Agentic AI Content for Practitioners  (Teams: Finance)

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Agentic AI Content for Practitioners (Teams: Finance)

Coursera · Intermediate ·🤖 AI Agents & Automation ·3mo ago

Key Takeaways

Teaches branding basics with Adobe Express, including logo design and brand identity

Original Description

Agentic AI Content for Practitioners (Teams: Finance) is an intermediate-level course designed for finance professionals and data specialists seeking to revolutionize financial workflows through intelligent automation. In a landscape where regulatory pressure, fraud risk, and operational complexity are ever-increasing, manual finance processes are no longer sustainable. This course empowers learners to design and deploy AI agents that intelligently analyze transactions, optimize financial operations, and adapt to shifting market and compliance demands. Through hands-on labs, real-world use cases, and interactive simulations, you'll build agents that reason through complex financial data—detecting anomalies, routing invoices, automating cash flow management, and generating ESG insights. These agents go beyond scripted logic; they use memory, planning, and tool invocation to continuously improve performance and align with your financial goals. By the end of the course, you’ll know how to identify high-value automation opportunities, configure intelligent agents within finance systems, and implement solutions that are auditable, explainable, and human-aligned—ensuring measurable ROI and strategic impact across your finance function.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
FLUX 3 Learned to Predict Movement. Now the Factory Has to Give It Hands
FLUX 3, a generative AI model, can predict movement and is being integrated with robotics, requiring the development of physical hands for interaction
Medium · AI
📰
How to run Hermes, a self-improving personal AI agent, fully local with QVAC
Run a self-improving personal AI agent, Hermes, locally with QVAC and learn how it differs from traditional task-oriented AI tools
Dev.to · Thomas
📰
Your AI Agent Does Not Need a Bigger Context Window. It Needs a Budget.
Optimize AI agent performance with budgeting instead of relying on larger context windows
Medium · LLM
📰
Build With a Memory Is Now a Public Repo
Learn to build an agent with a memory using a newly open-sourced repository, enabling more efficient task management
Dev.to · Andrew Detwiler
Up next
Build Agentic AI End-to-End Real-Time Projects | 2026
Rajeev Kanth | BEPEC
Watch →