This course is offered through Coursera, which is an ACE Authorized Instructional Platform.
The course objective is to prepare students for the dynamic field of artificial intelligence and machine learning. Through five courses, students gain a deep understanding of AI and ML fundamentals, practical skills, and hands-on experience.
Starting with the design of scalable AI and ML infrastructure, students learn to build robust environments. They then explore core algorithms and techniques. The program also delves into AI agent development, teaching how to create intelligent systems capable of autonomous troubleshooting using natural language processing (NLP) and decision-making strategies.
A key focus is on leveraging cloud-based AI and ML services, specifically through Microsoft Azure, where students manage end-to-end workflows. The program concludes with advanced concepts, ethical considerations, and a capstone project.
Upon completion, students will have the expertise to design, deploy, and optimize AI and ML solutions, becoming an asset in the tech industry. This program is ideal for those seeking to master AI and ML techniques, build scalable solutions, and apply knowledge to real-world problems.
To be successful, students should have intermediate programming knowledge of Python, plus basic knowledge of AI and ML capabilities, and newer capabilities through generative AI (GenAI) and pretrained large language models (LLM). Familiarity with statistics is also recommended.