Agentic AI Fundamentals

This course contains the use of artificial intelligence. Agentic AI Fundamentals is a practical, hands-on course designed to help you understand, build, and apply agent-based AI systems with real-world financial and business use cases. Unlike traditional AI tutorials that focus only on prompts or single-model outputs, this course teaches you how autonomous and semi-autonomous AI agents can think, reason, validate, collaborate, and operate within controlled workflows.You will start by building a strong foundation in AI, machine learning, and deep learning concepts, followed by a clear introduction to what agentic AI is and why it is transforming modern analytics and decision-making. As the course progresses, you will learn how AI agents work, how they communicate, how they access tools and APIs, and how multi-agent systems can collaborate to solve complex problems.This course places strong emphasis on finance-focused applications, including equity research workflows, financial statement analysis, automated insights, and multi-agent investment simulations. You will learn how to connect AI agents with real financial data sources using APIs, validate outputs, and design guardrails to prevent hallucinated or fabricated financial data.A key highlight of this course is responsible AI in finance. You will understand how to implement verification layers, human-in-the-loop review, governance, audit trails, and compliance-aware AI workflows. These concepts are critical for professionals working in regulated environments such as investment banking, equity research, FP&A, consulting, and corporate finance.By the end of the course, you will not only understand how agentic AI systems work, but also how to design reliable, explainable, and production-ready AI solutions that align with real-world financial standards and regulatory expectations.Whether you are a finance professional, analyst, data enthusiast, or someone looking to future-proof your career, this course will give you a solid and practical foundation in agentic AI.