Technical Course – Artificial Intelligence & Machine Learning Course 9 Sections33 Lessons8 Quizzes8 Weeks
Curriculum
- 9 Sections
- 33 Lessons
- 8 Weeks
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- Module 1: Introduction to Artificial Intelligence & Machine Learning6 ItemsThis module introduces the fundamentals of Artificial Intelligence (AI) and Machine Learning (ML). It covers the key concepts, types of ML, and real-world applications.
- 1.1Definition and Scope of AI & ML
- 1.2Differences: AI vs. ML vs. Deep Learning vs. Data Science
- 1.3Types of ML: Supervised, Unsupervised, Reinforcement Learning
- 1.4Industry Applications: Healthcare, Finance, Retail, Autonomous Vehicles, etc.
- 1.5Real-World Example: Netflix Recommendation System
- 1.6Quiz #110 Minutes3 Questions
- Module 2: Python for AI & ML4 ItemsThis module provides a strong foundation in Python programming, focusing on essential libraries for AI & ML.
- Module 3: Data Preprocessing & Feature Engineering5 ItemsThis module covers techniques to clean and preprocess raw data to improve ML model accuracy.
- Module 4: Supervised Learning – Regression & Classification4 ItemsThis module focuses on supervised learning techniques used for prediction and classification.
- Module 5: Unsupervised Learning – Clustering & Dimensionality Reduction4 ItemsThis module covers methods to uncover hidden patterns in unlabeled data.
- Module 6: Deep Learning & Neural Networks6 ItemsThis module introduces deep learning concepts and neural networks, including CNNs for image processing.
- Module 7: Natural Language Processing (NLP)5 ItemsThis module focuses on processing and analyzing textual data.
- Module 8: Model Deployment & AI Ethics6 ItemsThis module teaches how to deploy AI models and explores ethical considerations in AI.
- Maximize Your Investment with MEH1 Item