


Prompt Engineering, Hugging Face & AI Tools
Prompt Engineering, Hugging Face & AI Tools – 3 Days Workshop by Code IT
Prompt Engineering, Hugging Face & AI Tools – 3 Days Workshop by Code IT
Want to build real-world AI skills? Code IT offers Nepal’s most hands-on 3-day workshop on Prompt Engineering, Hugging Face, and AI Tools, ideal for students, developers, and professionals from Kathmandu, Dharan, Itahari, Biratnagar, Koshi, Mechi, and beyond.
This expert-led Prompt Engineering course in Nepal is designed to teach you advanced techniques like zero-shot, few-shot, chain-of-thought prompting, and how to structure effective role/system prompts. You’ll also learn to avoid common mistakes in AI prompt design, such as ambiguity, bias, and prompt overfitting.
Code IT offers practical training on prompt tuning parameters including temperature, top_k, top_p, and max_new_tokens, so you can better control AI model outputs. You'll gain hands-on experience with Hugging Face’s transformers.pipeline and build your own prompt templates using LangChain.
This AI workshop also covers both manual and automatic prompt evaluation, using metrics like BLEU, ROUGE, and cosine similarity with embeddings. You’ll explore reverse prompting, scoring techniques, and multi-step prompt workflows to sharpen your skills.
Finally, participants will explore the Hugging Face Model Hub and use AI tools for text generation, summarization, image creation, and question answering, all while learning how to build real-world AI-powered applications using datasets and pre-trained models.
If you're looking for the most comprehensive Prompt Engineering training in Nepal or want to explore powerful AI tools with Hugging Face, Code IT offers the perfect 3-day workshop to start your journey in artificial intelligence.
Materials included
Course Syllabus
Day 1: Foundations of Prompt Engineering
- What is Prompt Engineering & its importance
- Zero-shot, Few-shot, Chain-of-Thought, and Role/system prompts
- Common prompt pitfalls (ambiguity, bias, overfitting)
- Using Hugging Face transformers.pipeline
- Prompt tuning: temperature, top_k, top_p, max_new_tokens
Day 2: Prompt Templates & Evaluation
- Creating prompt templates (LangChain)
- Iterative and multi-step prompting techniques
- Manual vs automatic prompt evaluation
- BLEU, ROUGE, cosine similarity with embeddings
- Reverse prompt & scoring activities
Day 3: Hugging Face Model Hub, App Building & AI Tools
- Exploring Hugging Face Model Hub
- Text generation, QA, summarization, image generation tasks
- Exploring different AI tools
- App building with pipeline, datasets