Deep Learning Full Course 2026 | Deep Learning Tutorial for Beginners | Deep Learning | Simplilearn

🔥Artificial Intelligence Engineer (IBM) - https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=jkAzdI3e69M&utm_medium=Lives&utm_source=Youtube ️🔥 Professional Certificate in AI and Machine Learning - https://www.simplilearn.com/professional-aiml-program?utm_campaign=jkAzdI3e69M&utm_medium=Lives&utm_source=Youtube 🔥IITK - Professional Certificate Course in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=jkAzdI3e69M&utm_medium=Lives&utm_source=Youtube 🔥IITG - Professional Certificate Program in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=jkAzdI3e69M&utm_medium=Lives&utm_source=Youtube The Deep Learning Full Course 2026 by Simplilearn, begins with an introduction to Artificial Intelligence (AI) and its connection to deep learning. It covers the core mathematical foundations of machine learning, followed by in-depth tutorials on Neural Networks, Recurrent Neural Networks (RNNs), and Convolutional Neural Networks (CNNs). Learners then move on to modern AI frameworks, exploring LangChain, LangGraph, and LangFlow, and understand how to build LLM chatbots and AI clones using Hugging Face. The course also includes hands-on machine learning projects and concludes with Deep Learning interview questions and answers, helping learners build strong technical and conceptual expertise in AI-driven development. Following are the topics covered in the Artificial Intelligence Full Course 2026: 00:00:00 - Introduction to Deep Learning Full Course 2026 00:02:18 - Introduction to AI 00:21:24 - Deep Learning In AI 00:28:25 - What is Deep learning 01:13:18 - Mathematics for machine learning 03:03:42 - Deep Learning Tutorial 03:15:09 - Neural Network Tutorial 04:08:17 - Recurrent Neural Network Tutorial 05:06:58 - What Is LangChain? 05:21:09 - LangGraph Tutorial 05:36:00 - LangGraph v