Coursework Notes, Videos, and NotebookLM Resources
Welcome to my personal learning hub for the MIT Professional Education course, "Applied Agentic AI for Organizational Transformation." As AI shifts from simple content generation to autonomous, agentic decision-making, it is fundamentally reshaping how modern organizations operate, compete, and innovate.
Over this intensive 8-week program, I explored how Generative and Agentic AI systems integrate into enterprise strategy, cloud platforms, APIs, and workflows. The curriculum goes beyond the technical—delving into strategic deployment, ethical integration, regulatory compliance (like GDPR and HIPAA), and designing agent-based workflows that drive real-world transformation.
Below, I am sharing my own coursework notes, reflections, video links, and interactive NotebookLM audio resources gathered throughout this journey. These materials serve as both a personal reference and a resource for others looking to move their AI initiatives "from prompt to impact."
Notes Summary: This module explores the evolution from early rule-based chatbots to modern LLMs and reasoning models. It dives into the practical cost drivers of AI deployment (token economics and compute trade-offs), breaks down multimedia interaction architectures (ASR, TTS, NLU), and sets the stage for the transition to proactive, autonomous Agentic AI workflows.
Notes: Coming soon. This section will contain my study notes.
More modules and resources will be added as the course progresses.