AI in Python
Key Features
- A practical and time-efficient learning experience
- Learn by doing with step-by-step coding sessions
- Explore popular Python libraries like NumPy, Pandas, Scikit-learn, and TensorFlow
- Earn an industry-recognized certificate to showcase your Python AI skills
About
Learn how to harness the power of Python to build Artificial Intelligence applications in just 30 days. This hands-on course will teach you to use Python’s libraries and tools to implement AI concepts, build models, and solve real-world problems with code.
Modules
- Day 1: Python’s Role in AI
- Day 2: Setting Up Your AI Environment
- Day 3: Python Basics for AI
- Day 4: Introduction to Python Libraries
- Day 5: Data Visualization in Python
- Day 6: Quiz and Recap
- Day 7: Mini Project 1
- Day 8: Understanding Data for AI
- Day 9: Working with NumPy
- Day 10: Data Manipulation with Pandas
- Day 11: Data Preprocessing
- Day 12: Hands-On Data Preparation
- Day 13: Quiz and Recap
- Day 14: Mini Project 2
- Day 15: Introduction to Machine Learning in Python
- Day 16: Supervised Learning Models
- Day 17: Model Evaluation Metrics
- Day 18: Unsupervised Learning Models
- Day 19: Practical Coding: Training ML Models
- Day 20: Quiz and Recap
- Day 21: Mini Project 3
- Day 22: Introduction to Neural Networks
- Day 23: Training a Neural Network
- Day 24: Real-World AI Applications in Python
- Day 25: Group Project Kickoff
- Day 26: Implementing the Group Project
- Day 27: Finalizing and Presenting Your Project
- Day 28: Course Review and Final Quiz
- Day 29: Certification and Portfolio Tips
- Day 30: Career Guidance Session