Artificial Intelligence

STARTS SOON ON SUNDAY, FEBRUARY 2nd, 2025!

  In the ever-evolving field of artificial intelligence, mastering the nuances of prompt engineering is essential for professionals aiming to harness the full potential of generative AI. This 2-month course on “Advanced Techniques in Prompt Engineering” is meticulously designed for engineers who are keen to deepen their expertise and apply advanced prompt engineering techniques in an enterprise setting.

STARTS ON SUNDAY, June 1st, 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 WEDNESDAY, April 9, 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.