Agentic AI vs Generative AI | Agentic AI vs Generative AI: Key Differences Explained | Simplilearn
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In this video, we explore the powerful shift happening in the world of Artificial Intelligence from systems that simply generate content to systems that can actually think through goals and execute tasks. We break down what Generative AI is, how it works, and why it has transformed content creation across industries. Then, we dive into Agentic AI the next evolution where AI doesn’t just respond to prompts but plans, remembers, takes initiative, and completes multi-step workflows.
You’ll clearly understand the key differences in behavior, task scope, autonomy, and memory between Generative and Agentic AI, along with practical real-world use cases to help you decide which one to use and when. Whether you’re a tech enthusiast, student, working professional, or someone curious about the future of AI, this video gives you a simple, structured explanation of one of the most important shifts in modern technology.
If you’re serious about building next-generation AI systems, we also introduce a practitioner-level program designed to help you move beyond theory and start designing real-world agentic AI solutions.
Watch till the end to future-proof your AI knowledge and don’t forget to share your thoughts in the comments!
Following are the topics covered in this tutorial on Agentic AI vs Generative AI:
00:02:24 What is Generative AI?
00:03:24 What is Agentic AI?
00:04:04 Key Differences: Behavior, Tasks, Autonomy & Memory
00:05:58 Use Cases, Future of AI & Final Takeaways
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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
👉 Enroll Now: https://www.simplilearn.com/applied-ai-course?utm_campaign=bCrODgKLjdY&utm_medium=Description&utm_source=Youtube
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