The "LLM Development Essentials: Build and Train Qwen 3 from Scratch (Video Course)" certification equips you to design, code, and train your own multilingual large language model using Qwen 3. By mastering these advanced techniques, you'll gain a competitive edge, enhance your adaptability, and open doors to higher income potential in the rapidly evolving AI landscape. Enroll now to future-proof your career and unlock new opportunities in large language model development.
This certification covers the following topics:
- Understanding Qwen 3 and its core architectural features
- Implementing advanced Transformer architectures
- Applying Grouped Query Attention (GQA)
- Utilizing SwiGLU activation functions
- Integrating Rotary Positional Embeddings (RoPE)
- Implementing RMS Normalization
- Optimizing training with the Muon optimizer
- Designing and preparing effective datasets
- Training Qwen 3 from data preprocessing to model building
- Measuring model performance with loss and perplexity metrics
- Managing computational constraints and hardware limitations
- Advanced inference techniques and output fine-tuning
