Artificial Intelligence (AI)&Machine learning(ML)

Course Title: Comprehensive Artificial Intelligence (AI) and Machine Learning (ML) Fundamentals Course Duration: 10 Weeks Course Overview: This 10-week course in Artificial Intelligence (AI) and Machine Learning (ML) is designed to provide participants with a solid foundation in the key concepts, algorithms, and applications of AI and ML. Covering both theoretical principles and practical implementations, this program equips learners with the skills required to harness the power of AI and ML in various domains. Prerequisites: Basic knowledge of programming (preferably Python) is recommended but not mandatory. A strong interest in AI and ML concepts and their practical applications is essential. Certification Requirements: Active participation in class discussions and activities Successful completion of weekly assignments and projects Completion of a comprehensive final project showcasing AI and ML skills Certification: Upon successful completion of the course, participants will be awarded a certified certificate in Artificial Intelligence and Machine Learning. This certificate validates the participant's understanding of AI and ML fundamentals, proficiency in Python programming for data science, and the ability to apply machine learning algorithms to solve real-world problems. Week 1-2: Introduction to AI and ML • Understanding the basics of AI and ML • Historical overview and current trends • Ethical considerations in AI Week 3-4: Python for AI and ML Introduction to Python programming for AI and ML NumPy and Pandas for data manipulation Data visualization with Matplotlib and Seaborn Week 5-6: Supervised Learning Basics of supervised learning Linear regression, logistic regression, and decision trees Model evaluation and validation Week 7-8: Unsupervised Learning Introduction to unsupervised learning Clustering algorithms (K-means, hierarchical clustering) Dimensionality reduction techniques Week 9-10: Applied AI and ML Introduction to neural network, more