Strategic Financial Analysis through AI

Available Dates

Dec-09-2024

Paris
Jan-13-2025

Paris
Feb-10-2025

Paris
Mar-10-2025

Paris
Apr-14-2025

Paris
May-12-2025

Paris
June-09-2025

Paris
July-14-2025

Paris
Aug-11-2025

Paris
Sep-08-2025

Paris
Oct-13-2025

Paris
Nov-10-2025

Paris
Dec-08-2025

Paris

Dates in Other Venues

Nov-25-2024

Barcelona
Nov-25-2024

Dubai
Dec-02-2024

Kuala Lumpur
Dec-02-2024

Istanbul
Dec-09-2024

Singapore
Dec-16-2024

London
Dec-16-2024

Amsterdam
Dec-23-2024

Dubai
Dec-30-2024

Istanbul
Dec-30-2024

Barcelona
Dec-30-2024

Kuala Lumpur
Jan-06-2025

Istanbul
Jan-06-2025

Kuala Lumpur
Jan-13-2025

Singapore
Jan-20-2025

Amsterdam
Jan-20-2025

London
Jan-27-2025

Barcelona
Jan-27-2025

Dubai
Feb-03-2025

Istanbul
Feb-03-2025

Kuala Lumpur
Feb-10-2025

Singapore
Feb-17-2025

Amsterdam
Feb-17-2025

London
Feb-24-2025

Dubai
Feb-24-2025

Barcelona
Mar-03-2025

Kuala Lumpur
Mar-03-2025

Istanbul
Mar-10-2025

Singapore
Mar-17-2025

London
Mar-17-2025

Amsterdam
Mar-24-2025

Barcelona
Mar-24-2025

Dubai
Apr-07-2025

Kuala Lumpur
Apr-07-2025

Istanbul
Apr-14-2025

Singapore
Apr-21-2025

Amsterdam
Apr-21-2025

London
Apr-28-2025

Barcelona
Apr-28-2025

Dubai
May-05-2025

Kuala Lumpur
May-05-2025

Istanbul
May-12-2025

Singapore
May-19-2025

London
May-19-2025

Amsterdam
May-26-2025

Dubai
May-26-2025

Barcelona
June-02-2025

Kuala Lumpur
June-02-2025

Istanbul
June-09-2025

Singapore
June-16-2025

Amsterdam
June-16-2025

London
June-23-2025

Dubai
June-30-2025

Istanbul
June-30-2025

Kuala Lumpur
June-30-2025

Barcelona
July-07-2025

Kuala Lumpur
July-07-2025

Istanbul
July-14-2025

Singapore
July-21-2025

London
July-21-2025

Amsterdam
July-28-2025

Barcelona
July-28-2025

Dubai
Aug-04-2025

Istanbul
Aug-04-2025

Kuala Lumpur
Aug-11-2025

Singapore
Aug-18-2025

London
Aug-18-2025

Amsterdam
Aug-25-2025

Dubai
Aug-25-2025

Barcelona
Sep-01-2025

Istanbul
Sep-01-2025

Kuala Lumpur
Sep-08-2025

Singapore
Sep-15-2025

London
Sep-15-2025

Amsterdam
Sep-22-2025

Dubai
Sep-29-2025

Istanbul
Sep-29-2025

Barcelona
Sep-29-2025

Kuala Lumpur
Oct-06-2025

Istanbul
Oct-06-2025

Kuala Lumpur
Oct-13-2025

Singapore
Oct-20-2025

Amsterdam
Oct-20-2025

London
Oct-27-2025

Barcelona
Oct-27-2025

Dubai
Nov-03-2025

Istanbul
Nov-03-2025

Kuala Lumpur
Nov-10-2025

Singapore
Nov-17-2025

Amsterdam
Nov-17-2025

London
Nov-24-2025

Dubai
Nov-24-2025

Barcelona
Dec-01-2025

Kuala Lumpur
Dec-01-2025

Istanbul
Dec-08-2025

Singapore
Dec-15-2025

London
Dec-15-2025

Amsterdam
Dec-22-2025

Dubai
Dec-29-2025

Istanbul
Dec-29-2025

Barcelona
Dec-29-2025

Kuala Lumpur

Course Details

Artificial intelligence is revolutionizing the finance industry by providing innovative solutions for data analysis, risk assessment, and decision-making processes. With the ability to process vast amounts of data quickly and accurately, AI technologies are transforming how financial institutions operate, offering new insights into market trends and consumer behavior. The integration of AI tools such as machine learning models and deep learning networks enables more precise financial forecasting and enhances fraud detection capabilities.

The Strategic Financial Analysis through AI training course provides participants with a comprehensive understanding of these cutting-edge technologies and their applications in the financial sector. Over five days, the course covers the fundamentals of AI, including Python programming for financial analysis and exploratory data analysis techniques.

Participants will delve into machine learning and deep learning models, applying them to real-world financial challenges. The course also introduces the use of large language models (LLMs) and generative AI for financial content generation and analysis.

Upon completion of this course, attendees will be able to:

Understand the core principles of AI and machine learning as they apply to finance.
Utilize Python and other tools to analyze financial data and develop predictive models.
Perform exploratory data analysis (EDA) using Python and essential libraries, such as Pandas, Matplotlib, and NumPy.
Implement various machine learning techniques, such as regression, classification, and clustering, to solve real-world financial problems.
Develop deep learning models for complex financial tasks, like credit scoring and fraud detection.
Grasp the fundamentals and applications of large language models (LLMs) and generative Ai in finance
Evaluate and interpret model outputs to make informed financial decisions.
Understand ethical considerations and manage biases in AI applications in finance.

This course is tailored for professionals and enthusiasts who want to explore the transformative impact of AI on the financial industry and enhance their skills in leveraging advanced technologies for financial analysis and decision-making:

Financial Analysts and Portfolio Managers
Data Scientists and Analysts in Finance
Risk Managers and Compliance Officers
FinTech Entrepreneurs and Innovators
IT Professionals in Financial Services
Students and Academics interested in finance and technology
Any professional curious about the intersection of AI and finance

Our courses in Paris are held at the LPC office located at:

75 BD Haussmann ,75 Boulevard Haussmann, Paris, 75008

Once you register, we will subsequently send you the course details, including the location, trainer, and other logistical information.

Pay Attention, Please! The course location at our offices is subject to availability. Should our office be unavailable, we will secure an alternative nearby venue and promptly inform you of the change. The exact time and location will be confirmed one week prior to the course commencement.

Course Outline

5 days course

Day 1

Day 2

Day 3

Day 4

Day 5

Introduction to AI in Finance

Overview of AI in Financial Markets: Understanding the Impact and Evolution of AI in the Finance Industry
Key Areas: Understanding key areas where we can apply AI in the finance industry
AI Tools & Technologies: Exploring tools and technologies for driving financial services.
Challenges and Opportunities in Financial AI: Navigating data privacy, accuracy, and ethical issues.
Case Studies: Examples of successful AI integration in financial systems.

Python Basics & Data Exploration

Introduction to Python for Finance: Basics of Python programming focused on financial applications.
Exploratory Data Analysis (EDA): Techniques using Python to visualize and analyze financial datasets.
Python Libraries for Financial Analysis: Introduction to libraries like Pandas, NumPy, and Matplotlib.
Workshop: Hands-on session where participants use Python to perform EDA on a provided financial dataset.
Discussion: Best practices for data handling and analysis in finance.

Machine Learning Models & Applications

Introduction to Machine Learning Models: Exploring ML Algorithms.
Hands-On Workshop: Building a machine learning model to predict financial trends (e.g., stock prices or market movements).
Model Evaluation and Validation: Techniques to test model accuracy and prevent overfitting.
Real-Time Example: Applying standard ML models to a current financial problem, analyzing the outcomes and strategies.
Q&A session: discussing the applications and limitations of standard ML models in finance.

Advanced ML with Deep Learning

Understanding Deep Learning Concepts
Deep Learning Applications in Finance: Using CNNs and RNNs for more complex financial modelling such as credit scoring and fraud detection.
Hands-on Exercise: Participants develop a deep learning model to analyze high-dimensional financial data.
Case Study Discussion: Detailed review of a real-time application of complex ML in finance.
Deployment: Discussing how to integrate AI models in finance systems.

Introduction to LLM & Generative AI

Basics of Large Language Models and Generative AI: Understanding the fundamentals and the power of LLMs and generative AI in finance.
Applications in Financial Content Generation and Analysis: How LLMs can be used for generating financial reports, analyzing earnings calls, and more.
Hands-On Workshop: Using an open-source LLM to generate insights from financial texts.
Discussion on Future Trends: Exploring the evolving role of LLMs and generative AI in financial strategies.
Final Recap and Participant Presentations: Review of the course content with a session for participants to present their findings and discuss their learning experience.

Strategic Financial Analysis through AI

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