Build AI Agents and RAG Pipelines Without Code
About This Course
This WSQ Build AI Agents and RAG Pipelines Without Code empowers learners to create intelligent AI solutions using natural language processing (NLP) techniques and the Hugging Face framework. Participants will explore real-world applications built on attention mechanisms and transformer architectures, and understand how to use pre-trained models to perform tasks such as classification, question answering, and summarization.
Throughout the course, learners will gain practical experience performing word embedding, training NLP models using machine learning approaches, and designing retrieval-augmented generation (RAG) pipelines—all without the need for traditional coding. By leveraging no-code platforms and tools, this course is ideal for professionals seeking to adopt AI solutions efficiently and intuitively
What You'll Learn
- Learners will be able to identify the common NLP applications and use cases based on attention mechanisms and transformer architecture
- Learners will be able to perform word embedding and build language models
- Learners will be able to train NLP model with various machine learning approaches.
- Learners will be able to determine NLP strategies based on Hugging Face framework
Course Outline:
Topic 1 Fundamental of NLP
Applications and use cases of NLP
What are large language NLP models
Deep learning transformer architecture overview
Matrix calculus of self-attention mechanism
Multi-head attention and feed forward network
Comparison of large language models - BERT, GPT-3 and other models
Topic 2 Word Embedding and Language Models
Word embedding algorithms
Similarity measures
Language models
Topic 3 Training NLP Models
BERT and text classification
Training NLP models
Topic 4 NLP Strategies
Main NLP tasks with Hugging Face
Encoder-decoder and sequence-to-sequence models
Build your first NLP demo
Entry Requirements
Knowledge and Skills
• Able to operate using computer functions
• Able to operate using computer functions
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
• Positive Learning Attitude
• Enthusiastic Learner
Experience
• Minimum of 1 year of working experience