KnowledgeGraphs

TBD

  Advanced Data Science Techniques builds on foundational data science concepts, focusing on advanced methods for data analysis using Google Cloud Platform (GCP). The course offers 50 hours of in-person or remote training, combining lectures, guided labs, projects, and research paper discussions. Flexible attendance options and comprehensive support ensure a seamless learning experience.

(If you are paying by Check or Zelle upfront, then you get the discounted rate of $3200)

STARTS  ON THURSDAY, Jan 29, 2026!

  This 12-week curriculum equips AI engineers with theoretical knowledge and practical skills in Retrieval-Augmented Generation (RAG). Through hands-on projects and programming sessions, participants gain expertise in implementing and optimizing RAG systems for real-world applications, building a strong project portfolio and confidence to tackle advanced AI Search.

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.