Computer Science | AI for Tomorrow’s World

Everyday, everytime, each news article on AI is pointing towards the same deliberate question: How will AI change the future world? According to an article from Tech Target, industries such as education, healthcare, law, finance and transportation will have the biggest impact of AI and its technological advancement. On the other hand, a featured insight by McKinsey quotes “ AI is here to stay. To outcompete in the future, organizations and individuals alike need to get familiar fast”. When it comes to the Intelligence Age, we are in the midst of a revolution. What does this mean for you, who will enter the workforce – tech or non-tech, probably 5 or 7 or 10 years later? – “Its coming and gear up now!” AI for Tomorrow’s World is an immersive live course that will provide a comprehensive grounding in artificial intelligence and machine learning, starting from scratch. This is meant to build sufficiently strong foundations for you to seriously make a foray into the field. The course will introduce concepts, applications, and challenges of Machine Learning and Artificial Intelligence and is designed to guide you from the theoretical underpinnings of ML algorithms to hands-on implementation and real-world challenges. Throughout the course, you will explore key topics such as model explainability, data privacy, security concerns, and the limitations of AI systems. You will learn both basic theory and implementation, along with ethical considerations and security problems. You will delve into the concept of “black-box” models, where the internal workings of AI models are opaque and difficult to interpret. Finally, you will examine the concept of “breaking” large language models (LLMs) by testing their responses to adversarial inputs and outliers. As the recent Nobel prizes in Physics and Chemistry have demonstrated, AI/ML has become ubiquitous across disciplines. The very nature of knowledge has changed. To be a responsible and informed citizen in this new world, one must have a solid grasp of what AI really means, and the pitfalls involved. This course is your springboard for the same. By the end of the course, you will be equipped with both the knowledge and practical skills to work with modern AI techniques and critically assess their implications in real-world contexts.