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Ekascloud

AI for Finance and Banking

  • 24/7 Support
  • 2 Months
  • 80 Sessions

Course Description

The AI for Finance and Banking course is designed to help finance professionals, banking experts, students, and business leaders understand how Artificial Intelligence is transforming the global financial industry. This program covers practical applications of AI in banking operations, fraud detection, financial analytics, customer service automation, credit scoring, investment analysis, risk management, compliance, and fintech innovation. Learners gain hands-on exposure to Generative AI, Machine Learning, financial automation tools, AI-driven analytics, and intelligent banking systems used in modern financial institutions. The course combines finance domain knowledge with real-world AI implementation strategies to prepare learners for the future of digital banking and financial technology.

 

One to One personalized training Schedule for AI for Finance and Banking

EkasCloud provides flexible training to all it's student. Here is our training schedule. Incase you find these timings difficult, please let us know. We will try to arrange appropriate timings based on your Convenience.

22-05-2026 Friday (Monday - Friday) Weekdays Regular 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session
24-05-2026 Sunday (Monday - Friday) Weekdays Regular 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session
26-05-2026 Tuesday (Monday - Friday) Weekdays Regular 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session
27-05-2026 Wednesday (Monday - Friday) Weekdays Regular 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session

Course Detail

The AI for Finance and Banking course is designed to help finance professionals, banking experts, students, and business leaders understand how Artificial Intelligence is transforming the global financial industry. This program covers practical applications of AI in banking operations, fraud detection, financial analytics, customer service automation, credit scoring, investment analysis, risk management, compliance, and fintech innovation. Learners gain hands-on exposure to Generative AI, Machine Learning, financial automation tools, AI-driven analytics, and intelligent banking systems used in modern financial institutions. The course combines finance domain knowledge with real-world AI implementation strategies to prepare learners for the future of digital banking and financial technology.

 

Why Learn This Course?

  • Learn how AI is revolutionizing banking and financial services.
  • Understand real-world AI applications in fintech and digital banking.
  • Gain skills in fraud detection, financial forecasting, and predictive analytics.
  • Learn how AI improves customer experience and banking automation.
  • Build knowledge of AI-driven investment and portfolio management systems.
  • Understand risk management and AI-based compliance monitoring.
  • Learn Generative AI use cases in finance and business operations.
  • Improve career opportunities in banking, fintech, and financial analytics.
  • Develop future-ready finance and AI skills highly demanded in the industry.
  • Gain practical experience with modern financial AI tools and workflows.

Key Learning Outcomes

After completing this course, learners will be able to:

  • Understand AI concepts applied to banking and finance.
  • Use Generative AI tools for financial analysis and reporting.
  • Build AI-powered fraud detection and risk management systems.
  • Perform predictive analytics for financial decision-making.
  • Automate banking operations using AI workflows.
  • Understand AI-based credit scoring and underwriting systems.
  • Analyze customer behavior using intelligent financial analytics.
  • Build AI-powered chatbots and financial assistants.
  • Understand compliance, governance, and ethical AI in finance.
  • Implement AI solutions in fintech and enterprise banking environments.
 

  • Start with Generative AI foundations and core AI concepts.
  • Learn Prompt Engineering and effective AI interaction techniques.
  • Practice every topic through guided labs and demos.
  • Build AI applications using real-time use cases.
  • Work on API integrations and cloud-based AI deployments.
  • Learn architecture design for AI systems and workflows.
  • Complete assignments, assessments, and mock exams regularly.
  • Develop end-to-end AI projects from development to production.
  • Participate in interview preparation and resume-building sessions.
  • Gain confidence through continuous practical implementation and project reviews
 

AI for Finance and Banking Syllabus

View Syllabus

2 Months Course 50% Theory 50% Lab Daily Home work & Real time Projects Unlimited Mock Exams Unlimited Mock Interview

Topics Covered

  • Introduction to Artificial Intelligence in Finance and Banking
  • Fundamentals of Banking, Fintech, and Financial Systems
  • Machine Learning Concepts for Financial Applications
  • Generative AI and Prompt Engineering for Finance
  • AI-Powered Fraud Detection and Transaction Monitoring
  • Credit Risk Analysis and Predictive Financial Modeling
  • AI in Investment Banking and Portfolio Management
  • Financial Data Analytics and Business Intelligence
  • AI-Based Customer Support and Banking Chatbots
  • AI Automation for Banking Operations and Compliance
  • Robo-Advisors and Personalized Financial Services
  • Open Banking, Digital Payments, and Intelligent Finance Systems
  • AI Security, Ethics, and Regulatory Compliance in Finance
  • Real-Time Financial Forecasting and Decision Intelligence
  • Building Production-Ready Financial AI Applications
  • Case Studies on AI in Global Banking and Fintech Companies
  • Hands-On Projects in AI for Finance and Banking
  • Interview Preparation, Resume Building, and Career Guidance
 

Frequently asked question

Q: What if I miss a class?
A: We will stop the course for you because it is one-to-one or one-to-two students only.

Q: Will I get placement assistance?
A: Yes. You will get it once you are Certified.

Q: What if I have queries after I complete this course?
A: You can check our blog or send your queries from our website, social media like Facebook, Linkedin, Instagram, Twitter, and Youtube.

Q: How soon after signing up will I get access to the course?
A: Once you join the course, our Counselor Manager book a slot with our Trainer based on your and Trainer's available time.

Q: Is the course material accessible to the students even after the course training is over?
A: Yes, you can access our course material. Not only material, but you can also watch short and sweet videos from our Youtube Channel.

Q: What is the average salary ?   
A: $1,00,000

Q: How will this course help me pass the certification?
A: We provide separate Training for Exam and Interviews. In this Training will get more experience to pass Your Exam.

 
 

Admission Process

If a student want to take admission in any course he has to go with the following steps

Step 1
1 Hour Interview
  • Discuss Learning Goals: Understand the candidate’s career objectives, learning expectations, and prior experience (if any).
  • Personalized Course Recommendation: Based on the discussion, recommend the most suitable course.
  • Course Customization: Tailor the course plan to fit the candidate’s needs, including scheduling flexibility.
Step 2
3 Hour Assessment Session
  • Technical Skills Evaluation: Hands-on tasks or exercises to evaluate the candidate’s current technical understanding (for advanced courses).
  • Cloud Fundamentals Check: For entry-level courses, a basic assessment of cloud knowledge and IT skills.
  • Feedback & Results: Provide instant feedback and suggest an appropriate course path based on assessment performance.
Step 3
Final Enrollment

Upon successful completion of the assessment, candidates receive a customized learning path, course schedule, and payment options. Candidates can finalize their enrollment by agreeing to the course structure and payment plan.

AI for Finance and Banking Fees
£ 1750
Enroll Now