2025 Fine Tuning LLM with Hugging Face Transformers for NLP

From zero to professional level: learn the keys to AI and build the most potential Generative AI applications.

Created by: Julio Colomer
CEO of AI Accelera and Aceleradora AI

What Will I Learn?

• Keys to Artificial Intelligence and the new Generative AI.
• LLM Apps with LangChain, CrewAI, LangGraph, LangServe and LangSmith.
• How to create an LLM Application from scratch to professional level.
• How to build the new Multimodal and Multi-Agent LLM Applications.
• Opportunities and threats of AI for businesses, startups, and jobs.
• RAG Applications in Depth: Full Stack RAG Apps and Advanced Techniques.
• How to manage LLMOps: Observability, Evaluation, Testing, Etc.
• Professional opportunities opened by Artificial Intelligence.
• Steps to become an Artificial Intelligence Engineer.
• How to introduce Artificial Intelligence into your business.
• Keys to LLM Applications, the highest potential applications of Generative AI.
• Architecture of professional LLM Applications.
• The RAG Technique (Retrieval Augmented Generation).
• Artificial Intelligence Agents.
• Basic and advanced LangChain, LangChain LCEL, and LangChain v010. LangSmith, LangServe, LangChain Templates.
• LCEL (LangChain Expression Language) in depth.
• Basic and advanced LlamaIndex. LlamaIndex Templates.
• ChatGPT, OpenAI, OpenAI functions, and the OpenAI API.
• Large Language Models (LLM): ChatGPT, Llama2, Mistral, Falcon, etc.
• Vector databases: Postgres, Pinecone, Chroma, FAISS, DeepLake, etc.
• Full-Stack Applications: Nextjs and FastAPI.
• Professional deployment: Vercel and Render.
• Provisional deployment: Streamlit.
• Cloud hosting: AWS S3.
• How to apply the principles of Responsible AI.
• Daily tools of the AI Engineer: Jupyter Notebooks, Python, Terminal, Github, Codespaces, etc.

Requirements

• No previous technical knowledge is required.
• Students with some prior knowledge will improve their professional preparation.

Target audience

• Students and professionals with and without previous experience.
• Students without prior knowledge interested in taking advantage of the professional opportunities opened by the field of Artificial Intelligence.
• Executives interested in introducing Artificial Intelligence into their company.
• Machine Learning, Deep Learning, and Data Science professionals interested in expanding their professional opportunities in the area of Generative AI and LLM Applications.
• Software application developers interested in expanding their professional opportunities by learning to develop Generative Artificial Intelligence and LLM Applications.