Through this 100% online Postgraduate certificate, you will use Artificial Intelligence to identify unusual patterns in transactions that could indicate financial risks or fraud” 

A recent report by the World Economic Forum predicts that Artificial Intelligence could increase productivity in the financial sector by 40% in the coming years.  In this sense, the implementation of automated solutions significantly improves the quality of financial analysis, allowing companies to adapt quickly to a constantly changing economic environment. Faced with this situation, professionals need to adopt Artificial Intelligence as a tool to help them to improve the quality of their financial analysis.

In this context, TECH launches a pioneering program in Automation of Financial Department Processes with Artificial Intelligence. Conceived by references in this field, the academic itinerary will delve into aspects ranging from the automatic processing of invoices with Kofax or the use of predictive models for efficient cash management to inventory automation with Predictive Analytics. The agenda will also analyze the keys to integrating chatbots in Customer Relationship Management platforms, which will allow students to offer immediate customer service to improve their satisfaction.

It is worth noting that this university program becomes more dynamic thanks to the multimedia pills and the wide variety of didactic resources offered by TECH (such as specialized readings, interactive summaries or case studies). It also employs its revolutionary Relearning methodology so that students enjoy progressive and natural learning. In this sense, the only thing graduates will need is an electronic device with Internet access to enter the Virtual Campus and enjoy the most complete didactic materials on the academic market. Undoubtedly, an immersive experience that will allow experts to broaden their professional horizons significantly.

You will have all the support of TECH, the largest online academic institution in the world with the latest educational technology at your disposal"

This Postgraduate certificate in Automation of Financial Department Processes with Artificial Intelligence contains the most complete and up-to-date 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 dive into the creation of automated financial reports with Power BI” 

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 use Deep Learning models to simulate different economic scenarios? Achieve it through this university program in just 6 weeks"

You will have access to a learning system based on repetition, with natural and progressive teaching throughout the entire syllabus"

The didactic materials that make up this program have been designed by experts in Automation of Financial Department Processes with Artificial Intelligence. The syllabus will delve into issues such as the robotization of financial processes, the application of Machine Learning techniques for the classification of invoices or the implementation of automatic payment systems with Stripe Radar. At the same time, the syllabus will provide students with the keys to carry out cash flow management with Deep Learning and TensorFlow. Therefore, students will acquire advanced skills to lead automation projects in the financial sector.

You will use predictive models and data analysis to significantly optimize strategic decision making in the Finance Department”

 Module 1. Automation of Financial Department Processes with Artificial Intelligence

1.1. Automation of Financial Processes with AI Intelligence and Robotic Process Automation (RPA)

1.1.1. AI and RPA for Process Automation and Robotization
1.1.2. RPA Platforms for Financial Processes: UiPath, Blue Prism, and Automation Anywhere
1.1.3. Evaluation of RPA Use Cases in Finance and Expected ROI

1.2. Automated Invoice Processing with AI with Kofax

1.2.1. Configuration of AI Solutions for Invoice Processing with Kofax
1.2.2. Application of Machine Learning Techniques for Invoice Classification
1.2.3. Automation of the Accounts Payable Cycle with AI Technologies

1.3. Payment Automation with AI Platforms

1.3.1. Implementing Automated Payment Systems with Stripe Radar and AI
1.3.2. Use of Predictive AI Models for Efficient Cash Management
1.3.3. Security in Automated Payment Systems: Fraud Prevention with AI

1.4. Bank Reconciliation with AI and Machine Learning

1.4.1. Automation of Bank Reconciliation Using AI with Platforms Such as Xero
1.4.2. Implementation of Machine Learning Algorithms to Improve Accuracy
1.4.3. Case Studies: Efficiency Improvements and Error Reduction

1.5. Cash Flow Management with Deep Learning and TensorFlow

1.5.1. Predictive Cash Flow Modeling with LSTM Networks Using TensorFlow
1.5.2. Implementation of LSTM Models in Python for Financial Forecasting
1.5.3. Integration of Predictive Models in Financial Planning Tools

1.6. Inventory Automation with Predictive Analytics

1.6.1. Use of Predictive Techniques to Optimize Inventory Management
1.6.2. Apply Predictive Models with Microsoft Azure Machine Learning
1.6.3. Integration of Inventory Management Systems with ERP

1.7. Creation of Automated Financial Reports with Power BI

1.7.1. Automation of Financial Reporting using Power BI
1.7.2. Developing Dynamic Dashboards for Real-Time Financial Analysis
1.7.3. Case Studies of Improvements in Financial Decision Making with Automated Reports

1.8. Purchasing Optimization with IBM Watson

1.8.1. Predictive Analytics for Purchasing Optimization with IBM Watson
1.8.2. AI Models for Negotiations and Pricing
1.8.3. Integration of AI Recommendations in Purchasing Platforms

1.9. Customer Support with Financial Chatbots and Google DialogFlow

1.9.1. Implementing Financial Chatbots with Google Dialogflow
1.9.2. Integration of Chatbots in CRM Platforms for Financial Support
1.9.3. Continuous Improvement of Chatbots Based on User Feedback

1.10. AI-Assisted Financial Auditing

1.10.1. IA Applications in Internal Audits: Transaction Analysis
1.10.2. Implementation of IA for Compliance Auditing and Discrepancy Detection
1.10.3. Improvement of Audit Efficiency with IA Technologies

You will have unrestricted access to all the contents of the Virtual Campus and you will be able to download them to consult them whenever you want. Enroll now!”