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This long-form video presents the foundations of AI engineering in a single session, moving from Python and machine learning through deep learning and natural language processing into generative AI. Large language models, prompt engineering, retrieval-augmented generation and AI agents form the later part of that path.
Students, working developers and career changers who want a map of the whole field will find it a useful orientation. Because so much ground is covered, it works better as an overview to dip into than as a complete training course.
Much of the description is promotional material for accompanying programs, so the video itself is the part to judge on its own merits. Readers looking for hands-on examples should skim the video's structure before settling in.
🔥Microsoft Applied Agentic AI: Systems Design & Impact - https://www.simplilearn.com/agentic-ai-course-training?utm_campaign=xl4dvczQWOA&utm_medium=DescriptionFF&utm_source=Youtube
🔥AI Accelerator Program - From Prompts to Agentic Workflows - https://www.simplilearn.com/ai-accelerator-program?utm_campaign=xl4dvczQWOA&utm_medium=DescriptionFF&utm_source=Youtube
🔥Microsoft Applied Generative AI and Agentic AI Specialization - https://www.simplilearn.com/microsoft-applied-ai-course?utm_campaign=xl4dvczQWOA&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=xl4dvczQWOA&utm_medium=DescriptionFF&utm_source=Youtube
🔥Michigan Engineering Generative AI Applications for Leaders - https://www.simplilearn.com/generative-ai-for-business-transformation?utm_campaign=xl4dvczQWOA&utm_medium=DescriptionFF&utm_source=Youtube
Learn the foundations of AI engineering with this AI Engineer Full Course from Simplilearn. Explore Python, machine learning, deep learning, natural language processing, and Generative AI, along with large language models, prompt engineering, Retrieval-Augmented Generation (RAG), and AI agents. Understand how these concepts come together to build and deploy AI-powered applications through practical examples. Whether you’re a beginner, student, software developer, or working professional, this course can help you strengthen your understanding and start building your own AI projects. Subscribe to Simplilearn for more tutorials, full courses, and hands-on learning.
✅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
➡️ About Applied Agentic AI: Systems, Design & Impact
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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
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