AI
Intermediate
AI & ML
Deep Learning Fundamentals
This comprehensive course will take you from beginner to confident practitioner in Deep Learning Fundamentals. You'll learn industry-standard techniques and best practices used by professionals worldwide.\\n\\nThrough hands-on projects and real-world examples, you'll gain the skills needed to succeed in today's competitive tech landscape. Our curriculum is designed by industry experts with years of experience.\\n\\nBy the end of this course, you'll have a portfolio of projects to showcase your abilities and the confidence to apply your knowledge in professional settings.
Course Syllabus
Week 1: Introduction to AI Concepts
- Lesson 1: Tensors Explained Preview 16min
- Lesson 2: Hands-On Overfitting Preview 19min
- Lesson 3: Working with Classification 15min
- Lesson 4: Hands-On Feature Engineering 22min
- Lesson 5: Mastering Neurons 23min
Week 2: Data Preparation & Cleaning
- Lesson 1: Practical Overfitting 14min
- Lesson 2: Tensors Explained 22min
- Lesson 3: Practical Classification 22min
Week 3: Building Your First Model
- Lesson 1: Building Neurons 18min
- Lesson 2: Classification Fundamentals 10min
- Lesson 3: Practical Tensors 25min
- Lesson 4: Mastering Overfitting 19min
Week 4: Training & Evaluation
- Lesson 1: Building Tensors 17min
- Lesson 2: Advanced Tensors Techniques 9min
- Lesson 3: Introduction to Tensors 14min
Week 5: Advanced Algorithms
- Lesson 1: Hands-On Feature Engineering 20min
- Lesson 2: Classification Explained 21min
- Lesson 3: Mastering Feature Engineering 15min
- Lesson 4: Deep Dive into Neurons 15min
Week 6: Neural Networks
- Lesson 1: Building Classification 23min
- Lesson 2: Introduction to Tensors 19min
- Lesson 3: Working with Tensors 24min
- Lesson 4: Mastering Feature Engineering 11min