James Briggs Courses

OpenAI's Agents SDK - Full Course

Master OpenAI's Agents SDK v0.1 through hands-on tutorials covering voice assistants, multi-agent systems, handoffs, chat history, observability, and tools implementation.

• YouTube
• 3 hours 5 minutes
• Self-Paced
• Free Video

LangChain 2025 - Complete Course for AI Engineers

Discover comprehensive LangChain v0.3 techniques for AI engineers, covering agents, memory, streaming, and real-world project implementation in 2025.

• YouTube
• 9 hours 32 minutes
• Self-Paced
• Free Video

AI in Practice - Building Real-World AI Systems with Modern Frameworks

Explore practical frameworks and methods for building real-world AI systems, from chatbot guardrails to RAG optimization and agent development.

• YouTube
• 6 hours 22 minutes
• Self-Paced
• Free Video

Advanced AI - Semantic Router Course

Master production-ready AI development using semantic router library with OpenAI, Cohere, Llama.cpp, and HuggingFace for steerable chatbots and agentic AI systems.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Computer Vision and Search Course

Discover computer vision techniques for search applications, from color histograms to CLIP models, with hands-on PyTorch implementations and zero-shot classification methods.

• YouTube
• 4 hours 34 minutes
• Self-Paced
• Free Video

Hugging Face Datasets Course

Discover how to host, build, and manage datasets on Hugging Face platform, including working with images and custom dataset builder scripts for machine learning projects.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Vector Similarity Search and Faiss Course

Master vector similarity search techniques and Faiss implementation through hands-on practice with traditional methods, advanced indexing, and performance optimization strategies.

• YouTube
• 6 hours 16 minutes
• Self-Paced
• Free Video

NLP for Semantic Search Course

Master NLP techniques for semantic search and vector databases through dense vectors, sentence transformers, fine-tuning methods, and question-answering systems.

• YouTube
• 9 hours 2 minutes
• Self-Paced
• Free Video

Question Answering in NLP - Extractive and Abstractive QA with Vector Search

Dive into question-answering techniques in NLP, covering extractive and abstractive QA, long-form QA with Haystack, and building Q&A AI systems and reader models in Python.

• YouTube
• 2 hours 29 minutes
• Self-Paced
• Free Video

Streamlit for Machine Learning - Full Course

Master Streamlit to build interactive ML applications with caching, Bootstrap components, custom React elements, and deployment strategies.

• YouTube
• 1 hour 48 minutes
• Self-Paced
• Free Video

Building a ChatGPT Plugin for Lex Fridman Podcasts

Learn to build a ChatGPT plugin for searching Lex Fridman podcasts, from setup to implementation. Discover how to create, index, and host a custom AI-powered search tool for podcast content.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Pinecone's New Hybrid Search - The Future of Search?

Explore Pinecone's hybrid search, combining vector and traditional methods for improved relevance and adaptability in semantic search and information retrieval.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

OpenAI's CLIP for Zero Shot Image Classification

Explore OpenAI's CLIP model for flexible computer vision classification without retraining, enabling generalization to new classes and images beyond initial training data.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

OpenAI CLIP Explained - Multi-modal ML

Explore OpenAI's CLIP model, bridging text and image understanding. Learn about multi-modal AI, CLIP's functionality, and its applications in encoding, classification, and object detection.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

Bag of Visual Words for Image Classification and Retrieval

Learn to build image embeddings using the Bag of Visual Words technique for image retrieval, object detection, and classification in computer vision applications.

• YouTube
• 56 minutes
• Self-Paced
• Free Video