Uploaded August 2026 | Updated September 2026, 2 weeks ago

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🔥Microsoft Applied Agentic AI: Systems Design & Impact - simplilearn.com/agentic-ai-course-training?utm_campaign=EeLPhTnI4xA&utm_medium=DescriptionFF&utm_source=Youtube
🔥AI Accelerator Program - From Prompts to Agentic Workflows - simplilearn.com/ai-accelerator-program?utm_campaign=EeLPhTnI4xA&utm_medium=DescriptionFF&utm_source=Youtube
🔥Microsoft Applied Generative AI and Agentic AI Specialization - simplilearn.com/microsoft-applied-ai-course?utm_campaign=EeLPhTnI4xA&utm_medium=DescriptionFF&utm_source=Youtube
🔥Virginia Tech Applied Agentic AI: Systems Design & Impact - simplilearn.com/vt-applied-agentic-ai-course?utm_campaign=EeLPhTnI4xA&utm_medium=DescriptionFF&utm_source=Youtube
🔥Michigan Engineering Generative AI Applications for Leaders - simplilearn.com/generative-ai-for-business-transformation?utm_campaign=EeLPhTnI4xA&utm_medium=DescriptionFF&utm_source=Youtube

In this video, Prompt Engineering Full Course 2026, you’ll learn how to design, craft, and optimize prompts to get the best possible outputs from AI models like ChatGPT, Claude, Gemini, and other large language models (LLMs). This complete beginner-friendly course covers prompt engineering fundamentals, advanced techniques, and real-world applications for content creation, coding, data analysis, automation, and AI-powered workflows.

You’ll start with an introduction to generative AI and how LLMs work, followed by core prompt engineering concepts such as role, task, context, examples, output format, constraints, and instructions. Then you’ll learn essential prompting techniques including zero-shot prompting, few-shot prompting, chain-of-thought, self-consistency, tree of thoughts, and prompt chaining for building AI agents.

The course also includes hands-on tutorials on multimodal prompting, context engineering, RAG vs fine-tuning vs prompt tuning, and using AI tools like GitHub Copilot, Claude Code, Gemini CLI, and ChatGPT for programming, app building, website creation, and Telegram bot development. We’ll also cover strategies to earn money with prompt engineering skills and prepare for AI and machine learning interviews in 2026.

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➡️ About Applied Agentic AI: Systems, Design & Impact

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

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