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This image showcases the hidden order behind modern digital infrastructure — a cable management panel within a server rack or network cabinet. Red and blue cables feed neatly through brushed access slots and guiding rings, each pathway carefully routed to prevent tangling, protect connections, and improve airflow. Above, polished conduits and metallic fittings reinforce the industrial precision of the design, adding both function and symmetry.
Such panels are essential in data centers and server rooms, where they transform a potential mess of wires into a streamlined, maintainable system. By reducing clutter, preventing cable strain, and ensuring efficient airflow, they extend hardware lifespan while improving reliability. A glimpse like this reveals the artistry in infrastructure — technology’s unseen backbone, where precision and performance go hand in hand.
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
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January 06, 2026 at 12:44AM
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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
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January 11, 2026 at 12:19AM
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Inferencelabs Leads the Way as the Best AI Company in India. Uncover the potential of artificial intelligence and machine learning through our expert solutions
Unlock data-driven insights with Inference Labs, the best data analytics company in India. Empower your business with our advanced data solutions
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Data science is an interdisciplinary field that involves the extraction of insights and knowledge from data using a combination of statistical, mathematical, and computational techniques. It involves collecting, cleaning, processing, and analyzing large and complex datasets to gain insights and make informed decisions. Data science draws on a variety of disciplines, including statistics, mathematics, computer science, and domain-specific knowledge.
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
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January 09, 2026 at 01:47AM
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Big Data is a term that refers to vast amounts of data, both structured and unstructured, that are generated from various sources, such as social media, internet searches, and mobile devices. There are five key characteristics of Big Data, known as the Five V’s: Volume, Velocity, Variety, Veracity, and Value.
In this Tutorial we will learn about:
What is Big Data?
The Characteristics of Big Data:Five V’s Explained
What’s This About a 6th and 7th V?
How Would You Like to Become a Data Engineer?
Volume, Velocity, Variety, Veracity, Value
What is Big Data?
Big Data is a term used to describe extremely large and complex data sets that cannot be easily managed or analyzed using traditional data processing methods. The term “big” refers to the size and complexity of the data, which can come from various sources, such as social media, online transactions, sensors, and mobile devices.
The concept of Big Data is not only about the sheer volume of data but also includes the velocity, variety, veracity, and value of data. Big Data can be structured, semi-structured, or unstructured and may include various types of data, such as text, images, audio, and video.
The analysis of Big Data has the potential to provide valuable insights and improve decision-making processes in fields such as healthcare, finance, marketing, and logistics. Big Data technologies, such as Hadoop, Spark, and NoSQL databases, have emerged to help organizations manage and analyze massive amounts of data more efficiently and effectively.
For More Info: datavalley.ai/characteristics-of-big-data/
www.datascienceverse.com/machine-learning/how-to-learn-da... experience will determine how hard it is to learn data science. A background in computer science and mathematics will make the transition to data science simpler, similar to acquiring human languages.
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Matplotlib and Seaborn form the core of Python-based data visualization. They facilitate data analysis and forecasting by breaking down a large dataset into manageable graphs. Both are crucial components of data science that simplify and expand the accessibility of complex datahttps://www.datascienceverse.com/data-visualization/python-seaborn-vs-matplotlib-comparison
IVA PRIVATE LTD, is a Data Engineering and smart business company in Technopark Trivandrum. Top data engineering services providers Design Thinking and UX, Data Science and Analytics, Data Engineering and Data Operations, Cloud Transformation and Management, Legacy Modernization, Quality Assurance and Testing, Business Operation and Automation. Data Engineering evolved to describe a role that moved away from using traditional ELT tools and developed its own tools to handle the increasing volumes of data.
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 : 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.
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In rеcеnt yеars, thе financial industry has undеrgonе a significant transformation, thanks to thе rapid advances in technology. One of the most groundbreaking dеvеlopmеnt has been thе intеgration of Artificial Intеlligеncе (AI) and Machinе Lеarning (ML) into financial procеssеs. Thеsе cutting-еdgе technologies havе not only streamlined opеrations but havе also rеvolutionizеd dеcision-making, risk managеmеnt, and customеr еxpеriеncе in thе financе sector.
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Nowadays many web developers are beginning to wonder if they should migrate from web development to data science as a future career. The industry will continue to be more data-driven in the future. So, is it accurate to say that changing careers to data science may help businesses satisfy their needs?
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.
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Get ready for the Talend Core Developer exam with confidence using Pass4Future expert-designed practice tests. These resources mirror real exam scenarios to boost your readiness. Study smarter with updated questions and pass on your first try.
Discover how Apache NiFi cuts development and maintenance time with drag-and-drop pipelines and reusable templates.
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Big data is a term used to describe the massive amounts of data that are generated every day by businesses, organizations, and individuals. Hadoop is an open-source framework that is used to store and process big data. It is a popular choice for big data applications because it is scalable, fault-tolerant, and affordable.
If you are interested in learning BigData Classes with Certification, H2K Infosys is a great place to start. They offer a variety of Hadoop training courses, both online and in-person. Their courses are designed to teach you the fundamentals of Hadoop, as well as the latest technologies. They also offer a variety of certifications, so you can get the certification that you need to boost your career.
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DevOps, the magical unicorn that combines development and operations, is all about collaboration and productivity. It's a philosophy that brings together these two formerly feuding factions and provides them with a common goal: delivering software faster and more efficiently. And who doesn't love efficiency? In the world of DevOps, teams work in harmony, sharing responsibilities and communicating seamlessly. No more finger-pointing and blame games! With improved collaboration between teams, the development and operations folks can finally be friends. But wait, there's more! DevOps also brings you faster software delivery.
Oracle GoldenGate Microservices is the modern, flexible way to ensure your data moves seamlessly, stays consistent, and is always available across multiple systems
With the advent of emerging technologies and the rising demand for big data engineers, we are on the threshold of witnessing a grandiose development in the field of data engineering. Here's what to expect in 2023. bit.ly/3ZEeBUF
Are you interested in the world of data science programming languages? As we all know, data science is an ever-evolving field, and programming languages play a crucial role in its development. In this post, we'll explore the different programming languages that data scientists use to analyze and manipulate large data sets. Whether you're a seasoned data scientist or just starting out, understanding the right programming language to use can make a huge difference in your work. Join me as we dive into the exciting world of data science programming languages!
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This program introduces learners to Hadoop ecosystem tools such as HDFS, MapReduce, Hive, and data processing frameworks used in large-scale analytics. It prepares professionals to handle structured and unstructured data in enterprise environments. Practical knowledge supports real-world big data operations.
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