Smart Networks

📡 Smart Networks Training Course (5 Days) 📡

Duration: 5 Days

Mode: Classroom / Online / Hybrid

Target Audience: Network Engineers, IT Professionals, Telecom Experts, Cloud & IoT Specialists, Cybersecurity Professionals

📌 Course Overview

This 5-day Smart Networks Training Course will provide a deep dive into the concepts, technologies, and applications of intelligent networks. Participants will learn how AI, machine learning, SDN, NFV, and automation are transforming modern networks for 5G, IoT, cloud, and enterprise environments.

📅 Day-Wise Training Plan

📅 Day 1: Introduction to Smart Networks

🔹 What Are Smart Networks? Definition & Importance
🔹 Key Components: AI, ML, SDN, NFV, Automation
🔹 Evolution from Traditional to Smart Networks
🔹 Use Cases: 5G, IoT, Smart Cities, Cloud Computing
🔹 Hands-on: Network Performance Monitoring with AI Tools

📅 Day 2: Software-Defined Networking (SDN) & Network Automation

🔹 SDN Architecture: Control Plane, Data Plane, Applications
🔹 OpenFlow & SDN Controllers (e.g., ONOS, OpenDaylight)
🔹 Intent-Based Networking (IBN) & Zero-Touch Automation
🔹 Network Slicing for 5G & Enterprise Networks
🔹 Hands-on: Configuring an SDN-Based Network

📅 Day 3: Network Function Virtualization (NFV) & Cloud Networks

🔹 What is NFV? Benefits & Key Concepts
🔹 NFV Infrastructure (NFVi), MANO, and Virtual Network Functions (VNFs)
🔹 Integration of NFV with SDN & 5G
🔹 Cloud-Native Networking: Kubernetes, Service Mesh (Istio, Linkerd)
🔹 Hands-on: Deploying Virtual Network Functions (VNFs) in a Cloud Lab

📅 Day 4: AI, Machine Learning & Cybersecurity in Smart Networks

🔹 AI & ML in Network Optimization & Traffic Management
🔹 Predictive Analytics for Network Fault Detection
🔹 AI-Based Network Security: Threat Detection & Anomaly Detection
🔹 Role of Blockchain in Secure Smart Networks
🔹 Hands-on: Using AI for Network Anomaly Detection

📅 Day 5: 5G, IoT & Future Trends in Smart Networks

🔹 5G & Beyond: Network Slicing, Edge Computing, Private 5G Networks
🔹 Smart IoT Networks: Low Power WAN (LPWAN), 6G Vision
🔹 Case Studies: How Enterprises Use Smart Networks
🔹 Final Hands-on Project: Building a Small Smart Network Simulation
🔹 Q&A & Certification Exam

📜 Training Outcomes & Benefits

✔ Understand the architecture & applications of Smart Networks
✔ Gain hands-on experience with SDN, NFV, and AI-driven networking
✔ Learn how Smart Networks improve 5G, IoT, Cloud & Enterprise Systems
✔ Master cybersecurity techniques for intelligent network protection
✔ Receive a Certificate of Completion from Global Skills Academy

Internet of Things IoT Training

🌐 Internet of Things (IoT) Training Course – 15 Days

📅 Duration: 15 Days

📍 Mode: Classroom / Online / Hybrid

🎯 Target Audience: Engineers, IT Professionals, Network Administrators, Embedded System Designers, Security Experts, and IoT Enthusiasts

📌 Course Overview

This 15-day IoT training course covers the fundamental concepts, architecture, protocols, hardware, and applications of the Internet of Things (IoT). Participants will learn about sensor integration, IoT protocols, cloud platforms, edge computing, security, and real-world applications in industries like smart homes, healthcare, transportation, and manufacturing.

📅 Day-Wise Training Plan

📅 Week 1: IoT Fundamentals & Architecture

📅 Day 1: Introduction to IoT

🔹 What is IoT? Definition & Evolution
🔹 Components: Sensors, Actuators, Gateways, Cloud
🔹 IoT Communication Models (Device-to-Device, Device-to-Cloud)
🔹 Hands-on: Setting up a Basic IoT Environment

📅 Day 2: IoT Hardware & Sensors

🔹 IoT Device Classification: Edge Devices, Gateways, Cloud Nodes
🔹 Common Sensors & Actuators Used in IoT
🔹 Microcontrollers & Development Boards: Arduino, Raspberry Pi, ESP32
🔹 Hands-on: Connecting Sensors to Raspberry Pi / ESP32

📅 Day 3: IoT Network & Communication Protocols

🔹 IoT Network Stack: LPWAN, Wi-Fi, Bluetooth, Zigbee, LoRaWAN
🔹 IoT Communication Protocols: MQTT, CoAP, HTTP, WebSockets
🔹 Hands-on: Implementing MQTT with an IoT Device

📅 Day 4: IoT Cloud Platforms & Edge Computing

🔹 Introduction to Cloud in IoT: AWS IoT, Microsoft Azure IoT, Google Cloud IoT
🔹 Edge Computing & Fog Computing in IoT
🔹 Data Processing & Analytics in the Cloud
🔹 Hands-on: Sending IoT Data to AWS IoT Core

📅 Day 5: IoT Security & Privacy

🔹 Common IoT Security Threats (DDoS, Data Breaches, Device Hijacking)
🔹 Encryption & Authentication Techniques in IoT
🔹 Hands-on: Securing IoT Data Transmission with TLS

📅 Week 2: IoT Application Development & Industry Use Cases

📅 Day 6: IoT Data Management & Big Data Analytics

🔹 IoT Data Collection & Storage
🔹 Real-Time Data Processing for IoT
🔹 Hands-on: Analyzing IoT Sensor Data with Python

📅 Day 7: IoT Application Development & APIs

🔹 IoT Programming: Python & Node.js for IoT Applications
🔹 RESTful APIs & Web Services for IoT
🔹 Hands-on: Developing a Simple IoT Web Application

📅 Day 8: IoT in Smart Homes & Smart Cities

🔹 Home Automation with IoT Devices (Smart Lighting, Smart Security)
🔹 IoT in Smart Cities: Intelligent Traffic, Public Safety, Waste Management
🔹 Hands-on: Building a Smart Home Automation System

📅 Day 9: IoT in Healthcare & Wearable Technology

🔹 IoT for Remote Patient Monitoring
🔹 Wearable Devices & Real-Time Health Analytics
🔹 Hands-on: Simulating a Health Monitoring System Using IoT Sensors

📅 Day 10: IoT in Industrial Automation (IIoT)

🔹 IoT in Manufacturing & Industry 4.0
🔹 Industrial Protocols: OPC-UA, Modbus, MQTT in IIoT
🔹 Hands-on: Building a Smart Factory Simulation

📅 Week 3: IoT Deployment, Advanced Concepts & Final Project

📅 Day 11: AI & Machine Learning in IoT

🔹 Introduction to AI & ML for IoT
🔹 Predictive Maintenance Using AI in IoT
🔹 Hands-on: Implementing AI for IoT Data Analysis

📅 Day 12: IoT & Blockchain Integration

🔹 Role of Blockchain in IoT Security & Transactions
🔹 Smart Contracts for IoT Data Integrity
🔹 Hands-on: Creating a Blockchain-Based IoT Solution

📅 Day 13: IoT Testing, Deployment & Scalability

🔹 IoT Testing Strategies & Best Practices
🔹 IoT Deployment Challenges & Strategies
🔹 Hands-on: Deploying an IoT System on AWS Cloud

📅 Day 14: Final Project Implementation

🔹 Students Work on a Real-World IoT Project
🔹 Project Review & Troubleshooting

📅 Day 15: Certification & Industry Trends in IoT

🔹 Future of IoT: 6G, Digital Twins, Edge AI
🔹 Certification Exam & Distribution
🔹 Industry Networking & Career Guidance

📜 Course Benefits & Outcomes

✔ Gain hands-on experience in IoT hardware, software, and cloud platforms
✔ Master IoT protocols, security techniques & AI integration
✔ Build real-world IoT applications in Smart Homes, Healthcare, Industry 4.0
✔ Work on a Live IoT Project
✔ Receive IoT Certification from Global Skills Academy

📌 Who Should Attend?

✅ Engineers & IT Professionals looking to enter IoT development
✅ Developers & Data Scientists exploring IoT analytics & AI integration
✅ Network & Security Experts focusing on IoT security and connectivity
✅ Students & Enthusiasts who want to build IoT projects

M2M Communications training Course

📡 M2M (Machine-to-Machine) Communications Training Course – 10 Days

📅 Duration: 10 Days

📍 Mode: Classroom / Online / Hybrid

🎯 Target Audience: Telecom & Network Engineers, IoT Developers, IT Professionals, Industrial Automation Experts, and Enthusiasts

📌 Course Overview

This 10-day M2M Communications Training Course provides a deep understanding of Machine-to-Machine (M2M) communication, its role in IoT, Industrial Automation, Smart Cities, and Telecommunications, and how it enables seamless connectivity between devices. The course covers M2M architecture, communication protocols, security, cloud integration, and real-world applications.

📅 Day-Wise Training Plan

📅 Week 1: Fundamentals & Communication Protocols

📅 Day 1: Introduction to M2M Communications

🔹 What is M2M Communication?
🔹 Evolution from M2M to IoT
🔹 M2M vs IoT: Key Differences
🔹 M2M Market Trends & Industry Use Cases

📅 Day 2: M2M Communication Architecture

🔹 M2M System Components: Sensors, Controllers, Gateways, Cloud
🔹 Device-to-Device (D2D) and Device-to-Cloud Communication
🔹 Hands-on: Understanding M2M Architecture with Real-World Examples

📅 Day 3: M2M Communication Technologies & Networks

🔹 Cellular M2M Networks: 2G, 3G, 4G, 5G, NB-IoT, LTE-M
🔹 Non-Cellular Networks: LoRaWAN, Sigfox, Zigbee, Bluetooth, Wi-Fi
🔹 Hands-on: Configuring M2M Communication Over LoRaWAN

📅 Day 4: M2M Protocols & Standards

🔹 M2M Communication Protocols: MQTT, CoAP, HTTP, WebSockets, XMPP
🔹 Industrial M2M Protocols: Modbus, OPC-UA, Profibus
🔹 Hands-on: Implementing MQTT in M2M Communication

📅 Day 5: M2M Cloud Platforms & Data Processing

🔹 Cloud Computing for M2M: AWS IoT, Microsoft Azure IoT, Google Cloud IoT
🔹 Edge Computing & Fog Computing in M2M
🔹 Hands-on: Sending M2M Data to AWS IoT Core

📅 Week 2: Security, Applications & Project Work

📅 Day 6: M2M Security & Data Protection

🔹 Key M2M Security Challenges: Device Authentication, Data Encryption, Cyber Threats
🔹 Security Solutions: TLS/SSL, VPNs, Blockchain for M2M
🔹 Hands-on: Implementing Secure M2M Communication

📅 Day 7: M2M in Smart Cities & Industrial Automation

🔹 M2M in Smart Traffic, Smart Energy Grids, Water Management
🔹 Industrial M2M Applications: Predictive Maintenance, Factory Automation
🔹 Hands-on: Building a Smart City M2M Simulation

📅 Day 8: M2M in Healthcare & Transportation

🔹 M2M for Remote Patient Monitoring & Wearable Health Devices
🔹 M2M in Logistics & Fleet Management
🔹 Hands-on: Developing a Remote Patient Monitoring System

📅 Day 9: M2M Project Development & Testing

🔹 Best Practices for M2M Network Deployment
🔹 IoT vs M2M Convergence & Future Trends
🔹 Hands-on: Deploying an End-to-End M2M Solution

📅 Day 10: Certification & Final Project Presentation

🔹 Review of Key Topics & Emerging Technologies in M2M
🔹 Final Project Evaluation & Certification
🔹 Industry Networking & Career Guidance

📜 Course Benefits & Outcomes

✔ Gain hands-on experience in M2M networks, protocols, and cloud platforms
✔ Learn how M2M drives Smart Cities, Industry 4.0, Healthcare, and Telecom
✔ Implement secure and scalable M2M communication solutions
✔ Work on a Live M2M Project
✔ Receive M2M Certification from Global Skills Academy

📌 Who Should Attend?

✅ Telecom & Network Engineers working with M2M communication systems
✅ IoT Developers & Industrial Engineers integrating M2M in real-world applications
✅ IT & Security Professionals focusing on M2M security and cloud integration
✅ Students & Enthusiasts looking to gain expertise in M2M

RFID training Course

📡 RFID (Radio Frequency Identification) Training Course – 10 Days

📅 Duration: 10 Days

📍 Mode: Classroom / Online / Hybrid

🎯 Target Audience: IT & Network Professionals, Supply Chain Managers, Security & Surveillance Experts, Engineers, and IoT Enthusiasts

📌 Course Overview

This 10-day RFID training course provides a comprehensive understanding of Radio Frequency Identification (RFID) technology, its applications, protocols, security considerations, and real-world implementations in industries like retail, logistics, healthcare, security, and manufacturing. Participants will get hands-on experience with RFID tags, readers, software, and deployment strategies.

📅 Day-Wise Training Plan

📅 Week 1: Fundamentals & System Architecture

📅 Day 1: Introduction to RFID Technology

🔹 What is RFID? Evolution & History
🔹 RFID vs Barcodes: Advantages & Differences
🔹 Components of an RFID System: Tags, Readers, Middleware, Database
🔹 RFID Frequencies: Low Frequency (LF), High Frequency (HF), Ultra High Frequency (UHF), Microwave
🔹 Hands-on: Introduction to RFID Readers & Tags

📅 Day 2: RFID System Architecture & Working Principles

🔹 How RFID Works: Electromagnetic Fields & Data Transmission
🔹 Types of RFID Tags: Active, Passive, and Semi-Passive
🔹 RFID Reader Types: Fixed, Mobile, Integrated
🔹 Middleware & Software in RFID Systems
🔹 Hands-on: RFID Tag Encoding & Decoding

📅 Day 3: RFID Protocols & Standards

🔹 ISO Standards for RFID: ISO 14443, ISO 15693, ISO 18000-6C (EPC Gen2)
🔹 EPC Global Network & RFID Data Formats
🔹 NFC (Near Field Communication) vs RFID
🔹 Hands-on: Programming an RFID Tag with EPC Data

📅 Day 4: RFID in IoT & Cloud Integration

🔹 Role of RFID in IoT & Smart Devices
🔹 Cloud-Based RFID Solutions: AWS, Microsoft Azure, Google Cloud
🔹 RFID and Edge Computing for Real-Time Data Processing
🔹 Hands-on: Connecting RFID to an IoT Cloud Platform

📅 Day 5: RFID Security & Privacy Challenges

🔹 RFID Security Risks: Tag Cloning, Eavesdropping, Data Interception
🔹 Encryption & Authentication in RFID Systems
🔹 GDPR & Compliance Regulations for RFID Data Privacy
🔹 Hands-on: Implementing Secure RFID Authentication

📅 Week 2: Industry Applications & Real-World Implementations

📅 Day 6: RFID in Supply Chain & Logistics

🔹 RFID in Warehouse Management & Inventory Tracking
🔹 Case Studies: Amazon, Walmart, DHL
🔹 Hands-on: Setting Up an RFID-Based Inventory Tracking System

📅 Day 7: RFID in Healthcare & Pharmaceuticals

🔹 RFID in Patient Identification, Medical Equipment Tracking, Drug Authentication
🔹 Case Studies: Hospitals Using RFID for Patient Safety
🔹 Hands-on: Deploying RFID for Asset Tracking in Healthcare

📅 Day 8: RFID in Security & Access Control

🔹 RFID in Smart Cards, Passport Control, Biometric Integration
🔹 RFID for Employee & Vehicle Access Management
🔹 Hands-on: Creating an RFID-Based Access Control System

📅 Day 9: RFID in Retail & Smart Payments

🔹 RFID in Automated Checkout & Cashless Payments
🔹 Case Studies: Zara, Decathlon, Starbucks RFID Payments
🔹 Hands-on: Building an RFID-Based Smart Payment System

📅 Day 10: Final Project, Review & Certification

🔹 Review of Key Topics & Emerging RFID Trends
🔹 Real-World Project Implementation & Presentation
🔹 Certification & Career Guidance in RFID Industry

📜 Course Benefits & Outcomes

✔ Gain hands-on experience with RFID hardware, tags, and readers
✔ Learn RFID protocols, encryption, and security implementation
✔ Implement RFID in retail, logistics, healthcare, and access control
✔ Work on a Live RFID Project
✔ Receive RFID Certification from Global Skills Academy

📌 Who Should Attend?

✅ IT & Network Professionals implementing RFID solutions
✅ IoT Engineers & Industrial Automation Experts using RFID in smart systems
✅ Supply Chain & Logistics Managers optimizing inventory with RFID
✅ Retail & Security Professionals deploying RFID for tracking & access control
✅ Students & Enthusiasts interested in RFID & IoT careers

Digital Economy

📊 Digital Economy Training Course – 5 Days

📅 Duration: 5 Days

📍 Mode: Classroom / Online / Hybrid

🎯 Target Audience: Business Professionals, Entrepreneurs, Policy Makers, IT & Finance Experts, and Students

📌 Course Overview

The Digital Economy Training Course provides a comprehensive understanding of how technology, digital platforms, and innovation are reshaping industries, markets, and business models. This 5-day program covers emerging digital technologies, e-commerce, fintech, digital governance, and data-driven decision-making. Participants will gain insights into AI, blockchain, cloud computing, digital payments, cybersecurity, and regulatory frameworks driving the modern digital economy.

📅 Day-Wise Training Plan

📅 Day 1: Introduction to the Digital Economy

🔹 What is the Digital Economy? Definition & Evolution
🔹 Key Components: Digital Infrastructure, Digital Services, Digital Transactions
🔹 Digital Transformation & Business Innovation
🔹 Role of AI, Big Data, Cloud, and IoT in the Digital Economy
🔹 Case Studies: Google, Amazon, Alibaba, PayPal

📅 Day 2: E-Commerce & Digital Business Models

🔹 Growth of E-Commerce, Online Marketplaces & Digital Platforms
🔹 Business Models: B2B, B2C, C2C, D2C, Subscription-based & Gig Economy
🔹 Digital Marketing & Social Media in the Digital Economy
🔹 Case Studies: Amazon, Shopify, Uber, Airbnb
🔹 Hands-on: Creating an Online Store & Digital Business Strategy

📅 Day 3: Fintech, Digital Payments & Blockchain

🔹 Introduction to Financial Technology (Fintech)
🔹 Digital Payments: UPI, Mobile Wallets, Cryptocurrency, CBDCs
🔹 Blockchain & Its Applications in Finance
🔹 Cybersecurity Challenges & Digital Fraud Prevention
🔹 Case Studies: Bitcoin, Ethereum, Stripe, Paytm
🔹 Hands-on: Exploring a Digital Wallet & Blockchain Transactions

📅 Day 4: Digital Governance, Regulations & Data Privacy

🔹 Digital Economy Policies & Regulations (GDPR, IT Act, Data Protection Laws)
🔹 Role of Governments in the Digital Economy
🔹 Cybersecurity & Ethical AI in Digital Services
🔹 Digital Inclusion & Bridging the Digital Divide
🔹 Case Studies: India’s Digital India Initiative, Estonia’s E-Governance Model
🔹 Hands-on: Understanding Data Privacy Policies & Compliance

📅 Day 5: Future Trends & Digital Transformation Strategies

🔹 Emerging Technologies: 5G, AI, IoT, Metaverse & Web 3.0
🔹 Industry 4.0 & Smart Manufacturing
🔹 Digital Skills & Career Opportunities in the Digital Economy
🔹 Future of Work: Remote Work, Automation, Digital Nomadism
🔹 Case Studies: Tesla’s AI Integration, Facebook’s Metaverse Vision
🔹 Final Project & Certification

📜 Course Benefits & Outcomes

✔ Understand the fundamentals of the digital economy
✔ Learn about e-commerce, fintech, blockchain & AI-driven businesses
✔ Gain insights into digital policies, data privacy & cybersecurity
✔ Explore career opportunities in the digital economy sector
✔ Work on a Live Digital Economy Project
✔ Receive a Digital Economy Certification from Global Skills Academy

📌 Who Should Attend?

✅ Business Professionals & Entrepreneurs adopting digital strategies
✅ Finance & Fintech Professionals exploring digital transactions
✅ IT & Tech Experts interested in blockchain & AI in business
✅ Policy Makers & Regulators working on digital transformation
✅ Students & Researchers learning about the future of digital economies

Smart Grid training Course

⚡ Smart Grid Training Course – 10 Days

📅 Duration: 10 Days

📍 Mode: Classroom / Online / Hybrid

🎯 Target Audience: Electrical Engineers, Power Sector Professionals, IT Experts, Researchers, and Students

📌 Course Overview

The Smart Grid Training Course provides an in-depth understanding of modern electricity networks that integrate digital technologies, automation, IoT, AI, and cybersecurity to optimize energy distribution, consumption, and management. Participants will learn about Smart Meters, Renewable Energy Integration, Demand Response, Energy Storage, and Grid Security.

📅 Day-Wise Training Plan

📅 Day 1: Introduction to Smart Grids

🔹 Definition & Concept of Smart Grids
🔹 Evolution of Traditional vs. Smart Grids
🔹 Key Components: Smart Meters, Sensors, Communication Networks
🔹 Benefits: Efficiency, Reliability, Sustainability
🔹 Case Studies: Europe’s Smart Grid Initiatives, India’s Smart Grid Mission

📅 Day 2: Smart Grid Technologies & Architecture

🔹 Advanced Metering Infrastructure (AMI)
🔹 Role of IoT & AI in Smart Grids
🔹 Smart Grid Communication Technologies: RF, PLC, 5G, IoT
🔹 Smart Grid Control Systems & Data Analytics
🔹 Hands-on: Understanding Smart Grid Architecture

📅 Day 3: Renewable Energy Integration in Smart Grids

🔹 Solar & Wind Power Integration in Smart Grids
🔹 Distributed Energy Resources (DER) & Microgrids
🔹 Energy Storage Solutions: Batteries, Pumped Hydro, Hydrogen
🔹 Grid Stability & Power Quality Management
🔹 Case Studies: Tesla’s Powerwall, Germany’s Renewable Energy Grid

📅 Day 4: Demand Response & Energy Management

🔹 What is Demand Response?
🔹 Load Balancing & Peak Load Reduction
🔹 Real-time Energy Monitoring & Control
🔹 Smart Home Energy Management Systems
🔹 Hands-on: Simulating Demand Response Mechanisms

📅 Day 5: Smart Grid Cybersecurity & Data Protection

🔹 Cyber Threats in Smart Grids
🔹 Grid Security Standards (NIST, IEC 62443)
🔹 AI & Blockchain in Grid Security
🔹 Case Studies: Cyberattacks on Power Grids
🔹 Hands-on: Cybersecurity Risk Assessment for Smart Grids

📅 Day 6: Smart Grid Communication & IoT

🔹 Role of IoT Sensors & Big Data in Smart Grids
🔹 Smart Grid Communication Protocols (DNP3, IEC 61850, MQTT)
🔹 5G & Edge Computing for Smart Grids
🔹 Hands-on: Data Flow in Smart Grid Networks

📅 Day 7: Smart Grid Policies & Regulations

🔹 Global Smart Grid Standards & Policies
🔹 Smart Grid Deployment Challenges & Solutions
🔹 Regulatory Frameworks in India, USA & Europe
🔹 Future Roadmap of Smart Grid Regulations
🔹 Case Studies: India’s Smart Grid Pilot Projects

📅 Day 8: Electric Vehicles (EVs) & Smart Grids

🔹 EV Charging Infrastructure & Grid Integration
🔹 Vehicle-to-Grid (V2G) Technology
🔹 Impact of EV Adoption on Power Demand
🔹 Case Studies: Tesla Superchargers, Japan’s V2G Programs
🔹 Hands-on: Analyzing EV Load Management in Smart Grids

📅 Day 9: Smart Grid Implementation & Business Models

🔹 Smart Grid Project Planning & Deployment Strategies
🔹 Economic & Environmental Benefits of Smart Grids
🔹 Business Models: Utility-led vs. Consumer-led
🔹 Hands-on: Developing a Smart Grid Roadmap for a City

📅 Day 10: Future of Smart Grids & Final Assessment

🔹 Emerging Trends: AI, Blockchain, Quantum Computing in Smart Grids
🔹 Future of Grid Automation & Digital Twin Technology
🔹 Hands-on: Smart Grid Simulation & Real-World Case Studies
🔹 Final Assessment & Certification

📜 Course Benefits & Outcomes

✔ Understand Smart Grid Fundamentals & Technologies
✔ Learn Renewable Energy Integration & Grid Automation
✔ Explore Cybersecurity, IoT, and AI applications in Smart Grids
✔ Develop skills for Smart Grid Planning & Implementation
✔ Gain Hands-on Experience with Smart Grid Simulations
✔ Receive a Smart Grid Certification from Global Skills Academy

📌 Who Should Attend?

✅ Electrical Engineers & Power Sector Professionals
✅ IT & IoT Experts in the Energy Sector
✅ Smart Grid Consultants & Researchers
✅ Government & Regulatory Authorities
✅ Students & Enthusiasts in Renewable Energy & Smart Infrastructure

Smart Cities training Course

🏙️ Smart Cities Training Course – 7 Days

📅 Duration: 7 Days

📍 Mode: Classroom / Online / Hybrid

🎯 Target Audience: Urban Planners, Engineers, Government Officials, IT Professionals, Entrepreneurs, and Students

📌 Course Overview

The Smart Cities Training Course provides an in-depth understanding of modern urban infrastructure that integrates digital technologies, IoT, AI, Big Data, and automation to improve city services, sustainability, and livability. Participants will explore Smart Mobility, Energy Management, Waste Management, Digital Governance, and Cybersecurity.

📅 Day-Wise Training Plan

📅 Day 1: Introduction to Smart Cities

🔹 Definition & Concept of Smart Cities
🔹 Evolution of Traditional vs. Smart Cities
🔹 Key Components: IoT, Big Data, AI, Cloud Computing
🔹 Benefits: Efficiency, Sustainability, Security
🔹 Global Case Studies: Singapore, Barcelona, Amsterdam

📅 Day 2: Smart Infrastructure & Sustainable Urban Planning

🔹 Smart Buildings & Smart Homes
🔹 IoT in Urban Infrastructure & Digital Twins
🔹 Green Buildings & Sustainable Construction
🔹 Role of GIS & AI in Urban Planning
🔹 Hands-on: Smart City Planning & Infrastructure Design

📅 Day 3: Smart Transportation & Mobility Solutions

🔹 Intelligent Traffic Management Systems (ITMS)
🔹 Public Transport Automation & Smart Ticketing
🔹 Electric Vehicles (EVs) & Charging Infrastructure
🔹 Connected & Autonomous Vehicles (CAVs)
🔹 Case Studies: London’s Smart Traffic System, Tesla’s Autopilot

📅 Day 4: Smart Energy, Water, & Waste Management

🔹 Smart Grid & Renewable Energy Solutions
🔹 AI-based Water Conservation & Smart Irrigation
🔹 Waste Management Automation & Recycling Technologies
🔹 Case Studies: San Francisco’s Zero Waste Initiative, India’s Smart City Projects
🔹 Hands-on: Smart Resource Management Solutions

📅 Day 5: Digital Governance & Citizen Engagement

🔹 E-Governance & Smart Administration
🔹 AI-based Public Services & Smart Healthcare
🔹 Smart Policing & Public Safety
🔹 Blockchain for Transparent Governance
🔹 Case Studies: Estonia’s E-Government Model, India’s Digital India

📅 Day 6: Cybersecurity & Privacy in Smart Cities

🔹 Cyber Threats in Smart Cities
🔹 AI & Blockchain for Data Security
🔹 Network Security for IoT Devices in Smart Cities
🔹 Risk Assessment & Disaster Management
🔹 Hands-on: Cybersecurity Simulation for Smart Cities

📅 Day 7: Future of Smart Cities & Final Assessment

🔹 Emerging Trends: 5G, Quantum Computing, AI in Smart Cities
🔹 Sustainable Smart City Development Strategies
🔹 Hands-on: Smart City Development Project
🔹 Final Assessment & Certification

📜 Course Benefits & Outcomes

✔ Gain expertise in Smart City Technologies & IoT Applications
✔ Learn Sustainable Urban Planning & Infrastructure Development
✔ Understand Smart Governance, Energy, & Mobility Solutions
✔ Develop skills for AI-driven City Management & Cybersecurity
✔ Receive a Smart Cities Certification from Global Skills Academy

📌 Who Should Attend?

✅ Urban Planners & Architects
✅ Government Officials & Smart City Project Managers
✅ IT & IoT Professionals
✅ Researchers & Students in Smart Infrastructure
✅ Entrepreneurs & Startups in Smart City Solutions

Industry 4.0 training Course

🏭 Industry 4.0 Training Course – 10 Days

📅 Duration: 10 Days

📍 Mode: Classroom / Online / Hybrid

🎯 Target Audience: Engineers, IT Professionals, Manufacturing Experts, Industrial Managers, Entrepreneurs, and Students

📌 Course Overview

The Industry 4.0 Training Course provides an in-depth understanding of Smart Manufacturing, IoT, AI, Robotics, Big Data, Cloud Computing, Cyber-Physical Systems, and Automation. The course focuses on the digital transformation of industries, enabling participants to optimize manufacturing processes, improve productivity, and enhance efficiency.

📅 Day-Wise Training Plan

📅 Day 1: Introduction to Industry 4.0

🔹 What is Industry 4.0? – Evolution from Industry 1.0 to 4.0
🔹 Core Technologies: IoT, AI, Robotics, Big Data, Cloud Computing
🔹 Cyber-Physical Systems (CPS) in Manufacturing
🔹 Key Benefits & Challenges of Smart Factories
🔹 Global Case Studies: Siemens, Bosch, GE, Tesla

📅 Day 2: Industrial IoT (IIoT) & Smart Sensors

🔹 Introduction to IoT in Manufacturing
🔹 Smart Sensors & Actuators in Industrial Processes
🔹 Real-time Data Monitoring & Predictive Maintenance
🔹 Industrial IoT Networks: Protocols & Standards
🔹 Hands-on: IoT Sensor Implementation in Smart Factories

📅 Day 3: Artificial Intelligence (AI) & Machine Learning in Industry 4.0

🔹 AI-powered Automation & Decision Making
🔹 Machine Learning for Predictive Maintenance & Quality Control
🔹 AI-powered Robotics & Autonomous Systems
🔹 Case Studies: AI in BMW, Rolls Royce AI-driven Analytics
🔹 Hands-on: AI-based Predictive Maintenance Modeling

📅 Day 4: Robotics & Automation in Smart Manufacturing

🔹 Types of Industrial Robots: Collaborative Robots (Cobots), Autonomous Mobile Robots (AMRs)
🔹 Role of AI & IoT in Robotics
🔹 Automation in Assembly Lines & Production
🔹 Human-Robot Collaboration in Factories
🔹 Hands-on: Programming Industrial Robots

📅 Day 5: Big Data Analytics & Cloud Computing in Manufacturing

🔹 Importance of Big Data in Smart Factories
🔹 Cloud Platforms for Industrial Data Storage
🔹 Edge Computing vs. Cloud Computing
🔹 Hands-on: Data Analytics in Manufacturing Operations
🔹 Case Studies: Ford, Intel, & Amazon Smart Factories

📅 Day 6: Digital Twin Technology & Simulation

🔹 What is a Digital Twin? – Virtual Replication of Physical Assets
🔹 Applications in Product Design, Process Optimization, and Maintenance
🔹 Real-time Monitoring & AI-powered Analytics
🔹 Case Studies: Boeing, General Electric, Siemens
🔹 Hands-on: Building a Digital Twin Model

📅 Day 7: Additive Manufacturing & 3D Printing

🔹 Introduction to 3D Printing in Industry 4.0
🔹 Materials Used: Plastics, Metals, Composites
🔹 Applications in Aerospace, Healthcare, Automotive
🔹 Future Trends in Additive Manufacturing
🔹 Hands-on: Creating 3D Models for Manufacturing

📅 Day 8: Cybersecurity in Industry 4.0

🔹 Cyber Threats in Smart Factories
🔹 Protecting Industrial IoT Networks
🔹 AI & Blockchain for Cybersecurity
🔹 Risk Assessment & Compliance in Smart Manufacturing
🔹 Hands-on: Cybersecurity Simulation for IIoT Networks

📅 Day 9: Supply Chain 4.0 & Smart Logistics

🔹 Supply Chain Digitalization & Automation
🔹 Role of AI, Blockchain, & IoT in Supply Chain Optimization
🔹 Smart Warehouses & Automated Inventory Management
🔹 Case Studies: Amazon’s Smart Logistics, Tesla’s AI-driven Supply Chain
🔹 Hands-on: AI-based Inventory Forecasting

📅 Day 10: Future of Industry 4.0 & Final Assessment

🔹 Emerging Trends: 5G, Quantum Computing, AI in Manufacturing
🔹 Sustainable Industry 4.0 Solutions
🔹 Final Assessment & Certification
🔹 Hands-on: Developing a Smart Factory Roadmap

📜 Course Benefits & Outcomes

✔ Master Industry 4.0 Technologies – IoT, AI, Robotics, Big Data, Cloud Computing
✔ Learn Smart Manufacturing & Automation Strategies
✔ Gain Hands-on Experience with Industrial IoT & Digital Twin
✔ Improve Predictive Maintenance & Supply Chain Optimization
✔ Receive Industry 4.0 Certification from Global Skills Academy

📌 Who Should Attend?

✅ Engineers & Manufacturing Professionals
✅ IT & IoT Specialists in Industrial Automation
✅ Entrepreneurs & Industry Leaders
✅ Students & Researchers in Smart Manufacturing

Smart Homes

🏡 Smart Homes Training Course – 5 Days

📅 Duration: 5 Days

📍 Mode: Classroom / Online / Hybrid

🎯 Target Audience: Engineers, IT Professionals, Home Automation Enthusiasts, Real Estate Developers, Architects, and Students

📌 Course Overview

The Smart Homes Training Course provides a comprehensive understanding of Home Automation, IoT-enabled Smart Devices, AI-powered Assistants, Security Systems, and Energy Management. This course helps participants develop the skills required to design, implement, and manage smart home systems efficiently.

📅 Day-Wise Training Plan

📅 Day 1: Introduction to Smart Homes & Home Automation

🔹 What is a Smart Home? – Evolution of Home Automation
🔹 Key Technologies: IoT, AI, Voice Assistants, Smart Sensors
🔹 Smart Home Ecosystem & Communication Protocols (Zigbee, Z-Wave, Wi-Fi, Bluetooth, LoRaWAN)
🔹 Case Studies: Google Nest, Amazon Alexa, Apple HomeKit, Samsung SmartThings
🔹 Hands-on: Setting up a Basic Smart Home Network

📅 Day 2: IoT-Enabled Smart Home Devices & Control Systems

🔹 Types of Smart Home Devices – Smart Lights, Thermostats, Security Cameras, Smart Locks
🔹 Remote Control & Integration via Smartphone Apps & Voice Assistants
🔹 Interoperability between Smart Home Devices
🔹 Hands-on: Configuring & Controlling Smart Devices via IoT Platforms
🔹 Case Study: Automated Climate & Lighting Control in Modern Homes

📅 Day 3: AI & Machine Learning in Smart Homes

🔹 Role of Artificial Intelligence in Smart Home Automation
🔹 AI-powered Personal Assistants (Google Assistant, Alexa, Siri)
🔹 Predictive Analytics for Energy Efficiency & User Behavior Adaptation
🔹 Hands-on: Training AI for Personalized Home Automation
🔹 Case Study: AI-driven Personalized Smart Homes

📅 Day 4: Smart Home Security & Privacy

🔹 Cybersecurity Challenges in Smart Homes
🔹 Biometric Authentication & Secure Access Control Systems
🔹 Smart Cameras, Alarms, and Fire Detection Systems
🔹 Role of Blockchain & Encryption in Smart Home Security
🔹 Hands-on: Configuring Smart Security Systems

📅 Day 5: Future of Smart Homes & Sustainability

🔹 Sustainable Smart Homes & Green Technologies
🔹 Smart Water Management & Energy-Efficient Home Automation
🔹 Integration with Smart Cities & 5G Networks
🔹 Hands-on: Developing a Smart Home Model with IoT & AI
🔹 Final Assessment & Smart Home Certification

📜 Course Benefits & Outcomes

✔ Learn Smart Home Technologies – IoT, AI, Sensors, Security
✔ Develop Expertise in Home Automation Systems
✔ Gain Hands-on Experience with Smart Devices & AI Assistants
✔ Understand Smart Security & Privacy Challenges
✔ Receive Certification from Global Skills Academy

📌 Who Should Attend?

✅ Engineers & IT Professionals in IoT & AI
✅ Real Estate Developers & Architects
✅ Smart Home Enthusiasts & Homeowners
✅ Security & Automation Professionals

Smart Buildings

🏢 Smart Buildings Training Course – 7 Days

📅 Duration: 7 Days

📍 Mode: Classroom / Online / Hybrid

🎯 Target Audience: Engineers, Architects, Facility Managers, IT Professionals, Building Automation Experts, and Students

📌 Course Overview

The Smart Buildings Training Course provides in-depth knowledge of Building Automation Systems (BAS), IoT-enabled Infrastructure, AI-driven Energy Management, Security Systems, and Sustainable Smart Buildings. This course helps participants develop expertise in designing, implementing, and managing intelligent, energy-efficient buildings.

📅 Day-Wise Training Plan

📅 Day 1: Introduction to Smart Buildings & Technologies

🔹 What is a Smart Building? – Evolution & Importance
🔹 Key Technologies: IoT, AI, Cloud, Edge Computing, Digital Twins
🔹 Smart Building Communication Protocols: BACnet, Modbus, KNX, Zigbee, LoRaWAN
🔹 Case Study: Smart Offices & Commercial Buildings

📅 Day 2: Building Automation & Control Systems (BAS)

🔹 Overview of BAS Components & Architecture
🔹 HVAC Automation & Intelligent Climate Control
🔹 Smart Lighting & Adaptive Energy Management
🔹 Hands-on: Programming & Controlling BAS Components

📅 Day 3: IoT & AI in Smart Buildings

🔹 IoT-Enabled Sensors & Real-Time Monitoring
🔹 AI-powered Predictive Maintenance & Smart Analytics
🔹 Automated Facility Management & Digital Twins
🔹 Hands-on: Using AI for Smart Building Optimization

📅 Day 4: Security & Access Control in Smart Buildings

🔹 Smart Security Systems: Cameras, Alarms, Biometric Access
🔹 Cybersecurity for Smart Buildings – Data Privacy & Risks
🔹 Blockchain & Encrypted Access Management
🔹 Hands-on: Configuring a Smart Security System

📅 Day 5: Sustainable Smart Buildings & Green Technologies

🔹 Energy-Efficient Building Design & Renewable Energy Integration
🔹 Smart Water Management & Waste Reduction
🔹 LEED & BREEAM Certifications for Sustainable Buildings
🔹 Case Study: Net-Zero Energy Smart Buildings

📅 Day 6: Integration with Smart Cities & 5G Networks

🔹 Smart Building Role in Smart Cities
🔹 IoT & 5G Connectivity for Urban Infrastructure
🔹 Intelligent Transport Systems & Mobility Solutions
🔹 Hands-on: Connecting Smart Buildings to Smart City Ecosystem

📅 Day 7: Future of Smart Buildings & Final Project

🔹 Emerging Trends: Digital Twins, AI-driven Automation, Edge Computing
🔹 Smart Buildings & Industry 4.0 – Future Possibilities
🔹 Group Project: Designing a Smart Building Model
🔹 Certification & Final Assessment

📜 Course Benefits & Outcomes

✔ Master Smart Building Technologies – IoT, AI, Cloud, BAS
✔ Develop Skills in Building Automation & Security Systems
✔ Gain Hands-on Experience with Real-World Case Studies
✔ Understand Sustainability & Energy Efficiency in Smart Buildings
✔ Receive Certification from Global Skills Academy

📌 Who Should Attend?

✅ Engineers & IT Professionals in Smart Infrastructure
✅ Facility Managers & Building Automation Experts
✅ Real Estate Developers & Architects
✅ Smart City Planners & Urban Developers

Understanding Smart Health

🏥 Understanding Smart Health Training Course – 7 Days

📅 Duration: 7 Days

📍 Mode: Classroom / Online / Hybrid

🎯 Target Audience: Healthcare Professionals, IT Specialists, Biomedical Engineers, Data Scientists, Researchers, and Public Health Administrators

📌 Course Overview

The Smart Health Training Course explores how IoT, AI, Big Data, Cloud Computing, Blockchain, and Wearable Technologies are transforming healthcare. Participants will learn about smart hospitals, remote patient monitoring, AI-powered diagnostics, and telemedicine, gaining practical insights into the future of healthcare.

📅 Day-Wise Training Plan

📅 Day 1: Introduction to Smart Health Technologies

🔹 What is Smart Health? – Evolution & Importance
🔹 Key Technologies: AI, IoT, Blockchain, Cloud, Big Data
🔹 Smart Hospitals, Digital Healthcare & eHealth Systems
🔹 Case Study: AI-driven Diagnostics & Predictive Healthcare

📅 Day 2: IoT & Wearable Technologies in Healthcare

🔹 Role of IoT in Patient Monitoring & Chronic Disease Management
🔹 Wearable Devices – Smartwatches, Biosensors, Smart Clothing
🔹 Remote Patient Monitoring & Telemedicine Solutions
🔹 Hands-on: Exploring Data from Wearable Health Devices

📅 Day 3: AI & Big Data in Smart Healthcare

🔹 AI in Disease Prediction, Diagnostics & Personalized Medicine
🔹 Big Data Analytics in Healthcare – Electronic Health Records (EHRs)
🔹 Natural Language Processing (NLP) for Medical Applications
🔹 Hands-on: Using AI for Medical Image Analysis

📅 Day 4: Blockchain & Cybersecurity in Healthcare

🔹 Blockchain for Secure & Transparent Patient Records
🔹 Cybersecurity Threats & Data Protection in Digital Healthcare
🔹 Regulatory Compliance (HIPAA, GDPR) & Privacy Considerations
🔹 Hands-on: Implementing Blockchain for Patient Data Security

📅 Day 5: Smart Hospitals & Digital Healthcare Infrastructure

🔹 Smart Hospital Design – Automation & Robotics in Healthcare
🔹 Cloud Computing & Edge AI for Smart Health Systems
🔹 Interoperability & Digital Twins in Healthcare
🔹 Case Study: A Fully Automated Smart Hospital

📅 Day 6: Smart Health in Public Healthcare & Emergency Response

🔹 Telemedicine & mHealth for Rural & Remote Areas
🔹 AI-driven Healthcare Chatbots & Virtual Assistants
🔹 5G & Smart Health Infrastructure for Emergency Response
🔹 Hands-on: Telemedicine Setup & Remote Consultation Simulation

📅 Day 7: Future Trends & Final Project

🔹 Future of Smart Health – Genomics, VR, and Robotics
🔹 Smart Healthcare & Aging Population – Assisted Living Technologies
🔹 Healthcare 4.0 – Integrating Emerging Tech
🔹 Group Project: Proposing a Smart Health Solution
🔹 Certification & Final Assessment

📜 Course Benefits & Outcomes

✔ Master Smart Healthcare Technologies – IoT, AI, Blockchain, Big Data
✔ Understand the Role of Telemedicine & Wearable Health Devices
✔ Learn Cybersecurity & Data Protection in Digital Healthcare
✔ Develop Expertise in Smart Hospital & Remote Patient Monitoring
✔ Receive Certification from Global Skills Academy

📌 Who Should Attend?

✅ Doctors, Nurses, and Healthcare Administrators
✅ IT & Data Science Professionals in Healthcare
✅ Biomedical Engineers & Researchers
✅ Healthcare Policy Makers & Public Health Officials

Understanding Smart Governance

🏛️ Understanding Smart Governance Training Course – 5 Days

📅 Duration: 5 Days

📍 Mode: Classroom / Online / Hybrid

🎯 Target Audience: Government Officials, Policy Makers, IT Professionals, Urban Planners, Legal Experts, and Researchers

📌 Course Overview

The Smart Governance Training Course provides insights into how technology-driven governance enhances public administration, transparency, and citizen engagement. The course covers e-Government, digital policies, AI in governance, blockchain for public services, and smart city governance models.

📅 Day-Wise Training Plan

📅 Day 1: Introduction to Smart Governance

🔹 What is Smart Governance? – Definition & Key Components
🔹 Evolution of Digital Governance & Global Best Practices
🔹 E-Government & E-Governance Models
🔹 Case Study: Estonia’s E-Government System

📅 Day 2: Digital Transformation in Public Administration

🔹 AI & Big Data for Policy Decision-Making
🔹 Blockchain for Secure & Transparent Governance
🔹 Cybersecurity & Privacy Concerns in Smart Governance
🔹 Hands-on: Implementing AI for Data-Driven Public Services

📅 Day 3: Citizen Engagement & Smart Cities

🔹 Smart Cities & IoT for Public Service Delivery
🔹 Mobile Governance (m-Gov) & Digital Citizen Services
🔹 Open Data & Transparency in Governance
🔹 Case Study: How Singapore Uses AI for Citizen Engagement

📅 Day 4: Legal Framework & Public Policy for Smart Governance

🔹 Legal & Regulatory Challenges in Digital Governance
🔹 GDPR, Digital ID Systems, and Cyber Law in Governance
🔹 Ethical AI & Responsible Use of Digital Technologies
🔹 Panel Discussion: Challenges & Solutions for Smart Governance

📅 Day 5: Future Trends & Final Project

🔹 The Role of Emerging Technologies in Governance (5G, IoT, Cloud)
🔹 Smart Governance & Climate Change – AI for Sustainable Policies
🔹 Final Project Presentation: Designing a Smart Governance Framework
🔹 Certification & Final Assessment

📜 Course Benefits & Outcomes

✔ Understand Smart Governance Models & Global Best Practices
✔ Learn Digital Transformation in Public Administration
✔ Develop AI, Blockchain & Big Data Strategies for Governance
✔ Enhance Citizen Engagement with Smart City Technologies
✔ Receive Certification from Global Skills Academy

📌 Who Should Attend?

✅ Government Officials & Policy Makers
✅ IT & Cybersecurity Professionals in Public Sector
✅ Urban Planners & Smart City Experts
✅ Legal Experts & Researchers in Digital Governance

Intelligent Transportation

🚦 Intelligent Transportation Training Course – 10 Days

📅 Duration: 10 Days

📍 Mode: Classroom / Online / Hybrid

🎯 Target Audience: Transportation Engineers, Urban Planners, Smart City Developers, IT & AI Professionals, Government Officials, and Researchers

📌 Course Overview

The Intelligent Transportation Training Course provides insights into the latest smart mobility solutions that improve urban transportation efficiency, safety, and sustainability. The course covers AI-powered traffic management, IoT-enabled smart infrastructure, autonomous vehicles, connected vehicle technologies, and sustainable transport policies.

📅 Day-Wise Training Plan

📅 Day 1: Introduction to Intelligent Transportation Systems (ITS)

🔹 What is ITS? – Definition, Components & Importance
🔹 Evolution of Smart Transport & Global Best Practices
🔹 Technologies in ITS: AI, IoT, Cloud, and Big Data
🔹 Case Study: Smart Traffic Control in Singapore

📅 Day 2: IoT & AI in Traffic Management

🔹 Real-time Traffic Monitoring & AI-Powered Traffic Lights
🔹 IoT Sensors for Congestion Management & Road Safety
🔹 Data Analytics & Predictive Modeling for Traffic Flow
🔹 Hands-on: Implementing AI in Traffic Management Systems

📅 Day 3: Connected & Autonomous Vehicles (CAVs)

🔹 Autonomous Vehicles: Levels of Automation & Challenges
🔹 V2X Communication: Vehicle-to-Vehicle (V2V) & Vehicle-to-Infrastructure (V2I)
🔹 AI & Machine Learning in Self-Driving Cars
🔹 Case Study: Tesla & Waymo’s Approach to Autonomous Driving**

📅 Day 4: Smart Public Transportation Systems

🔹 Real-time GPS Tracking for Public Transport
🔹 Intelligent Bus & Metro Systems: Contactless Ticketing & Fleet Optimization
🔹 AI-Based Route Optimization & Demand-Responsive Transport
🔹 Case Study: London’s Smart Bus System

📅 Day 5: Sustainable Transportation & Green Mobility

🔹 Electric Vehicles (EVs) & Charging Infrastructure
🔹 Bicycle & Pedestrian-Friendly Smart Cities
🔹 Reducing Carbon Footprint with Intelligent Mobility Solutions
🔹 Discussion: Policy Strategies for Sustainable Transport**

📅 Day 6: Smart Parking & Road Infrastructure Management

🔹 IoT-Based Smart Parking Systems
🔹 Automated Toll Collection & Electronic Road Pricing (ERP)
🔹 AI for Predictive Road Maintenance & Safety
🔹 Case Study: Smart Parking in San Francisco

📅 Day 7: ITS Security & Cyber Threats in Transportation

🔹 Cybersecurity Challenges in Smart Mobility
🔹 Protecting V2X Communications from Hacking & Cyber Attacks
🔹 Blockchain for Secure Transportation Data Management
🔹 Panel Discussion: Ensuring Data Privacy in ITS**

📅 Day 8: Smart Aviation & Maritime Transport

🔹 AI & IoT in Airport Operations & Air Traffic Control
🔹 Autonomous Drones for Last-Mile Delivery & Surveillance
🔹 Smart Ports & Automated Shipping Logistics
🔹 Case Study: Rotterdam Port’s Smart Infrastructure

📅 Day 9: Policy Framework & Regulations for ITS

🔹 Government Policies for Smart Mobility & ITS Adoption
🔹 ITS Standards & Compliance (ISO 37122, IEEE, SAE J2735)
🔹 Ethical & Legal Considerations for AI in Transportation
🔹 Discussion: Challenges in ITS Implementation in Developing Countries**

📅 Day 10: Future of Intelligent Transportation & Final Project

🔹 Next-Generation Mobility: Hyperloop, Flying Cars & AI-Powered Transport
🔹 Integrating 5G & Edge Computing for Future Mobility
🔹 Final Project: Proposing an ITS Model for a Smart City
🔹 Certification & Final Assessment

📜 Course Benefits & Outcomes

✔ Master the Latest Technologies in Smart Transportation
✔ Develop AI & IoT-Based Traffic Management Solutions
✔ Learn Sustainable & Green Mobility Strategies
✔ Understand Cybersecurity in Intelligent Transport Systems
✔ Receive Certification from Global Skills Academy

📌 Who Should Attend?

✅ Transportation Engineers & Smart City Planners
✅ AI & IoT Professionals in Urban Mobility
✅ Government Officials & Public Transport Authorities
✅ Researchers & Academics in Transportation Technology

Job Roles & Salary Expectations in the Telecom Sector

The telecom sector offers diverse career opportunities across network operations, engineering, project management, sales, and emerging technologies like 5G, AI, and IoT. Below are some key job roles along with salary expectations.

🔹 Core Telecom Engineering & Network Roles

1️⃣ Telecom Network Engineer

Role: Manages and maintains telecom networks, including mobile, fiber optics, and IP networks.
Salary: ₹4 – 10 LPA (India) | $50,000 – $120,000 (Global)

2️⃣ RF (Radio Frequency) Engineer

Role: Designs and optimizes mobile networks (2G/3G/4G/5G) for operators.
Salary: ₹5 – 12 LPA (India) | $55,000 – $130,000 (Global)

3️⃣ Core Network Engineer (IP, MPLS, SDH, DWDM, OTN)

Role: Works on core transmission and IP networks for telecom operators.
Salary: ₹6 – 15 LPA (India) | $60,000 – $140,000 (Global)

4️⃣ VoIP & IMS Engineer

Role: Manages voice networks, including VoIP, SIP, and IMS-based calling solutions.
Salary: ₹5 – 12 LPA (India) | $50,000 – $120,000 (Global)

🔹 Emerging Technologies & Advanced Telecom Roles

5️⃣ 5G Network Engineer

Role: Implements and optimizes 5G networks, including Open RAN & private 5G.
Salary: ₹8 – 18 LPA (India) | $70,000 – $150,000 (Global)

6️⃣ IoT & Smart Network Engineer

Role: Works on IoT-based telecom applications, connected devices, and automation.
Salary: ₹7 – 15 LPA (India) | $65,000 – $140,000 (Global)

7️⃣ Cloud & Virtualization Engineer (NFV, SDN)

Role: Designs cloud-based telecom infrastructure (NFV, SDN, OpenStack).
Salary: ₹8 – 20 LPA (India) | $75,000 – $160,000 (Global)

🔹 Management & Operations Roles in Telecom

8️⃣ Telecom Project Manager

Role: Leads network rollouts, telecom expansion, and vendor coordination.
Salary: ₹10 – 25 LPA (India) | $80,000 – $180,000 (Global)

9️⃣ Telecom Business Analyst

Role: Analyzes market trends, customer data, and business strategies.
Salary: ₹8 – 18 LPA (India) | $70,000 – $140,000 (Global)

🔟 Telecom Sales & Pre-Sales Engineer

Role: Works with vendors/operators to provide network solutions.
Salary: ₹6 – 15 LPA (India) | $60,000 – $130,000 (Global)

🔹 Opportunities with Telecom Operators & Vendors

Major Hiring Companies

🔹 Telecom Operators: Airtel, Jio, Vodafone Idea, BSNL, AT&T, Verizon, T-Mobile, Deutsche Telekom.
🔹 Telecom Vendors: Nokia, Ericsson, Huawei, Cisco, Juniper, Ciena, ZTE.
🔹 IT & Cloud Companies: Google Cloud, AWS, Microsoft Azure (for telecom cloud solutions).

JOIN US TODAY ….

Benefits of Joining Telecom Training Courses at Global Skills Academy, Delhi, India

1️⃣ Comprehensive Curriculum – Covers 2G, 3G, 4G, 5G, IoT, Optical Networks, MPLS, SDH, SONET, WDM, and more.

2️⃣ Industry-Expert Trainers – Learn from experienced telecom professionals with real-world expertise.

3️⃣ Hands-on Practical Labs – Gain hands-on experience with networking tools, simulation software, and real-world case studies.

4️⃣ Latest Telecom Technologies – Stay updated on 5G, IoT, AI in telecom, network virtualization, and cloud-based telecom infrastructure.

5️⃣ Certification & Career Boost – Get a recognized certification to enhance your resume and job prospects.

6️⃣ Placement Assistance – Access job opportunities with telecom companies, networking firms, and IT service providers.

7️⃣ Flexible Learning Modes – Choose between classroom training, online learning, or hybrid options.

8️⃣ Live Projects & Case Studies – Work on real-time telecom projects, network deployments, and optimization techniques.

9️⃣ Internship & Industry Exposure – Opportunities for hands-on training with telecom service providers and vendors.

🔟 Global Career Opportunities – Open doors to international telecom jobs in networking, mobile operators, ISPs, and IT companies.

Placement Assistance at Global Skills Academy, Delhi, India

🔹 Placement Support Highlights

✅ Recruitment by Major Telecom Vendors – Opportunities with Ericsson, Nokia, Huawei, Cisco, Juniper, ZTE, Ciena, and others.
✅ Hiring by Telecom Operators – Job placements in Airtel, Jio, Vodafone Idea, BSNL, MTNL, Tata Communications, and other global operators.
✅ Career Guidance & Resume Building – Personalized support for resume writing, interview preparation, and LinkedIn profile optimization.
✅ Mock Interviews & Technical Assessments – Simulated interview sessions and technical tests to prepare for job interviews.
✅ Internship & On-the-Job Training – Hands-on experience with live projects and telecom infrastructure.
✅ Global Career Opportunities – Openings in international telecom markets across Europe, the Middle East, North America, and Asia.
✅ 100% Placement Assistance – Dedicated support in connecting students with hiring companies.