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 hLinks:Courses: https://www.deeplearning.ai/courses/Website: https://www.deeplearning.ai/Community: https://community.deeplearning.ai/LinkedIn: https://www.linkedin.com/company/deeplearningaiTwitter...
AI Dev 26 x SF | Diamond Bishop: The Next 100 Agents. Building the Agent Native Office
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Hyperparameter Tuning in Practice (C2W3L03)
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AI Dev 26 x SF | Andrew Filev: Multi Model Pipelines—How to Get Better AI Results for Less
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Tuning Process (C2W3L01)
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AI Dev 26 x SF | Or Dagan: Optimizing Accuracy, Cost, and Latency in Real-World Agents
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Understanding Exponentially Weighted Averages (C2W2L04)
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AI Dev 26 x SF | Daniel Beutel: Flower SuperGrid Agents
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AI Dev 26 x SF | Manos Koukoumidis and Stefan Webb: VibeML: Build your AI model in hours, not months
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AI Dev 26 x SF | Luke Kim: The Agent Data Stack—Why Every AI Agent Needs Its Own Data Stack
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Mini Batch Gradient Descent (C2W2L01)
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AI Dev 26 x SF | João Moura: Building Recurring, Governed, and Embedded Enterprise Workflows
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The Problem of Local Optima (C2W3L10)
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AI Dev 26 x SF | Andi Partovi: Why Every Agent Needs a Simulation Sandbox
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Exponentially Weighted Averages (C2W2L03)
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AI Dev 26 x SF | Ara Khan: Evals Are Broken Use Them Anyway
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Gradient Checking Implementation Notes (C2W1L14)
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Build Your Own App In Just 30 Minutes! Full Course with Andrew Ng
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Learning Rate Decay (C2W2L09)
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Gradient Checking (C2W1L13)
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Voice for AI Agents and Applications
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Using an Appropriate Scale (C2W3L02)
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Fast inference changes what you can build
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deeplearning.ai's Heroes of Deep Learning: Andrej Karpathy
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1st Place Winner: Coding Agent Calls Developer to Resolve Code Block
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deeplearning.ai's Heroes of Deep Learning: Pieter Abbeel
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2nd Place Winner: Coding Agent Calls Developer to Pitch Launch Strategy
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3rd Place Winner: Voice AI Prevents Data Loss. Coding Agent Calls Developer Before Deleting Records
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deeplearning.ai's Heroes of Deep Learning: Ruslan Salakhutdinov
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Build AI agents that learn from experience
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deeplearning.ai's Heroes of Deep Learning: Yoshua Bengio
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AI Dev | San Francisco 2026 | 2,599 AI Developers
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deeplearning.ai's Heroes of Deep Learning: Yuanqing Lin
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Full Course: Spec-Driven Development with Coding Agents
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Forward and Backward Propagation (C1W4L06)
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Building AI Assistants with On-Device Memory
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Train/Dev/Test Sets (C2W1L01)
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AI Dev 26 x SF | Pratik Verma: Observability Agent to Find and Fix Issues in AI Agents
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Deep L-Layer Neural Network (C1W4L01)
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AI Dev 26 x SF | Nyah Macklin: The AI Said So? How to Build Auditable AI Agents Using Context Graphs
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Random Initialization (C1W3L11)
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