Through this Postgraduate certificate, based on Relearning, you will manage TensorFlow and Scikit-learn to identify Financial Risks such as default on payments” 

According to a new report prepared by the International Monetary Fund, financial institutions face increasing challenges in risk management due to market volatility and the complexity of financial products. Faced with this situation, the use of Artificial Intelligence has become a key solution to improve risk prediction and mitigation capabilities. In this sense, professionals need to skillfully handle tools such as TensorFlow and Scikit-learn to improve Financial Risk Management and fraud detection.  

To facilitate this task, TECH presents an innovative Postgraduate certificate in Artificial Intelligence for Financial Risk Management with TensorFlow and Scikit-learn. The academic itinerary will delve into the most sophisticated Machine Learning techniques to assess credit risks. In line with this, the syllabus will delve into different simulation methods for risk management, including the Monte Carlo technique. Likewise, the program will offer the keys for students to implement continuous risk monitoring systems. Thanks to this, graduates will develop advanced skills to implement Deep Learning algorithms applied to Financial Risk management with TensorFlow and Scikit-learn

In terms of methodology, the university program is taught 100% online, giving professionals the opportunity to access the content from anywhere and at any time, adapting the study to their schedules. In addition, TECH employs its revolutionary Relearning learning method. This system consists of the repetition of key concepts to fix knowledge and facilitate lasting learning. It should be noted that all students will need is an electronic device with an Internet connection to access the Virtual Campus. They will find a wide range of multimedia support resources such as interactive summaries, explanatory videos or case studies. In this way, graduates will enjoy a dynamic and enjoyable learning experience.  

This study plan allows you to exercise in simulated environments, which provide immersive learning programmed to train for real situations” 

This Postgraduate certificate in Artificial Intelligence for Financial Risk Management with TensorFlow and Scikit-learn contains the most complete and up-to-date scientific program on the market. The most important features include:

• Development of practical cases presented by experts in Artificial Intelligence 
• The graphic, schematic, and practical contents with which they are created, provide practical information on the disciplines that are essential for professional practice 
• Practical exercises where self-assessment can be used to improve learning. 
• Its special emphasis on innovative methodologies  
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments 
• Content that is accessible from any fixed or portable device with an Internet connection 

You will be able to complete the university program 100% online, adapting it to your needs and making it easier for you to complete it while you carry out your full-time professional activity”   

The program’s teaching staff includes professionals from the field who contribute their work experience to this educational program, as well as renowned specialists from leading societies and prestigious universities.  

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the course. For this purpose, students will be assisted by an innovative interactive video system created by renowned and experienced experts.   

Are you looking to develop effective solutions based on Artificial Intelligence models that optimize the identification of Financial Risks? Achieve it with this program in only 6 weeks"

You will delve into the most sophisticated tools for the optimization of financial portfolios"

The study plan will delve into the most sophisticated Machine Learning techniques for credit risk assessment, which will allow students to more accurately predict the probability of default of a credit applicant. Along the same lines, the syllabus will delve into Monte Carlo simulations so that graduates can model the uncertainty of financial variables (such as interest rates, asset prices or inflation) in multiple possible scenarios. In addition, the teaching materials will provide experts with state-of-the-art techniques for evaluating and presenting project results. 

You will build predictive models to forecast the probability of fluctuations in financial asset prices using Machine Learning algorithms” 

Module 1. Artificial Intelligence for Financial Risk Management with TensorFlow and Scikit-learn 

1.1. Fundamentals of Financial Risk Management 

1.1.1. Risk Management Basics 
1.1.2. Types of Financial Risks 
1.1.3. Importance of Risk Management in Finance 

1.2. Credit Risk Models with AI 

1.2.1. Machine Learning Techniques for Credit Risk Assessment 
1.2.2. Credit Scoring Models (Scikit-Learn) 
1.2.3. Implementation of Credit Risk Models with Python 

1.3. Market Risk Models with AI

1.3.1. Market Risk Analysis and Management 
1.3.2. Application of Predictive Market Risk Models 
1.3.3. Implementation of Market Risk Models 

1.4. Operational Risk and its Management with AI

1.4.1. Concepts and Types of Operational Risk 
1.4.2. Application of AI Techniques for Operational Risk Management 
1.4.3. Tools and Practical Examples 

1.5. Liquidity Risk Models with AI 

1.5.1. Fundamentals of Liquidity Risk 
1.5.2. Machine Learning Techniques for Liquidity Risk Analysis 
1.5.3. Practical Implementation of Liquidity Risk Models 

1.6. Systemic Risk Analysis with AI 

1.6.1. Systemic Risk Concepts 
1.6.2. Applications of AI in the Evaluation of Systemic Risk 
1.6.3. Case Studies and Practical Examples 

1.7. Portfolio Optimization with Risk Considerations 

1.7.1. Portfolio Optimization Techniques 
1.7.2. Incorporation of Risk Measures in Optimization 
1.7.3. Portfolio Optimization Tools

1.8. Simulation of Financial Risks 

1.8.1. Simulation Methods for Risk Management 
1.8.2. Application of Monte Carlo Simulations in Finance 
1.8.3. Implementation of Simulations with Python 

1.9. Continuous Risk Assessment and Monitoring 

1.9.1. Continuous Risk Assessment Techniques 
1.9.2. Risk Monitoring and Reporting Tools 
1.9.3. Implementation of Continuous Monitoring Systems

1.10. Projects and Practical Applications in Risk Management

1.10.1. Development of Financial Risk Management Projects 
1.10.2. Implementation of AI Solutions for Risk Management 
1.10.3. Evaluation and Presentation of Project Results 

The implementation of Artificial Intelligence for Financial Risk Management with TensorFlow and Scikit-lean has a growing future. This program will prepare you to overcome the challenges you face in this field. Enroll now!”