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Foundations of Artificial Intelligence in Financial Systems
COURSE INTRODUCTION
Discover how Artificial Intelligence is revolutionizing the financial sector with this 12-week online course designed for finance professionals. Through engaging sessions, live demos, and expert insights, you’ll explore cutting-edge AI applications in financial analysis, risk management, customer service, and operational efficiency. Learn to leverage AI tools for data-driven decision-making while staying ahead of emerging trends like blockchain and decentralized finance. With practical examples, case studies and interactive discussions, this course equips you with the knowledge and skills to lead in the AI-driven financial landscape. Complete the course and earn a prestigious certification to elevate your career.
LEARNING OBJECTIVES
• Understand the evolving role of AI across all domains of the finance industry, including risk, operations, and customer experience.
• Gain insights into emerging trends like RegTech, ESG investing, and explainable AI.
• Explore data governance, AI tools, and leadership strategies to drive AI adoption effectively.
• Recognize the ethical, regulatory, and operational challenges of AI integration.
• Learn from global examples of AI-driven innovation in finance.
COURSE OUTLINE
Week 1: Foundations of AI in Finance
Session 1: Introduction to AI in Finance Session 2: Evolution of AI in the Financial Industry
Week 2: Tools, Frameworks and Data Governance
Session 3: AI Tools for Financial Applications Session 4: Data Strategy and Governance in Finance
Week 3: Risk Management and Compliance with AI
Session 5: AI in Risk Management Session 6: AI for Regulatory Technology (RegTech)
Week 4: AI-Driven Customer Experience
Session 7: Enhancing Customer Engagement with AI Session 8: Understanding Customer Behavior with AI
Week 5: Operational Efficiency and Financial Forecasting
Session 9: Streamlining Operations with AI Session 10: AI in Financial Forecasting
Week 6: Ethical Considerations and Transparency in AI
Session 11: Ethics and Fairness in AI Session 12: Explainability and Trust in AI
Week 7: Advanced Applications of AI
Session 13: AI in Blockchain and Decentralized Finance (DeFi) Session 14: Innovations in Fintech with AI
Week 8: Strategic Applications of AI
Session 15: Leadership-Level Decision-Making with AI Session 16: AI for Competitive Advantage
Week 9: AI in Marketing and Customer Engagement
Session 17: AI-Driven Marketing in Finance Session 18: Customer-Centric Financial Services
Week 10: Preparing for the Future of AI in Finance
Session 19: The Future of Work in Finance Session 20: Innovations Shaping the Future
Week 11: Practical Insights and Implementation Strategies
Session 21: Implementing AI in Finance Session 22: Overcoming AI Implementation Challenges
Week 12: Review, Showcase, and Certification
Session 23: Review and Knowledge Recap Session 24: Certification and Career Pathways
COURSE DURATION & FEES
Duration: 12 Weeks – 2 sessions per week, 1.5 hours per session. Fees: USD 780 I BDT 93,000
WHO SHOULD ENROL IN THIS COURSE
This course is designed for professionals and individuals aiming to excel in finance and
harness the power of AI-driven technologies. Those who should attend include:
Corporate Professionals in Finance
• Financial analysts, accountants, and auditors seeking to leverage AI for improved data
analysis and decision-making.
• Risk management professionals looking to implement AI-powered predictive models.
Business Leaders and Executives
• CEOs, CFOs, and directors aiming to drive AI integration in their organizations.
• Senior managers responsible for strategic financial planning and innovation.
Entrepreneurs and Start-Up Founders
• Entrepreneurs in fintech looking to create AI-driven financial solutions.
• Start-up leaders wanting to understand the potential of AI in transforming financial
services.
Students and Academics
• Postgraduate students in finance, economics, or technology fields preparing for
advanced roles.
• Researchers exploring the intersection of AI and financial services.
Professionals in Related Industries
• Banking, investment, and insurance professionals keen to upskill in AI applications.
• Legal and compliance officers focusing on AI-driven regulatory practices.
This course is ideal for anyone eager to adapt to the changing financial landscape and
lead AI-driven transformations in their sector.
WHY TAKE THIS COURSE ONLINE?
• Flexible and Convenient: Learn at your own pace, anytime, anywhere—ideal for busy professionals.
• Expert-Led Content: Access cutting-edge curriculum and insights from AI and finance industry leaders.
• Cost and Time Efficiency: Save on travel and expenses while fitting learning into your schedule.
• Career Advancement: Earn a certification and gain in-demand skills to boost your career. This online course provides flexibility, relevance, and immediate impact, making it the perfect choice for forward-thinking finance professionals.
WHY AI IN FINANCE IS A MUST-HAVE SKILL FOR CORPORATE PROFESSIONALS
Gain Competitive Advantage
Stay Ahead: Learn cutting-edge AI tools and techniques that are transforming the finance industry.
Professional Edge: Equip yourself with advanced skills to outperform peers and enhance decision-making capabilities.
Enhance Financial Decision-Making
Data-Driven Insights: Understand how AI can process vast amounts of financial data to generate actionable insights. Predictive Analytics: Leverage AI for forecasting trends, managing risks, and optimising investments.
Build Strategic Leadership Skills
Lead AI Initiatives: Develop the expertise to guide AI adoption in your organisation. Innovate Solutions: Create AI-driven strategies to improve efficiency and profitability in financial services.
Adapt to Industry Transformation
Digital Shift: As finance shifts to AI and automation, staying updated is essential for career growth.
Global Trends: Learn to align with global practices in AI-driven financial services.
Obtain a Certification
Credibility: A prestigious certification enhances your professional profile and builds trust with employers or clients. Career Growth: Open doors to advanced roles, leadership positions, or entrepreneurial opportunities in AI and finance.
ABOUT THE INSTRUCTORS
The instructors of this course bring a unique blend of academic excellence and industry expertise, with backgrounds in Applied Physics & Electronics and Business Analytics from renowned institutions such as Dhaka University, Heidelberg University and HKU Business School, The University of Hong Kong (HKU). As seasoned professionals in Business Intelligence and Analytics, they possess an impressive command over programming and significant experience in developing AI-powered applications across various industries. Dedicated to simplifying complex technological concepts, they provide a comprehensive understanding of AI’s transformative applications in the financial sector.
Coding Fundamentals with Python for Finance Professionals
COURSE INTRODUCTION
In today’s rapidly evolving financial landscape, coding is no longer a skill reserved for tech professionals—it’s a game-changer for finance experts too. Coding Fundamentals with Python for Finance Professionals is a beginner-friendly course designed specifically for finance professionals with no prior programming experience. This 12-week journey will equip you with essential coding skills using Python, enabling you to streamline processes, analyses data, and make smarter decisions. Whether you’re managing portfolios, calculating risks, or creating financial models, this course lays the foundation for integrating technology into your financial expertise. Start coding your way to the future of finance!
LEARNING OBJECTIVES
To equip finance professionals with the foundational programming skills necessary to transition into advanced AI and data analytics applications in finance.
COURSE DURATION & FEES
Duration: 12 Weeks – 2 sessions per week, 1.5 hours per session.
Fees: USD 515 I BDT 62,000
WHO SHOULD ENROL IN THIS COURSE
This course is designed for professionals and individuals aiming to excel in finance and harness the power of AI-driven technologies. Those who should attend include:
Corporate Professionals in Finance
• Financial analysts, accountants, and auditors seeking to leverage AI for improved data analysis and decision-making. • Risk management professionals looking to implement AI-powered predictive models.
Business Leaders and Executives
• CEOs, CFOs, and directors aiming to drive AI integration in their organizations.
• Senior managers responsible for strategic financial planning and innovation.
Entrepreneurs and Start-Up Founders
• Entrepreneurs in fintech looking to create AI-driven financial solutions.
• Start-up leaders wanting to understand the potential of AI in transforming financial services.
Students and Academics
• Postgraduate students in finance, economics, or technology fields preparing for advanced roles.
• Researchers exploring the intersection of AI and financial services.
Professionals in Related Industries
• Banking, investment, and insurance professionals keen to upskill in AI applications.
• Legal and compliance officers focusing on AI-driven regulatory practices.
This course is ideal for anyone eager to adapt to the changing financial landscape and lead AI-driven transformations in their sector.
COURSE OUTLINE
Week 1: Introduction to Programming
Session 1: What is Programming? Understanding Computers and Algorithms Basics of computing Introduction to programming languages Concept of algorithms and flowcharts
Session 2: Setting Up the Environment Installing Python and IDEs (e.g., Jupyter Notebook, VS Code) Writing and executing your first Python program
Week 2: Variables and Data Types
Session 3: Understanding Variables and Data Types, Variables, constants, and types (integer, float, string) Rules for naming variables, Type casting and type checking
Session 4: Basic Input/Output Operations Taking input from the user, Printing outputs Formatting strings
Week 3: Operators and Expressions
Session 5: Arithmetic, Relational, and Logical Operators, Performing calculations in Python Boolean logic and its use in decision-making
Session 6: Writing Expressions and Evaluating Statements, Order of operations, Combining operators and variables
Week 4: Control Structures – Conditional Statements
Session 7: Introduction to Control Flow Understanding if, else, and elif statements Nested conditions
Session 8: Practical Applications in Finance Writing simple financial decision-making programs (e.g., loan eligibility, tax brackets)
Week 5: Control Structures – Loops
Session 9: Understanding Loops for and while loops, Break and continue statements
Session 10: Loop Applications in Finance Writing programs to calculate compound interest, amortisation schedules
Week 6: Data Structures – Lists and Tuples
Session 11: Introduction to Lists and Tuples Creating, accessing, and modifying lists and tuples, Iterating through lists and tuples
Session 12: Working with Financial Data Storing and manipulating transaction data
Week 7: Strings and Basic File Operations
Session 13: Understanding Strings in Python String operations: slicing, concatenation, searching, Formatting strings for reports
Session 14: File Handling Basics Reading from and writing to files Storing financial logs
Week 8: Functions
Session 15: Writing and Using Functions Function definitions and parameters Return values
Session 16: Financial Applications of Functions Creating reusable financial calculators (e.g., ROI, profit margin)
Week 9: Error Handling and Debugging
Session 17: Introduction to Errors and Debugging, Common errors in Python and how to resolve them, Using try, except for error handling
Session 18: Debugging Financial Programs Identifying and fixing issues in financial computations
Week 10: Introduction to Libraries
Session 19: Working with Python Libraries Introduction to NumPy and Pandas for data handling Using Matplotlib for basic visualizations
Session 20: Financial Applications Plotting simple graphs (e.g., stock trends, profit growth)
Week 11: Mini-Project Development
Session 21: Developing a Simple Financial Tool Choose a project like a savings calculator or budget tracker Write, test, and debug code
Session 22: Enhancing and Documenting the Project Adding features and writing user documentation
Week 12: Review and Certification
Session 23: Presenting Mini-Projects Share projects with peers for feedback
Session 24: Certification Ceremony and Career Guidance Discuss next steps, including transitioning to the advanced AI in finance course
WHY TAKE THIS COURSE ONLINE?
• Flexible and Convenient: Learn at your own pace, anytime, anywhere—ideal for busy professionals.
• Expert-Led Content: Access cutting-edge curriculum and insights from AI and finance industry leaders.
• Cost and Time Efficiency: Save on travel and expenses while fitting learning into your schedule.
• Career Advancement: Earn a certification and gain in-demand skills to boost your career.
This online course provides flexibility, relevance, and immediate impact, making it the perfect choice for forward-thinking finance professionals.
ABOUT THE INSTRUCTORS
The instructors of this course bring a unique blend of academic excellence and industry expertise, with backgrounds in Applied Physics & Electronics and Business Analytics from renowned institutions such as Dhaka University, Heidelberg University and HKU Business School, The University of Hong Kong (HKU). As seasoned professionals in Business Intelligence and Analytics, they possess an impressive command over programming and significant experience in developing AI-powered applications across various industries. Dedicated to simplifying complex technological concepts, they provide a comprehensive understanding of AI’s transformative applications in the financial sector.
Advanced Applications of Artificial Intelligence in Financial Systems
COURSE INTRODUCTION
Discover advanced applications of Artificial Intelligence in finance with this comprehensive 12-week online course tailored for experienced finance professionals. Learn Python fundamentals, advanced frameworks like TensorFlow and tools such as Pandas for data governance while building AI models for risk management, compliance, and forecasting. Explore customer analytics, blockchain, decentralised finance, emerging trends, and FinTech innovations, and address critical ethical and transparency challenges. Conclude by developing an AI-driven financial tool and earning a prestigious certification to elevate your career in the dynamic, AI-powered financial sector.
LEARNING OBJECTIVES
• Master the advanced role of AI in finance through coding and practical applications. Focus on areas like risk analytics, operational efficiency, and customer personalisation.
• Explore trends such as AI-driven RegTech, ESG analytics, and explainable AI frameworks. Develop hands-on expertise in coding tools and techniques for financial innovation.
• Understand data governance and strategies for scaling AI adoption. Tackle ethical, regulatory, and technical challenges in AI integration.
• Learn from global examples and build AI-driven tools. Drive growth and innovation in the financial sector.
COURSE OUTLINE
Week 1: AI and Coding in Finance
Session 1: Introduction to AI in Financial Operations Session 2: Basics of Python Programming for Beginners
Week 2: Handling Financial Data
Session 3: Reading and Cleaning Financial Data with Python Session 4: Visualising Financial Data Using Matplotlib
Week 3: Simple Financial Calculations with Python
Session 5: Automating Basic Financial Operations (e.g., Interest, ROI) Session 6: Working with Financial Metrics (e.g., CAGR, IRR)
Week 4: Introduction to Risk Analysis
Session 7: Calculating Risk Metrics (e.g., Standard Deviation, VaR) Session 8: Plotting Risk Trends with Python
Week 5: Predictive Analysis Basics
Session 9: Introduction to Time Series Data in Finance Session 10: Simple Trend Analysis Using Python
Week 6: Introduction to Portfolio Management
Session 11: Basics of Portfolio Allocation Session 12: Calculating Risk-Return Ratios
Week 7: Automating Compliance Tasks
Session 13: Generating Automated Reports with Python Session 14: Building Basic Rule-Based Compliance Tools
Week 8: Fraud Detection Basics
Session 15: Identifying Anomalies in Transaction Data Session 16: Visualizing Fraud Trends in Simple Datasets
Week 9: Optimizing Financial Processes
Session 17: Automating Repetitive Financial Tasks with Python Session 18: Using Python for Cash Flow Optimization
Week 10: Practical Implementation of Financial Tools
Session 19: Creating a Simple Financial Calculator with Python Session 20: Debugging and Improving Basic Python Scripts
Week 11: Final Project Development
Session 21: Designing a Simple Financial Tool (e.g., Budget Tracker) Session 22: Testing and Refining the Tool
Week 12: Review and Certification
Session 23: Presenting Final Projects Session 24: Certification and Career Guidance
COURSE DURATION & FEES
Duration: 12 Weeks – 2 sessions per week, 2.5 hours per session. Fees: USD 1,560 I BDT 1,86,000
WHO SHOULD ENROL IN THIS COURSE
This course is designed for professionals and individuals aiming to excel in finance and harness the power of AI-driven technologies. Those who should attend include:
Corporate Professionals in Finance
• Financial analysts, accountants, and auditors seeking to leverage AI for improved data analysis and decision-making. • Risk management professionals looking to implement AI-powered predictive models.
Business Leaders and Executives
• CEOs, CFOs, and directors aiming to drive AI integration in their organisations.
• Senior managers responsible for strategic financial planning and innovation.
Entrepreneurs and Start-Up Founders
• Entrepreneurs in fintech looking to create AI-driven financial solutions.
• Start-up leaders wanting to understand the potential of AI in transforming financial services.
Students and Academics
• Postgraduate students in finance, economics, or technology fields preparing for advanced roles.
• Researchers exploring the intersection of AI and financial services.
Professionals in Related Industries
• Banking, investment, and insurance professionals keen to upskill in AI applications.
• Legal and compliance officers focusing on AI-driven regulatory practices.
This course is ideal for anyone eager to adapt to the changing financial landscape and lead AI-driven transformations in their sector.
WHY TAKE THIS COURSE ONLINE?
• Flexible and Convenient: Learn at your own pace, anytime, anywhere—ideal for busy professionals.
• Expert-Led Content: Access cutting-edge curriculum and insights from AI and finance industry leaders.
• Cost and Time Efficiency: Save on travel and expenses while fitting learning into your schedule.
• Career Advancement: Earn a certification and gain in-demand skills to boost your career.
This online course provides flexibility, relevance, and immediate impact, making it the perfect choice for forward-thinking finance professionals.
WHY AI IN FINANCE IS A MUST-HAVE SKILL FOR CORPORATE PROFESSIONALS
Gain Competitive Advantage
Stay Ahead: Learn cutting-edge AI tools and techniques that are transforming the finance industry.
Professional Edge: Equip yourself with advanced skills to outperform peers and enhance decision-making capabilities.
Enhance Financial Decision-Making
Data-Driven Insights: Understand how AI can process vast amounts of financial data to generate actionable insights.
Predictive Analytics: Leverage AI for forecasting trends, managing risks, and optimizing investments.
Build Strategic Leadership Skills
Lead AI Initiatives: Develop the expertise to guide AI adoption in your organisation.
Innovate Solutions: Create AI-driven strategies to improve efficiency and profitability in financial services.
Adapt to Industry Transformation
Digital Shift: As finance shifts to AI and automation, staying updated is essential for career growth.
Global Trends: Learn to align with global practices in AI-driven financial services.
Obtain a Certification
Credibility: A prestigious certification enhances your professional profile and builds trust with employers or clients.
Career Growth: Open doors to advanced roles, leadership positions, or entrepreneurial opportunities in AI and finance.
ABOUT THE INSTRUCTORS
The instructors of this course bring a unique blend of academic excellence and industry expertise, with backgrounds in Applied Physics & Electronics and Business Analytics from renowned institutions such as Dhaka University, Heidelberg University and HKU Business School, The University of Hong Kong (HKU). As seasoned professionals in Business Intelligence and Analytics, they possess an impressive command over programming and significant experience in developing AI-powered applications across various industries. Dedicated to simplifying complex technological concepts, they provide a comprehensive understanding of AI’s transformative applications in the financial sector.
Articial Intelligence for Business Excellence and Corporate Strategy
COURSE INTRODUCTION
The AI for Business Excellence and Corporate Strategy course is a 12-week online
program designed to empower corporate professionals with practical AI tools and
strategies to enhance decision-making, streamline operations, and drive business growth.
Through live virtual sessions, hands-on workshops and real-world projects, participants
will learn how to:
• Leverage AI for business analytics, marketing, automation, and corporate strategy.
• Utilise user-friendly AI tools for data visualisation, workow automation, and customer
engagement.
• Navigate emerging trends and ethical considerations in AI for business.
This course requires no prior coding experience and is ideal for managers, executives,
entrepreneurs, and professionals seeking to future-proof their skills and lead AI-driven
initiatives in their organisations.
Transform your business strategy with AI – Learn, Apply, and Innovate!
WHO SHOULD ENROL IN THIS COURSE
Mid-to-Senior Level Managers
Those responsible for strategic decision-making, operations, and driving innovation within their teams.
Business Executives and Leaders
Senior professionals who aim to incorporate AI-driven strategies into their long-term
business vision.
Project Managers and Team Leads
Professionals managing cross-functional projects who want to streamline processes using
AI tools.
Corporate Strategy Planners
Individuals focused on scenario planning, competitor analysis, and predictive decisionmaking.
Marketing and Sales Professionals
Teams looking to optimise customer segmentation, campaigns, and branding with AI
Finance Professionals
Those in risk management, nancial planning, and ntech seeking AI-based solutions for
analysis and decision-making.
Entrepreneurs and E-commerce Professionals
Business owners aiming to scale operations and personalise customer experiences with
AI-driven tools.
HR and Operations Leaders
Professionals seeking to automate workows, optimise processes, and drive eciency
across business functions
Anyone Interested in Business Innovation
Participants who want to stay ahead by understanding AI trends and practical business
applications.
COURSE OUTLINE
| Week | Module | Session 1 (1.5-2 hrs) | Session 2 (1.5-2 hrs) | Assignments |
|---|---|---|---|---|
| Week 1 | Introduction to AI in Business | Live: AI basics in business contexts. Case studies of AI-driven companies. | Interactive Q&A with a focus on industry examples. | Reading: AI use cases. Quiz. |
| Week 2 | AI-Powered Business Analytics | Live: Overview of business analytics tools. | Workshop: Hands-on with Power BI/Tableau dashboards. | Exercise: Create a simple dashboard. |
| Week 3 | AI-Driven Marketing Strategies | Live: AI for personalization and customer segmentation. | Workshop: AI tools for campaign optimization (e.g., HubSpot or Mailchimp). | Task: Analyze marketing insights. |
| Week 4 | AI in Branding | Live: Data-driven branding strategies. | Workshop: Sentiment analysis using AI tools (e.g., MonkeyLearn). | Exercise: Create an AI-driven branding strategy. |
| Week 5 | AI for Corporate Strategy | Live: AI for scenario planning and competitor analysis. | Group Activity: Develop an AI-powered strategy outline. | Task: Draft strategy recommendations. |
| Week 6 | Mid-Course Project | Group Check-in: Project goals and mentorship. | Feedback session: Present initial frameworks. | Deliverable: Submit project outline. |
| Week 7 | AI-Enabled Business Automation | Live: Workflow optimization and RPA concepts. | Workshop: Using automation tools (UiPath, Zapier). | Exercise: Automate a simple business workflow. |
| Week 8 | AI in Financial Services | Live: Applications in risk management and fintech. | Workshop: AI-based robo-advisors (e.g., interactive demos). | Task: Analyze financial AI tools. |
| Week 9 | AI in E-Commerce | Live: AI chatbots, inventory optimization, personalization. | Hands-on: Use chatbot tools like Drift. | Exercise: Build a basic chatbot workflow. |
| Week 10 | Ethics and Challenges of AI | Live: AI ethics (bias, accountability, privacy). | Discussion: Balancing AI vs. human decision-making. | Reflection: Ethics case study. |
COURSE DURATION & FEES
Duration: 12 Weeks – 2 sessions per week, 2.0 hours per session.
Fees: USD 1,560 I BDT 1,86,000
WHY TAKE THIS COURSE ONLINE?
Flexible and Convenient: Learn at your own pace, anytime, anywhere—ideal for busy
professionals.
Expert-Led Content: Access cutting-edge curriculum and insights from AI and nance
industry leaders.
Cost and Time Eciency: Save on travel and expenses while tting learning into your
schedule.
Career Advancement: Earn a certication and gain in-demand skills to boost your career.
This online course provides exibility, relevance, and immediate impact, making it the
perfect choice for forward-thinking finance professionals.
ABOUT THE INSTRUCTORS
The instructors of this course bring a unique blend of academic excellence and industry
expertise, with backgrounds in Applied Physics & Electronics and Business Analytics from
renowned institutions such as Dhaka University, Heidelberg University and HKU Business
School, The University of Hong Kong (HKU). As seasoned professionals in Business
Intelligence and Analytics, they possess an impressive command over programming and
signicant experience in developing AI-powered applications across various industries.
Dedicated to simplifying complex technological concepts, they provide a comprehensive
understanding of AI’s transformative applications in the nancial sector.
📱 SCAN ME
Reach out to us today for more information!
ABOUT THE INSTRUCTORS
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