Generative AI
Course Curriculum
- Overview of Generative AI
- Generative AI vs Traditional AI
- Use Cases
- Understanding AI basics
- ML, DL and AI difference
- What is NLP
- History of NLP
- Workflow
- Tokenization
- Stemming & Lemmatization
- POS tagging
- TFIDF
- One hot encoding
- Bag of words
- Unigram, Bigram, N-gram
- Word2Vec
- RNN
- LSTM & GRU
- Transfer Learning
- Encoder-Decoder
- Attention Mechanism
- Transformer
- BERT
- LLM Basics
- Use Cases
- Text Generation
- Chatbots
- GANs
- Transformers
- RLHF
- Real-world applications of LLMs
- Instruction fine-tuning
- Single & multi-task tuning
- Model evaluation
- Benchmarks
- PEFT (LoRA, Soft prompts)
- Deployment Strategies
- Hardware Requirements
- GCP
- Azure
- AWS
- Hugging Face
- Responsible AI
- Ethical Issues
- Best Practices
