Hugging Face Courses and Certifications

Learn AI Agents: Design, Build & Deploy

Explore the design, building, and deployment of AI agents using Python, LangChain, OpenAI APIs, and Docker to automate workflows and create real operational value.

• Coursera
• 1 day 4 hours 36 minutes
• Self-Paced
• Paid Course

Board Infinity

DeepSeek Essentials: From Foundations to Real-World Use

Master DeepSeek's open-source AI models through hands-on exploration of technical foundations, integration methods, and real-world applications across development, data science, and business operations.

• Coursera
• 4 hours 51 minutes
• Self-Paced
• Paid Course

Edureka

Fine-Tuning & Optimizing Large Language Models

Master parameter-efficient fine-tuning, context engineering, and deployment strategies for large language models using modern tools like Hugging Face and LoRA adapters.

• Coursera
• 13 hours 45 minutes
• Self-Paced
• Paid Course

Coursera

Preparing Text for AI Models

Master text preprocessing, tokenization, and dataset structuring for training large language models with practical skills in sourcing, cleaning, and formatting data.

• Coursera
• 7 hours 6 minutes
• Self-Paced
• Paid Course

Programming Generative AI: Unit 2

Explore advanced generative AI techniques for images and text using CNNs, autoencoders, diffusion models, and transformers with hands-on PyTorch and Hugging Face implementation.

• Coursera
• 8 hours 26 minutes
• Self-Paced
• Paid Course

Introduction to Transformer Models for NLP: Unit 3

Explore advanced transformer models including T5 and Vision Transformers, fine-tune for NLP tasks, build image captioning systems, and deploy models using MLOps and FastAPI.

• Coursera
• 4 hours 52 minutes
• Self-Paced
• Paid Course

Board Infinity

Transformers in Action: A Practical Approach to NLP and AI

Master Transformer architectures for NLP through hands-on coding with BERT, GPT, and T5. Build real-world applications using Hugging Face tools for classification, summarization, and deployment.

• Coursera
• 18 hours 37 minutes
• Self-Paced
• Paid Course

Coursera Credential

Chroma, Weaviate & Production RAG Deployment

Master vector databases and RAG deployment with Chroma and Weaviate, building production-ready search systems with advanced patterns, security, and optimization techniques.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Coursera

Deploying Open Models

Master containerization, cloud deployment, and monitoring strategies for generative AI models in production environments with hands-on Docker, AWS/GCP/Azure experience.

• Coursera
• 5 hours 23 minutes
• Self-Paced
• Paid Course

Packt

Building LLM Powered Applications

Explore how to build LLM-powered applications using LangChain, prompt engineering, and multimodal AI, covering structured data, fine-tuning, and responsible AI practices.

• Coursera
• 19 hours 57 minutes
• Self-Paced
• Paid Course

RAG: Vector Databases with ChromaDB

Learn vector databases, similarity search, and ChromaDB operations to build recommendation systems, and improve AI retrieval performance in GenAI applications using embeddings.

• edX
• 18 hours
• Self-Paced
• Free Online Course (Audit)

Introduction to Vector Databases for RAG

Explore vector databases and ChromaDB for Retrieval-Augmented Generation (RAG), learning similarity search techniques and building recommendation systems through hands-on labs with Hugging Face embedding models.

• Coursera
• 1 hour 5 minutes
• Self-Paced
• Free Online Course (Audit)

Coursera

Chroma Database Mastery

Master Chroma vector database skills, from setup to production-ready RAG systems. Build semantic search apps, ETL pipelines, and a knowledge base using ChromaDB, LangChain, and embedding models.

• Coursera
• 14 hours
• Self-Paced
• Paid Course

Coursera

Integrate Embeddings and Chroma

Master automated vectorization pipelines by integrating embedding models with ChromaDB, troubleshooting common failures, and building production-ready ML systems.

• Coursera
• 2 hours 46 minutes
• Self-Paced
• Paid Course

Pragmatic AI Labs Credential

Machine Learning Operations

Master MLOps essentials with Python, Rust, and GitHub Copilot while learning to deploy models using SageMaker, Azure ML, MLflow, and Hugging Face. Explore career paths in Data Science, ML Engineering, and AI Product Management.

• edX
• 17 weeks, 3-6 hours/week
• Self-Paced
• $1,796.00
• 4 courses