Mastering AI for Business, Marketing and Finance 2.0
Artificial Intelligence, AI, Marketing AI, AI in Business, AI in Finance
Business,Management,Leadership
Lectures -8
Duration -1 hours
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Course Description
The course "AI for Marketing, Business & Finance" provides a comprehensive, practical experience of how AI is changing the way we do business in these three large domains. The seven modules will engage students in how AI can improve marketing with personalization and predictive analytic; improve business transaction processes with automation and decision support; and revolutionize financial services with algorithmic trading and fraud detection Its learning will also cover CRM in AI; advanced methods of market analysis; ethical and regulatory issues; and emerging technologies, such as quantum computing. The participants will acquire the thinking and practical skill set to engage and innovate in the AI-enabled economy with a combination of theoretical and practical learning.
Course Summary:
The "AI for Marketing, Business, and Finance" course provides a full introduction to the disruptive capabilities of artificial intelligence across multiple domains. Students will examine the implications of AI facets such as predictive analytics and sentiment analysis, to improve customer understanding and personalization. The course also addresses the role of AI in business and the practice of robotic process automation and decision support systems, arming students with actionable knowledge to employ AI in workflow and decision-making processes.
Furthermore, this course delves into the use of AI in financial services, with an emphasis on algorithmic trading, risk management, and advanced fraud detection methods. Students will practice with AI-enhanced customer relationship management (CRM) systems and advancements in customer support along with market analysis methods such as predictive trends, or competitive intelligence. The course is collaborative, with a focus on ethical considerations and regulatory responsibilities to facilitate understanding of the larger context of AI developments. Finally, the course will also look to the future by discussing new developments such as changes in algorithms or the role of quantum computing in AI programs, thus preparing students for follow-on AI inventions.
In this specialized course, I plan to cover 7 key areas:
Module 1: Ai and Marketing Strategies
Module 2: Ai and Business Operations
Module 3: Ai in Financial Services
Module 4: Ai in Customer Relationship Management
Module 5: Ai in Market Analysis
Module 6: Ethical and Regulatory Issues
Module 7: Future Trends in Ai
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Goals
Learning outcomes:- Students will show the ability to utilize AI-enhanced consumer insights and predictive analytics to examine and predict consumer behavior, as well as demonstrate the ability to implement sentiment analysis within customer feedback and utilize adaptive content and real-time personalization solutions to enhance targeted marketing efforts.
- Students demonstrate the ability to use robotic process automation (RPA) to automate business processes and add AI-enabled functionality to enhance workflows.
- Students will also use AI as part of a strategic planning and data-informed decision-making processes to help create more productive, efficient, and effective organizations.
- Students will gain an understanding of the underpinnings of algorithmic trading, including high-frequency trading algorithms, as well as AI approaches to risk management.
- They will also be able to apply machine learning to identify fraud, and use anomaly detection to protect financial transactions.
- Students will acquire the ability to utilize AI-powered CRM tools for predictive sales analytics and customer churn prediction.
- Students will learn to leverage AI technologies to enable direct interactions with customers, as well as use chatbots, virtual assistants, and natural language processing for direct interactions with companies, and as AI enhancements to customer service.
- Students will begin to appreciate the ethical and regulatory aspects of AI, matters of bias, fairness, privacy, and data security, as well as readiness to operate within AI regulation and standards of compliance.
- In addition, they will explore new AI technologies, the development of AI algorithms, and the implications of quantum computing, and apply AI advancements to product development and disruptive business models.
Prerequisites
- The "AI for Marketing, Business, and Finance" course is designed for professionals and students across business, marketing, finance, and technology sectors who want to harness the power of artificial intelligence to drive innovation and efficiency. Ideal for business executives, marketing strategists, financial analysts, entrepreneurs, and graduate students, this course offers practical insights into AI-driven marketing strategies, business automation, financial technologies, customer relationship tools, and market analytics. It also addresses critical topics like ethical compliance and future trends, equipping participants with the skills and knowledge to confidently navigate and lead in an AI-powered business landscape. Basic knowlege need about AI and Business Management.

Curriculum
Check out the detailed breakdown of what’s inside the course
Mastering AI for Business, Marketing and Finance 2.0 - Lectures
8 Lectures
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Introduction 03:50 03:50
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AI in Marketing Strategies 17:05 17:05
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AI in Business Operations 12:15 12:15
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AI in Financial Services 11:19 11:19
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AI in Customer Relationship Management 10:51 10:51
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AI in Market Analysis 10:17 10:17
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Ethical and Regulatory Considerations 11:13 11:13
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Future Trends in AI 10:03 10:03
Instructor Details
Dr. Jose Prabhu J
Researcher and Professor of Business & ITAs a Premium Instructor on Udemy, Skillshare & Coursera, Dr. José J shares his wealth of knowledge and expertise through engaging online courses that inspire and transform learners from diverse backgrounds. With a dedication to innovation and a commitment to excellence, Dr. José J continues to make significant contributions to the realms of academia and online education.
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