Sep 16 Python & AI - Session 4: Unveiling Stories: Exploratory Data Analysis (EDA) Techniques 2 – 3 p.m., Sept. 16, 2025 Applying statistical and visual techniques to explore datasets and generate hypotheses.
Sep 18 Image Deep Learning Workflow for Aerial Imagery Analysis 10 – 11 a.m., Sept. 18, 2025 This session walks through a full ML workflow—from using pretrained models to training with labeled data—using tools like Data-to-Science, Jupyter, PyTorch, GitHub, and Huggingface.
Sep 23 Image Foundation Models to Autonomous Agents - Session 5: GAN (Generative Adversarial Networks) 1 – 2 p.m., Sept. 23, 2025 This session focuses on Recurrent Neural Networks (RNNs) for sequential data, explaining their use of hidden states for memory, the training challenges they face, and how advanced variants like LSTMs and GRUs use gating mechanisms to overcome these issues.
Sep 23 Python & AI - Session 5: AI & Machine Learning Demystified: Core Concepts 2 – 3 p.m., Sept. 23, 2025 Understanding fundamental AI and ML concepts, terminology, and the machine learning workflow.
Sep 30 Image Planning for Your Next Research Project 10 – 11:15 a.m., Sept. 30, 2025 A session designed to enhance team communication and ensure research objectives are clearly defined and effectively communicated through structured planning processes.
Sep 30 Image Foundation Models to Autonomous Agents - Session 6: RAG (Retrieval Augmented Generation) 1 – 2 p.m., Sept. 30, 2025 Introduction to the revolutionary "Attention is All You Need" concept. Will focus on how attention allows models to weigh the importance of different parts of the input sequence, overcoming limitations of RNNs.
Sep 30 Python & AI - Session 6: Predictive Power: Hands-on Machine Learning with Scikit-learn 2 – 3 p.m., Sept. 30, 2025 Implementing basic supervised and unsupervised learning models using Scikit-learn.
Oct 04 Image Foundation Models to Autonomous Agents - Session 8: Tool calling & SQL code generation 1 – 2 p.m., Oct. 4, 2025 This session explores how LLMs interact with external tools and APIs through function calling, including defining and using tools, processing outputs, integrating capabilities like calculators and web search, and generating SQL from natural language using techniques like RAG and multi-dialect handling, with practical database exercises.
Oct 07 Image Foundation Models to Autonomous Agents - Session 7: CNN (Convolutional Neural Networks) 1 – 2 p.m., Oct. 7, 2025 This session delves into Convolutional Neural Networks (CNNs) for image processing, covering key components like convolutional and pooling layers, fully connected layers, and core concepts such as parameter sharing, receptive fields, and hierarchical feature learning, with brief reference to notable CNN architectures.
Oct 07 Python & AI - Session 7: Understanding Text: Python for Natural Language Processing (NLP) Basics 2 – 3 p.m., Oct. 7, 2025 Introduction to text data processing, feature extraction, and simple NLP tasks.