Diploma in AI in Business With Practical Applications – Live Online, Part Time Evening Course

Introduction to AI in Business

• Overview of AI: Definition, History, and Evolution
• AI vs. Machine Learning vs. Deep Learning
• AI’s Impact on Business Today
• Opportunities and Challenges of AI in Business
• Practical: Introduction to AI Tools (e.g., Google Colab, Jupyter Notebooks)

Mathematical Foundations of AI

• Linear Algebra: Vectors, Matrices, and Transformations
• Probability and Statistics: Concepts and Applications in AI
• Calculus: Derivatives and Integrals in Optimization
• Overview of Algorithms: Understanding Complexity and Efficiency
• Practical: Implementing Basic Mathematical Concepts in Python (e.g., using NumPy)

Python for AI in Business

• Introduction to Python: Basics, Data Structures, and Libraries
• Python for Data Analysis: Pandas, Matplotlib, and Seaborn
• Introduction to Machine Learning with Scikit-Learn
• Practical: Developing a Simple Machine Learning Model (e.g., Linear Regression for Sales Prediction)

AI Technologies and Tools

• Natural Language Processing (NLP): Text Analysis and Chatbots
• Computer Vision: Image Recognition and Processing
• Predictive Analytics and Business Intelligence
• Practical: Implementing NLP and Computer Vision Projects in Python (e.g., Sentiment Analysis, Image Classification)

AI in Marketing

• Personalization and Customer Segmentation using AI
• AI-Powered Marketing Automation
• Predictive Analytics for Market Trends
• Practical: Develop a Marketing Campaign Strategy Using AI (e.g., Predictive Customer Segmentation)

AI in Finance

• AI in Financial Forecasting and Risk Management
• Fraud Detection using AI
• Automated Trading and Robo-Advisors
• Practical: Building a Financial Model in Python (e.g., Time Series Forecasting for Stock Prices)

AI in Operations and Process Automation

• AI in Supply Chain Optimization
• Predictive Maintenance using AI
• Robotic Process Automation (RPA) and AI
• Practical: Automate a Business Process using RPA Tools (e.g., UiPath) and Python Scripting for Process Optimization

AI in Human Resources

• AI in Recruitment and Talent Management
• Employee Performance Analytics
• AI for Learning and Development
• Practical: Develop an AI-Based Recruitment Tool (e.g., Resume Screening Algorithm in Python)

Ethical and Legal Considerations in AI

• Ethical Issues in AI: Bias, Privacy, and Transparency
• Legal Implications of AI in Business
• AI Governance and Compliance
• Practical: Conduct a Case Study on Ethical AI, identifying and mitigating bias in AI models

Capstone Project: AI Application in Business

• Students work on a real-world business problem, applying AI techniques learned throughout the course.
• Projects could include developing an AI-driven marketing strategy, automating a financial forecasting process, or optimizing an operations workflow using AI.
• Practical: Full project lifecycle from problem definition, data acquisition, model development, and deployment.

On successful completion of this course you will receive a Professional Diploma qualification that is certified and awarded by the ICM (Institute of Commercial Management).

The Institute of Commercial Management was founded in 1979 and is one of the leading Professional Examination and Certification Bodies in the world today. Fitzwilliam Institute have developed and provided practical skills training courses in liaison with the Institute of Commercial Management qualifications and certifications framework for over 25 years. The Institute of Commercial Management certifications and continual professional development training awards are recognised by leading industries, bodies and professions.

next start date: 31st March 2025 (Monday)

Course Fees: €1,395.00

To secure your place on the course a deposit of €276.00 is required. The remainder of the course fee, €1,119.00, is due 30 days prior to the commencement of the course. All fees must be paid before the course begins. Please note, the full course fees are inclusive of all course materials and certification costs.

Enrolment intake is strictly limited on this course. Early application is advised. Places are allocated on a first come, first served basis.

We want to make education easy and enjoyable for you. At Fitzwilliam Institute, we offer a range of finance options to suit your needs.

You can buy now and pay later with humm - humm provides a simple application process, simple terms and conditions, and up to 36 monthly payments with low interest rates.

Fitzwilliam Institute closes on Bank Holidays and for a number of days at Christmas and New Year. Fitzwilliam Institute reserves the right to postpone, cancel, or alter courses without notice or to change any of the details in this brochure. Fees are not refundable unless the course is cancelled by the Fitzwilliam Institute. Distance Learning courses are provided by Fitzwilliam Institute - BGLS Ltd.