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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study, Virtual Classroom	Video and Text Based

Course Overview

The course titled AI-led Business Strategies focuses on the integration of Artificial Intelligence (AI) technologies and strategies into various aspects of business operations. The course aims to equip participants with the knowledge and skills required to leverage AI effectively to enhance business performance, drive innovation, and gain a competitive edge in the market.

The programme is tailored for professionals seeking to enhance their understanding and broaden their expertise in AI and its practical applications within business contexts and strategies. AI-led Business Strategies certification by Emeritus is a 2-month intensive course delivered online. It requires the participants to dedicate 4-6 hours each week. The programme caters to professionals who have a desire to further their knowledge and expertise in AI, focusing on its implementation in business scenarios and strategies.

The AI-led Business Strategies certification course is offered by the Singapore Management University. The course includes 8 modules of live teaching, along with assignments, case studies, industry examples and discussion boards to provide participants with a comprehensive learning experience. Participants will have access to real-world industry examples and world-class faculty.

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The Highlights

2-Month Programme
4-6 Weekly Hours
Online Curriculum
Offered by SMU
8 Modules

Programme Offerings

Case Studies
Industry Projects
Live lessons
Discussion boards
assignments

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	Singapore Management University, Singapore

The AI-led Business Strategies certification fees is US$ 2000. The specified fees is exclusive of GST.

Fee Structure

Course Name	Fees
AI-led Business Strategies	US$ 2000+ GST

Eligibility Criteria

Certification Qualifying Details

Upon successful completion of the AI-led Business Strategies classes, a digital smart certificate issued by Singapore Management University is provided to the candidate.

What you will learn

After completing the AI-led Business Strategies certification syllabus, participants will be well-equipped with the basic and complex fundamentals of artificial intelligence and machine learning and their application in business. They will explore various business use cases where AI can be applied, such as customer engagement, marketing, sales, supply chain management, and operations optimization.

Furthermore, by completing the AI-led Business Strategies online course, they will be introduced to various ML algorithms used for data analysis, prediction, and decision-making in business contexts. Participants will understand how AI and ML algorithms can assist in making data-driven business decisions, such as pricing, resource allocation, and risk assessment.

Additionally, AI-led Business Strategies training will delve into the significant role of AI in automating mundane and repetitive tasks that consume valuable time and resources within business operations. By leveraging AI technologies, the participants will discover how to streamline and optimize various business processes, increasing overall efficiency and productivity.

Who it is for

Financial AnalystManagement ConsultantIT ConsultantFinance ExecutiveMarketing DirectorApplication Developer

By taking the AI-led Business Strategies online course, professionals from a wide range of industries can benefit in their careers. Professionals involved in multiple fields can take advantage of the course material in the programme. Some of the professionals who can benefit from taking this course are:

The Syllabus

Explore the impact of different data types and analytics for business, how to determine if your organisation is data-driven, and the best practices for AI and ML: Strategies and Frameworks for Decision-Making.

Understand differences between regression and classification, facets of machine learning and neural networks, supervised and unsupervised learning principles, the impact of transformer-based architecture on language understanding, and representation learning models.

Gain a deeper understanding of machine learning techniques and workflow; how to analyse neural networks and deep learning; and effective evaluation of AI applications in retail, healthcare, manufacturing, and service sectors.

Continue to examine how AI is applied across sectors, including in finance, energy, education , and security sectors; the benefits and limitations of AI; and how AI can be leveraged as a driver for AI and ML: Strategies and Frameworks for Decision-Making.

Explore AI strategies and potential reasons for failure, build vs. buy platforms, various facets of the future of AI, and how to identify and align AI opportunities with business strategies.

Build your knowledge of the machine learning life cycle; feature engineering and differentiation between nominal, ordinal, and text data; analysing model evaluation with regard to training, validation, and metrics; model deployment and database design; and how random forest can improve decision trees by reducing overfitting.

Examine the concept of ethics and its significance for organisations; the purpose and relevance of ethical codes and guidelines with regards to AI and ML: Strategies and Frameworks for Decision-Making; addressing potential challenges involved in ethics and industry applications; and the values and ideas related to AI and ML: Strategies and Frameworks for Decision-Making, technology, data, and ethics.

Dive into guidelines for ethics and trust related to AI, regulatory governance in the development and deployment of AI, AI-specific regulations in law, personal data protection and the impact of AI on data rights and obligations, the role of AI in eCommerce and the legality of electronic advertising and marketing, and how to devise an organisational plan to improve AI compliance.