PurpleSkill

Welcome to PurpleSkill – Your Gateway to the Future of Tech. Ready to transform your career with cutting-edge skills in AI, Cloud, and IT? At PurpleSkill, we simplify complex tech into easy-to-learn, real-world content that helps you grow faster. What You’ll Learn Here: AI & Generative AI (ChatGPT, Copilot, OpenAI, Azure A, Azure OpenAI), Cloud Computing (Microsoft Azure) & DevOps, Containerization and Container Orchestration Tools (Docker & Kubernetes) , Programming Skills (Python, Java & more), Career Tips, Interview Prep & Microsoft Exam Certifications Prep. Content Format: 5–8 minute deep dives, 60-second shorts & reels, Real use cases, projects, demos, and quizzes. Whether you're new or leveling up in the tech world — This is not just learning — it’s your red carpet to tech success.

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Module 1: Build Autonomous AI Agents with LLMs | Agentic AI Explained Step-by-Step #ai #agenticai

⚠️ Traditional chatbots only respond. Agentic AI systems think, decide, and act.

In this video, we kick off Module 1 of the Agentic AI Masterclass, where you’ll learn how Large Language Models (LLMs) can be transformed into autonomous AI agents capable of reasoning, decision-making, and action execution.

You’ll clearly understand:

What truly makes an AI system agentic How autonomous AI agents differ from chatbots The core architecture of agentic AI systems The complete agent lifecycle: input → reasoning → action → feedback The role of LLMs in autonomous decision-making Proven single-agent design patterns

By the end of this module, you’ll be able to build your first autonomous AI agent powered by an LLM — a critical foundation for advanced Agentic AI, LangChain, multi-agent systems, and enterprise AI workflows.

🔔𝐃𝐨𝐧'𝐭 𝐟𝐨𝐫𝐠𝐞𝐭 𝐭𝐨 𝐬𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐦𝐲 𝐜𝐡𝐚𝐧𝐧𝐞𝐥 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐮𝐩𝐝𝐚𝐭𝐞𝐬.    / @purpleskill  

🔗 Stay Connected With Me.

Instagram:   / purpleskill_admin  

Twitter (X): https://x.com/PurpleSkillTech

LinkedIn:   / purpleskill  

📩 For business inquiries: [email protected]

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Azure AI Speech Service Tutorial | Text to Speech, Speech to Text & Translation with Python #ai

In this complete hands-on tutorial, you’ll learn how to build speech-enabled AI applications using Azure AI Speech Service with Python. GitHub URL to Clone the Code : https://github.com/TrainerKrunal/purp...

This video covers end-to-end speech capabilities, including:

Text-to-Speech (TTS) Speech-to-Text (STT) Real-time Speech Translation

We start from Azure Portal setup, explore the Python SDK, and then build live speech demos using microphone input and real-time processing.

This session is ideal for: Developers & software engineers Azure AI learners Microsoft Certified Trainers (MCTs) AI-102 exam aspirants Teams building voice-enabled applications

🔍 What You’ll Learn in This Video

✔️ What is Azure AI Speech Service ✔️ Creating Speech Service in Azure Portal ✔️ Subscription key & region-based authentication ✔️ Python project structure for speech apps ✔️ Text-to-Speech with multiple voices & languages ✔️ Speech-to-Text (live transcription using mic) ✔️ Continuous vs single-shot recognition ✔️ Real-time speech translation (multi-language) ✔️ Audio handling & microphone setup ✔️ Best practices for production speech apps

🧩 Azure AI Speech Capabilities Explained

With Azure AI Speech Service, you can:

Convert text into natural-sounding human speech Transcribe live speech with high accuracy Translate speech across languages in real time Build voice assistants, accessibility tools & chatbots Support multiple accents, languages & speaking styles All powered by pre-trained neural speech models — no ML training required.

🔔𝐃𝐨𝐧'𝐭 𝐟𝐨𝐫𝐠𝐞𝐭 𝐭𝐨 𝐬𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐦𝐲 𝐜𝐡𝐚𝐧𝐧𝐞𝐥 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐮𝐩𝐝𝐚𝐭𝐞𝐬.    / @purpleskill  

🔗 Stay Connected With Me.

Instagram:   / purpleskill_admin  

Twitter (X): https://x.com/PurpleSkillTech

LinkedIn:   / purpleskill  

📩 For business inquiries: [email protected]

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Grow in Azure: Certification Path, Roles & Career Guidance | India MCT Marathon Confused about which Azure certification to start with? Not sure whether certifications or hands-on skills matter more? In this practical and student-friendly session from the India MCT Marathon, Microsoft Certified Trainer Rahul Ambhore breaks down the complete Azure career growth path—from fundamentals to architect level. 🔍 What you’ll learn in this session: ✔️ Azure certification roadmap (Fundamental → Associate → Expert) ✔️ Role-based certifications explained (Admin, DevOps, Security, AI, Data) ✔️ How certifications align with real-world job roles ✔️ Certifications vs hands-on skills – the real truth ✔️ How much time it takes to prepare for Azure exams ✔️ Best learning resources: Microsoft Learn, Applied Skills, ESI ✔️ Career guidance for students & early professionals This session is perfect for: College students Freshers starting in cloud Working professionals moving to Azure MCTs & trainers guiding learners 🎯 If you want clarity, structure, and a realistic Azure career plan—this video is a must-watch. Speaker: Rahul Ambhore Role: Cloud Architect (Azure, GCP, Oracle) Experience: 17+ Years in IT Specialization: Azure DevOps, Cloud Security MCT Experience: 7+ Years Session: India MCT Marathon 00:00 – Welcome & Introduction 02:20 – Why Azure & Cloud Careers Matter 05:10 – Certifications vs Hands-On Skills 09:00 – Azure Career Path Explained 13:30 – Fundamental Certifications (AZ-900, AI-900, DP-900) 18:10 – Associate & Role-Based Certifications 24:30 – Expert & Architect Level Roles 29:40 – Learning Resources (Microsoft Learn, Applied Skills, ESI) 36:10 – How Much Time Is Needed for Certifications? 41:30 – Student Q&A (Which Certification to Start With?) 47:00 – Final Advice & Career Takeaways Grow in Azure Azure certification roadmap Azure career path Azure fundamentals Azure role based certifications AZ-900 preparation Azure administrator career Azure cloud engineer Azure architect roadmap Microsoft Azure training Cloud computing certification Microsoft Azure certification Enterprise cloud skills IT career growth Cloud architect career Professional upskilling Azure security training DevOps career path Your Searches: Which Azure certification should I start with Azure certification path for students Azure career roadmap Azure admin vs architect Your Queries: Is Azure certification worth it? How long does AZ-900 take? Do certifications help in jobs? Azure career for freshers https://www.youtube.com/watch?v=LzuP6IK_FP0 via PurpleSkill https://www.youtube.com/channel/UCJqDaKaDqZtkbI2gukHJ49g January 11, 2026 at 12:19AM

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How to get Started with Agentic AI Agentic AI is the next evolution beyond Generative AI—where AI systems don’t just respond, but plan, decide, and act autonomously. In this insightful and beginner-friendly session from the India MCT Marathon, Rakesh Darge explains how to get started with Agentic AI, using real-world analogies, clear frameworks, and a live demo with Microsoft Copilot Studio. 🔍 What you’ll learn in this session: ✔️ What Agentic AI really means (in simple terms) ✔️ Difference between Generative AI vs Agentic AI ✔️ Why “action” is the biggest shift in AI systems ✔️ Real-world examples of AI agents (past to present) ✔️ Levels of AI agents (RPA → Intelligent Automation → Agentic AI) ✔️ The SPAR Framework • Sense • Plan • Act • Reflect ✔️ How AI agents learn and improve (reinforcement learning) ✔️ Live demo: Building an autonomous agent using Copilot Studio ✔️ End-to-end automation using email-triggered AI agents This session is perfect for: Beginners exploring Agentic AI Azure, Power Platform & Dynamics professionals MCTs & trainers teaching AI concepts Developers & architects moving beyond GenAI 🎯 If you want a clear, structured entry point into Agentic AI, this video is a must-watch. 👤 Speaker Details Speaker: Rakesh Darge Role: Lead Architect & Customer Success Architect Experience: 24+ Years in IT Expertise: Agentic AI, Dynamics 365, Power Platform, ERP Automation Community: Founder – Mumbai Dynamics 365 & Power Platform User Group Session: India MCT Marathon 00:00 – Welcome & Speaker Introduction 04:10 – What Is Agentic AI? 08:30 – Generative AI vs Agentic AI 13:10 – Real-World AI Agent Examples 18:00 – Levels of AI Agents Explained 23:30 – SPAR Framework (Sense, Plan, Act, Reflect) 31:20 – Tools, Actions & Autonomous Execution 36:40 – Learning Resources for Agentic AI 40:10 – Live Demo: Agent Automation with Copilot Studio 47:20 – Demo Walkthrough & Results 50:30 – Key Takeaways & Closing Agentic AI How to get started with Agentic AI Agentic AI for beginners Generative AI vs Agentic AI AI agents explained Copilot Studio agents AI automation Enterprise AI automation AI workflow automation Business process automation Microsoft AI solutions AI agent frameworks Digital transformation AI Your Search: What is Agentic AI? How to build AI agents Agentic AI beginner guide Copilot Studio AI agents Your Queries: Difference between GenAI and Agentic AI How AI agents work How to create AI agents in Copilot Studio AI agents: real-world examples https://www.youtube.com/watch?v=uP9BnrLr0A8 via PurpleSkill https://www.youtube.com/channel/UCJqDaKaDqZtkbI2gukHJ49g January 09, 2026 at 01:47AM

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Building Intelligent Multi-Agent AI Solutions with Azure AI Foundry Multi-Agent AI is the next evolution of intelligent systems, and Azure AI Foundry makes it practical, scalable, and enterprise-ready. In this highly technical yet practical session from the India MCT Marathon, Microsoft MVP & MCT C R Bhargavi walks you through building intelligent multi-agent AI solutions using Azure AI Foundry. 🔍 What you’ll learn in this session: ✔️ What intelligent AI agents really are ✔️ Single-agent vs multi-agent architectures ✔️ Agent orchestration concepts & real-world use cases ✔️ Azure AI Agent Service explained ✔️ Azure AI Foundry architecture & core components ✔️ Multi-agent orchestration patterns • Group Chat • Reflection • Selector • Swarm ✔️ Live demo: building & testing multi-agent systems in Azure AI Foundry ✔️ How agents collaborate, review, and aggregate results This session is ideal for: AI engineers & architects Azure developers MCTs teaching AI & Azure Professionals exploring Agentic AI systems Speaker: C R Bhargavi Roles: Microsoft MVP, Microsoft Certified Trainer (MCT) Profile: Global Speaker, Blogger, Author, Mentor Expertise: Agentic AI, Azure AI Foundry, Intelligent Systems Session: India MCT Marathon 🎯 If you want to move beyond basic LLMs and build real agentic AI systems, this video is a must-watch. 00:00 – Introduction & Speaker Overview 03:10 – What Is an Intelligent AI Agent? 07:00 – Single Agent vs Multi-Agent Systems 11:30 – Ways to Build Intelligent Agents (Copilot, Foundry, SK) 16:20 – Azure AI Foundry Overview & Architecture 22:00 – Agent Service & Core Components 27:40 – Multi-Agent Orchestration Patterns Explained 34:50 – Live Demo: Multi-Agent Setup in Azure AI Foundry 44:20 – Demo Results & Aggregation 48:30 – Key Takeaways & Closing Multi-Agent AI Azure AI Foundry Agentic AI Azure AI Agents Multi-agent orchestration AI agent architecture Azure AI Agent Service Intelligent agents Enterprise AI solutions AI architecture design Cloud AI platforms Azure AI services Agent-based AI systems AI engineering Your Searches: How to build multi-agent AI Azure AI Foundry agents Agentic AI Azure AI agent orchestration patterns Your Queries: What is multi-agent AI? How does Azure AI Foundry work? Difference between single-agent and multi-agent AI Azure AI agent service explained https://www.youtube.com/watch?v=cff1j2H-tO0 via PurpleSkill https://www.youtube.com/channel/UCJqDaKaDqZtkbI2gukHJ49g January 06, 2026 at 12:44AM

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Deploy - 50 Azure Demo Scenarios With A Single Command Line

Creating, maintaining, and delivering reliable Azure demos is one of the biggest challenges for trainers and presenters.

In this powerful closing session of the India MCT Marathon, Microsoft Technical Trainer Peter De Tender introduces an open-source solution that lets you deploy 50+ Azure demo scenarios using a single command line.

Useful Links Mentioned

Trainer Demo Deploy:

https://aka.ms/TrainerDemoDeploy

Microsoft Learning GitHub:

https://microsoftlearning.github.io