Upcoming courses

Unlock the world of artificial intelligence with our comprehensive introductory course. Designed for both beginners and those with some prior knowledge, this course covers essential AI concepts, techniques, and applications. You'll explore the differences between natural and artificial intelligence, and learn how AI intersects with data science and machine learning. Dive into the importance of data, discover key machine learning methods, and understand deep learning and neural networks. The course also highlights exciting AI branches such as robotics, computer vision, and generative AI. Tackle real-world issues in generative AI, and get hands-on with tools like Python and Hugging Face. Learn about AI career paths and the vital role of ethics in AI, and gain insights into the future of this dynamic field.

In this course, you'll explore the latest database technology: the vector database. Learn about embeddings, their vectorization role, and various embedding algorithms. You'll also use Pinecone—a user-friendly managed vector database. We'll utilize Python to build custom vector databases and develop a similarity search algorithm using our 365 data. You’ll explore different ways to vectorize your own data, utilizing different aggregation levels. Additionally, I'll demonstrate how to upsert parts of the Hugging Face fineweb dataset.

Speech recognition is the process of transforming spoken language into text. In our fast-evolving digital age, speech-based interactions with technology are increasingly common. From virtual assistants to transcription services, speech recognition is transforming how we interact with our devices. The technology is deeply embedded in businesses, enhancing customer engagement with automated, efficient service, managing high inquiry volumes without extra staff, collecting and analyzing customer interaction data, providing insights for strategic decisions, and assessing employee sentiments to improve management tactics. This course covers the essentials of speech recognition—exploring its mechanics, applications, and practical implementation. You’ll learn to transcribe audio to text using Python and understand foundational audio processing techniques. Intro to Speech Recognition with Python also clarifies key aspects like Hidden Markov Models, background noise reduction, and both acoustic and language modeling. By the end, you'll have enhanced your data analysis capabilities and acquired a range of cutting-edge and valuable skills.