Cloud & Edge Computing - IoT & ML

📌 Online Self-Paced Course: Cloud & Edge Computing - IoT & ML

📖 About This Course

This self-paced course provides a comprehensive understanding of Cloud & Edge Computing, IoT architecture, and Machine Learning applications in real-world scenarios. Learn how to build low-latency, high-performance IoT solutions leveraging cloud platforms, edge computing, and AI-driven automation.

🎯 Course Overview

✔ Explore Cloud & Edge Computing fundamentals and their impact on IoT applications.

✔ Learn IoT architecture, protocols, and real-time data processing techniques.

✔ Gain hands-on experience with Docker, Kubernetes, MQTT, and Kafka in IoT pipelines.

✔ Implement ML-driven IoT solutions such as predictive maintenance and computer vision models.

✔ Build end-to-end IoT systems using Azure IoT Hub, AWS IoT Core, and Google Cloud IoT.

📚 Course Curriculum / Modules

📌 Week 1: Introduction to Cloud & Its Limitations for Low Latency Use Cases

📌 Week 2: Edge Computing for IoT Applications (Self-Driving Cars, Smart Cities)

📌 Week 3: IoT Edge Platforms (Azure IoT Hub, AWS IoT Core, Google Cloud IoT)

📌 Week 4: Docker Containers & Kubernetes in Edge Computing

📌 Week 5: Distributed Systems in IoT (Clock Synchronization, Event Ordering)

📌 Week 6: IoT Storage & Key-Value Stores for Edge Computing

📌 Week 7: IoT Data Pipeline with MQTT & Kafka

📌 Week 8: Machine Learning Applications for IoT (Predictive Maintenance, Image Recognition)

💡 What You Will Learn

✔ The difference between Cloud, Fog, and Edge Computing

✔ How to build scalable and efficient IoT systems

✔ Deploy Docker containers and Kubernetes clusters for Edge AI

✔ Process real-time IoT data with MQTT, Kafka, and distributed storage systems

✔ Implement Machine Learning models for IoT automation

🎯 Learning Objectives

🔹 Understand the role of Edge Computing in IoT and low-latency applications

🔹 Learn how cloud platforms support IoT with AWS, Azure, and Google Cloud

🔹 Develop secure and scalable IoT communication networks

🔹 Work with ML models to analyze IoT data for predictive insights

🔹 Build real-time event-driven IoT applications

🚀 Course Features & Benefits

✔ 100% Online & Self-Paced – Learn anytime, anywhere

✔ Expert-Led Video Lectures from Swayam Portal & Open Education Resources

✔ Hands-on Projects with real-world IoT & ML use cases

✔ Industry-Relevant Curriculum aligned with the latest tech trends

✔ Lifetime Access to Learning Materials

✔ Quizzes & Assignments to reinforce learning

👨‍🎓 Who This Course is For?

✔ Students & Fresh Graduates interested in IoT, AI, and Cloud Computing

✔ Software & Hardware Engineers looking to build IoT solutions

✔ IT & Cloud Professionals who want to master Edge Computing

✔ Tech Entrepreneurs & Innovators exploring IoT-based business models

✔ Anyone passionate about IoT, ML, and Cloud Technologies

💼 Skills Covered

🔹 Cloud & Edge Computing principles

🔹 IoT protocols & architecture

🔹 Docker & Kubernetes for Edge deployment

🔹 MQTT, Kafka & real-time data streaming

🔹 Machine Learning applications for IoT

🎁 Complimentary Benefits for Students Enrolling Now

✔ Exclusive Access to additional IoT & AI learning resources

✔ Industry Case Studies & Live Demos

✔ One-on-One Mentorship Sessions

✔ Resume & Job Interview Guidance for IoT & Cloud Roles

🏆 Course Certificate Advantage

✔ Earn a globally recognized certification in Cloud & Edge Computing for IoT & ML

✔ Showcase your skills on LinkedIn & professional portfolios

✔ Gain an edge in job applications & career advancement

👨‍🏫 Instructor Bio

Our instructors are industry experts and researchers in Cloud Computing, IoT, and AI with years of experience in building and deploying IoT solutions at scale.

📖 Books & References

📌 "Mastering Cloud Computing" – Rajkumar Buyya

📌 "IoT Fundamentals: Networking Technologies, Protocols, and Use Cases" – David Hanes

📌 "Edge AI: Machine Learning for Embedded Systems" – Xiaofei Wang

🏢 Top Indian Companies Hiring for These Skills

✔ TCS, Infosys, Wipro, Cognizant (Cloud & IoT Engineers)

✔ Reliance Jio, Airtel, Bosch, Siemens (Edge Computing & IoT Experts)

✔ Google, Microsoft, Amazon (AI & ML for IoT Solutions)

✔ Tata Elxsi, L&T, HCL Technologies (Industrial IoT & Smart Manufacturing)

📢 Video Source Disclaimer

This course includes expert video lectures from Swayam Portal and other open education resources for authentic learning and high-quality instruction.

This course is designed to help you master Cloud & Edge Computing for IoT & ML applications and boost your career. 🚀 Enroll now and start learning today!