| Sl.No | Chapter Name | MP4 Download |
|---|---|---|
| 1 | Lecture 1 Introduction to Edge Computing 23 12 2022 V1 | Download |
| 2 | Lecture 2 Introduction to Cloud 23 12 2022 V2 | Download |
| 3 | Lecture 3 Introduction to IoT Platform 24 12 2022 V1 | Download |
| 4 | Lecture 4 Time and Clock Synchronization in IoT 24 12 2022 V2 | Download |
| 5 | Lecture 5 | Download |
| 6 | Lecture 6 | Download |
| 7 | Lecture 7 Introduction to Docker Containers and Kubernetes 26 12 2022 V2 | Download |
| 8 | Lecture 8 ML based Predictive Maintenance at IoT Edge 28 12 2022 V1 | Download |
| 9 | Lecture 9: Deep Reinforcement Learning for Cloud Edge | Download |
| 10 | Lecture 10 Deep Reinforcement Learning for Cloud Edge Example | Download |
| 11 | Lecture 11 Public Cloud Services Case Study of AWS Services | Download |
| 12 | Lecture 12: Mathematical formulations for task offloading in Edge Cloud | Download |
| 13 | Lecture 13: Task Offloading Based on LSTM Prediction and Deep Reinforcement Learning | Download |
| 14 | Lecture 14: Vertical and Horizontal Offloading for Cloud Edge | Download |
| 15 | Lecture 15: Global State and Snapshot Recording Algorithms | Download |
| 16 | Lecture 16: Hot Data Analytics for Real Time Streaming in IoT Platform | Download |
| 17 | Lecture 17: Introduction to MQTT and Kafka in IoT Platform | Download |
| 18 | Lecture 18: Introduction to Edge Data Center for IoT Platform | Download |
| 19 | Lecture 19: Design of Key Value Stores for IoT Edge Storage | Download |
| 20 | Lecture 20: Introduction to Edge ML with AWS IoT platform | Download |
| 21 | Lecture 21: Introduction to Federated Learning at IoT Edge | Download |
| 22 | Lecture 22: ML for Autonomous Driving Car | Download |
| Sl.No | Chapter Name | English |
|---|---|---|
| 1 | Lecture 1 Introduction to Edge Computing 23 12 2022 V1 | PDF unavailable |
| 2 | Lecture 2 Introduction to Cloud 23 12 2022 V2 | PDF unavailable |
| 3 | Lecture 3 Introduction to IoT Platform 24 12 2022 V1 | PDF unavailable |
| 4 | Lecture 4 Time and Clock Synchronization in IoT 24 12 2022 V2 | PDF unavailable |
| 5 | Lecture 5 | PDF unavailable |
| 6 | Lecture 6 | PDF unavailable |
| 7 | Lecture 7 Introduction to Docker Containers and Kubernetes 26 12 2022 V2 | PDF unavailable |
| 8 | Lecture 8 ML based Predictive Maintenance at IoT Edge 28 12 2022 V1 | PDF unavailable |
| 9 | Lecture 9: Deep Reinforcement Learning for Cloud Edge | PDF unavailable |
| 10 | Lecture 10 Deep Reinforcement Learning for Cloud Edge Example | PDF unavailable |
| 11 | Lecture 11 Public Cloud Services Case Study of AWS Services | PDF unavailable |
| 12 | Lecture 12: Mathematical formulations for task offloading in Edge Cloud | PDF unavailable |
| 13 | Lecture 13: Task Offloading Based on LSTM Prediction and Deep Reinforcement Learning | PDF unavailable |
| 14 | Lecture 14: Vertical and Horizontal Offloading for Cloud Edge | PDF unavailable |
| 15 | Lecture 15: Global State and Snapshot Recording Algorithms | PDF unavailable |
| 16 | Lecture 16: Hot Data Analytics for Real Time Streaming in IoT Platform | PDF unavailable |
| 17 | Lecture 17: Introduction to MQTT and Kafka in IoT Platform | PDF unavailable |
| 18 | Lecture 18: Introduction to Edge Data Center for IoT Platform | PDF unavailable |
| 19 | Lecture 19: Design of Key Value Stores for IoT Edge Storage | PDF unavailable |
| 20 | Lecture 20: Introduction to Edge ML with AWS IoT platform | PDF unavailable |
| 21 | Lecture 21: Introduction to Federated Learning at IoT Edge | PDF unavailable |
| 22 | Lecture 22: ML for Autonomous Driving Car | PDF unavailable |
| Sl.No | Language | Book link |
|---|---|---|
| 1 | English | Not Available |
| 2 | Bengali | Not Available |
| 3 | Gujarati | Not Available |
| 4 | Hindi | Not Available |
| 5 | Kannada | Not Available |
| 6 | Malayalam | Not Available |
| 7 | Marathi | Not Available |
| 8 | Tamil | Not Available |
| 9 | Telugu | Not Available |