artificial intelligence

STARTS ON SUNDAY, FEBRUARY 2nd, 2025!

  AI Agents Bootcamp is an intensive 4-month program designed to equip AI professionals with cutting-edge skills in Multi AI Agents System creation and execution. This dual-phase course combines theory with hands-on practice, empowering engineers to excel in building and optimizing advanced AI Agent applications for real-world challenges. It comprises in-depth lecture/theory sessions, guided labs for building AI models, quizzes, projects on real-world datasets, guided readings of influential research papers, and discussion groups.

STARTS SOON ON MONDAY, MAR 31, 2025!

  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 TUESDAY, FEBRUARY 4th, 2025!

  This course is designed to introduce students to the foundational and advanced concepts of artificial intelligence, with a focus on neural networks, large language models, and generative AI. Through a combination of lectures, hands-on coding exercises and project work, students will gain a deep understanding of the mathematical and technical underpinnings of AI technologies. They will explore the theory behind neural networks, delve into various architectures, and understand the applications and implications of AI in the real world.