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AI Ascent LLC. Course Instructor: Dr. Ivy Munoko, Ph.D., ACCA, CISA

This course will provide students and professionals a 360 degree view of the current Artificial Intelligence techniques used in Business, Finance, Accounting and Auditing. Through a mix of lectures, hands-on exercises (code free. ), case studies, reflection exercises and knowledge-check quizzes, this course will provide a quick and deep overview of Artificial Intelligence (AI) in business.

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This course will provide students and professionals a 360 degree view of the current Artificial Intelligence techniques used in Business, Finance, Accounting and Auditing. Through a mix of lectures, hands-on exercises (code free. ), case studies, reflection exercises and knowledge-check quizzes, this course will provide a quick and deep overview of Artificial Intelligence (AI) in business.

In this digital age, all careers have a computing element as digitization and automation comes to the forefront of business processes. Those who complete this course will be able to reposition themselves to initiate and implement AI innovation within their teams, and confidently walk into this AI age.

The 8 AI techniques that will be covered in this course include:

  • Chatbot (hands-on software: IBM Watson)

  • Natural Language Processing (hands-on software: RapidMiner with add-ons)

  • Machine Learning (hands-on software: RapidMiner)

  • Machine Vision (hands-on software: Google Apps)

  • Speech Recognition (hands-on software: IBM Watson and Cortana)

  • Internet of Things (hands-on software: MATLAB and ThingSpeak)

  • Robotic Process Automation with Intelligence layer (hands-on software: Automation Anywhere)

  • Smart Analytics (software: MindBridge Ai)

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What's inside

Learning objectives

  • Chatbots (ai that can interact in voice and text with humans)
  • Robotic process automation + intelligence (ai that automates business processes)
  • Internet of things (ai that enables devices to communicate directly without human intervention)
  • Smart analytics (ai that combines machine learning, business rules, expert knowledge and statistics)
  • Machine vision (ai that can interpret images, handwriting, and scanned documents)
  • Natural language processing (ai that understands human language)
  • Speech recognition (ai that can comprehend human speech, identify speakers and tones)
  • Machine learning (ai that can analyze massive data and identifies patterns)

Syllabus

At the end of this section, you will be able to define what Artificial Intelligence is, have a general understanding of the different AI techniques and how you can use these techniques
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Welcome to the course
Course Outline
What is Artificial Intelligence?
Why do we need Artificial Intelligence in Finance | Accounting | Auditing
Reflection Question
Can Artificial Intelligence replace me in my profession?
Did AI start yesterday?
Is all the AI talk just hype?
How can you reinvent yourself in this digital age?
Before we jump into the technology...
At the end of this section, you would have developed a simple chatbot (no coding required!) that can interact with humans over a messaging app
Quick introduction to Chatbots
Chatbot applications in Finance | Accounting | Auditing
Chatbot Use Cases
Description of the hands on exercise
Step 1: Hands-on - Overview of IBM Watson
Step 2: Hands-on - Setting up the IBM Chatbot Environment
Step 3: Hands-on - Creating Dialog Skills for the Chatbot
Step 4: Hands-on - Adding the Discovery Service
Step 5: Hands-on - Adding Search skills to the Chatbot
Step 6: Hands on - Recap of what we have covered with Chatbot development
Step 7: Hands-on - Integration with Slack
Chatbot Quiz
At the end of this section, you would learn and interact with speech recognition software (no coding required!)
Introduction to Speech Recognition
General example of speech recognition software with emotion detection
Speech Recognition applications in Finance | Accounting | Auditing
Speech Recognition Case Study
Hands-on: Interacting with Speech Recognition
Speech Recognition Quiz
At the end of this section, you would learn and interact with natural language processing software (no coding required!)
Introduction to Natural Language Processing
Preprocessing text for Natural Language Processing
Natural Language Processing applications in Finance | Accounting | Auditing
Natural Language Processing Case Study
Step 1: Hands on - RapidMiner and Meaning Cloud sites
Step 2: Hands on - Exploring MeaningCloud features
Step 3: Hands on - Extracting online reviews for text analysis
Step 4: Hands on - Using MeaningCloud to perform Natural Language Processing
Step 5: Hands on - Understanding the output
Natural Language Processing Quiz
At the end of this section, you would learn and interact with machine vision software (no coding required!)
Introduction to Machine Vision
Machine Vision applications in Finance | Accounting | Auditing
Machine Vision Case Studies (Accounting | Auditing | Finance)
Just for fun :) Illustration of Machine Vision Apps
Machine Vision Quiz
At the end of this section, you would learn and interact with machine learning software (no coding required!)
Introduction to Machine Learning
Machine Learning Steps
Machine Learning applications
Machine Learning Case Study
Step 1: Hands on - Getting started on Machine Learning / RapidMiner
Step 2: Hands on - Decision Trees
Step 3: Hands on - Random Forest and Logistic Regression
Step 4: Hands on - Building the ensemble
Machine Learning Quiz
At the end of this section, you would learn and interact with RPA (no coding required!)
Introduction to Robotic Process Automation + Intelligence
Robotic Process Automation Case Study
Step 1: Hands on - Getting started on Automation Anywhere
Step 2: Hands on - Building the browser connector
Step 3: Hands on - Adding triggers
Step 4: Hands on - Bot opening excel
Step 5: Hands on- Opening an excel file
Step 6: Hands on - Copy and Pasting between apps
Step 7: Hands on - Troubleshooting
Step 8: Bonus Connecting bot to IBM Watson Chatbot via slack
Robotic Process Automation Quiz
At the end of this section, you would learn and interact with Internet of Things software (no coding required!)
Introduction to Internet of Things
Internet of Things Case Study
Step 1: Hands on - Introduction to MATLAB
Step 2: Hands on - Introduction to ThingSpeak
Step 3: Hands on - Setting up Sensor Channels
Step 4: Hands on - MATLAB Apps
Step 5: Hands on - IoT Visualization and Time Control
Step 6: Hands on - IoT wrap up
At the end of this section, you would learn about smart analytics software
Introduction to Smart Analytics
Smart Analytics Case Study
Step 1:Walkthrough of a Smart Analytics Software for audit - Navigating Software
Step 2:Walkthrough of a Smart Analytics Software for audit - Inner workings
Step 3:Walkthrough of a Smart Analytics Software for audit - Exploring output
At the end of this section, you will have a full picture on how AI applications can be developed and rolled out across teams
What we have covered to this point
How can AI change your work / life?
Implementing AI Applications
AI implementation Case Study
The Future of AI in Accounting, Auditing and Finance
Concluding the course

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Designed for anyone with an interest in the uses of Artificial Intelligence in business, finance, accounting, and auditing
Meets the needs of learners ranging from students to professionals
Offers a comprehensive overview of the techniques used in Artificial Intelligence and their practical applications in business
Provides hands-on labs and interactive materials, making it engaging and practical
Taught by Dr. Ivy Munoko, an experienced academic and professional in the field of Artificial Intelligence, Accounting, Auditing, and Finance
Course materials are delivered in a mix of lectures, hands-on exercises, case studies, and quizzes, catering to diverse learning styles

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Artificial Intelligence for Finance, Accounting & Auditing with these activities:
Review linear algebra concepts
Review the fundamentals of linear algebra to strengthen your understanding of the mathematical concepts used in AI.
Browse courses on Linear Algebra
Show steps
  • Review notes or textbooks on linear algebra.
  • Practice solving linear algebra problems.
  • Complete online quizzes or tests to assess your understanding
Read 'Artificial Intelligence: A Modern Approach'
Gain a comprehensive understanding of AI concepts and algorithms by reading this foundational textbook.
View Melania on Amazon
Show steps
  • Read the chapters relevant to the course topics.
  • Take notes or summarize the key concepts.
  • Discuss the book's content with classmates or online forums.
Build a chatbot using Google Dialogflow
Enhance your understanding of chatbot development by following guided tutorials and building a functional chatbot using Google Dialogflow.
Browse courses on Chatbots
Show steps
  • Sign up for a Google Dialogflow account.
  • Follow a tutorial to create a simple chatbot.
  • Deploy your chatbot and test its functionality.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Attend a study group
Engage with peers and clarify concepts by participating in regularly scheduled study groups.
Show steps
  • Join or form a study group with other students.
  • Meet regularly to discuss course material.
  • Work together to solve problems and complete assignments.
Solve machine learning coding challenges
Reinforce your machine learning knowledge by solving coding challenges on platforms like LeetCode or Kaggle.
Browse courses on Machine Learning
Show steps
  • Choose a coding challenge platform.
  • Select a machine learning-related challenge.
  • Solve the challenge using your preferred coding language.
Develop a presentation on AI applications in your field
Synthesize your knowledge of AI and its applications by creating a presentation tailored to your specific industry.
Browse courses on AI Applications
Show steps
  • Research AI applications in your field.
  • Organize your findings into a logical flow.
  • Design slides and prepare visual aids.
  • Practice delivering your presentation.
Contribute to an AI open-source project
Gain practical experience and enhance your understanding by contributing to real-world AI projects on platforms like GitHub.
Browse courses on Open Source
Show steps
  • Identify an AI open-source project.
  • Review the project's documentation and code.
  • Identify an area where you can contribute.
  • Submit a pull request with your contribution.

Career center

Learners who complete Artificial Intelligence for Finance, Accounting & Auditing will develop knowledge and skills that may be useful to these careers:
Auditor
Auditors examine an organization's financial records to ensure that they are accurate and compliant with regulations. Some auditors also assess internal controls and recommend ways to improve them. The course Artificial Intelligence for Finance, Accounting & Auditing will help you develop the skills you need to succeed as an auditor who uses artificial intelligence to automate tasks, improve accuracy, and detect fraud.
Financial Analyst
Financial analysts collect and analyze financial data to make recommendations on investments. They may also develop financial models to forecast future performance. The course Artificial Intelligence for Finance, Accounting & Auditing will help you build the foundation in financial analysis, accounting, and AI that you need to succeed as a financial analyst.
Accountant
Accountants prepare and examine financial records, ensure compliance with financial regulations, and advise clients on financial matters. The course Artificial Intelligence for Finance, Accounting & Auditing will help you build the foundation in accounting and AI that you need to succeed as an accountant.
Risk Manager
Risk managers identify, assess, and mitigate risks to an organization. They may also develop and implement risk management plans. The course Artificial Intelligence for Finance, Accounting & Auditing will help you develop the skills you need to succeed as a risk manager.
Business Analyst
Business analysts help organizations improve their performance by analyzing business processes and recommending improvements. They may also work on projects to implement new technologies. The course Artificial Intelligence for Finance, Accounting & Auditing will help you develop the skills you need to succeed as a business analyst with a focus on AI applications.
Data Scientist
Data scientists use data to solve business problems. They may work on projects to develop new products or services, improve customer service, or reduce costs. The course Artificial Intelligence for Finance, Accounting & Auditing will help you build the foundation in AI and data analysis that you need to succeed as a data scientist in the finance, accounting, or auditing fields.
Machine Learning Engineer
Machine learning engineers design and develop machine learning models. They may also work on projects to implement machine learning solutions. The course Artificial Intelligence for Finance, Accounting & Auditing will help you build the foundation in AI and machine learning that you need to succeed as a machine learning engineer.
Software Engineer
Software engineers design, develop, and maintain software applications. They may work on projects to develop new features, fix bugs, or improve performance. The course Artificial Intelligence for Finance, Accounting & Auditing can help you build the foundation in AI and software development that you need to succeed as a software engineer who specializes in AI applications.
IT Auditor
IT auditors examine an organization's IT systems and controls to ensure that they are secure and compliant with regulations. They may also make recommendations on how to improve the IT infrastructure. The course Artificial Intelligence for Finance, Accounting & Auditing will help you develop the skills you need to succeed as an IT auditor who uses AI to automate tasks, improve accuracy, and detect fraud.
Information Security Analyst
Information security analysts protect an organization's computer systems and networks from unauthorized access. They may also develop and implement security policies and procedures. The course Artificial Intelligence for Finance, Accounting & Auditing can help you build the foundation in AI and information security that you need to succeed as an information security analyst.
Fraud Investigator
Fraud investigators investigate allegations of fraud and financial misconduct. They may also work on projects to develop and implement fraud prevention programs. The course Artificial Intelligence for Finance, Accounting & Auditing will help you develop the skills you need to succeed as a fraud investigator who uses AI to detect and prevent fraud.
Compliance Officer
Compliance officers ensure that an organization complies with laws and regulations. They may also develop and implement compliance programs. The course Artificial Intelligence for Finance, Accounting & Auditing can help you build the foundation in AI and compliance that you need to succeed as a compliance officer.
Financial Planner
Financial planners help individuals and families plan for their financial future. They may also provide advice on investments, retirement planning, and estate planning. The course Artificial Intelligence for Finance, Accounting & Auditing can help you build the foundation in AI and financial planning that you need to succeed as a financial planner.
Actuary
Actuaries use mathematics and statistics to assess risk and uncertainty. They may work on projects to develop insurance products, retirement plans, or financial models. The course Artificial Intelligence for Finance, Accounting & Auditing can help you build the foundation in AI and actuarial science that you need to succeed as an actuary.
Statistician
Statisticians collect, analyze, and interpret data. They may work on projects to develop new statistical methods or apply statistical techniques to solve problems in various fields. The course Artificial Intelligence for Finance, Accounting & Auditing can help you build the foundation in AI and statistics that you need to succeed as a statistician.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Artificial Intelligence for Finance, Accounting & Auditing.
Provides a comprehensive overview of the field of pattern recognition and machine learning. The book is written by one of the leading experts in the field and classic textbook on the subject.
Provides a comprehensive overview of the field of deep learning. The book is written by three of the leading experts in the field and classic textbook on the subject.
Provides a comprehensive overview of the field of statistical learning. The book is written by three of the leading experts in the field and classic textbook on the subject.
Provides a comprehensive overview of machine learning techniques and their applications in the finance industry. The book is written in a clear and concise style, making it a great choice for anyone who is interested in learning more about machine learning.
Comprehensive guide to reinforcement learning. It is one of the most widely used textbooks on reinforcement learning. Though it is not specific to the accounting or auditing fields, it could be used as a reference for the more technical aspects of the course.
Provides a practical guide to the use of machine learning in business. The book is well-written and easy to understand, making it a great choice for anyone who is interested in learning more about machine learning.
Covers the basics of natural language processing and machine learning. It is one of the few books on the list that covers more of the technical implementation of AI and less of the business applications. It great reference for the natural language processing section of the course.
Covers the basics of speech and language processing. It is one of the few books on the list that covers more of the technical implementation of AI and less of the business applications. It great reference for the speech and language processing section of the course.
Covers the basics of computer vision. It is one of the few books on the list that covers more of the technical implementation of AI and less of the business applications. It great reference for the computer vision section of the course.
Covers the basics of the Internet of Things. It is not specific to the accounting or auditing fields but is one of the few books that cover the Internet of Things in a business context.
Is focused on how to implement AI successfully. As it is not specific to the accounting or auditing fields, and is more focused on the business aspects of implementing AI, it lower fit for this course.

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