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STARTS ON MONDAY, JANUARY 13, 2025!

  Dive into Data Science with our immersive 50-hour workshop designed for beginners. Gain a strong foundation in theory and hands-on practice using real-world datasets on the Google Cloud platform. Engage in lectures, guided AI model labs, quizzes, projects, and discussions across 12 evening sessions over three weeks. Learn from expert instructors, teaching assistants, and coordinators who offer close guidance, including 1-on-1 sessions. Attend in person, remotely, or mix both modes—live-streamed and recorded sessions ensure seamless learning anytime, anywhere.

STARTS SOON — DATE TBD!

  Elevate your fine-tuning expertise with our immersive hands-on course designed for AI practitioners. Begin with the foundational concepts of transfer learning and pre-trained models, then dive into fine-tuning methodologies for transformers and other state-of-the-art architectures. Explore open-source libraries such as Hugging Face, LoRA, and PEFT for scalable and efficient fine-tuning. Master techniques like prompt tuning, adapter tuning, and hyperparameter optimization to tailor models for domain-specific tasks. Learn strategies for low-resource fine-tuning, including few-shot and zero-shot learning, and address overfitting with advanced regularization methods. Discover fine-tuning approaches for diverse modalities, including text, images, and multimodal data, while exploring domain-adaptation strategies for out-of-distribution datasets. Implement advanced training strategies like quantization-aware training, curriculum learning, and differential privacy. By the end of the course, you’ll have the practical knowledge to fine-tune models for real-world applications, ensuring optimal performance and efficiency tailored to your unique datasets.

STARTS SOON ON MONDAY, DECEMBER 9th, 2024!

  This data wrangling with Python course covers essential techniques for cleaning, transforming, and preparing data for analysis. Over four days, you'll learn how to use pandas and NumPy for data manipulation, master data assembly, and manipulate strings and DateTime. The course also delves into tidy data strategies, handling missing values, and data preprocessing for machine learning with Scikit-Learn. Hands-on labs and homework assignments ensure you practice each concept, making you proficient in preparing data for real-world projects and machine learning applications