Upcoming courses

This course is an exciting opportunity to work on a real-world use case with 365’s own data! We will delve into the dashboard creation process focusing on company growth. This will be a complete and self-sufficient project: from conceptualizing the most important metrics to acquiring the data through SQL, preprocessing it if necessary, to visualizing it with Tableau. The goal is to help you develop your dashboard skills by showing you what the creation process entails and giving you tips for every step. For this reason, we will be using data from the 365 platform.

Data engineers prepare data for operational and analytical uses. Data engineering focuses on the collection, storage, management, transformation and presentation of data to make it useful for analytics, operational uses and data science. Data engineers build pipelines for data collection and storage taking into consideration security, reliability, scalability, fault-tolerance and efficiency. Main things are to be able to collect & ingest, store & manage and process data. Data engineering is important because it lays down the foundations for data analytics and data science capabilities.

This course is designed to equip students with a deep understanding of the transformative potential of artificial intelligence (AI), its key applications, and its pivotal role in today's business landscape. Participants will learn about the historical evolution of AI, its different types, and how it interacts with other adjacent technologies. The course also emphasizes the incorporation of AI in various aspects of a business, such as in products, services, and operations, enabling smarter solutions and augmenting business processes.

In this Build Chat Applications with OpenAI and LangChain course, discover the popular LangChain framework. You'll learn to leverage potent large language models like OpenAI's GPTs, training them on customized data for diverse applications. These include creating chatbots for support services, summarizing complex texts, and extracting key information. We’ll unravel the power of LangChain by presenting and applying each of its modules (model I/O, retrieval, chains, etc.). We’ll also introduce LangChain Expression Language, allowing for a more straightforward and intuitive implementation. Finally, all modules will come together as we solve a real-life use case—creating a 365 chatbot using LangChain’s Python library to help students with questions on specific courses.