IdentityThe AppliedAICourse attempts to teach students/course-participants some of the core ideas in machine learning, data-science and AI that would help the participants go from a real world business problem to a first cut, working and deployable AI solution to the problem. Our primary focus is to help participants build real world AI solutions using the skills they learn in this course.
No prerequisites.
Given our background in the industry, we believe that students completing this course and building a strong portfolio consisting of multiple projects stand a good chance of getting an AI engineer job in the industry. But, we cannot guarantee that. We would surely refer you to various teams, hiring managers and recruiters in the industry who are looking to hire AI engineers.
This course will focus on practical knowledge more than mathematical or theoretical rigor. That doesn't mean that we would water down the content. We will try and balance the theory and practice while giving more preference to the practical and applied aspects of AI as the course name suggests. Through the course, we will work on 20+ case studies of real world AI problems and datasets to help students grasp the practical details of building AI solutions. For each idea/algorithm in AI, we would provide examples to provide the intuition and show how the idea to used in the real world.
