This comprehensive course is designed for individuals who want to delve into the exciting world of Artificial Intelligence using the Python programming language. Participants will learn the fundamentals of AI, machine learning, and deep learning, and gain hands-on experience in implementing AI solutions with Python.
Course Duration: 10 weeks
Module 1: Introduction to AI and Python (Week 1-2)
· Overview of Artificial Intelligence and its applications
· Introduction to Python programming basics
· Setting up the development environment
Module 2: Foundations of Machine Learning (Week 3-4)
· Understanding supervised and unsupervised learning
· Feature engineering and data preprocessing
· Introduction to popular Python libraries: NumPy, Pandas, and Matplotlib
Module 3: Machine Learning Algorithms (Week 5-6)
· Linear regression, logistic regression, and decision trees
· Support Vector Machines (SVM) and k-Nearest Neighbors (k-NN)
· Model evaluation and hyperparameter tuning
Module 4: Deep Learning with TensorFlow and Keras (Week 7-8)
· Introduction to neural networks and deep learning
· Building and training neural networks with TensorFlow and Keras
· Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN)
Module 5: Natural Language Processing (Week 9-10)
· Text preprocessing and feature extraction
· Building and training NLP models with Python
· Sentiment analysis and language generation
Assessment and Certification:
· Weekly coding assignments and quizzes
· Machine learning and deep learning projects
· Final AI project showcasing comprehensive skills
· Certificate of Proficiency in AI with Python Programming upon successful completion
Resources:
· Recommended readings, online tutorials, and documentation
· Access to datasets for hands-on practice
· Community forums for collaboration and knowledge-sharing
Enrollment:
· Open enrollment throughout the year
· Access to course materials and resources for an additional 3 months post-completion
