The Full Stack Courses

Introduction to Deep Learning - Full Stack Deep Learning - March 2019

1 rating

Comprehensive introduction to AI and deep learning, covering key concepts, applications, and historical context. Explores data processing, computational requirements, and course structure.

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

Building Production-Ready LLM-Powered Applications

Explore strategies for developing robust, scalable LLM-powered applications in production environments, focusing on best practices and real-world implementation challenges.

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

Full Stack Deep Learning - 2022

Master the complete pipeline of building ML-powered products from neural networks to deployment, covering PyTorch, infrastructure, testing, and ethics.

• YouTube
• 11 hours 33 minutes
• Self-Paced
• Free Video

Full Stack Deep Learning - Spring 2021

Master end-to-end deep learning from fundamentals to production deployment, covering CNNs, RNNs, transformers, MLOps, ethics, and real-world project implementation.

• YouTube
• 20 hours 39 minutes
• Self-Paced
• Free Video

How Replit Trained Their Own LLMs - LLM Bootcamp

Comprehensive guide to training custom LLMs: from data processing and tokenization to evaluation and deployment, with insights on tools, best practices, and essential skills for LLM engineers.

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

Agents Masterclass from LangChain Founder - LLM Bootcamp

Explore tool-using language models with long-term memory in this comprehensive overview of AI agents, covering key concepts, challenges, and real-world examples from LangChain's co-creator.

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

LLMOps - LLM Bootcamp

Explore LLMOps principles for improving language model applications, covering model selection, prompt management, testing strategies, evaluation metrics, deployment, and test-driven development.

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

UX for Language User Interfaces - LLM Bootcamp

Explore UX principles for Language User Interfaces, including design patterns, case studies of Copilot and Bing Chat, and key considerations for creating effective AI-powered interfaces.

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

Augmented Language Models - LLM Bootcamp

Explore techniques for enhancing language models with external context: retrieval augmentation, chaining, and tool use. Learn about embeddings, databases, and practical applications in AI development.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

Launch an LLM App in One Hour

Learn to rapidly prototype and deploy an AI-powered app using LLMs. Explore the process from initial concept to MVP deployment in just one hour.

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

Project Walkthrough - AskFSDL - LLM Bootcamp

Walkthrough of building an LLM-powered Discord bot for answering questions about neural network applications, covering tooling, data cleaning, infrastructure, frontend, embeddings, and monitoring.

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

LLM Foundations - LLM Bootcamp

Explore foundational concepts of large language models, including machine learning basics, Transformer architecture, and notable LLMs. Gain insights into pretraining datasets and instruction tuning.

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

Learn to Spell - Prompt Engineering

Explore intuitions and techniques for effective prompt engineering, including decomposition, reasoning, and reflection, to unlock the full potential of language models.

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

What's Next? - LLM Bootcamp

Explore the future of AI: multimodal robots, scaling limits, AGI possibilities, and safety concerns. Gain insights into key questions shaping the next era of language models and artificial intelligence.

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

LangChain Demo and Q&A with Harrison Chase

Explore LangChain, a framework for building LLM applications, through a demo and Q&A with its creator. Learn about its features, benefits, and potential applications in AI development.

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