Artificial Intelligence

The purpose of this training is to enable software development teams to use Cursor not merely as a code completion tool, but as an AI development assistant capable of understanding and working at the project level. By the end of the training, participants will be able to effectively use Agent Mode, safely perform refactoring across...

The purpose of this training is to enable participants to effectively leverage generative AI tools within modern software development processes while ensuring efficiency, governance, and alignment with enterprise standards. The training provides a practical framework for integrating AI into the software development lifecycle and helps teams adopt modern AI-assisted development practices in a structured and...

Deep learning is a branch of machine learning that aims to understand patterns in large data sets using complex and multi-layered model structures such as artificial neural networks, and its algorithms are often based on a model called a neural network. This neural network is used to learn complex relationships in the data set. Such models require...

The answer to the question "Can a machine create unique content indistinguishable from human-made works?" lies in generative artificial intelligence. Generative AI stands out as an Artificial Intelligence technology that allows for the quick, easy, and efficient design of content (such as text, images, etc.). Through this training, participants will gain knowledge about the role...

With the promises of Big Data and AI, human intelligence and expertise have remained essential to creating value from data. Early big data initiatives in financial services often failed because they didn't define their critical success factors in the context of their existing business. Which of your current successes would be further enhanced with data?...

AI and machine learning have returned to the spotlight. This time, they’ve caught the attention of the C-Suite and stakeholders as the leading value-drivers within data science. With this level of visibility, today’s machine learning needs to do more than uncover interesting insights.  Most organizations focus almost exclusively on algorithms, software, coding, and platforms. Although...

Generate effective AI strategy in this practical one day workshop for executives. Artificial Intelligence (AI) is showing tremendous potential for transforming the world of enterprise, and its industrial applications are taking off. In a recent survey by Forbes, 80% of C-level executives indicated that the future of the businesses ‘will be informed through opportunities made...

Want to make sense of the volumes of data you have collected?   Need to incorporate data-driven decisions into your process? This course provides an overview of machine learning techniques to explore, analyze, and leverage data. You will be introduced to tools and algorithms you can use to create machine learning models that learn from...

Machine Learning is a well understood process. We typically start with some existing data and pass it through an algorithm. The algorithm ‘learns’ from that specific data and produces a ‘data model’. This model has learnt from the data and now encapsulates information derived from the raw data. We then have to test the model...

In this course, modern data science and machine learning concepts and models are provided along with the fundamentals of programming and statistics. The aim of the course is to allow the students to gain practicality with practices and examples. There is no prerequisite for the course.   Delegates will learn:   Python ve Veri Bilimi Kütüphaneleri...

This course provides fundamentals of deep learning concepts and models are provided by means of the Keras and TensorFlow and it details how deep learning models work and which tools can be used for deep learning development. Throughout the course, students will learn the applications of deep learning models in the areas of supervised learning,...

Deep learning is a sub-branch of artificial intelligence known for its ability to learn from large data sets, which creates complex data representations using a type of algorithm called artificial neural networks. Deep learning algorithms can automatically learn patterns within the data and make predictions using these features. Deep learning has a wide range of applications...