“This course covers complex concepts in a very digestible manner. Highly recommended for anyone looking to enhance their AI skills.”
Hiroshi Tanaka | Machine Learning Engineer at Nexus InnovationsAgentic AI Engineering Course - Build Autonomous AI Agents for Finance
Learn to build single agents and multi-agent teams that automate financial reports, data research, valuation commentary, and analysis using OpenAI Agents SDK, AutoGen, and live financial APIs.
Topics Covered:
Prompt Mastery, Stateful AI Agents, Memory Enhancement, AI Data Collection, Multi-Agent Collaboration, Guardrails, AutoGen Framework, and more..
Relevant Career Paths:
Artificial Intelligence Analyst, Equity Research Analyst, Financial Analyst, Fintech Analyst, and more..
- 7+ Hours of Video Tutorials
- Downloadable Resources
- 1-Year Unlimited Access
- Certification Post Completion
“The course offers a solid foundation in AI engineering. Great mix of theory and practical applications, perfect for aspiring engineers.”
Sofia Rossi | Data Scientist, QuantumTechSingle Agents First. Multi-Agent Teams Next. Finance AI Mastery Always.
The course begins with prompt mastery, OpenAI Agents SDK setup, and building your first single AI agent for finance tasks. You then progress to stateful agents with memory, financial headline summarizers, and stock summary agents - all grounded in concrete finance use cases before moving to advanced multi-agent systems.
Your step-by-step path to building agentic AI systems for finance.
The curriculum is structured to take you from your first agent to coordinating multi-agent research teams with guardrails.
Preview the learning experience before you enroll.
Preview how each concept blends agentic AI building with practical finance use cases, taught with hands-on examples.

Learn directly from a former investment banker turned AI-for-finance trainer.
Dheeraj Vaidya, CFA, FRM
Co-Founder, WallStreetMojo · View LinkedIn profile →
Dheeraj Vaidya is an IIT and IIM alumnus with 20+ years of training experience and prior analyst roles at JPMorgan and CLSA. He has trained over 100,000 finance students globally and built the Agentic AI Engineering course to help finance professionals automate research, reporting, and analysis using single and multi-agent AI systems.
From manual financial research to engineering autonomous AI research teams.
Finance roles are rapidly shifting toward AI-assisted workflows, and professionals who can build agentic AI systems will lead the next hiring wave.
Is this course right for you?
Use this self-check to know exactly what this Agentic AI Engineering course delivers - and what it does not.
This course is built for:
This course is NOT for:
Ready to build your first autonomous AI agent for finance?
Get the complete Agentic Ai and Engineering Course course for $99 — save $100, today only.
The only Agentic AI course built specifically for finance professionals.
Most AI courses teach generic chatbots. This one teaches you to engineer autonomous agents that pull live financial data, write reports, and collaborate as a research team.
Foundations Before Frameworks
You start with single-agent basics in the OpenAI Agents SDK before adding memory, tools, and multi-agent orchestration.
Real Tools, Real Finance APIs
Build agents that pull data from Yahoo Finance, YCharts, and SEC Edgar - not toy demos disconnected from real work.
Practitioner Workflows
Mini-projects mirror real desk work: portfolio tracking, AI research teams for Apple Inc., and investment committee debates.
Bundled Value vs Buying Apart
A structured 8-module path plus projects, assessments, and certificate - at 50% off the original $199 price.
By the end of this Agentic AI Engineering course, you will think like an AI engineer and work like a modern finance professional - building, reviewing, and deploying agents that automate research, reporting, and analysis with confidence.
Why pay more - in time or money - to learn Agentic AI Engineering for finance the unstructured way?
Most learners consider two paths before buying a structured bundle: free self-study through YouTube and blogs, or buying individual courses separately. Neither gives you the guided agent-building sequence, finance-specific projects, and certification this bundle delivers.
Simple takeaway: WallStreetMojo's Agentic AI Engineering Course gives you hands-on agent-building skills, finance-specific API integration, multi-agent frameworks, guardrails implementation, real-world projects, and a recognized certification - all in one structured 8-module path at an unbeatable price.
What learners say about WallStreetMojo training
“A fantastic introduction to AI engineering! The course is clear, practical, and provides excellent hands-on experience.”
“The modules are well-organized and easy to follow. A great starting point for professionals transitioning into AI.”
“The course explains Agentic AI concepts in a simple, hands-on way. Great for anyone wanting real-world AI engineering skills.”
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Making complex concepts simple to understand
From searching for affordable online learning to completing an exceptional course experience.
From CFA concepts to real-world financial modeling and valuation skills.
Earn a WallStreetMojo certificate after course completion.
Add the Agentic AI Engineering certificate to LinkedIn, your resume, and analyst portfolio to showcase skills in single-agent builds, multi-agent collaboration, and finance API integration.

Frequently Asked Questions
These answers cover Agentic AI Engineering scope, prerequisites, finance applications, access, and certification specific to this course.
What is Agentic AI Engineering?
This refers to the process of developing AI-powered agents that can complete specific tasks without any manual effort. This process involves the use of certain elements, like APIs and memory.
How does Agentic AI differ from traditional AI models?
Unlike conventional AI models, agentic AI is autonomous, goal-oriented, and proactive. Moreover, the latter helps in carrying out actions and performing certain tasks in real time. Also, Agentic AI is capable of performing complex tasks, whereas traditional AI typically can perform simple or less complicated tasks that are routine in nature.
What skills will I learn in the Agentic AI Engineering course?
Some key skills that you can learn if you enroll in the course are as follows: AI Data Collection And Research, Combine Financial And AI Tools, Collaboration of Different AI Agents , Build AI Agents With Memory Enhancement Features
What are the real-world applications of Agentic AI?
Some real-world applications of autonomous AI systems are as follows: Automating equity research, Generation of financial reports , Analysis of key financial data, Collecting financial data in real time from different platforms
Does the course cover designing autonomous AI agents?
Yes, this course covers the process of designing autonomous artificial intelligence agents in detail with the help of examples so that you can enhance your practical knowledge. Is prior AI or programming experience required for this course? No, one does not need any prior programming or AI-related knowledge to enroll in the Agentic AI Engineering course.
What career options can I explore after completing the Agentic AI course?
Some noteworthy career options worth exploring are as follows: AI analyst , Financial analyst , Fintech analyst
How can this course help me in terms of career progress?
This course can help you upskill in AI. Precisely, you will learn how to use AI agents effectively to automate tasks and enhance productivity. Given the current scenario where AI skills in finance are in great demand, completing the course and obtaining the certificate can certainly help improve your chances of improving career progress significantly.
Does the Agentic AI Engineering course come with a certificate?
Yes, the course comes with a certificate.
Still could not find your answer?
Send us your question and our team will help you understand whether this course is right for your goals.
Single Agents First. Multi-Agent Teams Next. Finance AI Mastery Always.
Take the complete Agentic AI Engineering journey - from setting up your first agent to orchestrating an AI research team that automates equity research and financial reporting.