AI
Intermediate
AI & ML
Natural Language Processing
Embark on your learning journey with Natural Language Processing. This course is designed to be accessible to beginners while providing enough depth to challenge experienced learners.\\n\\nYou'll gain hands-on experience through interactive coding exercises, quizzes, and real-world projects. Our community forum provides support whenever you need it.\\n\\nInvest in your future today and join the next generation of African tech leaders.
Course Syllabus
Week 1: Introduction to AI Concepts
- Lesson 1: Building Neurons Preview 19min
- Lesson 2: Mastering Feature Engineering Preview 19min
- Lesson 3: Mastering Gradient Descent 12min
- Lesson 4: Advanced Feature Engineering Techniques 8min
- Lesson 5: Mastering Overfitting 18min
Week 2: Data Preparation & Cleaning
- Lesson 1: Feature Engineering Fundamentals 14min
- Lesson 2: Introduction to Overfitting 12min
- Lesson 3: Building Classification 20min
- Lesson 4: Hands-On Neurons 22min
Week 3: Building Your First Model
- Lesson 1: Gradient Descent Explained 15min
- Lesson 2: Advanced Neurons Techniques 23min
- Lesson 3: Understanding Classification 12min
- Lesson 4: Gradient Descent Best Practices 19min
Week 4: Training & Evaluation
- Lesson 1: Understanding Neurons 21min
- Lesson 2: Building Neurons 19min
- Lesson 3: Mastering Overfitting 9min
- Lesson 4: Practical Classification 23min
Week 5: Advanced Algorithms
- Lesson 1: Mastering Gradient Descent 19min
- Lesson 2: Deep Dive into Feature Engineering 18min
- Lesson 3: Practical Overfitting 20min
- Lesson 4: Practical Tensors 22min
- Lesson 5: Working with Neurons 14min
- Lesson 6: Deep Dive into Feature Engineering 23min
Week 6: Neural Networks
- Lesson 1: Tensors Explained 10min
- Lesson 2: Practical Tensors 10min
- Lesson 3: Deep Dive into Feature Engineering 18min
- Lesson 4: Deep Dive into Overfitting 24min
- Lesson 5: Deep Dive into Overfitting 15min
- Lesson 6: Working with Feature Engineering 11min