- Introduction to AI Tools
- Overview of AI Tools: Categories of AI Tools, Criteria for Selecting AI Tools.
- Setting Up Your Development Environment: Required Software and Hardware, Working with IDEs and Notebooks.
- Machine Learning Tools
- Scikit-Learn: Introduction, Basic Features and Functions, Hands-On Projects.
- TensorFlow and Keras: Introduction, Building Neural Networks, Advanced Features.
- PyTorch: Introduction, Building and Training Models, Advanced Applications.
- Deep Learning Tools
- Deep Learning Frameworks: Comparison of Frameworks, Selecting the Right Framework.
- Keras for Deep Learning: Sequential and Functional API, Training and Tuning Models.
- OpenAI Gym: Introduction, Reinforcement Learning Environments, Hands-On Projects.
- Natural Language Processing (NLP) Tools
- NLTK (Natural Language Toolkit): Introduction, Text Processing and Analysis, Building NLP Pipelines.
- spaCy: Introduction, Advanced NLP Tasks, Hands-On Projects.
- Transformers (Hugging Face): Introduction, Pre-trained Models, Custom NLP Applications.
- Computer Vision Tools
- OpenCV: Introduction, Basic Image Processing, Advanced Computer Vision.
- TensorFlow and PyTorch for Computer Vision: Image Classification and Segmentation, Transfer Learning, Hands-On Projects.
- Data Visualization Tools
- Matplotlib and Seaborn: Introduction, Creating Plots and Charts, Customizing Visualizations.
- Plotly: Introduction, Interactive Visualizations, Hands-On Projects.
- Tableau: Introduction, Creating Dashboards, Data Integration and Analysis.
- AutoML Tools
- Google AutoML: Introduction, Automated Model Building, Evaluation and Deployment.
- H2O.ai: Introduction, AutoML Features, Hands-On Projects.
- Cloud AI Platforms
- Google Cloud AI: Introduction, Using AI Services, Deploying AI Solutions.
- AWS AI Services: Introduction, AI and Machine Learning Services, Hands-On Projects.
- Azure AI: Introduction, AI and Machine Learning Services, Deploying AI Solutions.
- Ethical Considerations and Best Practices
- Ethical Use of AI Tools: Bias and Fairness, Privacy and Security.
- Best Practices: Effective Tool Usage, AI Project Management.
