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?IITM - Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=D0vhtXRlY7A&utm_medium=ShortsDescription&utm_source=Youtube
In this video on High-Paying AI Prompting Skills in 2026 by Simplilearn, discover the essential prompt engineering skills that can help you build a career in AI. Learn how to write effective prompts, improve AI-generated outputs, use popular generative AI tools, and develop practical skills for roles in AI, content, marketing, data, and automation. Watch now to understand how AI prompting can help you land better job opportunities in 2026.
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➡️ About Applied Generative AI Specialization
Gain practical skills in applying generative AI, cover essential concepts such as GANs, VAEs, and prompt engineering alongside advanced topics like LLM app development, RAG, Agentic AI, MCP, and fine-tuning. This program builds a well-rounded understanding, preparing you to deploy generative AI capabilities in real-world applications.
Key Features:
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Program completion certificate from Microsoft and Simplilearn.
✅ Master GenAI and Agentic AI app development with 60+ exercises and 7+ industry-focused projects.
✅ Explore advancements in GenAI via live online masterclasses delivered by Microsoft experts.
✅ Gain hands-on experience with tools like LangChain, Copilot, Azure AI Studio, RAG, ChatGPT, OpenAI, Dall-E 2, Hugging Face, and more
✅ Microsoft Learn Badge: Unlock verified achievements on Microsoft Learn Portal
✅ Gain in-demand skills like LLM fine-tuning, prompt engineering, and AI governance
✅ 100+ hours of blended learning
✅ RAG & LLM Application Building: Master LangChain, indexing, evaluation, & agents
✅ Explore LLMs, agentic frameworks, MCP, multimodal Al & more
Skills Covered
✅ LangChain
✅ Prompt Engineering
✅ AI Literacy
✅ Generative AI Fundamentals
✅ Large Language Model LLM Architecture
✅ Agentic AI and Autonomous AI Agents
✅ Retrieval Augmented Generation RAG
✅ LLM Fine Tuning and Customization
✅ Stable Diffusion
✅ Explainable AI
✅ Variational Autoencoders VAEs
✅ Transformers and Attention Mechanism
✅ GenAI Application Development
✅ Model Context Protocol MCP
✅ LLM Benchmarking and Evaluation
✅ Generative AI Governance and Ethics
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