Embeddings Courses and Certifications

LangChain Mastery: Build GenAI Apps with LangChain &Pinecone

3042 ratings at Udemy

Step-by-Step Approach to LangChain and Pinecone for GenAI with LLMs. Develop Real-World LLM-Powered Apps with Python

• Udemy
• 10 hours 44 minutes
• On-Demand
• Paid Course

TensorFlow on Google Cloud

2773 ratings at Coursera

Learn to design, build, and scale ML models using TensorFlow and Keras. Covers data pipelines, neural networks, and training on Vertex AI for efficient, large-scale machine learning projects.

• Coursera
• 13 hours 8 minutes
• On-Demand
• Free Online Course (Audit)

LangChain Chat with Your Data

498 ratings at Coursera

Learn to build a chatbot using LangChain, focusing on RAG, document handling, vector stores, and advanced retrieval techniques for interacting with your own data sources.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

Working with Hugging Face

Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

PowerPoint 2016 Advanced Training Course | MS Office 365

157 ratings at Udemy

Become a PowerPoint 2016 expert | Part of Microsoft Office 365

• Udemy
• 1 hour 40 minutes
• On-Demand
• Paid Course

Vector Databases for Embeddings with Pinecone

Discover how the Pinecone vector database is revolutionizing AI application development!

• DataCamp
• 3 hours
• On-Demand
• Free Trial Available

Scrimba

Learn Embeddings and Vector Databases

15 ratings at Coursera

Master AI embeddings and vector databases for advanced applications, from setup to semantic searches and chatbot development. Gain practical skills in creating, managing, and querying embeddings for real-world AI solutions.

• Coursera
• 2 hours 6 minutes
• On-Demand
• Free Online Course (Audit)

Vector Databases: An Introduction with Chroma DB

16 ratings at Coursera

Explore vector databases, their role in AI-powered searches, and gain hands-on experience with Chroma DB for similarity searches and recommendation systems.

• Coursera
• 4 hours 17 minutes
• On-Demand
• Free Online Course (Audit)

Scrimba Microcredential

AI Engineering

Comprehensive training in AI engineering, covering OpenAI API, open-source models, embeddings, vector databases, AI agents, and LangChain for building next-gen AI-powered applications.

• Coursera
• On-Demand
• Paid Course
• 8 courses

Project: Generative AI Applications with RAG and LangChain

Develop a generative AI application using RAG and LangChain, including document loading, text splitting, embedding, retrieval, and QA bot creation with a Gradio interface.

• Coursera
• 9 hours 1 minute
• On-Demand
• Free Online Course (Audit)

Vector Databases: from Embeddings to Applications

Explore vector databases, embeddings, and their applications in NLP, image recognition, and semantic search. Learn to build RAG applications and conduct fast searches in vast datasets.

• Coursera
• 1 hour 3 minutes
• On-Demand
• Paid Course

Scrimba Microcredential

AI Engineering

Learn to build cutting-edge AI-powered applications using OpenAI API, open-source models, embeddings, vector databases, and AI agents. Gain practical skills in LangChain, Dall-E, and GPT Vision.

• Coursera
• On-Demand
• Paid Course
• 7 courses

Vector Database Projects: AI Recommendation Systems

Develop AI-powered recommendation systems using vector databases, Chroma DB, and Hugging Face models. Create food ordering and job search projects to showcase your skills in this high-growth field.

• Coursera
• 5 hours 8 minutes
• On-Demand
• Free Online Course (Audit)

Large Language Models with Semantic Search

Enhance search capabilities using LLMs, exploring dense retrieval and reranking techniques to improve relevance and effectiveness beyond traditional keyword-based methods.

• Coursera
• 1 hour 3 minutes
• On-Demand
• Paid Course

Introduction to Vertex AI Embeddings: Text and Multimodal

Explore Vertex AI Embeddings API for text, image, and video use cases in Google Cloud console, gaining hands-on experience with advanced AI technologies.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course