Generative AI Full Course 2026 | Gen AI Tutorial for Beginners | Gen AI Explained | Simplilearn

🔥️🔥 Michigan - Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=ayeIRYMwZoY&utm_medium=Lives&utm_source=Youtube 🔥Professional Certificate Program in Generative AI and Machine Learning - IITG (India Only) - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=ayeIRYMwZoY&utm_medium=Lives&utm_source=Youtube 🔥Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=ayeIRYMwZoY&utm_medium=Lives&utm_source=Youtube This Generative AI Full Course 2026 by Simplilearn provides a structured learning path, starting with the fundamentals of Generative AI and a detailed roadmap to mastering it. Learners explore top AI technologies, including DeepSeek R1, Deep Learning, and Search GPT, followed by essential tools like LangChain. The course dives into Generative Adversarial Networks (GANs), Transformers, and Long Short-Term Memory (LSTM) networks, forming the foundation of modern AI models. It then introduces Large Language Models (LLMs), Machine Learning concepts, and Reinforcement Learning, leading into practical applications like ChatGPT analysis and OpenAI Sora. Advanced topics include LLM benchmarking, Hugging Face tutorials, and OpenAI's ChatGPT O1 model. Practical insights into Generative AI tools for job interviews, Agentic AI, and AI monetization strategies help learners stay ahead in the field. The course concludes with a look at Google Quantum AI and Machine Learning interview preparation, ensuring a strong grasp of both theoretical and applied AI concepts. 00:00:00 - Introductin To Generative Ai Full Course 2026 01:23:12 - Gen Ai For Everyone 01:29:02 - Gen Ai Roadmap 01:40:40 - Free Gen Ai Certifications 02:05:54 - MCP Explained 03:12:28 - Gen Ai Model For Beginners 03:13:55 - Roadmap Gen Ai 04:18:58 - What Is Machine Learning? 04:20:22 - Introduction To LLM 04:43:04 - What Are Gen Ai Agents 04:50:03 - Deep Learning 05:27:0