Matrices Courses and Certifications

Multidimensional Arrays and Their Traversal in Scala

Master multidimensional array manipulation and traversal techniques in Scala through practical exercises involving apartment buildings, bookshelves, and game boards.

• CodeSignal
• 5 hours
• Self-Paced
• Free Certificate

Enhancing the FastAPI Word Play Game with new functionalities

Enhance a FastAPI Word Play Game by integrating semantic scoring with spaCy, a SQLAlchemy leaderboard, and dynamic API routes to connect frontend interactions with game logic.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Career Certificate

Making a LLM Prediction Game with Node.js and Express

Discover how to build a JavaScript-based LLM prediction game using Node.js and Express, where players guess the model's next word and earn points through semantic similarity.

• CodeSignal
• 8 hours
• Self-Paced
• Free Certificate
• 3 courses

Embedding-Based Recommendation with Similarity Scoring

Master embedding-based music recommendations using vector transformations, cosine similarity, and clustering to build personalized suggestion systems.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Document Processing and Retrieval with LangChainGo

Unlock document intelligence with LangChainGo by loading, splitting, embedding documents and performing similarity searches to create context-aware AI responses.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Career Certificate

Linear Algebra Programming with R

Master linear algebra concepts through R programming with practical applications in data science, covering vectors, matrices, operations, eigenvalues, and statistical analysis techniques.

• CodeSignal
• 10 hours
• Self-Paced
• Free Certificate
• 3 courses

Career Certificate

Talk to Your Documents with LangChain and Go

Embark on a hands-on Go journey to build chat apps and RAG systems with LangChain: tune models, manage memory, process documents, retrieve context, and chat with your files accurately.

• CodeSignal
• 7 hours
• Self-Paced
• Free Certificate
• 3 courses

Neural Networks Fundamentals: Neurons and Layers in R

Master the fundamentals of neural networks in R—build neurons, apply activation functions, and implement a dense layer from scratch using base R matrix operations.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Foundations of Ray Tracing in C++

Master ray tracing in C++ by building a renderer from scratch, covering vectors, pixel writing, color gradients, and virtual camera setup.

• CodeSignal
• 4 hours
• Self-Paced
• Free Certificate

Understanding Embeddings and Vector Representations

Explore vector embeddings, learn to generate them with OpenAI and Hugging Face, calculate similarity, and efficiently save and compare embedding models in Python.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Storing, Indexing, and Managing Vector Data with Pinecone

Master Pinecone's vector database by setting up indexes, storing embeddings, querying efficiently, and managing large-scale vector data with metadata filtering and consistency techniques.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Scaling up RAG with Vector Databases

1 rating

Discover how to scale RAG systems with vector databases, from preprocessing documents to managing embeddings in ChromaDB, with strategies for efficient retrieval and prompt construction.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Natural Language Processing with Classification and Vector Spaces

4638 ratings at Coursera

This is the Course 1 of the Natural Language Processing Specialization, offered by deeplearning.ai

• Coursera
• 1 day 9 hours 23 minutes
• Self-Paced
• Paid Course

Build, Train and Deploy ML Models with Keras on Google Cloud

2814 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 18 minutes
• Self-Paced
• Paid Course

Natural Language Processing with Sequence Models

1183 ratings at Coursera

Train neural networks for sentiment analysis, text generation, named entity recognition, and question comparison using advanced NLP techniques like GLoVe embeddings, GRUs, LSTMs, and Siamese models.

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