AI
Intermediate
AI & ML
PyTorch Deep Learning
Embark on your learning journey with PyTorch Deep Learning. 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: Introduction to Classification Preview 12min
- Lesson 2: Tensors Fundamentals Preview 16min
- Lesson 3: Working with Overfitting 8min
- Lesson 4: Working with Gradient Descent 9min
- Lesson 5: Mastering Overfitting 25min
- Lesson 6: Introduction to Tensors 9min
Week 2: Data Preparation & Cleaning
- Lesson 1: Hands-On Gradient Descent 21min
- Lesson 2: Practical Gradient Descent 17min
- Lesson 3: Hands-On Feature Engineering 19min
Week 3: Building Your First Model
- Lesson 1: Introduction to Tensors 14min
- Lesson 2: Classification Fundamentals 15min
- Lesson 3: Advanced Gradient Descent Techniques 16min
- Lesson 4: Deep Dive into Feature Engineering 11min
Week 4: Training & Evaluation
- Lesson 1: Introduction to Tensors 24min
- Lesson 2: Mastering Feature Engineering 9min
- Lesson 3: Deep Dive into Overfitting 25min
Week 5: Advanced Algorithms
- Lesson 1: Hands-On Neurons 10min
- Lesson 2: Building Feature Engineering 23min
- Lesson 3: Overfitting Explained 12min
- Lesson 4: Classification Explained 24min
- Lesson 5: Advanced Tensors Techniques 21min
Week 6: Neural Networks
- Lesson 1: Practical Neurons 22min
- Lesson 2: Deep Dive into Classification 17min
- Lesson 3: Tensors Fundamentals 25min
- Lesson 4: Mastering Tensors 24min
- Lesson 5: Classification Fundamentals 13min
- Lesson 6: Understanding Neurons 14min