With this 100% online Postgraduate certificate, you will combine traditional financial knowledge with the most advanced technological tools, such as Machine Learning
and Natural Language Processing (NLP)”

Fundamental analysis of financial markets is undergoing a significant transformation thanks to Artificial Intelligence. In fact, the use of AI models has enabled analysts to sift through huge volumes of data, including unstructured information such as social networks and sentiment analysis, to gain deeper insights into market behavior.

This is how this Postgraduate certificate was created, in which professionals will be able to apply predictive algorithms to analyze historical data, identify patterns and generate models that help improve data-driven investment decision making. This will allow a deeper understanding of market behavior and the financial performance of companies, facilitating asset selection and the creation of more robust and risk-adjusted portfolios.

In addition, tools such as ChatGPT will be used to interpret financial reports, extract relevant information and improve the assessment of the financial health of companies. With the processing of large volumes of unstructured data, such as those contained in management reports or audit analysis, key performance indicators will be identified and possible changes in the financial trends of organizations will be anticipated.

Finally, through specific algorithms, experts will acquire skills to identify patterns of anomalous behavior that may indicate fraudulent activities. In addition, they will evaluate the risks associated with different investments, increasing security and accuracy in decision making.

These capabilities will be essential to ensure transparency and confidence in the financial markets.

In this way, TECH has created a comprehensive and completely online program, which will only require an electronic device with an Internet connection to access the educational resources. This will avoid inconveniences such as moving to a physical space or complying with a fixed schedule. Additionally, it will be based on the revolutionary Relearning methodology, focused on the repetition of essential concepts to ensure an optimal assimilation of the contents.

You will develop skills to predict the financial performance of organizations, improve risk assessment and detect fraud, through the best didactic materials, at the forefront of technology and education”

The  Postgraduate certificate in Fundamental Analysis of Financial Markets with Artificial Intelligence contains the most complete and up-to-date program on the market. The most important features include:

• The development of case studies presented by experts in Artificial Intelligence applied to Stock Exchanges and Financial Markets
• 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 the self-assessment process can be carried out to improve learning
• Its special emphasis on innovative methodologies
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• The availability of access to the contents from any fixed or portable device with an Internet connection

You will delve into methodologies to identify anomalies and suspicious patterns in financial transactions, ensuring greater security and accuracy in decision making. What are you waiting for to enroll?"

The program’s teaching staff includes professionals from the sector who contribute their work experience to this specializing 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 experts in the field of educational coaching with extensive experience.

You will focus on the application of advanced Machine Learning and Deep Learning techniques to model and predict the financial performance of companies, thanks to an extensive library of innovative multimedia resources"

You will improve the assessment of the financial health of companies, quickly identifying key indicators that can affect business performance. With all TECH's quality guarantees!"

The contents will range from the basic concepts of fundamental analysis, such as the interpretation of financial statements and company valuation, to the application of advanced Machine Learning and Deep Learning techniques to predict financial performance. Therefore, algorithms will be used to model historical data, applying Natural Language Processing (NLP) techniques to extract key information from financial reports and detecting fraud or potential risks in transactions through automated systems. In addition, it will include the implementation of case studies and projects that integrate these technologies, facilitating a deep and applied understanding.

The contents of this Postgraduate certificate have been designed to provide you with a complete training in the intersection between finance and Artificial Intelligence”

Module 1. Fundamental Analysis of Financial Markets with AI

1.1. Predictive Financial Performance Modeling with Scikit-Learn

1.1.1. Linear and Logistic Regression for Financial Forecasting with Scikit-Learn
1.1.2. Using Neural Networks with TensorFlow to Forecast Revenues and Earnings
1.1.3. Validating Predictive Models with Cross-Validation Using Scikit-Learn

1.2. Valuation of Companies with Deep Learning

1.2.1. Automating the Discounted Cash Flows (DCF) Model with TensorFlow
1.2.2. Advanced Valuation Models Using PyTorch
1.2.3. Integration and Analysis of Multiple Valuation Models with Pandas

1.3. Analysis of Financial Statements with NLP Using ChatGPT

1.3.1. Extracting Key Information from Annual Reports with ChatGPT
1.3.2. Sentiment Analysis of Analyst Reports and Financial News with ChatGPT
1.3.3. Implementing NLP Models with Chat GPT for Interpreting Financial Texts

1.4. Risk and Credit Analysis with Machine Learning

1.4.1. Credit Scoring Models Using SVM and Decision Trees in Scikit-Learn
1.4.2. Credit Risk Analysis in Corporations and Bonds with TensorFlow
1.4.3. Visualization of Risk Data with Tableau

1.5. Credit Analysis with Scikit-Learn

1.5.1. Implementing Credit Scoring Models
1.5.2. Credit Risk Analysis with RandomForest in Scikit-Learn
1.5.3. Advanced Visualization of Credit Scoring Results with Tableau

1.6. ESG Sustainability Assessment with Data Mining Techniques

1.6.1. ESG Data Mining Methods
1.6.2. ESG Impact Modeling with Regression Techniques
1.6.3. Applications of ESG Analysis in Investment Decisions

1.7. Sector Benchmarking with Artificial Intelligence Using TensorFlow and Power BI

1.7.1. Comparative Analysis of Companies Using AI
1.7.2. Predictive Modeling of Sector Performance with TensorFlow
1.7.3. Implementing Industry Dashboards with Power BI

1.8. Portfolio Management with AI Optimization

1.8.1. Portfolio Optimization
1.8.2. Use of Machine Learning Techniques for Portfolio Optimization with Scikit-Optimize
1.8.3. Implementing and Evaluating the Effectiveness of Algorithms in Portfolio Management

1.9. Financial Fraud Detection with AI Using TensorFlow and Keras

1.9.1. Basic Concepts and Techniques of Fraud Detection with AI
1.9.2. Constructing Neural Network Detection Models in TensorFlow
1.9.3. Practical Implementation of Fraud Detection Systems in Financial Transactions

1.10. Analysis and Modeling in Mergers and Acquisitions with AI

1.10.1. Using Predictive AI Models to Evaluate Mergers and Acquisitions
1.10.2. Simulating Post-Merger Scenarios Using Machine Learning Techniques
1.10.3. Evaluating the Financial Impact of M&A with Intelligent Models

You will gain a competitive advantage in an increasingly technology and automation-driven financial environment by meeting complex challenges and improving your performance in the global financial sector”