INTRODUCTION TO DEEP LEARNING FOR PROFESSIONALS
- What is Artificial Intelligence, Machine Learning, and Deep Learning?
- Why Deep Learning Matters for Businesses.
- Key Terminologies Simplified.
- Examples of Deep Learning in Everyday Life.
UNDERSTANDING NEURAL NETWORKS WITHOUT CODING
- How Neural Networks Mimic the Human Brain.
- Basic Components: Layers, Neurons, and Connections.
- Simplified Explanation of How Models Learn.
- Real-World Examples of Neural Networks.
DEEP LEARNING IN ACTION
- Steps in a Deep Learning Workflow.
- Role of Data in Deep Learning Models.
- Examples of Common Deep Learning Applications:
- Image Recognition, Natural Language Processing.
- Benefits and Challenges of Deep Learning.
EVALUATING DEEP LEARNING MODELS
- Simplified Metrics: Accuracy, Precision, Recall.
- Understanding Model Limitations.
- Examples of Business Insights from Model Outputs.
- Use Cases of Model Evaluation in Decision-Making.
APPLICATIONS OF DEEP LEARNING IN BUSINESS
- Deep Learning for Customer Behavior Analysis.
- Predictive Models for Demand Forecasting.
- Use Cases in Energy, Finance, and Healthcare sectors.
- Benefits of Aligning AI with Business Goals.
ETHICAL AND STRATEGIC CONSIDERATIONS
- The Importance of Responsible AI Use.
- Addressing Bias and Fairness in Deep Learning Models.
- Ensuring Data Privacy and Compliance.
- Strategic Steps to Integrate Deep Learning into Business Initiatives.
