![]() ![]() The course provides you with skills in cloud programming (Azure, AWS, and Google), Python development (TensorFlow and Keras), MLOps, and Edge (loT). ![]() Past students have used this aspect of the course to move their careers into Al. This course takes a full-stack/ MLOps approach, which allows you to approach new ideas from within your existing knowledge framework. In large enterprises, Al is deployed within the framework of existing systems, here there are three job categories related to AI: the data engineer, the data scientist, and the DevOps engineer. While Al is a new topic, it does not exist in isolation. In this context, we use the term Al to mean deploying machine learning and deep learning in a production environment - considering both advanced algorithms and MLOps. The philosophy of the course is based on helping you transition your career to AI. Helping you transition your career towards Artificial Intelligence ![]() This is an industry course, rather than an academic one, focusing on skills-based and commercial products. In this course, we refer to AI as: encompassing machine learning, deep learning (DL), and the evolution of algorithms such as transformers and large language models. Python (TensorFlow) is the course's primary language, and while we do not expect you to have full proficiency in it, we expect you to have a programming background. To make the most of the course we expect you to have a mindset of exploration and study, and learn beyond the class material itself (depending on your familiarity with the subject). This course is designed to create a new breed of engineer using a solid grounding in AI, edge computing, Internet of Things (IoT), MLOps, and Cloud technologies to develop production systems within a full-stack environment. Previous students have gone on to start or progress their AI careers. Designed for industry practitioners with some background in coding, the course is ideal if you have development, design, or software architecture experience and want to transition your career toward Al. Artificial Intelligence: Cloud and Edge Implementations is a pioneering online course covering artificial intelligence (AI), machine learning and DevOps (MLOps), cloud computing, and edge computing. ![]()
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