AI Engineer Courses

Building and Scaling an AI Agent Swarm of Low Latency Real Time Voice Bots

Master building scalable AI agent swarms with sub-second voice interactions, covering speech-to-text, LLM integration, and handling millions of concurrent conversations.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

The Era of Unbounded Products - Designing for Multimodal IO

Explore how AI models and AR technology converge to create intuitive multimodal experiences, from past developments to future unbounded product design possibilities.

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

LLM Scientific Reasoning - How to Make AI Capable of Nobel Prize Discoveries

Explore how LLMs can achieve Nobel Prize-level scientific breakthroughs by connecting distant fields, using RAG systems and AI agents to spot novel relationships in complex research.

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

From Model Weights to API Endpoint with TensorRT LLM

Master TensorRT-LLM for high-performance model serving, from selecting models to building engines, setting batch sizes, and deploying on cloud GPUs in this hands-on workshop.

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

Build Enterprise Generative AI Apps Using Llama 3 at 1,000 Tokens/s on the SambaNova AI Platform

Master building enterprise LLM apps with RAG using Llama-3 at 1,000 tokens/s on SambaNova's platform, covering full-stack deployment with LangChain and vector databases.

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

Git Push Get an AI API - Building AI-Augmented Apps with Classification and Natural Language Processing

Discover how to augment apps with AI for classification, search, summarization, and outlier detection using Hypermode to reduce infrastructure overhead and iterate quickly.

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

10x Development - LLMs for the Working Programmer

Discover how to leverage LLMs beyond code generation to 10x your development productivity through design patterns, declarative programming, and meta-programming techniques.

• YouTube
• 1 hour 15 minutes
• Self-Paced
• Free Video

Building with Anthropic Claude - Prompt Workshop

Master prompt engineering with Claude through hands-on workshops, live editing, and practical troubleshooting techniques for better AI interactions.

• YouTube
• 1 hour 35 minutes
• Self-Paced
• Free Video

Running AI Applications in Minutes with AI Templates

Discover how to rapidly prototype and deploy generative AI applications using AI templates and GitHub, leveraging Azure OpenAI services for quick startup solutions.

• YouTube
• 1 hour 29 minutes
• Self-Paced
• Free Video

Low Level Technicals of LLMs - Analysis, Finetuning, and Deep Technical Implementation

Dive into LLM debugging, finetuning with Unsloth, and advanced technical deep-dives including hand-derived derivatives and SOTA tricks for optimizing large language model performance.

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

Lessons From A Year Building With LLMs

Discover practical insights from 6 experts who share strategic, operational, and tactical lessons learned from building real-world LLM applications over the past year.

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

The Making of Devin by Cognition AI

Discover how Cognition AI built Devin, a state-of-the-art AI software agent that helps developers save time and achieve more, with insights from CEO Scott Wu.

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

From Text to Vision to Voice - Exploring Multimodality with OpenAI

Explore OpenAI's multimodal future with live demos of GPT-4o Omnimodel Voice, ChatGPT Desktop, Sora, and Voice Engine in this comprehensive overview of cutting-edge AI capabilities.

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

AI Engineer World's Fair 2024 - Keynotes and Multimodality Track

Explore cutting-edge AI engineering through keynotes on multimodal AI, LLM applications, agent development, and real-world implementations from industry leaders.

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

Open Questions for AI Engineering

Explore key AI engineering challenges including local models, transparency, tool usage, and prompt injection with insights from Datasette creator Simon Willison.

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