1 -Goal setting for AI agents

2 -Environment modeling

3 -Decision making algorithms

4 -Learning algorithms

5 -Ai Agent Design Principles - Demo

1 -Problem formulation

2 -Data collection and preprocessing

3 -Training and evaluation

4 -AI Agent Development Process - Demo

1 -Machine Learning Libraries

2 -Reinforcement Learning frameworks

3 -Data Visualization tools

4 -Tools for developing AI agents - Demo

1 -Problem statement

3 -Model development

4 -Evaluation and optimization

5 -Building A Simple Ai Agent - Demo

1 -Deep Reinforcement Learning

2 -Natural Language Processing for AI agents

3 -Neural Network architectures

4 -Transfer learning in AI agents

5 -Advanced Ai Agent Development - Demo

1 -Integration with web applications

2 -Scalability considerations

3 -Security aspects

4 -Deploying Ai Agents - Demo

1 -AI agent in healthcare

2 -AI agent in finance

3 -AI agent in gaming

4 -AI agent in autonomous vehicles

5 -Building an AI agent - Demo

1 -Bias in AI agents

2 -Privacy concerns

3 -Transparency and accountability

4 -Regulatory implications

1 -Emerging trends in AI agent development

2 -AI agent collaboration

3 -Human-AI interaction

4 -Ethical AI design principles

5 -The future of AI agents - Demo

1 -Model training and testing

2 -Deploying the AI agent

3 -Interactive session with the AI agent