Introduction to AI in Business

1. Understand AI and Machine Learning basics.

2. Discuss modern business role of AI.

3. Embrace tools without fear of replacement.

Machine Learning Fundamentals

1. Introduce mathematical basics in AI.

2. Explore supervised and unsupervised learning.

3. Examine algorithms like regression and clustering.

4. Review a business case study on Machine Learning.

AI in Business Decision-Making

1. Identify AI's value in business sectors.

2. Learn predictive analytics basics.

3. Review AI tools and business outcomes.

Generative AI and GPT Exploration

1. Distinguish Generative AI and GPT from other AI.

2. Analyze GPT's text generation capability.

3. Solve problems using GPT tools.

Understanding Neural Networks

1. Explain neural networks structure and types.

2. Discuss learning processes like backpropagation.

3. Address ethical issues in neural networks.

Exploring Natural Language Processing (NLP)

1. Define NLP applications and methods.

2. Conduct sentiment analysis exercises.

AI for Media Processing

1. Learn about AI in image and audio analysis.

2. Conduct hands-on image recognition exercises.

Technical Tools for Business AI

1. Apply AI in data science with Python, NumPy.

2. Explore cloud solutions: Azure, Google, AWS.

Future of AI in Business

1. Investigate future AI trends and their implications.

2. Discuss ethical considerations in AI deployment.

Continuing Your AI Journey

1. Engage with further AI & ML resources and communities.