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.
You'll gain hands-on experience through interactive coding exercises, quizzes, and real-world projects. Our community forum provides support whenever you need it.
Invest in your future today and join the next generation of African tech leaders.
Course Syllabus
Week 1: Introduction to AI Concepts
- Lesson 1: AI and ML landscape overview Preview 12min
- Lesson 2: Supervised vs unsupervised learning Preview 16min
- Lesson 3: Prepare training data 8min
- Lesson 4: Train a baseline model 9min
- Lesson 5: Evaluate accuracy and bias 25min
- Lesson 6: Ship an ML-assisted feature 9min
Week 2: Data Preparation & Cleaning
- Lesson 1: Feature engineering practice 21min
- Lesson 2: Neural network intuition 17min
- Lesson 3: Work with pretrained models 19min
Week 3: Building Your First Model
- Lesson 1: Feature engineering practice 14min
- Lesson 2: Neural network intuition 15min
- Lesson 3: Work with pretrained models 16min
- Lesson 4: Prompting and LLM basics 11min
Week 4: Training & Evaluation
- Lesson 1: Feature engineering practice 24min
- Lesson 2: Neural network intuition 9min
- Lesson 3: Work with pretrained models 25min
Week 5: Advanced Algorithms
- Lesson 1: Feature engineering practice 10min
- Lesson 2: Neural network intuition 23min
- Lesson 3: Work with pretrained models 12min
- Lesson 4: Prompting and LLM basics 24min
- Lesson 5: Guardrails and evaluation 21min
Week 6: Neural Networks
- Lesson 1: Feature engineering practice 22min
- Lesson 2: Neural network intuition 17min
- Lesson 3: Work with pretrained models 25min
- Lesson 4: Prompting and LLM basics 24min
- Lesson 5: Guardrails and evaluation 13min
- Lesson 6: Build a small AI project 14min