Unit 1: Understanding GenAI Model Architectures
Unit 2: KPIs for GenAI Model Evaluation
Unit 3: Deployment Strategies and Benchmarking
Advanced GenAI for Tech Product Development
Master the advanced techniques of GenAI to build innovative tech products, covering model selection, prompt engineering, integration, fine-tuning, and ethical considerations.
Unit 1: Foundations of Advanced Prompting
Unit 2: Chain-of-Thought Prompting
Unit 3: Prompt Ensembling and Optimization
Unit 4: Bias Mitigation and Style Control
Unit 1: Integrating GenAI Models
Unit 2: GenAI Model Deployment Strategies
Unit 3: Scalability, Reliability, and Monitoring
Unit 1: Introduction to Fine-Tuning
Unit 2: Transfer Learning Techniques
Unit 3: Reinforcement Learning from Human Feedback (RLHF)
Unit 4: Hyperparameter Optimization and Evaluation
Unit 1: Quantization Techniques
Unit 2: Pruning Techniques
Unit 3: Hardware Optimization
Unit 4: Parallelism and Distributed Training
Unit 1: Understanding Bias in GenAI
Unit 2: Privacy and Data Protection
Unit 3: Preventing Misuse of GenAI
Unit 4: Ethical Considerations
Unit 5: Regulations and Compliance