Mar 12, Google Brain, the one behind the TF framework, launched its first TensorFlow Developer Certificate program, which allows all TF developers around the world to get a formal recognition of their ML skills.