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.
Through 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.
By 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: AI and ML landscape overview Preview 16min
- Lesson 2: Supervised vs unsupervised learning Preview 19min
- Lesson 3: Prepare training data 15min
- Lesson 4: Train a baseline model 22min
- Lesson 5: Evaluate accuracy and bias 23min
Week 2: Data Preparation & Cleaning
- Lesson 1: Feature engineering practice 14min
- Lesson 2: Neural network intuition 22min
- Lesson 3: Work with pretrained models 22min
Week 3: Building Your First Model
- Lesson 1: Feature engineering practice 18min
- Lesson 2: Neural network intuition 10min
- Lesson 3: Work with pretrained models 25min
- Lesson 4: Prompting and LLM basics 19min
Week 4: Training & Evaluation
- Lesson 1: Feature engineering practice 17min
- Lesson 2: Neural network intuition 9min
- Lesson 3: Work with pretrained models 14min
Week 5: Advanced Algorithms
- Lesson 1: Feature engineering practice 20min
- Lesson 2: Neural network intuition 21min
- Lesson 3: Work with pretrained models 15min
- Lesson 4: Prompting and LLM basics 15min
Week 6: Neural Networks
- Lesson 1: Feature engineering practice 23min
- Lesson 2: Neural network intuition 19min
- Lesson 3: Work with pretrained models 24min
- Lesson 4: Prompting and LLM basics 11min