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AI in Risk Management: Advanced Techniques for Financial Stability
AI, risk management, financial stability, credit scoring, fraud detection, market analysis, neural networks, predictive analytics, data governance
Enroll now for early access of e-LMS
Online/ e-LMS
Self Paced
Advanced
8 weeks
About
AI in Risk Management: Advanced Techniques for Financial Stability is an 8-week intensive program designed for M.Tech, M.Sc, and MCA students, as well as professionals in BFSI and fintech. It covers the application of AI in various aspects of risk management, including credit scoring, fraud detection, and market risk analysis, providing participants with the skills to develop AI-driven solutions that mitigate risks effectively.
Aim
The course aims to equip participants with advanced AI techniques to enhance risk management strategies, improve financial stability, and drive innovation in the financial services sector.
Program Objectives
- Develop Expertise in AI for Risk Management: Gain a deep understanding of how AI can be applied to manage financial risks.
- Practical AI Skills: Acquire hands-on skills in using AI tools and techniques for risk assessment.
- Strategic Thinking: Learn to strategically integrate AI solutions within financial organizations for optimal risk management.
Program Structure
- Introduction to AI in Risk Management: Basics of risk management and the role of AI in enhancing risk assessment and mitigation.
- Data Handling and AI Models: Best practices in data collection, quality, and processing tailored for risk management.
- AI Applications in Financial Risk Analysis: Using AI for credit risk assessment, market risk management, and operational risk strategies.
- Advanced AI Techniques and Tools: Exploration of neural networks, natural language processing, and their applications in financial forecasting and compliance monitoring.
- Implementing AI Solutions in Risk Management: Strategies for AI adoption, addressing challenges, and planning for future AI integration.
Participant’s Eligibility
- M.Tech, M.Sc, and MCA students specializing in finance, analytics, or IT.
- Professionals in BFSI, analytics services, and fintech IT services looking to enhance their risk management capabilities.
Program Outcomes
- Enhanced Risk Management Skills: Ability to implement robust AI-driven solutions for risk assessment and mitigation.
- Improved Decision-Making: Enhanced capabilities in making informed decisions based on AI-generated insights.
- Innovative Problem Solving: Skills in developing innovative AI solutions to manage and mitigate risks in financial settings.
Fee Structure
Standard Fee: INR 10,998 USD 198
Discounted Fee: INR 5499 USD 99
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of CurrenciesBatches
Live
Certificate
Program Assessment
Certification to this program will be based on the evaluation of following assignment (s)/ examinations:
| Exam | Weightage |
|---|---|
| Mid Term Assignments | 50 % |
| Project Report Submission (Includes Mandatory Paper Publication) | 50 % |
To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.
Program Deliverables
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet
Placement Assistance
- Career Services: Resume building, interview preparation, and job placement assistance tailored to risk management and AI fields.
- Networking Opportunities: Access to a network of professionals and industry leaders in risk management and AI technology.
- Corporate Engagement: Collaboration with financial institutions to provide insights and enhance job prospects.
Future Career Prospects
- AI Risk Analyst: Specialize in using AI to analyze and mitigate financial risks.
- Chief Risk Officer: Lead risk management initiatives using AI technologies.
- AI Compliance Specialist: Ensure AI solutions adhere to industry regulations and standards.
Enter the Hall of Fame!
Take your research to the next level!
Achieve excellence and solidify your reputation among the elite!
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Recent Feedbacks In Other Workshops
The course was more theoretical than practical.
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