🔥Artificial Intelligence [2026 Updated] | Artificial Intelligence Course | Artificial Intelligence And Machine Learning Tutorials | Simplilearn - Generative AI For Beginners 2026 | Generative AI Course For Beginners | GenAI Tutorial | Simplilearn

️🔥 Michigan - Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=ReplaceWithVideoID&utm_medium=DescriptionFirstFold&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=ReplaceWithVideoID&utm_medium=DescriptionFirstFold&utm_source=Youtube 🔥Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=ReplaceWithVideoID&utm_medium=DescriptionFirstFold&utm_source=Youtube This Generative AI Tutorial for Beginners by Simplilearn provides a comprehensive introduction to the world of AI that can create content, including text, images, audio, and more. You’ll learn the fundamentals of generative models, how large language models (LLMs) work, and the key concepts behind AI-powered content creation. The tutorial covers practical applications of Gen AI across industries, from marketing and design to software development and automation. You’ll also explore tools and platforms that make it easy to start building AI-driven solutions without advanced coding skills. Additionally, the session explains ethical considerations, best practices, and emerging trends in generative AI. By the end, beginners will have a clear roadmap to experiment with AI tools, create projects, and understand the potential career opportunities in this rapidly evolving field. Following are the topics covered in this Gen Ai tutorial For beginners 2026 tutorial: Module 01: Introduction to Generative AI Module 02: Prompting & Hands-on Practice Module 03: AI for Research, Learning, and Content Creation Module 04: Applying Gen AI: Analytics, Storytelling, & Innovation ✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH ⏩ Check out More AI Videos By Simplilearn: https://youtube.com/playlist?list=PLEiEAq2VkUULyr_ftxpHB6DumOq1Zz2hq #genai #generativeai #artificialintelligence #llm #llms ai #deeplearning #ollama #openai #gemini #copilot #claude #aiagents #agenticai #machinelearning #llm #simplilearn #2026 ➡️ About Applied Generative AI Specialization This Applied Generative AI course equips you to develop AI-powered applications using industry-relevant tools and frameworks. Build expertise in prompt engineering, GANs, VAEs, and LLM architectures while exploring advanced topics, including agentic AI, LLM fine-tuning, RAG, and AI governance for practical, real-world deployments. Key Features ✅ Simplilearn's JobAssist helps you get noticed by top hiring companies ✅ ✅ 70+ hours of live, instructor-led training with industry experts ✅ Hands-on learning with 7+ real-world projects and a capstone project ✅ Master in-demand skills like LLM fine-tuning, prompt engineering, and AI governance ✅ Gain expertise with cutting-edge tools such as ChatGPT, Azure AI Studio, and LangChain ✅ Comprehensive curriculum covering AI Literacy, Agentic Frameworks, and Generative AI ✅ ✅ Simplilearn's JobAssist helps you get noticed by top hiring companies ✅ Course completion certificate hosted on the Microsoft Learn portal for Microsoft courses ✅ Learn with a diverse cohort of professionals from industries like IT, banking, and education Learning Path ✅ Python Basics (Optional) ✅ AI Literacy ✅ Advanced Generative AI - Models and Architecture ✅ Advanced Generative AI - Building LLM Applications ✅ Agentic AI Frameworks with Model Context and Tooling Protocols ✅ Advanced Generative AI - Image Generation Capabilities ✅ Generative AI Governance ✅ AGS Capstone Project Electives: ✅ Microsoft Azure AI Fundamentals - Generative AI ✅ Microsoft Copilot Foundations ✅ Academic Masterclass Skills Covered ✅ Python Programming ✅ Prompt Engineering ✅ AI Literacy ✅ Generative AI Fundamentals ✅ Large Language Model LLM Architecture ✅ Agentic AI and Autonomous AI Agents ✅ LangChain for Workflow Design ✅ Retrieval Augmented Generation RAG ✅ LLM Fine Tuning and Customization ✅ Stable Diffusion ✅ Explainable AI ✅ Variational Autoencoders VAEs ✅ Transformers and Attention Mechanism ✅ GenAI Application Development ✅ LLM Benchmarking and Evaluation ✅ Generative AI Governance and Ethics 👉 Enroll Now: https://www.simplilearn.com/applied-ai-course?utm_campaign=MKMlt4tckmA&utm_medium=Description&utm_source=Youtube 🔥🔥