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AI-Powered Financial Analysis
Course
AI-Powered Financial Analysis
Accelerate financial research with AI tools that turn filings, transcripts, and market data into faster, structured insights.
Flexible Schedule
Intermediate Level
Mentor Support
Estimated Time
30 hours
The AI-Powered Financial Analysis course provides a structured pathway for financial analysts seeking to integrate generative AI into their research, analysis, and reporting workflows. In today's financial environment, analysts must process large volumes of filings, transcripts, market intelligence, and portfolio data while maintaining rigorous verification and compliance standards. This course is designed for financial professionals looking to equip themselves with practical AI skills that can be applied directly to everyday analytical tasks.
In this course, you'll learn how to apply structured prompting techniques to tasks such as summarizing company information, extracting key metrics from regulatory filings, and generating plain-language interpretations of income statements, balance sheets, and cash flows. You'll also explore how AI can accelerate earnings transcript analysis and help synthesize insights from research reports, filings, and market news.
As you progress, the course introduces applied research workflows, including structuring equity research notes, generating valuation commentary, and supporting credit analysis through covenant extraction, credit memo comparison, and issuer surveillance summaries. You'll also learn how to synthesize insights from alternative data sources and identify cross-sector themes to support thematic research.
The course further covers AI-assisted internal reporting, stakeholder communication, and prompt library design for recurring analytical tasks. Advanced modules introduce senior-level practices such as client-facing research content generation, portfolio analytics, and governance and compliance considerations in AI-assisted financial research.
By the end of the course, you'll be able to apply generative AI across financial research, document analysis, credit evaluation, and reporting workflows while maintaining structured review processes and documented AI workflows for consistent analytical practice.
This course comprises 15 purposely designed modules that take you on a carefully defined learning journey.
Our proven learning methodology combines self-paced learning, mentor-supported hands-on practice, and additional learning exercises to help you build the deep technical and practical understanding today's employers are looking for.
You will get the opportunity to earn recognized certifications which will help your resume and LinkedIn profile stand out.
The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include videos, reading material, hands-on labs, activities, and online exam questions.
As part of our mentoring service, you will have access to valuable guidance and support throughout the course. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues.
Once you have successfully completed the course, you will earn your Certificate of Completion.
By the end of this course, you will be able to:
- Use AI tools for financial analysis and research workflows.
- Analyze financial statements, earnings calls, and market data using AI.
- Create AI-assisted research reports and portfolio insights.
- Build prompt libraries and no-code AI workflows.
- Generate client-ready financial content using AI tools.
- Apply AI governance, compliance, and validation practices in finance.
- Financial Analysts
- Senior Financial Analysts
- Portfolio Managers
- Equity and Credit Research Professionals
- Investment Professionals seeking AI-powered finance skills
- Completion of the Generative AI Essentials course, or equivalent experience
- Basic understanding of financial analysis principles
- Familiarity with financial reports and business workflows
- No coding or technical background required
Course Outline
Reading: Course Overview
Reading: How to Make the Most of This Course
Reading: Grading Scheme
Reading: AI Foundations for Financial Analysis
Reading: Overview of Approved AI Tools
Video: Approved AI Tools in Action
Reading: The Four-Part Prompt Framework: Role, Task, Context, Format
Video: Applying the Four-Part Prompt Framework
Reading: Common First-Use Mistakes and How to Avoid Them
Handout: Avoiding Common First-Use Mistakes: Quick Reference Guide
Activity: Spot the First-Use Mistake
Reading: Understanding AI Output Limitations
Practice Quiz: Getting Started: AI for Financial Analysis
Reading: Lab Overview: Create an AI-Assisted Analyst Brief
Graded Hands-on Lab: Summarize a Company Overview and Sector Briefing Using AI
Graded Quiz: Getting Started: AI for Financial Analysis
Reading: Understanding 10-K and 10-Q Filings
Activity: KPI Extraction Review Desk
Reading: Plain-Language Summaries of Financial Statements
Practice Hands-on Lab: Building Plain-Language Financial Statement Summaries
Reading: Identifying Revenue Drivers, Cost Trends, and Margin Movements
Video: AI-Assisted Revenue, Cost, and Margin Analysis
Practice Quiz: AI for Financial Statement Reading & KPI Extraction
Reading: Comparing Financial Statements Side-by-Side with AI
Graded Hands-on Lab: Side-by-Side Financial Statement Comparison
Reading: Quality-Checking AI Extractions Against Source Filings
Video: Validating AI-Generated Financial Analysis
Module Graded Quiz: AI for Financial Statement Reading & KPI Extraction
Reading: Summarizing Earnings Call Transcripts with AI
Reading: Extracting Guidance Revisions, Tone Shifts, and Q&A Themes
Video: Extracting Earnings Call Insights with AI
Activity: Mission: Find the Real Signal
Reading: Identifying Quarter-Over-Quarter Changes in Language
Practice Quiz: Earnings Intelligence and Transcript Analysis
Reading: Reusable Prompt Templates for Earnings Reviews
Practice Hands-On Lab: Building a Reusable Earnings Review Prompt Template
Reading: AI-Generated Versus Manual Earnings Summaries
Graded Hands-On Lab: Comparing AI-Generated Earnings Summaries
Graded Quiz: Earnings Intelligence and Transcript Analysis
Reading: AI-Connected Search for Macro and Sector Analysis
Video: Real-Time Market Intelligence Summarization with AI
Handout: Process Guide: Real-Time Market Intelligence Summarization with AI
Reading: AI-Assisted Research Synthesis
Activity: Theme Detection Crossword
Reading: Creating a Market Intelligence Digest
Practice Hands-on Lab: Creating a Market Intelligence Digest
Reading: Building Source-Backed Sector Narratives
Practice Quiz: Market and Sector Intelligence with AI
Reading: Evaluating AI-Generated Market Content
Graded Hands-on Lab: Evaluating AI-Generated Market Content
Graded Quiz: Market and Sector Intelligence with AI
Video: Spreadsheet Trend Analysis with AI
Reading: AI-Powered Trend and Variance Analysis
Handout: Sample Trend and Variance Analysis
Video: Detecting Outliers and Patterns Using Conversational AI
Reading: Conversational AI for Outlier and Pattern Identification
Activity: Uncover Trends and Outliers with AI
Video: Formula Analysis and Commentary Using Copilot
Reading: Spreadsheet Formula Analysis and Commentary with Copilot
Reading: Generate Insights from Charts and Data
Graded Hands-on Lab: Generate Chart Insights and Data Narrative
Reading: No-Code AI: Limits and Escalation
Practice Quiz: Data Interpretation Without Code
Graded Quiz: Data Interpretation Without Code
Reading: What You've Achieved
Reading: Applied Research and Analysis Workflows
Reading: Building AI-Assisted Equity Research Outlines
Video: Creating Equity Research Report Structures with AI
Podcast: AI-Powered Competitive Positioning Analysis
Reading: AI-Assisted Valuation Commentary
Graded Hands-on Lab: Create AI-Assisted Valuation Commentary
Reading: AI-Assisted Management Q&A Preparation
Practice Quiz: AI-Driven Equity Research Workflows
Reading: Research Governance and AI Review Controls
Grade Quiz: AI-Driven Equity Research Workflows
Reading: AI-Assisted Covenant Extraction & Credit Memo Comparison
Handout: Sample Covenant Extraction & Credit Memo Comparison
Reading: Identifying Narrative vs. Financial Data Inconsistencies
Practice Hands-on-Lab: Identifying Narrative vs. Financial Data Inconsistencies
Video: Core Fixed-Income Concepts for Credit Analysis
Reading: Summarizing Issuer Surveillance and Rating Commentary with AI
Practice Quiz: Credit Analysis and Fixed Income Intelligence
Reading: Drafting Credit Watch Notes and Risk Summaries
Graded Hands-on Lab: Drafting Credit Watch Notes and Risk Summaries
Reading: Escalation Protocols for AI-Flagged Credit Deterioration
Interactivity: When Does an AI Alert Become an Escalation
Module Graded Quiz: Credit Analysis and Fixed Income Intelligence
Reading: Synthesizing Alternative Data for Early Insights
Activity: Build the AI Synthesis Workflow
Video: Cross-Sector Thematic Research with AI
Reading: AI-Assisted Sector Narratives
Practice Quiz: Alternative Data and Thematic Research with AI
Reading: Building a Thematic Prompt Library
Graded Hands-on Lab: Building a Recurring Thematic Research Prompt Library
Reading: Quality and Recency Controls for AI Research
Graded Quiz: Alternative Data and Thematic Research with AI
Reading: Creating Stakeholder Briefings with AI
Video: Drafting Internal Briefing Notes with AI
Reading: Adapting AI Outputs for Audiences
Reading: Creating Recurring Reports from Structured Data
Graded Hands-on-lab: Creating Recurring Reports from Structured Data
Practice Quiz: Internal Reporting and Stakeholder Communication
Reading: AI-Assisted Meeting Preparation
Podcast: AI in Meeting Preparation
Reading: Compliance Checkpoints for AI-Drafted Communications
Graded Quiz: Internal Reporting and Stakeholder Communication
Reading: Prompt Library Design and Maintenance
Video: Building Prompt Libraries with AI
Reading: Naming Conventions, Tagging, and Update Protocols
Handout: Sample Prompt Library Entries
Activity: Conducting a Prompt Library Review
Reading: A/B Testing for Comparing Prompt Versions
Graded Hands-On Lab: Evaluating Prompt Versions with Lightweight A/B Testing
Practice Quiz: Prompt Library Design and Workflow Documentation
Reading: AI Workflows for Replication and Audit
Reading: Setting Quality Gates for Mandatory Review
Graded Quiz: Prompt Library Design and Workflow
Reading: What You've Achieved
Reading: Advanced Strategy, Governance, and Senior Practice
Reading: AI-Drafted Investor Updates, Trade Ideas, Morning Notes, and Client Letters in Action
Video: AI-Drafted Investor Updates, Trade Ideas, Morning Notes, and Client Letters in Action
Reading: How Senior Analysts Direct AI Tone, Framing, and Accuracy
Podcast: Inside the Senior Review: A Conversation on Client-Ready AI Content
Reading: Drafting an AI-Assisted RFP Response with Compliance Pre-Clearance
Practice Hands-on Lab: Drafting and Pre-Clearing an RFP Response with AI
Practice Quiz: Client-Facing Content Generation and Senior Review
Reading: Building Roadshow Decks and Investor Letters from AI-Assisted Outlines
Handout: Prompt Reference: Roadshow Decks and Investor Letters
Reading: Required Disclosures and Attribution for AI-Assisted Client Content
Graded Hands on Lab: Reviewing AI-Assisted Content for Disclosure and Attribution
Graded Quiz: Client-Facing Content Generation and Senior Review
Reading: From Portfolio Export to AI-Assisted Commentary
Practice Hands on Lab: From Portfolio Export to AI-Assisted Commentary
Video: Prompting GenAI for Portfolio Stress Behavior
Reading: From Portfolio Output to AI-Assisted Slides
Practice Hands-On Lab: Automating Portfolio Review Presentations
Practice Quiz: Portfolio Analytics & Senior-Level AI Workflows
Reading: Directing AI Analysis for Investment Committees
Activity: Build the Committee Review Workflow
Reading: Setting Quality Gates for AI Output
Graded Hands-on Lab: Designing a Repeatable Portfolio Reporting Process
Module Graded Quiz: Portfolio Analytics and Senior-Level AI Workflows
Reading: The MNPI Prompt Rule and How Both Analyst Levels Enforce It
Video: MNPI and AI Prompts: A Real-World Example
Reading: Attribution Requirements Under the Independence Obligation
Reading: Understanding Chinese Walls and Risks in AI-Assisted Research and Deal-Adjacent Workflows
Video: Chinese Wall Risk in Practice: An AI-Assisted Research Example
Reading: How SEC, FINRA, and MiFID II Guidance Applies to AI Research
Reading: What Goes in the Audit Trail: A Shared Duty for Both Analyst Levels
Practice Quiz: AI Ethics, Information Barriers, and Regulatory Compliance
Activity: Spot the Compliance Issue: An AI Research Scenario
Graded Quiz: AI Ethics, Information Barriers, and Regulatory Compliance
Reading: AI Vision for Financial Analysis
Practice Hands-on-Lab: Extracting Insights from Financial Visuals
Video: Summarizing Financial Calls and Briefings
Reading: AI Document OCR and Extraction
Graded Hands-on-lab: Document OCR and Data Extraction
Practice Quiz: Multimodal AI and Advanced Research Techniques
Reading: Cross-Format Research Workflows with AI
Activity: AI for Cross-Format Research
Reading: Expert Review of Multimodal AI Outputs
Graded Quiz: Multimodal AI & Advanced Research Techniques
Reading: About the Project
Reading: Preparing for the Project
Reading: Choosing Your Workflow Track
Hands-on Lab: Final Project: Design Your AI-Powered Analysis Workflow
Final Exam: AI Powered Financial Analysis
Reading: What You've Achieved
Why Learn with SkillUp Online?
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.
Reskilling into tech? We’ll support you.
Upskilling for promotion? We’ll help you.
Cross-skilling for your career? We’ll guide you.
Personalized Mentoring & Support
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Practical Experience
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Best-in-Class Course Content
Designed by the industry for the industry so you can build job-ready skills.
Job-Ready Skills Focus
Competency building and global certifications employers are actively looking for.
FAQs
AI-powered financial analysis combines artificial intelligence with financial data to improve accuracy, automate repetitive tasks, and uncover deeper business insights. It helps learners make faster, evidence-based decisions while reducing manual effort in everyday financial workflows.
This course is ideal for finance professionals, business analysts, accountants, consultants, and learners who want to strengthen their analytical skills and confidently apply AI to modern financial decision-making and reporting.
No. The course starts with core concepts before introducing practical applications, making it suitable for beginners as well as experienced professionals looking to expand their finance and technology skills.
You will explore how AI for financial analysts simplifies complex data evaluation, improves productivity, and supports faster decision-making. The course also introduces practical techniques for AI financial modeling using real-world business scenarios.
Yes. You will learn how AI financial forecasting can identify patterns, improve projections, and support strategic planning while reducing reliance on time-consuming manual calculations and traditional spreadsheet-based forecasting methods.
Absolutely! The course demonstrates how AI financial reporting automates data organization, generates meaningful insights, and enhances reporting accuracy, allowing finance teams to focus on strategic analysis instead of repetitive administrative tasks.
You will develop hands-on skills in analyzing financial information, interpreting trends, evaluating business performance, and applying AI tools to solve real-world finance challenges with greater confidence and efficiency.
Yes. Learners will discover how AI investment analysis and AI market intelligence help evaluate market trends, assess opportunities, and support more informed investment and business decisions using data-driven insights.
The course introduces AI document analysis techniques for reviewing financial statements, contracts, and business documents more efficiently, helping learners extract relevant information while reducing manual review time.
As AI continues to transform finance, professionals with practical AI skills are becoming increasingly valuable. This course helps learners stay competitive by building relevant, future-ready capabilities that support long-term career development.
Type of certificate
Certificate of Completion
About this course
15 Modules
06 Skills
Includes
21 Hands-on labs
19 Videos
03 Podcasts
68 Instructional readings
11 Additional readings and handouts
11 Interactive activities
14 Practice quizzes
14 Graded quizzes
01 Final project
01 Final exam
Create
AI-assisted research reports
Prompt libraries and workflow documentation
Client-ready financial content using AI
AI-powered financial analysis workflows (Capstone)
Exercises to explore
Financial statement and KPI analysis using AI
Earnings call and transcript summarization
Market intelligence and sector analysis
Equity and credit research analysis
Portfolio analytics and reporting
Multimodal AI analysis for charts, tables, and financial documents
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