All courses
🧠
AI & TechnologyAdvanced
Level 3: Advanced AI & Deep Learning
Master neural networks, computer vision, NLP and large language models.
Bilingual deep dive into modern AI: neural networks, computer vision, NLP, transformers and LLMs, reinforcement learning, and MLOps deployment.
8 Weeks
What you'll learn
- Explain how neural networks learn
- Build CV and NLP pipelines
- Understand transformers, attention and RAG
- Apply reinforcement learning
- Deploy and monitor models
Lessons
37 video lessons
- 112.1 What is Deep Learning?
- 212.2 Artificial Neurons
- 312.3 Neural Networks
- 412.4 Forward Propagation
- 512.5 Backpropagation
- 612.6 Activation Functions
- 713.1 Image Processing
- 813.2 Image Classification
- 913.3 Object Detection
- 1013.4 Facial Recognition
- 1113.5 OCR Systems
- 1213.6 Computer Vision Real-world Applications
- 1314.1 Text Processing
- 1414.2 Tokenization
- 1514.3 Embeddings
- 1614.4 Sentiment Analysis
- 1714.5 Text Classification
- 1814.6 Language Translation
- 1915.1 Transformers
- 2015.2 Attention Mechanism
- 2115.3 GPT Architecture
- 2215.4 Fine-Tuning
- 2315.5 RAG (Retrieval Augmented Generation)
- 2415.6 AI Agents
- 2516.1 Agent and Environment
- 2616.2 Rewards
- 2716.3 Policies
- 2816.4 Q-Learning
- 2916.5 Deep Reinforcement Learning
- 3016.6 Reinforcement Learning Applications
- 3117.1 Model Versioning
- 3217.2 Model Monitoring
- 3317.3 APIs
- 3417.4 Docker Basics
- 3517.5 Cloud Deployment
- 3617.6 Production AI Systems
- 37Advanced Project
Practice with AI Companion
Ask your AI tutor anything about this course and get guided, hands-on practice.
Open AI Companion