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?AI Accelerator Program - From Prompts to Agentic Workflows - https://www.simplilearn.com/ai-accelerator-program?utm_campaign=X9VvFD_NGYY&utm_medium=DescriptionFF&utm_source=Youtube
?Microsoft Applied Generative AI and Agentic AI Specialization - https://www.simplilearn.com/microsoft-applied-ai-course?utm_campaign=X9VvFD_NGYY&utm_medium=DescriptionFF&utm_source=Youtube
?Virginia Tech Applied Agentic AI: Systems Design & Impact - https://www.simplilearn.com/vt-applied-agentic-ai-course?utm_campaign=X9VvFD_NGYY&utm_medium=DescriptionFF&utm_source=Youtube
?Michigan Engineering Generative AI Applications for Leaders - https://www.simplilearn.com/generative-ai-for-business-transformation?utm_campaign=X9VvFD_NGYY&utm_medium=DescriptionFF&utm_source=Youtube
In this video, we’ll explore **LLMOps (Large Language Model Operations)** and understand how LLM-powered applications are developed, deployed, monitored, and managed in production.
You’ll learn what LLMOps is, why it is important, how LLM applications work, the complete LLMOps lifecycle, data management, prompt engineering, RAG, deployment strategies, and monitoring and evaluation metrics.
This LLMOps tutorial is ideal for beginners, AI engineers, developers, and anyone interested in building reliable and scalable Generative AI applications.
Like the video, subscribe to our channel, and make sure to comment.
00:00 - Introduction
00:35 - What is LLMOps?
02:05 - Why Do We Need LLMOps?
03:35 - How LLM Applications Work
05:15 - Components of an LLM Application
07:00 - The Complete LLMOps Lifecycle
09:20 - Data Management in LLMOps
11:10 - Prompt Engineering and Prompt Management
13:10 - Retrieval Augmented Generation (RAG)
15:35 - LLM Deployment Strategies
17:35 - Monitoring and Evaluation Metrics
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➡️ About Applied Agentic AI: Systems, Design & Impact
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This Agentic AI program offers an end-to-end learning path across AI foundations, generative AI, LLM internals, and multi-agent systems. Learners build practical expertise in agent design, planning frameworks, and go-to-market strategy to drive AI product innovation.
Key Features
✅ Master agentic AI systems, planning frameworks, multi-agent ecosystems, and product strategy in a 10-week, practitioner-level program
✅ Stay ahead of emerging AI trends through Simplilearn's AI Impact Studio and build the skills to identify AI opportunities, automate workflows, and build intelligent AI solutions
✅ Develop expertise in agentic frameworks, multi-agent systems, RAG, MCP, planning systems, workflow automation, and more
✅ Work tools and frameworks like LangChain, AutoGen, CrewAI, n8n, Lovable, Miro, Figma, LangSmith, Jupyter
✅ Brush up on Python essentials and AI-ready workflows before diving into the core Agentic AI courses
✅ Join live, online interactive classes with peer-to-peer engagement on Slack, mentoring sessions, and dedicated cohort support
✅ Earn a joint program completion certificate from Microsoft and Simplilearn
✅ Secure Microsoft Learn badges on the Microsoft Learn portal for the Microsoft-branded courses
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
Skills Covered
✅Workflow Automation
✅ Agentic Frameworks
✅ MultiAgent Systems
✅ Intelligent Automation
✅ GTM for Agentic AI
✅ Ethics and Transparency
✅ LLM Function Calling
✅ Planning Systems
✅ Prompt Engineering
✅UX and UI with Agentic AI
✅ Copilots
✅MCP
✅ RAG
? Enroll Now:https://www.simplilearn.com/agentic-ai-course-training?utm_campaign=X9VvFD_NGYY&utm_medium=DescriptionFF&utm_source=Youtube