Agentic & Generative AI for Banking

4.5 (300–500+ Learners)

Learn from industry experts with hands-on projects & live mentorship

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8 Sessions

Duration – 16 Hours

English / Arabic

Certificate of Completion

Introduction to AI, ML, and Generative AI in the BFS ecosystem

Exploration of real-world banking and financial services AI use cases

Understanding regulatory, ethical, and risk considerations in AI adoption

Exposure to AI agents, automation tools, and enterprise AI platforms

Hands-on capstone project focused on BFS-specific AI applications

AI, Machine Learning, and Generative AI fundamentals

AI use cases in Banking, Financial Services & FinTech

Fraud detection, credit scoring, and risk analytics

Customer experience, chatbots, and AI agents

Regulatory compliance, governance, and ethical AI

Intelligent automation and AI-powered decision systems

Enterprise case studies and BFS AI implementations

Understand key AI concepts and their relevance to BFS operations

Identify high-impact AI use cases across banking and financial services

Analyze how AI improves risk management, fraud detection, and compliance

Evaluate AI tools, platforms, and deployment models used in BFS

Design and present AI-driven solutions for BFS business challenges

About the Course & Benefits

This course equips professionals with practical knowledge to apply AI across core BFS functions. It covers real-world use cases such as risk management, fraud detection, credit scoring, compliance, customer experience, and intelligent automation. Through case studies and hands-on projects, participants learn how AI, ML, LLMs, and Agentic AI are transforming modern financial institutions.

Benefits included:

KHDA + Medilearn certification

Understand practical AI use cases in Banking & Financial Services

Develop skills to identify and propose AI-driven business solutions

Improve decision-making with data-driven and AI-powered insights

Course Circulation

Module 1

Module 2

Module 3

Module 4

Module 5

Module 6

MediLearn Certificate

Earn a Course Completion Certificate, an official credential from MediLearn, recognizing your dedication and hard work throughout the program. This certificate confirms that you have successfully met all course requirements, including assessments, practical activities, and guided learning sessions. It serves as a trusted proof of your newly acquired knowledge and skills, valued by employers and professional institutions. Display it with pride on your resume, LinkedIn profile, or portfolio to strengthen your professional credibility and career opportunities.

Student Success Stories

“Education is one of the most essential and valuable assets that an individual can possess, It plays a pivotal role in shaping.”

The Career Changer
"This course was the key to my career pivot. I went from a traditional IT role to an AI Specialist at a leading tech firm in Dubai. The hands-on GCP and Gemini API projects were exactly what employers were looking for."

The Promotion Earner
"After completing the Agentic AI course, I was able to lead a major project using Vertex AI, which directly led to my promotion to Senior Data Scientist. The practical skills are invaluable."

The Technical Expert
"As a backend engineer, I needed to upskill in AI to stay relevant. This course's deep dive into Google Gemini API on GCP was exactly what I needed to secure a new, higher-paying role."

The Strategic Leader
"To lead my team effectively, I needed to understand the strategic applications of agentic AI. This course gave me the knowledge to develop a new AI strategy that got me promoted to Director of Technology."

The Innovator
"I've always been interested in AI, but this course gave me the practical skills to actually build solutions. I was able to land a job at a cool tech startup in Dubai, working on cutting-edge projects."

The Specialist
"The healthcare sector is rapidly adopting AI. This course's focus on Google's advanced AI tools helped me secure a specialized role in medical data analysis, a field I'm passionate about."

FAQs

What is Agentic & Generative AI in banking?

It refers to AI systems that can generate insights, content, and decisions while autonomously executing banking workflows such as risk checks, customer support, and compliance tasks.

How is Agentic AI different from chatbots?

Agentic AI can plan actions, call tools, interact with multiple systems, and complete end-to-end tasks without constant human input—unlike rule-based chatbots.

What banking use cases can benefit from this technology?

Key use cases include customer onboarding, fraud detection, credit risk analysis, transaction monitoring, compliance automation, and personalized banking experiences.

Is Agentic AI secure for banking environments?

Yes, when implemented with proper security controls such as IAM, encryption, audit logs, and human-in-the-loop approvals, it meets enterprise banking security standards.

5. Can Agentic AI comply with banking regulations?

Yes. These systems can be designed to follow regulatory frameworks by embedding policy rules, approval workflows, monitoring, and explainability into the AI lifecycle.

Does this replace human bankers or analysts?

No. Agentic AI augments human teams by automating repetitive tasks and providing insights, allowing bankers to focus on decision-making and customer relationships.

How does Generative AI improve customer experience in banking?

It enables personalized interactions, instant support, intelligent recommendations, and faster issue resolution across digital banking channels.

How can banks start adopting Agentic AI safely?

Banks should begin with controlled pilot use cases, sandbox environments, strong governance, and gradual scaling aligned with compliance and risk teams.

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