Introduction to Artificial Intelligence ( AI ) for Managers
This course is designed to provide managers, executives, and business leaders with a foundational understanding of Artificial Intelligence (AI) and its strategic applications in today’s business landscape. Without requiring a technical background, the course explores how AI technologies are transforming industries, enhancing decision-making, and creating new business models.
Prerequisites
You must be adept with 10th grade level high-school Math.
This course describes AI algorithms at a technical level. You need to be able to understand step-by-step descriptions of algorithms.
Though this is a non-coding introduction, some knowledge of programming will make it easier to understand the algorithms presented.
Technology Explained in Simple Terms
You will be able to apply these algorithms in your own projects: kNN, Stochastic Gradient Descent, Regularization, Support Vector Machines, Random Forests, Classification with Sigmoids, Multi-Layer Neural Nets, Deep Learning with Convolutional Neural Networks and Recurrent Nets, and Natural Language Processing with Word-Embeddings.
Real-world project:
You will build an AI system that detects cancer. The code is explained clearly line-by-line. No prior programming knowledge is required. This project is developed on Python with the Scikit-Learn library.
Experience:
The material in this course is built upon 15 years of my experience developing machine learning systems for industry projects.
Enroll today & accelerate your career with AI.
What you’ll learn
- Understand how AI works at a technical level. Manage machine learning and deep learning projects.
- Use AI libraries like Scikit-Learn
- Understand how Multi-layer Neural Networks learn features automatically
- Learn about deep learning algorithms like convolutional neural networks
Course content
Module 1: Introduction to AI
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What is Artificial Intelligence?
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History and evolution of AI
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Key terms: AI, Machine Learning, Deep Learning, Neural Networks
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Types of AI (Narrow, General, Superintelligence)
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AI vs Automation
Module 2: Business Applications of AI
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AI in Marketing, Finance, HR, and Operations
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Case Studies: AI in Retail, Healthcare, Banking, Manufacturing
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Customer insights and personalization
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Predictive analytics and demand forecasting
Module 3: Fundamentals of Machine Learning
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Supervised vs Unsupervised Learning
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Common ML algorithms (Decision Trees, Clustering, Regression)
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AI tools and platforms overview (e.g., Google AI, IBM Watson, Azure AI)
Module 4: AI Strategy for Business
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Identifying use cases and setting goals
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Building an AI roadmap
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Buy vs Build decisions
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Data strategy: importance of data in AI projects
Module 5: AI Project Lifecycle
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Steps in an AI project (from idea to deployment)
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Working with data scientists and tech teams
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Understanding model training and evaluation
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Measuring AI project ROI
Module 6: Ethics and Governance in AI
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Ethical implications of AI
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AI bias and fairness
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Data privacy and security
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Regulatory landscape and compliance
Module 7: The Future of AI in Business
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Trends shaping AI adoption
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Human-AI collaboration
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AI and digital transformation
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Preparing your workforce for AI
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Final Project
International student Fee : 300 $ | 1,125 SAR | 1,125 AED
Requirements
- Basic School Math at 10th grade level
- Basic knowledge of Algorithms.
- Be able to understand a technical description of an algorithm
Who this course is for:
AI Managers, Project Leaders, Directors, Vice-Presidents who have worked in technology, and need to learn AI quickly
International student Fee : 300 $ | 1,125 SAR | 1,125 AED
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Data Scientist Career
Job Interview Questions
- R Job Interview Questions and Answers
- Python Job Interview Questions and Answers
- Data Sciences Job Interview Questions and Answers
- Machine Learning Job Interview Questions
Job Interview Preparation (Soft Skills Questions & Answers)
- Tough Open-Ended Job Interview Questions
- What to Wear for Best Job Interview Attire
- Job Interview Question- What are You Passionate About?
- How to Prepare for a Job Promotion Interview
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Internships, Freelance and Full-Time Work opportunities
Flexible Class Options
- Week End Classes For Professionals SAT | SUN
- Corporate Group Trainings Available
- Online Classes – Live Virtual Class (L.V.C), Online Training
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