Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Kelvin He's Credentials
- Kelvin He's Wallet
- Attention-based Models and Transformers for Natural Language Processing
- Track 1: Natural Language Processing
- Natural Language Processing and LLMs
- Final Exam: Natural Language Processing Fundamentals
- Using Docker for DevOps: Introduction to Docker
- Using Recurrent Networks For Natural Language Processing
- Using Out-of-the-Box Transformer Models for Natural Language Processing
- Natural Language Processing Using Deep Learning
- Fundamentals of NLP: Rule-based Models for Sentiment Analysis
- Fundamentals of NLP: Word Embeddings to Capture Relationships in Text
- Fundamentals of NLP: Representing Text as Numeric Features
- Fundamentals of NLP: Preprocessing Text Using NLTK & SpaCy
- Fundamentals of NLP: Introducing Natural Language Processing
- NLP with LLMs: Fine-tuning Models for Classification & Question Answering
- Track 2: Architecting LLM for your Technical solutions
- Final Exam: Architecting LLMs for Your Technical Solutions
- NLP with LLMs: Language Translation, Summarization, & Semantic Similarity
- NLP with LLMs: Hugging Face Classification, QnA, & Text Generation Pipelines
- NLP with LLMs: Working with Tokenizers in Hugging Face
- NLP with LLMs: Fine-tuning Models for Language Translation, & Summarization
- Exploring the Depths of Large Language Models in Generative AI
- MLOps with MLflow: Hyperparameter Tuning ML Models
- MLOps with MLflow: Registering & Deploying ML Models
- MLOps with MLflow: Creating & Tracking ML Models
- MLOps with MLflow: Getting Started
- Getting Started with MLOps
- Track 1: Intro to MLOps
- Kelvin He's Transcript
- Kelvin He's Wallet
- About Accredible