13 modules(s) & 59 lesson(s)

• Module 1 - Introduction to AI and Its Business Applications

  • 1 - What is Artificial Intelligence?
  • 2 - History and Evolution of AI
  • 3 - Types of AI: Narrow vs. General AI
  • 4 - AI in Everyday Life
  • 5 - AI in Business: An Overview
• Module 2 - Identifying Opportunities for AI Implementation

  • 1 - Assessing Business Needs
  • 2 - Identifying Pain Points
  • 3 - Opportunities for Automation
  • 4 - Enhancing Customer Experience with AI
  • 5 - AI for Business Growth
• Module 3 - Understanding Different AI Technologies

  • 1 - Machine Learning Basics
  • 2 - Natural Language Processing (NLP)
  • 3 - Computer Vision
  • 4 - Robotic Process Automation (RPA)
  • 5 - AI in Data Analytics
• Module 4 - Selecting the Right AI Solutions for Your Business

  • 1 - Evaluating AI Solutions
  • 2 - Vendor Selection
  • 3 - Cost-Benefit Analysis
  • 4 - Scalability and Flexibility
  • 5 - Custom vs. Off-the-Shelf Solutions
• Module 5 - Integrating AI into Business Operations

  • 1 - Planning for AI Integration
  • 2 - Change Management
  • 3 - Training and Development
  • 4 - Technical Integration
  • 5 - Monitoring and Troubleshooting
• Module 6 - Data Management and Preparation for AI

  • 1 - Data Collection
  • 2 - Data Cleaning and Preprocessing
  • 3 - Data Storage Solutions
  • 4 - Data Security and Privacy
  • 5 - Data Annotation and Labeling
• Module 7 - Building and Training AI Models

  • 1 - Introduction to AI Model Building
  • 2 - Choosing the Right Algorithms
  • 3 - Training AI Models
  • 4 - Evaluating Model Performance
  • 5 - Model Optimization
• Module 8 - Implementing AI-Driven Decision Making

  • 1 - Introduction to AI-Driven Decision Making
  • 2 - AI in Predictive Analytics
  • 3 - Real-Time Decision Making
  • 4 - AI in Strategic Planning
  • 5 - Case Studies in AI-Driven Decision Making
• Module 9 - Monitoring and Evaluating AI Performance

  • 1 - Setting Performance Metrics
  • 2 - Continuous Monitoring
  • 3 - Performance Evaluation Techniques
  • 4 - Feedback Loops
  • 5 - Adjusting AI Models
• Module 10 - Ethical Considerations and Compliance in AI

  • 1 - Introduction to AI Ethics
  • 2 - Bias and Fairness in AI
  • 3 - Data Privacy and Security
  • 4 - Regulatory Compliance
  • 5 - Building Ethical AI
• Module 11 - Case Studies of AI in Small Businesses

  • 1 - Case Study: AI in Retail
  • 2 - Case Study: AI in Healthcare
  • 3 - Case Study: AI in Finance
  • 4 - Case Study: AI in Manufacturing
  • 5 - Case Study: AI in Marketing
• Module 12 - Future Trends in AI for Small Businesses

  • 1 - AI and the Future of Work
  • 2 - AI in Emerging Markets
  • 3 - AI and IoT
  • 4 - AI in Cybersecurity
• Module 13 - Completion