
DeepLearningAI
Welcome to the official DeepLearning.AI YouTube channel! Here you can find the videos from our Coursera programs on machine learning as well as recorded events. DeepLearning.AI was founded in 2017 by machine learning and education pioneer Andrew Ng to fill a need for world-class AI education. DeepLearning.AI has created high-quality AI programs on Coursera that have gained an extensive global following. By providing a platform for education and fostering a tight-knit community, DeepLearning.AI has become the pathway for anyone looking to build an AI career.
Episodes


Prompt Compression and Query Optimization, a new course with MongoDB is coming soon

Learn how to build an agent from scratch with LangGraph
This monologue podcast provides a tutorial on building a basic AI agent using Python and the OpenAI API. The speaker guides listeners through the process of creating an agent based on the REACT pattern (Reasoning, Acting, and Observation), explaining the roles of the Large Language Model (LLM) and the surrounding code...

New course with Nexusflow: Function-Calling and Data Extraction with LLMs

Learn to build multi-agent systems with diverse roles and capabilities with AutoGen

New Course: AI Agents in LangGraph

New course on agents! Enroll in AI Agentic Design Patterns with AutoGen
This podcast introduces "AI Agentic Design Patterns with AutoGen," a course teaching users to build applications using a multi-agent conversational framework. The speakers explain how AutoGen simplifies the creation of agents with different roles that collaborate on tasks, illustrated by examples like writing financia...

Learn to deploy AI models on edge devices like smartphones

New course with Qualcomm: Introduction to On-Device AI

Learn How to Build Multimodal Search and RAG
This monologue podcast is an educational lesson on multimodal learning and contrastive representation learning in AI. The speaker first introduces the concept of multimodal data (text, images, audio, video) and its importance in building more human-like AI. The core of the lesson explains contrastive representation l...

Learn Multi AI Agent Systems with crewAI: Lesson 1

New course with Weaviate: Building Multimodal Search and RAG

New course with Hugging Face: Quantization in Depth 🤗

New course with Comet: Prompt Engineering for Vision Models

New course with Unstructured: Preprocessing Unstructured Data for LLM Applications

New course with Giskard: Red Teaming LLM Applications

How To Read AI Research Papers Effectively
This podcast discusses how to effectively read AI research papers, targeting developers and ML teams. The hosts first explain why reading research papers is crucial in the rapidly evolving AI landscape, then provide resources for finding relevant papers and categorize them into surveys, benchmarks/datasets, and breakt...

New course with Neo4J: Knowledge Graphs for RAG

Building Production-Grade LLM Apps

New course with Hugging Face: Open Source Models with Hugging Face
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