Uploaded August 2026 | Updated September 2026, 2 weeks ago

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🔥Advanced Executive Program In Applied Generative AI -simplilearn.com/applied-generative-ai-course?tag=ai&utm_campaign=LOSbOAT2Jh0&utm_medium=ShortsDescription&utm_source=Youtube
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Prompt engineering is no longer enough. In 2026, the real AI upgrade is context engineering—the discipline of designing what the model sees, not just how you phrase the prompt. While prompt engineering optimizes wording, context engineering builds the full information environment: system prompts, conversation history, retrieved documents (RAG), tool definitions and outputs, memory, and state—curated and refreshed for each inference.

This shift matters because production AI systems fail when the model lacks the right knowledge, not just the right prompt. Context engineering adds persistent, governed knowledge infrastructure (semantic layers, entity resolution, data lineage, policies) so agents answer with accurate, up‑to‑date context instead of guessing. In short: prompt engineering asks “How do I word this?”; context engineering asks “What does the model need to know right now?”

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➡️ About Advanced Executive Program in Applied Generative AI





Key Features:

✅ Curriculum vetted by IITM Pravartak, Technology Innovation Hub of IIT Madras
✅ Program certificate from IITM Pravartak Technologies Foundation
✅ Masterclasses by IITM Pravartak faculty
✅ Opportunity for a 2-day campus immersion at IIT Madras Research Park
✅ 90+ live demonstrations, coding exercises, guided practices, and hands-on labs
✅ Learn 29+ industry-relevant AI tools and frameworks
✅ Access official Microsoft learning content and earn Microsoft Learn certificates
✅ 10 real-world AI projects across Tech, Finance, Healthcare, and Banking
✅ Live workshops covering emerging AI trends, tools, and breakthroughs
✅ Learn to build and deploy AI agents, RAG applications, and intelligent workflows
✅ Simplilearn’s AI-Powered JobAssist to help you get noticed by top hiring companies

Skills Covered

✅ Generative AI
✅ Agentic AI
✅ Prompt Engineering
✅ AI Agents & Intelligent Automation
✅ Large Language Models (LLMs)
✅ Retrieval-Augmented Generation (RAG)
✅ Model Context Protocol (MCP)
✅ Multi-Agent Systems
✅ Agent Orchestration
✅ LLM Application Development
✅ AI Workflow Design
✅ LLMOps
✅ Vector Databases
✅ AI Governance
✅ Compliance & Security
✅ AI Copilots
✅ Tool Integration
✅ Observability & Monitoring
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