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Introduction to Agentic AI | What is Agentic AI? Explained in Telugu | AI for Beginners | Agentic AI Crash Course STOP Building Fake AI Agents! 95% of "AI Agent" tutorials are teaching glorified chatbots. This tutorial series teaches you how to build REAL thinking Agents with cognitive capabilities. 🎯What is Agentic AI? Unlike traditional AI that just responds, Agentic AI systems can reason, plan, use tools dynamically, and learn from experience. They don't follow scripts - they CREATE them. Perfect for: Software Engineers, AI Developers, Tech Students, Telugu Tech Community, Computer Science Students, AI Researchers, Machine Learning Engineers, AI Beginners What You'll Learn: Real AI Agents Vs Workflow Automation Cognitive Architecture - How thinking machines actually work Reasoning Loops - Build AI that can analyze and strategize Dynamic Tool Selection - AI that chooses tools intelligently Memory Systems - Create AI that learns from experience Future of Engineering - How Agentic AI changes software development Key Concepts Covered Agentic AI Definition and core principles Cognitive Architecture in artificial intelligence Reasoning vs Response - fundamental differences Tool Calling Capabilities and dynamic selection Multi-step Problem Solving with AI agents Memory Systems for contextual awareness About Datavalley: Datavalley is a trusted name in tech education and professional upskilling. With hands-on training, expert mentorship, and real-time project exposure, thousands of learners have secured jobs in top MNCs and startups worldwide. 📞 Join Our 100% Job Guarantee Program! Interested? Call/WhatsApp: +91 80199 79783 🌐 Connect with us: LinkedIn - / datavalley-ai Instagram - / datavalley.ai YouTube - / @datavalley-inc X Twitter - https://x.com/Datavalley_ai Website : https://datavalley.ai/ FAQs: Q: What is Agentic AI? A: Agentic AI refers to artificial intelligence systems that can reason, plan, and act autonomously without constant human supervision, unlike traditional AI that only responds to inputs. Q: How is Agentic AI different from regular AI? A: Regular AI follows pre-programmed responses, while Agentic AI can think through problems, create plans, select appropriate tools, and learn from experience. Q: What are the main components of Agentic AI? A: The three pillars are: 1) Reasoning Engine for problem analysis, 2) Tool Orchestration for dynamic tool selection, and 3) Memory Systems for learning and context awareness. Q: Can beginners learn Agentic AI? A: Yes, this video is designed for beginners with step-by-step explanations in Telugu and English, with practical coding examples. Q: What programming skills do I need for Agentic AI? A: Basic Python knowledge is helpful, but the video explains concepts clearly with working code examples that beginners can follow. Agentic AI Telugu | What is Agentic AI explained | AI Agents vs workflows | Multi-Agent Systems | AI Tutorial | Agentic AI Crash Course | Agentic AI Tutorial AI for software engineers #aiagents #aiforbeginners #aiintelugu #agenticai #aitutorial #telugutech #aiforengineers #artificialintelligence #machinelearning #softwareengineering #programmingtelugu #techeducation #AIWorkflow #AIAutomation #llm #generativeai #AITools #techtrends2025 #hyderabadtech #agenticaiexplained #datavalley For more details: Facebook : / datavalleyai Instagram : / datavalley.ai Twitter : / datavalley_ai LinkedIn : / datavalley-ai Website : https://datavalley.ai/ WhatsApp : https://api.whatsapp.com/send/?phone=... Also, do not forget to join us on our website's : 1. Community Site: https://community.datavalley.ai/ 2. News Site: https://news.datavalley.ai/ and be the first to hear about the latest news and updates. 📧 For any inquiries or collaboration opportunities, please contact us at : info@datavalley.ai 🔥 Interested in Attending Live Classes? Call Us: IN - +91 9256899199/9138981888/ US - +1 3027226197