Leverage AI to Automate Financial Workflows Using No-Code Tools

The program is taught by Johns Hopkins University faculty, including Dr. Ian McCulloh, an expert in AI and network science, and Dr. Jim Kyung-Soo Liew, a finance expert with extensive experience in investment strategy and AI applications.

Yes. The curriculum covers practical AI applications across audit, risk, compliance, and investment analysis. Through hands-on projects, you'll learn to automate forecasting, reporting, fraud detection, KYC/AML workflows, credit underwriting, portfolio risk monitoring, and investment research using Generative AI and Agentic AI.

Yes. You'll learn how AI can support sanctions screening, Know Your Customer (KYC), Anti-Money Laundering (AML), credit risk assessment, fraud detection, regulatory reporting, and audit-ready workflow automation.

Finance professionals increasingly benefit from tools that support automation, financial analysis, risk assessment, and compliance. This program provides practical experience with no-code AI tools, the Claude ecosystem, prompt engineering, RAG, API integration, and Agentic AI workflows that can be applied across finance functions.

Yes. The curriculum introduces practical applications of AI in investment research, portfolio monitoring, market sentiment analysis, and decision-support systems that help finance professionals evaluate investment opportunities more efficiently.

No, you do not need any coding or technical experience to enroll in this program. The curriculum is intentionally designed for Finance, Investment, Risk, Strategy & Advisory Professionals with a foundational understanding of finance. No prior background in programming, Artificial Intelligence, or Machine Learning is required.

Yes. Beyond implementation, the curriculum helps finance leaders assess AI opportunities, evaluate vendor claims, understand AI governance, and lead responsible AI adoption across business functions.

For information on fee structure, offers, payment plans, and eligibility for financial assistance, contact your Program Advisor.

The fee covers access to the online learning platform, course materials, lab tools live faculty sessions, practical projects, assessments, and a Certificate of Completion from Johns Hopkins University upon successfully meeting the program requirements.
The program provides no-code hands-on experience, while teaching architectural design for the Claude ecosystem (independent API exploration is optional).

As organizations move beyond AI experimentation, employers increasingly seek professionals who can implement, govern, and evaluate AI systems in financial environments. Skills in Agentic AI, workflow automation, and AI governance can support career growth across finance, risk, compliance, investment, and strategy functions.

AI is reshaping finance by automating repetitive tasks, improving forecasting accuracy, accelerating financial analysis, enhancing compliance monitoring, and enabling data-driven decision-making. However, professionals who can combine AI capabilities with financial judgment and regulatory understanding are likely to remain the most valuable.

Yes. The program helps professionals develop practical skills in AI-powered financial analysis, workflow automation, compliance, investment research, and intelligent decision support. The hands-on portfolio can demonstrate your ability to apply AI in real financial scenarios.

Yes. Financial institutions increasingly use AI to identify anomalies, review documentation, automate compliance checks, and improve audit efficiency. The program covers explainable AI approaches that support regulated financial environments while maintaining transparency and accountability.

The program teaches best practices for deploying AI in regulated financial environments. You'll learn how to protect sensitive data and PII, apply AI governance and security frameworks, use redacted datasets for practical projects, and build explainable, audit-ready AI systems with appropriate human oversight and compliance controls.