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Advanced Certification in Financial Analysis with Agentic AI

6,500 Ratings

  • Discover fundamental financial analysis techniques such as financial modeling, forecasting, and Agentic AI applications in finance.
  • Learn from Industry experts through live interactive sessions.
  • Use analytics and AI to gain expertise in talent acquisition, workforce planning, and organizational change.
  • Earn industry recognized certification from Microsoft & Intellipaat.
Certification Aligned to
Microsoft
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Learning Format

Online

Live Classes

6 Months

Microsoft & Intellipaat

Certification

Career Services by

Intellipaat

EMI Starts

at ₹8,000/month*

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About Program

This program in Financial Analysis with Agentic AI enables finance professionals and enthusiasts to master contemporary financial decision-making. The program is a blend of traditional financial models and advanced Agentic AI tools that aim to improve forecasting accuracy, strategic investment, and enterprise-wide analysis.

Key Highlights

120 Hrs of Live Sessions
Certification from Microsoft
6 Months of Live Sessions
24/7 Support
Learn from Industry Experts
Designed for Working Professionals
Power BI Sessions by Industry Experts
No-Cost EMI Option
Placement Assistance

About Microsoft:

Microsoft is a global technology leader known for its software products like Windows operating Systems, Office, and Azure cloud services. Founded in 1975 by Bill Gates and Paul Allen, it has played a pivotal role in shaping the personal computing and enterprise software industries. Today, Microsoft drives innovation in AI, cloud computing, andRead More..

Benefits for students from Microsoft:

  • Industry-recognized certification from Microsoft for “Develop dynamic reports with Microsoft Power BI”
  • Real-time projects and exercises
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Who Can Apply for the Financial Analysis Program?

  • Postgraduates or graduates from any recognized university (India or overseas).
  • Finance professionals, analysts, investment advisors, or entrepreneurs looking to enhance their financial modeling and analytics capabilities.
who can apply

What Roles Can an Advanced Certification in Financial Analysis with Agentic AI?

Financial Analyst

Analyze and interpret financial data through data models to make investment recommendations and accelerate business development.

Risk Management Analyst

Examine quantifiable exposure to risks, devise strategies to mitigate the modeled risk, and apply AI-based scenario predictive analytics.

Investment Strategist

Utilize insights provided by AI to pinpoint portfolio gaps and manage asset performance.

Corporate Finance Manager

Assist with mergers, capital budgeting, and business valuations using strategic financial knowledge.

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Skills to Master

Financial Modeling & Valuation

Forecasting & Budgeting

Agentic AI in Finance

Risk & Portfolio Management

Business & Market Analysis

Power BI & Tableau

Strategic Financial Planning

Corporate Performance Analytics

Legal & Regulatory Compliance

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Tools to Master

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Meet Your Mentors

Curriculum

Live Course Self Paced
  • Introduction to Excel

Spreadsheet basics for financial modeling and data analysis.

  • Advanced Topics in Excel

Master advanced Excel features like pivot tables, VLOOKUP, macros, and dynamic charts.

  • Mathematics and Statistics Using Excel

Use statistical functions and mathematical tools to address real-time finance issues.

  • Economics for Finance—I & II

Study macro- and microeconomic concepts and their application in financial markets and decision-making.

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  • Introduction to Financial Accounting

Understand accounting concepts, principles, and the accounting cycle.

  • The Balance Sheet

Learn to analyze an organization’s assets, liabilities, and equity structure.

  • Statement of Profit and Loss

Understand revenues, expenses, and net income for profitability analysis.

  • Cash Flow Statement

Analyze a firm’s liquidity and ability to generate cash.

  • Financial Statement Analysis

Apply ratio analysis and trend analysis to measure financial health and performance.

  • Hands-on Workshop I: Financial Forecasting

Apply forecasting techniques using historical data and Excel modeling.

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  • Introduction to Investment Banking

Comprehend the structure, services, and revenue models of IBs.

  • Issue Management, IPO & Underwriting

Examine public issue processes, pricing strategies, and underwriter roles.

  • Mergers & Acquisitions—I & II

Master valuation, due diligence, synergies, and post-merger integration.

  • Project Finance

Examine long-term infrastructure and industrial project funding structures.

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  • Financial Instruments & Markets

Introduction to debt, equity, derivatives, and hybrid instruments.

  • Time Value of Money—I & II

Master NPV, IRR, annuities, perpetuities, and discounting cash flows.

  • Stock Valuation

Learn DDM and relative valuation techniques for equity instruments.

  • Bond Valuation

Learn bond pricing, yield curves, duration, and convexity.

  • Hands-on Workshop II: Equity Valuation

Construct equity valuation models using real-time stock data and Excel.

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  • Capital Budgeting—I & II

Learn to appraise investment projects with NPV, IRR, and Payback.

  • Risk and Return

Learn about systematic and unsystematic risks, CAPM, and Beta.

  • Cost of Capital

Compute WACC and learn how it is applied in project appraisal.

  • Financing and Capital Structure

Learn optimal capital structure and the consequences of debt-equity decisions.

  • Hands-on Workshop III: Portfolio Optimization and Diversification

Learn modern portfolio theory and optimize portfolios using Excel and Solver tools.

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  • Financial Derivatives—I & II

Understand options, futures, forwards, swaps, and hedging strategies.

  • Portfolio Management—I & II

Study strategic asset allocation and diversification methods.

  • Performance Evaluation

Study portfolio performance with Sharpe, Treynor, and Jensen indices.

  • Hands-on Workshop IV: Portfolio Performance Evaluation

Use evaluation structures to analyze live portfolios and enhance results.

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  • Introduction to Valuation

Study valuation as a strategic corporate finance tool.

  • Corporate Valuation—DCF Methods

Do discounted cash flow valuations with FCFF and FCFE methodologies.

  • Corporate Valuation—Relative Valuation

Apply EV/EBITDA, P/E, and P/BV ratios for relative valuation.

  • Valuation of Early-stage Firms and Startups

Investigate startup valuation models under uncertainty and limited information.

  • Real Option Valuation

Understand how to value managerial flexibility in capital budgeting.

  • Hands-on Workshop V: Corporate Valuation

Construct end-to-end valuation models combining DCF and multiples.

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  • Market & Currency Risk Management

Tools to hedge interest rate, FX, and market volatility.

  • Credit Risk Management

Analyze default probability and exposure at default through AI models.

  • Enterprise Risk & Financial Institutions

Comprehend integrated risk frameworks in banks and corporations.

  • Fintech I & II

Discover how blockchain, robo-advisors, digital payments, and Agentic AI are transforming finance.

  • Hands-on Workshop VI: Risk Measurement

Model VaR, stress testing, and scenario analysis using Excel.

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In the first module of this Course, you will learn the basics of Power BI

  • Introduction to Business Intelligence (BI)
  • Stages of the BI Lifecycle
  • Real-world Use Cases of BI
  • Comparison of Popular BI Tools
  • Understanding Data Warehousing Concepts
  • What is Power BI?
  • Why Choose Power BI for BI Projects?
  • Exploring Key Power BI Components
  • Power BI Licensing & Pricing Structure
  • Fundamental Building Blocks of Power BI
  • Architecture Overview of Power BI
  • Power BI vs Tableau vs QlikView
  • Getting Started with Power BI Desktop
  • Installing Power BI Desktop
  • Key Features of the Power BI Workflow
  • Step-by-Step Process to Build Reports in Power BI

Hands-on Exercise –

  1. Build a basic Power BI Dashboard
  2. Source data from a public web source
  3. Publish the report to Power BI Cloud
  4. Create Pivot Tables (Power Tables) for data insights
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In the second module of this Certification, you will learn the basics of data extraction

  • Introduction to Power BI Desktop
  • Understanding Various Data Sources in Power BI
  • Using File-Based Sources (Excel, PDF, CSV, etc.)
  • Working with SaaS Connectors (e.g., Salesforce, Google Analytics)
  • Extracting Data from Folders & Relational Databases
  • Integrating Azure SQL Database & Other SQL Sources
  • Connecting to Analysis Services
  • Utilizing Additional Sources (OData, Web, SharePoint, etc.)
  • Using Python and R Scripts in Power BI
  • Getting Started with Power Query Editor
  • Exploring the Advanced Editor

Hands-on Exercise –

  1. Connect to a database and retrieve structured data
  2. Import data from Excel files for quick visualizations
  3. Establish a connection to SQL Server
  4. Integrate with SQL Azure
  5. Connect to Analysis Services for multidimensional insights
  6. Work with Power Query Editor for data transformation
  7. Connect to Hadoop and perform exploratory analysis
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  • Shaping Data Using Power Query Editor
  • Formatting and Structuring Imported Data
  • Applying Data Transformations
  • Understanding Power BI Data Types
  • Data Profiling for Quality Checks
  • Naming Conventions & Best Practices
  • Creating Keys for Data Joins
  • Using Parameters for Dynamic Queries
  • Merge Queries for Consolidated Data
  • Append Queries for Data Union
  • Using Group By for Aggregation
  • Managing Applied Steps in Query Settings
  • Duplicate vs. Reference Tables
  • Transposing Rows and Columns
  • Using the Fill Operation (Down/Up)
  • Pivot and Unpivot Transformations
  • Creating Custom Columns
  • Using Conditional Columns for Logic
  • Replacing Values in Tables
  • Splitting Column Values
  • Moving, Renaming, and Sorting Columns
  • Detect Data Type, Count & Reverse Rows
  • Promoting Rows as Column Headers
  • Creating Hierarchies for Drill-Down Reports
  • Introduction to M Query Language

Hands-on Exercise –

  1. Install Power BI Desktop and configure the environment
  2. Use Power Query Editor to perform basic shaping
  3. Write and apply M Query transformations
  4. Transpose a table and manipulate structure
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  • Introduction to Data Relationships
  • Creating and Managing Relationships Between Tables
  • Understanding Cardinality in Power BI Models
  • Cross-Filter Direction: Single vs. Both
  • Working with Inactive Relationships
  • Introduction to DAX (Data Analysis Expressions)
  • Why DAX is Essential for Power BI Modelling
  • DAX Syntax and Expression Structure
  • Commonly Used DAX Functions
  • Understanding Row and Filter Context in DAX
  • Creating Calculated Columns with DAX
  • Building Measures Using DAX
  • Using DAX to Create Calculated Tables
  • Exploring Table, Logical, Text, and Iterator Functions
  • Time Intelligence Functions (YTD, QTD, MTD)
  • Cumulative Totals, Rankings, and Group Calculations
  • Date and Time-Based DAX Functions
  • Diagnosing Poorly Performing Measures and Relationships
  • Exploring Advanced DAX Techniques and Patterns

Hands-on Exercise –

  1. Create a Power Pivot model with multiple related tables
  2. Apply filters to control visual and data-level interactions
  3. Use advanced DAX functions, including date and time intelligence
  4. Embed Power Pivot models directly into Power BI Desktop
  5. Write DAX queries to build calculated columns, measures, and tables.
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  • Deep Dive into Power BI Data Visualization
  • Exploring Power View and Power Map
  • Key Data Visualization Techniques
  • Optimizing Page Layout and Formatting
  • Power BI Desktop Visualization Overview
  • Formatting and Customizing Visuals
  • Visualization Interactivity and Customization
  • Creating Custom Visuals in Power BI
  • Top-Down and Bottom-Up Analytics
  • Drill-Down Functionality
  • Drill-Through for Detailed Insights
  • Page Navigation in Power BI
  • Using Bookmarks for Navigation and Reports
  • Selection Pane for Visual Management
  • Comparing Volume and Value-Based Analytics
  • Combination Charts (Dual-Axis Charts)
  • Using the Filter Pane for Data Segmentation
  • Creating and Using Slicers
  • Leveraging Hierarchies in Drill-Down Analysis
  • Setting Corporate Themes for Consistency
  • Creating Reusable Power BI Templates
  • Mastering Power BI Visualization Best Practices
  • Using the Performance Analyzer to Optimize Reports
  • Power BI Q&A (Natural Language Query Visual)
  • Syncing Slicers Across Multiple Visuals
  • Adding Tooltips and Custom Tooltips
  • Tables and Matrix Visuals
  • Conditional Formatting for Enhanced Visuals
  • Creating Waterfall, KPI, Donut, and Scatter Charts
  • Geographical Data Visualization Using Maps

Hands-on Exercise –

  1. Create Power View and Power Map for visual storytelling
  2. Format and customize visuals for polished reports
  3. Deploy Power View on SharePoint and Excel
  4. Implement top-down and bottom-up analytics strategies
  5. Build Power View reports, charts, and scorecards
  6. Add custom visuals to enhance reporting
  7. Authenticate and embed Power BI dashboards in web applications
  8. Categorize, filter, and sort data using Power View
  9. Create business and date hierarchies
  10. Resolve common hierarchy issues in Power BI models
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  • Introduction to Power BI Service
  • Exploring Workspaces in Power BI
  • Understanding Dashboards in Power BI
  • Creating and Configuring Dashboards
  • Customizing Dashboard Themes
  • Reports vs. Dashboards: Key Differences
  • Building Workspace Apps for Collaboration
  • Sharing Reports and Dashboards
  • Configuring Subscriptions and Data Alerts
  • Creating Paginated Reports
  • Introduction to Power Q&A
  • Asking Questions Using Natural Language Queries
  • Getting Insights in Charts, Graphs, and Data Discoveries
  • Configuring Custom Questions for Q&A (e.g., FAQs)
  • Building Ad-Hoc Analytics with Power BI
  • Power Q&A Best Practices for Efficient Queries
  • Using Quick Insights for Immediate Data Discovery
  • Configuring Subscriptions, Alerts, and Usage Statistics
  • Designing Reports in Power BI Service
  • Collaborating with Power BI Service Features
  • Implementing Row-Level Security (RLS)
  • Introduction to Paginated Reports
  • Exploring Power BI Report Server

Hands-on Exercise –

  1. Write queries using natural language to interact with your data
  2. Get answers in the form of charts and graphs from your queries
  3. Build ad-hoc analytics reports dynamically from your data
  4. Pin tiles and ranges to dashboards for quick access and visual tracking.
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  • Understanding Power BI Desktop Settings
  • Aggregating Data from Multiple Data Sources
  • Configuring Power BI Service Settings
  • Exploring the Power BI Admin Portal
  • Power BI Administration Activities
  • Analysing Power BI Usage and Activity
  • Introduction to Office 365 Admin Activities
  • Overview of Data Gateway in Power BI
  • Installing and Configuring Data Gateways
  • Scheduling Auto Data Refresh for Reports
  • Managing Groups, Row-Level Security, Datasets, Reports, and Dashboards
  • Real-Time Data Analysis Using Direct Connectivity
  • Direct Query vs. Import Mode in Power BI

Hands-on Exercise –

  1. Configure Power BI Desktop settings for optimal performance
  2. Aggregate data from various sources for integrated reporting
  3. Set up Power BI Service settings for cloud deployment
  4. Explore the Power BI Admin Portal and its functionality
  5. Monitor and manage Power BI usage analysis
  6. Install and configure a Data Gateway for hybrid solutions
  7. Schedule auto data refresh for real-time reporting
  8. Implement row-level security and manage report access
  9. Test Direct Query and Import Mode for data analysis
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  • Introduction to GenAI and its integration with Power BI
  • Using Power BI Copilot for report generation and data analysis
  • Enhancing dashboards with AI-generated summaries and insights
  • Automating data storytelling with natural language narratives
  • Real-world use cases of GenAI in business intelligence
  • Best practices for using GenAI features responsibly

Hands-on Exercise

  1. Use Power BI Copilot to generate a summary for a sales dashboard
  2. Add AI-generated insights to a marketing performance report
  3. Compare manual vs. AI-assisted dashboard development
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Disclaimer
Intellipaat reserves the right to modify, amend or change the structure of module & the curriculum, after due consensus with the university/certification partner.

Program Highlights

120 Hrs of Live Sessions
6 Months of Live Sessions
Certification from Intellipaat & Microsoft
24*7 Support

Career Services By Intellipaat

Career Services
guaranteed
Placement Assistance
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Exclusive access to Intellipaat Job portal
Mock Interview Preparation
1 on 1 Career Mentoring Sessions
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Career Oriented Sessions
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Resume & LinkedIn Profile Building
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Admission Details

The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.

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Tell us a bit about yourself and why you want to join this program

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Application Review

An admission panel will shortlist candidates based on their application

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Admission

Selected candidates will be notified within 1–2 weeks

Program Fee

Total Admission Fee

₹ 1,00,035 (Inclusive of All)

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EMI Starts at

₹ 8,000

We partnered with financing companies to provide very competitive finance options at 0% interest rate

Financing Partners

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The credit facility is provided by a third-party financing company and any arrangement with such financing companies is outside.

Frequently Asked Questions

Why should I sign up for this Program in Financial Analysis with Agentic AI?

The program is taught by Industry through live online sessions and covers the following:

  • Hands-on workshops and capstone projects promote active learning.
  • A comprehensive course curriculum for financial analysis, as well as sophisticated Agentic AI tools.
  • The industry recognizes professional certification in finance and analytics.
  • Real-world application case studies on investment, valuation, risk, and strategic planning.

Through this course, you will develop key finance and AI integration skills. These are

  • Financial planning and forecasting.
  • Modeling and interpreting financial statements.
  • Valuation methods: DCF, relative, and startup-oriented.
  • Risk assessment and optimization of portfolios.
  • Strategic investment decision-making.
  • Compliance with laws and regulations in finance.
  • Data visualization with Power BI and Tableau.
  • Agentic AI-based tools such as LangChain and CrewAI for financial automation.

 

This Program in Financial Analysis with Agentic AI includes eight in-depth modules, workshops with hands-on practice, and a capstone project that will prepare you for high-growth jobs:

  • Introduction to Excel and Statistics for Finance
  • Financial Accounting and Analysis
  • Financial Instruments and Markets
  • Corporate Finance
  • Investment Management
  • Corporate Valuation
  • Risk Management and Fintech
  • Investment Banking
  • Capstone Project

Financial Analysis with Agentic AI opens doors to high-paying and strategic finance careers.

  • Use data-driven insights for investment, valuation, and performance analysis.
  • Drive strategic decision-making with financial acumen and AI guidance.
  • Differentiate yourself in the highly competitive job market by being proficient in future-proof tools.
  • Position yourself for high-growth, globally relevant jobs.

We record all our live sessions. Therefore, if you miss any of your live classes, you don’t need to worry, as the recording will be available to you within 12 hours of the session on the learning platform (Intellipaat LMS).

We’re here to support you at every step. To learn more about our refund policy, please click here

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What is included in this course?

  • Non-biased career guidance
  • Counselling based on your skills and preference
  • No repetitive calls, only as per convenience
  • Rigorous curriculum designed by industry experts
  • Complete this program while you work