AI vs Generative Ai vs Agentic AI vs AI Agents: Key Differences Explained In Detail | Simplilearn
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In this video, we will talk about AI vs. Generative AI vs. Agentic AI vs. AI Agents , we’ll dive deep into the differences between AI, Generative AI, Agentic AI, and AI Agents, clearing up any confusion around these terms. You’ll discover how each of these technologies operates and what sets them apart in the world of artificial intelligence.
We’ll start with an introduction to AI—explaining its role in decision-making and problem-solving. Then, we’ll cover Generative AI, exploring how it creates new content like text, images, and music. After that, we’ll move on to AI Agents, discussing how they perform specific tasks and use tools to complete them efficiently. We’ll also explain Agentic AI, which goes beyond simple tasks to plan, coordinate, and handle complex, multi-step processes.
To help you understand these concepts better, we’ll provide a comparison between Generative AI, AI Agents, and Agentic AI, along with real-world examples to show you how each one works in action. We’ll also discuss how AI impacts our everyday lives, from the tools we use to the way we solve problems.
By the end of this video, you’ll have a clear understanding of what each type of AI does, how they differ, and how they fit into the broader landscape of artificial intelligence.
Let’s get started!
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➡️ About Applied Generative AI Specialization
The Applied Gen AI Course equips learners with the skills to build AI-driven solutions. Learn to design, train, and deploy models while addressing ethics, bias, and compliance. Gain industry-relevant experience through hands-on projects to drive innovation and stay competitive in an AI-powered world.
Key Features
✅ Get a program completion certificate from Michigan Engineering Professional Education
✅ Engage in 70+ hours of live online sessions led by industry experts
✅ Access a comprehensive curriculum covering Python, AI literacy, and GenAI principles (VAEs, GANs, and LLMs)
✅ Explore agentic frameworks and create adaptive AI agents using LangChain
✅ Implement advanced prompt engineering, RAG, and fine-tune models for domain-specific AI solutions
✅ Apply best practices for AI transparency, fairness, security, and regulatory compliance
✅ Work with 12+ modern AI tools, including OpenAI, Stable Diffusion, Microsoft Copilot, and Streamlit
✅ Earn a course completion certificate hosted on the Microsoft Learn portal for Microsoft courses
✅ Experience flexible learning with session recordings
✅ Simplilearn’s JobAssist helps you get noticed by top hiring companies
✅ Gain 24/7 access to Simplilearn’s Learning Management System (LMS)
Skills Covered
✅ Prompt Engineering
✅ Agentic Frameworks
✅ AI Agents
✅ LangChain for Workflow Design
✅ Retrieval Augmented Generation RAG
✅ LLM Fine Tuning
✅ Stable Diffusion
✅ Variational Autoencoders VAEs
✅ Generative Adversarial Networks GANs
✅ Attention Mechanisms
✅ Transformers
✅ GenAI Application Development
✅ LLM Benchmarking
✅ GenAI Governance
✅ AI Image Generation
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