AssemblyAI Courses

PyTorch Crash Course - Getting Started with Deep Learning

Comprehensive introduction to PyTorch, covering tensor basics, autograd, linear regression, neural networks, and CNNs. Ideal for beginners in deep learning.

• YouTube
• 50 minutes
• On-Demand
• Free Video

JAX Crash Course - Accelerating Machine Learning Code

Accelerate machine learning with JAX: Learn NumPy-like operations on CPU, GPU, and TPU, automatic differentiation, and high-performance techniques for ML research in this comprehensive introduction.

• YouTube
• 27 minutes
• On-Demand
• Free Video

Python Audio Processing Basics - How to Work With Audio Files in Python

Explore Python audio processing: work with mp3/wave files, analyze sampling rates, plot waveforms, record audio, and use PyAudio/PyDub libraries for comprehensive audio manipulation.

• YouTube
• 25 minutes
• On-Demand
• Free Video

Building a GAN From Scratch With PyTorch - Theory + Implementation

Learn to build a Generative Adversarial Network from scratch using PyTorch and PyTorch Lightning, covering theory, implementation, and testing in this comprehensive tutorial.

• YouTube
• 32 minutes
• On-Demand
• Free Video

Python for AI - Dev Environment Setup

Learn to set up a Python development environment for AI, including installing Python, managing packages, and configuring VS Code and Jupyter notebooks.

• YouTube
• 28 minutes
• On-Demand
• Free Video

Python for AI: Exploring and Cleaning Data with Pandas

Learn to explore, clean, and prepare data for machine learning using Pandas. Covers handling missing values, outliers, categorical data, and feature preparation for model training.

• YouTube
• 39 minutes
• On-Demand
• Free Video

Real-Time Medical Transcription Analysis Using AI - Python Tutorial

Learn to build a real-time medical transcription analyzer using AssemblyAI's API and Claude 3.5 Sonnet, automating the categorization of key medical terms from live audio.

• YouTube
• 15 minutes
• On-Demand
• Free Video

Building a WebApp to Summarize YouTube Reviews with LLMs

Learn to create a webapp that summarizes YouTube product reviews using AssemblyAI's LLM framework. Extract key points, generate pros and cons lists, and save time when researching purchases.

• YouTube
• 12 minutes
• On-Demand
• Free Video

Building Community, Open Source, and Navigating the AI Industry - Insights from Replicate CEO

Dive into Replicate's journey in building an open-source AI community. Gain insights on founding challenges, early use cases, impact of open-source LLMs, successful products, and lessons learned in the rapidly evolving AI landscape.

• YouTube
• 27 minutes
• On-Demand
• Free Video

Transcribe Live Phone Calls with Python and Flask - Real-Time Call Transcription Tutorial

Learn to build a Flask app for real-time phone call transcription using AssemblyAI, Twilio, and ngrok. Enhance accessibility and gain insights for customer support and call center analysis.

• YouTube
• 32 minutes
• On-Demand
• Free Video

Balancing Risk, Innovation, and AI Opportunity in the Legal Field - Assembly Required Series

Explore insights on balancing risk, innovation, and AI opportunities in legal tech with Ironclad's CEO. Gain valuable perspectives on building successful AI-driven products and strategies.

• YouTube
• 29 minutes
• On-Demand
• Free Video

Build an AI Agent with LiveKit for Real-Time Speech-to-Text - Full Python Tutorial

Learn how to create a LiveKit AI agent that processes audio streams and delivers real-time transcriptions using AssemblyAI's Streaming Speech-to-Text API in this Python tutorial.

• YouTube
• 10 minutes
• On-Demand
• Free Video

Building an AI Voice Agent with DeepSeek R1 and Python

Master the creation of real-time AI voice agents by integrating DeepSeek R1, AssemblyAI for speech-to-text, and ElevenLabs for text-to-speech, enabling natural conversational interactions through Python programming.

• YouTube
• 13 minutes
• On-Demand
• Free Video

Building AI Voice Agents with Vapi and AssemblyAI

Discover how to build AI Voice Agents using Vapi and AssemblyAI, from handling real-time conversations to deploying voice automation workflows, with insights on overcoming technical challenges and future applications.

• YouTube
• 24 minutes
• On-Demand
• Free Video

Model Context Protocol (MCP) Explained with Code Examples

Discover how Model Context Protocol (MCP) standardizes AI agent interactions with external resources, from basic LLM limitations to advanced integrations, with practical code examples and implementation strategies.

• YouTube
• 18 minutes
• On-Demand
• Free Video