AI-Powered Finance: Forecasting, Planning & Reporting

This course starts with an introduction to the basics of portfolio analysis, setting a solid foundation for evaluating investment portfolios. It further navigates through a variety of portfolio management strategies, shedding light on their distinct approaches and relevance in diverse financial scenarios.

This course offers detailed insights into the critical aspects of financial management that can significantly impact a business's bottom line. Participants will explore the intricacies of ledger maintenance, discover cutting-edge tax planning strategies, and learn the auditing best practices that safeguard a company's financial integrity. This course is designed for financial officers, accountants, auditors, and finance professionals looking to strengthen their expertise in financial reporting, tax planning, and auditing. Whether you're aiming to advance your career, ensure compliance, or contribute to organizational success, this program provides tailored insights and practical skills to meet your professional objectives. Pre-requisites for this course include a basic understanding of financial principles and terminology. Familiarity with accounting concepts and financial reporting fundamentals will provide a solid foundation for engaging with the course content effectively. This course is a unique opportunity to master the skills necessary for optimizing financial operations, ensuring compliance, and enhancing profitability. Takeaways include actionable strategies for improving ledger accuracy, effective tax optimization techniques, and a thorough understanding of auditing standards to uphold financial reliability and compliance.

Have you ever wondered how financial analysts streamline complex data management tasks with ease? This short course empowers intermediate-level technical users to achieve proficiency in using Oracle EPM for effective financial data management and analysis. Oracle EPM is the full suite of tools that includes what used to be known as Oracle Hyperion. This is a comprehensive suite of tools to address your financial planning and forecasting needs. By completing this course, you'll be able to confidently set up and configure Oracle EPM, manage and analyze financial data, and troubleshoot common issues, applying these skills immediately to enhance your daily tasks at work. LO1: Apply Oracle EPM forecasting and financial planning features in real-world business scenarios. LO2: Relate Oracle EPM features to your organization's specific forecasting and financial needs to improve your financial management processes. In this course, you will explore the Oracle EPM Suite to enhance your financial planning and management skills. You will discover key Oracle EPM products such as Planning, Enterprise Data Management, Narrative Reporting, Freeform, and Essbase, as well as additional solutions like Profitability & Cost Management, FCCS, AR, and TR. Learn how these tools support annual budgeting, monthly forecasting, and year-end processes. This course is unique because it offers a hands-on, technical approach to applying Oracle EPM, focusing on real-world applications and practical skills that can be directly applied in a professional setting. Prerequisites: A non-technical course for financial analysts, accountants, and IT pros new to Oracle EPM, focusing on financial data management. System access is not required.

This course offers a practical exploration of Generative AI (GEN AI) and its transformative applications in financial data analysis. By examining real-world use cases and utilizing AI tools like Microsoft Co-Pilot, ChatGPT, Datarobot, and Chartpixel, participants will learn to extract actionable insights from financial datasets. The course emphasizes hands-on learning, enabling learners to build custom AI solutions using open-source models while adhering to ethical considerations. This course is designed to take learners with a basic understanding of financial data and AI concepts to the next level, focusing on practical applications of Generative AI (GEN AI) in financial data analysis. You’ll dive deep into specific use cases, learning how to use AI tools to extract actionable insights from financial data. We’ll demonstrate AI tools in action, showing how to optimize financial strategies through data analysis, all while highlighting the best practices to maximize GEN AI’s potential in finance. Learners should have a basic understanding of financial analysis and AI/machine learning concepts, as well as familiarity with data handling and statistical methods. By the end of this course, learners will be able to use GenAI tools to extract actionable insights from large datasets, optimize data-driven decision making and develop innovate solutions for complex data challenges.

Are you aware that generative AI is rapidly reshaping the financial services landscape? This groundbreaking technology is transforming how we analyze markets, manage risks, and tailor financial products, opening up unprecedented avenues for efficiency and innovation in the finance sector. We've designed this concise course to equip finance professionals and business leaders with a solid understanding of generative AI's fundamentals and its potential in the financial industry. Whether you're in banking, investment management, insurance, or fintech, this course will provide you with the knowledge to harness AI in your financial operations. Upon completing this course, you'll be equipped to spot strategic opportunities for AI implementation in your financial processes, utilize basic AI tools for financial modeling and investment strategy personalization, and formulate plans to incorporate AI into your existing workflows, enhancing risk management and decision-making. By the end of this 3-hour course, you will be able to: LO1: Evaluate the capabilities and applications of generative AI to identify strategic opportunities in various financial contexts. LO2: Apply basic generative AI tools to create simple financial models and personalize investment strategies. LO3: Analyze the potential impact of generative AI on existing financial workflows to develop integration plans that enhance risk management and decision-making processes. What sets this course apart is its beginner-friendly approach to generative AI in finance, featuring practical examples and hands-on experience with popular AI tools. You'll gain insights into not just the "what" and "why" of AI in finance, but also the practical "how" to implement it in your daily operations.

This course introduces financial professionals to the transformative power of Generative AI (GEN AI) in forecasting and planning. You will learn how to leverage AI-driven tools to streamline processes, improve accuracy, and optimize strategic decision-making. By the end of the course, you’ll be able to automate financial predictions and validate assumptions, enabling faster and more precise financial forecasting. This course is not just about AI theory—it’s about practical tools that will immediately impact your ability to forecast and plan with greater precision and speed. This course is designed for financial analysts, planners, and data scientists with basic knowledge of finance and AI, who are looking to enhance their forecasting capabilities with GEN AI tools. Learners should have a foundational understanding of financial forecasting and basic familiarity with AI concepts and data analysis techniques. By the end of this course, learners will be able to use AI-driven insights to validate assumptions, analyze market trends, and develop strategic solutions leading to more informed and data-driven decision-making.

This course is designed to transform how you approach financial reporting tasks, making them faster, more efficient, and more accurate with the power of Generative AI and Large Language Models (LLMs). Through hands-on projects and expert instruction, you’ll learn to create AI-driven solutions that automate complex processes, from generating Accounts Receivable reports to building advanced financial consultants. By the end of this course, you’ll be equipped to modernize your reporting workflows, staying ahead in a rapidly evolving finance landscape. This course is tailored for finance and accounting professionals, data analysts, and technology leaders in the financial sector. Whether you're seeking to enhance reporting efficiency, streamline data analysis, or stay ahead in leveraging AI-driven tools, this course provides the foundational and practical expertise to elevate your role and impact in the finance industry. To maximize your learning in this course, a basic proficiency in using computers is recommended. No prior experience with Generative AI or advanced technical skills is necessary—just a strong interest in transforming financial reporting through innovative technology. Note: You may need access to both ChatGPT Pro and Gemini Advanced to utilize specialised features or capabilities that mimic the processes or demonstrated outputs. Without them, exact replication of the instructor's actions may not be possible. By the end of this course, you’ll be able to apply key Generative AI concepts and tools in financial reporting tasks, develop AI-powered tools for automation, and master prompt engineering tailored for financial contexts. You’ll also understand how to enhance financial analyses, detect anomalies, and integrate AI solutions effectively into existing workflows for more accurate and insightful reporting.

In this course, "GenAI for Financial Insights and Analysis with QUILL," you'll learn how to harness generative AI to turn these complex datasets into actionable insights. Whether you’re deciphering earnings call sentiment or analyzing historical financials, this course equips you with the tools and knowledge to make data-driven decisions faster and more accurately. "GenAI for Financial Insights and Analysis with QUILL" is a cutting-edge course designed to empower financial professionals, investors, and analysts with the skills to harness the power of generative AI for deep financial analysis. Using QUILL, a state-of-the-art AI platform, you'll learn to unlock valuable insights from vast amounts of financial data quickly and accurately. Consider the recent case of a hedge fund that implemented QUILL's AI-driven analysis on a series of tech company earnings calls. Within hours, they uncovered a subtle shift in management's language that signalled an upcoming product launch, allowing them to make a strategic investment decision ahead of the market. Hearing about this left me both fascinated and inspired—it's a perfect example of how AI can provide an edge in a highly competitive market. The key takeaway here is that AI doesn’t just speed up analysis; it uncovers insights that may not be immediately visible, ultimately empowering decision-makers with timely, actionable information. This course blends foundational principles of financial analysis with hands-on techniques in AI-driven data extraction and interpretation. Learners will explore the basics of generative AI, delve into QUILL's powerful features, and discover advanced strategies for leveraging AI in financial decision-making. This course is designed for professionals and students with an interest in integrating artificial intelligence (AI) into financial analysis. It caters to financial analysts, investment professionals, portfolio managers, equity researchers, financial advisors, and corporate finance professionals. Additionally, MBA students specializing in finance and corporate researchers, as well as AI enthusiasts eager to explore its applications in finance, will find this course valuable for enhancing their analytical capabilities. To get the most out of this course, participants should have a basic understanding of financial statements and key financial analysis concepts, such as balance sheets, income statements, and cash flow statements. Familiarity with common financial metrics and terminology, along with basic knowledge of AI and machine learning concepts like natural language processing and predictive modeling, will also be beneficial. Experience with data analysis tools such as Excel, Python, or R is helpful but not required. By the end of this course, participants will be able to demonstrate an understanding of generative AI fundamentals and how they can be applied to financial analysis using QUILL. They will learn techniques for extracting and analyzing key information from financial filings and historical data with AI capabilities. Furthermore, they will evaluate AI-generated insights from earnings calls to enhance decision-making and design strategies to integrate QUILL’s AI features into comprehensive financial analysis workflows.

In this course, you will take on a practical journey into how GenAI transforms financial forecasting, portfolio optimization, risk management, and reporting automation. You’ll explore how top institutions like investment banks, hedge funds, and fintech innovators are already integrating GenAI into their workflows—and you’ll gain the hands-on skills to do the same. Whether you want to forecast market trends more accurately, automate reporting tasks, or uncover insights hidden in massive datasets, this course equips you with the essential AI tools to upgrade your financial analysis game. This course is designed for financial analysts, data analysts, finance professionals, and business intelligence specialists who want to enhance their analytical capabilities using Generative AI. If you’re someone who works with financial data—whether you’re forecasting market trends, managing investment portfolios, preparing financial reports, or assessing risk—this course will show you how AI-powered tools can make your processes faster, smarter, and more accurate. You don’t need to be a machine learning expert; if you’re comfortable with Excel, Python basics, and financial analysis concepts, you’re ready to dive in and start applying GenAI to your financial workflows. To make the most of this course, you’ll need a basic understanding of financial analysis—including reading financial statements, analyzing market data, and understanding key financial metrics. You should also have hands-on experience with Excel, especially working with pivot tables, basic formulas, and data cleaning. Since we’ll be building and testing predictive models, some familiarity with Python is recommended, particularly libraries like pandas and matplotlib for data handling and visualization. Lastly, if you’ve worked with data visualization tools like Power BI or Tableau, that’s a bonus—but not strictly required. If you’re comfortable working with financial data and basic coding, you’re all set to dive into the world of GenAI-powered finance. By the end of this course, you’ll have a clear understanding of how to apply Generative AI in financial analysis, from building predictive models and automating financial reports to conducting risk assessments and optimizing portfolios. You won’t just learn theory—you’ll gain hands-on experience using real financial data and GenAI tools, giving you practical skills you can apply immediately in your work. As financial analysis evolves, the ability to work alongside AI will set you apart as a forward-thinking, tech-savvy financial professional. This is your first step toward becoming an AI-powered analyst—ready to lead in the future of finance.

In this course, we’ll break down complex financial strategies using simple, practical insights. No advanced tech skills or CFA charter required! You’ll discover how Generative AI can: 1. Help you ask better questions when creating an Investment Policy Statement (IPS). 2. Simplify Strategic Asset Allocation (SAA) by matching risk-return objectives with asset choices. 3. Identify low-correlation assets for smarter diversification and reduced risk. 4. Assist in portfolio monitoring and rebalancing with real-time data insights. Learn not only how to use GenAI but also the ethical practices to build trust and compliance in portfolio management. Why GenAI for Portfolio Management? Investment firms are already using AI-driven tools for better risk management, asset allocation, and client profiling. If you’re not exploring this yet, you’re missing a critical edge. To get the most out of this course, learners should have a foundational understanding of portfolio management concepts and the need for investment analysis. While no programming skills are required, a basic ability to interact with AI tools like ChatGPT will be beneficial. If you’ve ever used a chatbot or typed a prompt to get financial insights, you’re already on the right track. This course is designed for professionals and learners across the financial ecosystem. Whether you're a portfolio manager, investment advisor, finance professional, or an educator or student eager to explore the intersection of AI and investing, this course will give you the tools to bring AI-driven insights into your portfolio strategies. It’s especially valuable for those looking to stay ahead of industry trends and enhance decision-making with emerging technologies. By the end of the course, learners will be able to harness Generative AI to improve every stage of the portfolio management process. You’ll learn to craft customized Investment Policy Statements (IPS), develop strategic asset allocations aligned with client objectives, and apply AI tools to identify low-correlation assets for better diversification. Additionally, you’ll master the use of GenAI to monitor portfolios in real-time and rebalance them as market conditions evolve—all while maintaining ethical and client-centric practices.