Do you have an idea for a startup or have you been assigned to a new project? This course will teach you how to start a project quickly and efficiently and avoid that chaotic back-and-forth nature. You will learn how to get everyone involved in the new project to agree on the vision, objective, and course the project should take so that your chances of success are maximized.

The way we structure our project teams, and think about the work we do together, can’t remain stuck in the past if we want to create the future. In this course, you'll learn how Agile principles can help you revolutionize your project initiatives.

Build and deploy web applications using Ruby on Rails 6, with a focus on agile development practices.

Discover agile web development practices using Rails 6, focusing on rapid prototyping and iterative development cycles.

This session is dedicated to entreprenurs, CxO's (CIO, CTO, Chief Data Officer, Chief Digital Officer, CEO, L&D) where we explain the importance of AI and data strategy for enabling their top line business initiatives for driving growth.

Dive into the intersection of AI, ML, and biomedical sciences in this workshop for iBest 2024. Explore cutting-edge technologies transforming healthcare, research, and drug discovery.

In this course we will go over the principles that make AI ethical, and how those principles vary in the United States of America and the European Union.

Dive into the world of AI in biomedical applications. Learn how machine learning and AI are transforming healthcare, from diagnosis to drug development and personalized medicine.

Learn how to build a customer care bot on IBM cloud without purchasing anything.

Get a clear understanding of AI concepts in this comprehensive course. Explore machine learning, deep learning, and other AI fundamentals essential for modern technology.

The interplay between AI, cloud, and edge is a rapidly evolving domain. Currently, many IoT solutions are based on basic telemetry. The telemetry function captures data from edge devices and stores it in a data store. Our approach extends beyond basic telemetry. We aim to model problems in the real world through machine learning and deep learning algorithms and implement the model through AI and Cloud on to edge devices. The model is trained in the cloud and deployed on the edge device. The deployment to the edge provides a feedback loop to improve the business process (digital transformation).

Explore the critical field of AI ethics. Understand the challenges and responsibilities in AI development, including bias, fairness, and transparency in AI systems.