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In this video on What Is Agentic AI by Simplilearn, you will learn how intelligent AI systems can independently plan tasks, make decisions, use tools, and take actions to achieve specific goals. Unlike traditional AI models that only respond to prompts, Agentic AI can break complex problems into smaller steps, adapt based on results, and complete multi-step workflows with minimal human intervention. You will also understand how AI agents use technologies such as large language models, memory, reasoning, APIs, and automation tools to perform tasks. From customer support and data analysis to software development and business process automation, Agentic AI is becoming an important part of modern technology. Watch this Shorts video to understand Agentic AI in simple terms and discover how it may change the way people and organizations work with artificial intelligence.
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➡️ About Applied Generative AI Specialization
Gain practical skills in applying generative AI, cover essential concepts such as GANs, VAEs, and prompt engineering alongside advanced topics like LLM app development, RAG, Agentic AI, MCP, and fine-tuning. This program builds a well-rounded understanding, preparing you to deploy generative AI capabilities in real-world applications.
Key Features:
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Program completion certificate from Microsoft and Simplilearn.
✅ Master GenAI and Agentic AI app development with 60+ exercises and 7+ industry-focused projects.
✅ Explore advancements in GenAI via live online masterclasses delivered by Microsoft experts.
✅ Gain hands-on experience with tools like LangChain, Copilot, Azure AI Studio, RAG, ChatGPT, OpenAI, Dall-E 2, Hugging Face, and more
✅ Microsoft Learn Badge: Unlock verified achievements on Microsoft Learn Portal
✅ Gain in-demand skills like LLM fine-tuning, prompt engineering, and AI governance
✅ 100+ hours of blended learning
✅ RAG & LLM Application Building: Master LangChain, indexing, evaluation, & agents
✅ Explore LLMs, agentic frameworks, MCP, multimodal Al & more
Skills Covered
✅ LangChain
✅ Prompt Engineering
✅ AI Literacy
✅ Generative AI Fundamentals
✅ Large Language Model LLM Architecture
✅ Agentic AI and Autonomous AI Agents
✅ Retrieval Augmented Generation RAG
✅ LLM Fine Tuning and Customization
✅ Stable Diffusion
✅ Explainable AI
✅ Variational Autoencoders VAEs
✅ Transformers and Attention Mechanism
✅ GenAI Application Development
✅ Model Context Protocol MCP
✅ LLM Benchmarking and Evaluation
✅ Generative AI Governance and Ethics
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