Machine Learning and Deep Learning are revolutionizing the finance industry by enabling powerful data-driven decision-making. This course provides finance professionals with a solid understanding of these technologies and their applications in areas like risk assessment, market prediction, and fraud detection. You’ll explore key Machine Learning concepts such as supervised, unsupervised, and reinforcement learning, as well as delve into advanced topics like neural networks and generative AI. By the end of this course, you’ll be equipped to harness the power of AI to streamline processes, uncover insights, and create value for your organization. This knowledge is crucial for staying ahead in an industry increasingly shaped by AI and automation.

Topics Include:

• Machine Learning in Finance
• Introduction to Deep Learning
• Advanced AI in Finance: Innovation and Trends

Disclaimer: Please note that throughout this course, we will be utilizing the free versions of ChatGPT and Claude to support learning activities, demonstrations, and exercises. These tools offer accessible and practical ways to engage with generative AI, but they may have certain limitations compared to their paid counterparts, such as slower response times or limited availability during high-traffic periods. Protection of Proprietary Information. Do not upload, share, or distribute proprietary, confidential, or legally restricted information on publicly available LLMs.

Upon completion of this course, you will:

• Understand core concepts of Machine Learning and Deep Learning
• Learn to leverage machine learning techniques to tackle practical financial challenges, such as predicting market trends and evaluating credit risk.
• Explore the powerful applications of neural networks for tasks such as fraud detection and automated trading strategies.
• Gain knowledge in using generative AI tools for scenario analysis and synthetic data generation, enhancing your capabilities in modern financial analysis.