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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.
Read more
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.
Read more
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)
Register for this course and see more details by visiting:
OpenCourser.com/course/n52143/artificial
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)
- 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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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
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause 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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Reviews summary
Ai fundamentals for finance professionals
According to students, this course offers a largely positive overview of Artificial Intelligence applications tailored for finance, accounting, and auditing professionals. Learners especially appreciate the code-free, hands-on exercises with various AI software, making complex topics accessible. The course provides a broad introduction to eight key AI techniques, focusing on their practical relevance through dedicated case studies. While many find it an excellent starting point for understanding AI's impact on their careers, some learners indicate that the breadth comes at the expense of deep technical dives into each subject, suggesting it serves more as a foundational overview.
Offers direct interaction with various industry-standard AI software.
"Working with IBM Watson and RapidMiner provided concrete examples of AI in action."
"The step-by-step guides for tools like Automation Anywhere were very useful for practical understanding."
"I enjoyed the labs using specific software; it made the theoretical concepts much more tangible."
Introduces a wide range of AI techniques in one course.
"It was fantastic to get a 360-degree view of AI, covering everything from chatbots to machine learning."
"I now have a good understanding of eight different AI techniques and their potential uses."
"The course touched on many relevant AI areas, providing a solid foundational knowledge across the board."
Makes complex AI concepts accessible to non-programmers.
"I really valued that this course was code-free, allowing me to focus on concepts without programming barriers."
"As someone from an accounting background, the no-coding hands-on parts were incredibly helpful for understanding AI tools."
"The instructor clearly explained AI without getting bogged down in complex code, perfect for business professionals."
Directly applies AI concepts to finance, accounting, and auditing.
"The case studies and examples specifically for finance and auditing were highly relevant to my daily work."
"I appreciated how the course constantly tied AI techniques back to real-world business scenarios in accounting."
"This course helped me see exactly how AI can impact my role in auditing, providing actionable insights."
Rapid evolution of AI may lead to some outdated sections.
"Given the rapid pace of AI, I found that some of the software interfaces or examples were slightly out of date."
"It would be beneficial if the course was regularly updated to reflect the latest advancements in AI tools."
"I had a minor issue with one of the hands-on exercises because the software version had changed since the video was recorded."
Provides a comprehensive overview but lacks advanced technical depth.
"While broad, I felt some topics, like Machine Learning, could have been covered in more depth for practical application."
"It's a good introductory course, but for advanced users or those looking to implement complex solutions, it might be too superficial."
"I would have preferred a deeper dive into one or two AI techniques instead of a quick tour through many."
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
Show steps
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'
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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.
Review linear algebra concepts
Show steps
Review the fundamentals of linear algebra to strengthen your understanding of the mathematical concepts used in AI.
Browse courses on
Linear Algebra
Show steps
Show steps
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'
Show steps
Gain a comprehensive understanding of AI concepts and algorithms by reading this foundational textbook.
View
Melania
on Amazon
Show steps
Show steps
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
Show steps
Enhance your understanding of chatbot development by following guided tutorials and building a functional chatbot using Google Dialogflow.
Browse courses on
Chatbots
Show steps
Show steps
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
Show steps
Engage with peers and clarify concepts by participating in regularly scheduled study groups.
Show steps
Show steps
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
Show steps
Reinforce your machine learning knowledge by solving coding challenges on platforms like LeetCode or Kaggle.
Browse courses on
Machine Learning
Show steps
Show steps
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
Show steps
Synthesize your knowledge of AI and its applications by creating a presentation tailored to your specific industry.
Browse courses on
AI Applications
Show steps
Show steps
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
Show steps
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
Show steps
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
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 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
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 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 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 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 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 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 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 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 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 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 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
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
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.
For more career information including salaries, visit:
OpenCourser.com/course/n52143/artificial
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.
Save
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.
Save
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.
Save
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/n52143/artificial
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