Description

**This course contains the use of artificial intelligence.** AI is evolving far beyond simple chatbots. Modern AI systems can reason, remember context, use external tools, retrieve data, and collaborate across workflows.This Agentic AI fundamentals course is designed to help you understand the basics of Agentic AI. Moreover, it explains how intelligent AI agents are built for practical finance and business workflows.Are you a student, analyst, finance professional, or someone curious about the future of AI systems?If so, you’re in the right place. This course offers a structured and beginner-friendly introduction to building AI agents using modern tools and real-world workflows.You’ll begin by understanding what Agentic AI is, how AI agents operate, and how businesses are increasingly using intelligent systems to automate tasks, retrieve information, analyze data, and support decision-making.From there, you’ll learn how to configure OpenAI APIs, set up your development environment, and build your first AI agent capable of processing instructions, generating responses, and performing reasoning tasks.The course then walks you through stateless and stateful AI agents, helping you understand how memory, context retention, and multi-step reasoning improve the capabilities of AI systems.You’ll also learn how AI agents integrate with tools and APIs to access external data sources. The course includes practical integrations with financial data sources such as Yahoo Finance, YCharts, and SEC Edgar, allowing agents to retrieve financial data, ratios, filings, and market information dynamically.In addition, you’ll explore multi-agent collaboration systems where specialized agents work together across research, analysis, and reporting workflows similar to real analyst teams.The course also focuses on responsible AI implementation, including AI safety principles, hallucination prevention, validation techniques, and guardrails designed to improve the reliability of AI-generated outputs.Rather than focusing only on theory, this course emphasizes practical workflows and real-world applications so you can understand how intelligent AI systems are being applied across finance, analytics, and business environments.By the end of this course, you will understand how modern AI agents are structured, how they interact with tools and APIs, and how businesses are beginning to use Agentic AI systems in real workflows.Skills You Will GainAI agent developmentAgentic AI workflowsOpenAI API integrationMulti-agent system designAI memory and context managementTool-enabled AI systemsFinancial data integrationAI workflow automationResponsible AI implementationAI validation and guardrail systemsIntelligent workflow designFinance-focused AI workflowsHow This Course Helps YouUnderstand how intelligent AI agents workLearn practical AI workflows used in modern businessesGain exposure to finance-focused AI systemsUnderstand how AI agents interact with tools and dataLearn the foundations of multi-agent AI systemsBuild future-ready AI workflow knowledgeWhat Makes This Course DifferentFocus on practical AI agent workflows rather than only theoretical conceptsLearn how AI agents are applied in real finance and business environmentsBuild stateless and stateful AI agents with memory and reasoning capabilitiesIntegrate external tools and financial APIs into AI workflowsUnderstand multi-agent collaboration systems and specialized agent rolesExplore responsible AI practices, validation techniques, and hallucination preventionStructured beginner-friendly approach to understanding Agentic AI systemsHands-on exposure to real-world finance and analytics workflow examplesBy the End of This Course, You Will Be Able ToBuild AI agents with reasoning and memory capabilitiesIntegrate APIs and tools into AI workflowsCreate multi-agent collaboration systemsRetrieve and analyze financial information using AI agentsImplement safer and more reliable AI workflowsUnderstand how businesses use Agentic AI systemsAbout the Course DirectorThis course is directed by Dheeraj Vaidya, Co-Founder of WallStreetMojo and ExcelMojo. He brings more than two decades of experience in finance education and professional training.Over the years, he has trained more than 100,000 students and professionals across various industries and has worked with organizations including JPMorgan, CLSA, Bennett Coleman, and Adventity.His background covers different areas such as financial analysis, valuation, investing, and the integration of AI into modern finance workflows and education.