Curriculum
Course:
Introduction to AI and Machine Learning
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Curriculum
Introduction to AI and Machine Learning
About the AI and Machine Learning Fundamentals
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Course Introduction
self-paced
Preview
Module 1: Introduction to AI
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Module 1 Overview
self-paced
Preview
What is Artificial Intelligence?
Lesson 1.1
Preview
Brief History and Evolution of AI
Lesson 1.2
Preview
Types of AI: Narrow vs. General AI
Lesson 1.3
Preview
Applications of AI in Various Industries
Lesson 1.4
Preview
Case Study: Implementing AI in Healthcare
self-paced
Preview
Quiz
10 questions
Module 2: Basics of Machine Learning
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Module 2 Overview
self-paced
What is Machine Learning?
Lesson 2.1
The Role of Data in Machine Learning
Lesson 2.3
Introduction to Python Programming Language and its Libraries for Machine Learning
Lesson 2.4
Case Study: Predicting Customer Churn in Telecom Industry
self-paced
Quiz
10 questions
Module 3: Supervised Learning
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Module 3 Overview
self-paced
Understanding Supervised Learning Concepts
Lesson 3.1
Linear Regression and Logistic Regression
Lesson 3.2
Implementing a Supervised Learning Model using scikit-learn
Lesson 3.3
Case Study: Predicting Patient Readmission in Healthcare
self-paced
Quiz
10 questions
Module 4: Unsupervised Learning
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Module 4 Overview
self-paced
Understanding Unsupervised Learning Concepts
Lesson 4.1
Clustering Algorithms: K-means, Hierarchical Clustering
Lesson 4.2
Dimensionality Reduction Techniques: PCA (Principal Component Analysis)
Lesson 4.3
Hands-on Exercise: Clustering Analysis on a Dataset using Python
Lesson 4.4
Case Study: Customer Segmentation for an E-commerce Platform
self-paced
Quiz
10 questions
Module 5: Deep Learning
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Module 5 Overview
self-paced
Introduction to Neural Networks
Lesson 5.1
Basics of Deep Learning
Lesson 5.2
Popular Deep Learning Frameworks: TensorFlow and PyTorch
Lesson 5.3
Hands-on Exercise: Building a Simple Neural Network using TensorFlow
Lesson 5.4
Case Study: Enhancing Customer Experience with Deep Learning
self-paced
Quiz
10 questions
Module 6: Natural Language Processing (NLP)
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Module 6 Overview
self-paced
Introduction to Natural Language Processing (NLP) and Its Applications
Lesson 6.1
Text Preprocessing Techniques
Lesson 6.2
Sentiment Analysis and Text Classification
Lesson 6.3
Hands-on Exercise: Building a Sentiment Analysis Model using NLP
Lesson 6.4
Case Study: Sentiment Analysis for Product Reviews
self-paced
Quiz
10 questions
Module 7: Reinforcement Learning
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Module 7 Overview
self-paced
Understanding Reinforcement Learning Concepts
Lesson 7.1
Markov Decision Processes (MDPs) and Q-learning
Lesson 7.2
Applications of Reinforcement Learning in Gaming and Robotics
Lesson 7.3
Hands-on Exercise: Implementing a Basic Reinforcement Learning Algorithm
Lesson 7.4
Case Study: Reinforcement Learning in Robotics
self-paced
Quiz
10 questions
Module 8: Real-world Applications of AI and ML
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Module 8 Overview
self-paced
Healthcare - Predictive Analytics and Personalized Medicine
Lesson 8.1
Finance: Algorithmic Trading and Fraud Detection
Lesson 8.2
Autonomous Vehicles: Self-Driving Cars and Drones
Lesson 8.3
Smart Assistants: Voice Recognition and Natural Language Understanding
Lesson 8.4
Case Study: AI and ML in Healthcare
self-paced
Case Study: Enhancing Customer Experience Through AI-Powered Chatbots
self-paced
Case Study: Predictive Maintenance in Manufacturing
self-paced
Case Study: AI and ML in Finance
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Case Study: AI and ML in Education
self-paced
Quiz
10 questions
Module 9: Ethical Considerations in AI
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Module 9 Overview
self-paced
Bias and Fairness in AI Algorithms
Lesson 9.1
Privacy Concerns and Data Security
Lesson 9.2
Transparency and Accountability in AI Systems
Lesson 9.3
Case Studies and Discussions on Ethical Dilemmas in AI
Lesson 9.4
Case Study: Mitigating Bias in Hiring Algorithms
self-paced
Quiz
10 questions
Module 10: Future Trends in AI and ML
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Module 10 Overview
self-paced
Emerging Technologies - Quantum Computing and AI
Lesson 10.1
AI in Space Exploration and Scientific Research
Lesson 10.2
The Future of Work: Automation and Job Displacement
Lesson 10.3
Opportunities and Challenges in the Future of AI
Lesson 10.4
Career Opportunities in AI and Machine Learning
Lesson 10.5
Case Study: Leveraging AI and ML in Sustainable Agriculture
self-paced
Use Cases
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Use Case: AI and Machine Learning in Healthcare in Nigeria
self-paced
Preview
Final Assessment and Feedback
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Capstone Project (Optional)
self-paced
Final Assessment
20 questions
Additional Resources
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Implementation Guide
self-paced
Practical Tips
self-paced
Career Roadmap
self-paced
The Fascinating World of Cellular Organization
Text lesson
Concept of Living
Text lesson
Text lesson
Types of AI: Narrow vs. General AI
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