Edge Computing and IoT
Accredited by Averest
350 Learners
INTERMEDIATE
The convergence of Edge Computing and IoT (Internet of Things) is transforming how data is processed, analyzed, and acted upon in real-time. By moving computation closer to the edge (near the IoT devices), organizations can reduce latency, enhance security, and improve decision-making efficiency. This 5-day Edge Computing and IoT training program offers participants a comprehensive understanding of the architecture, technologies, and use cases of edge computing in IoT environments. Through hands-on exercises, participants will learn how to design, deploy, and manage edge computing solutions for real-world IoT applications.
Accreditation With .
Edge Computing and IoT Overview
In essence, this training program will empower participants to become proficient in leveraging edge computing to enhance the efficiency, responsiveness, and reliability of IoT systems.
What You Will Learn ?
- Understand the fundamental concepts of edge computing and its role in optimizing IoT systems.
- Learn how to design and deploy edge computing architectures that enable real-time data processing and reduce cloud dependency.
- Gain hands-on experience with edge devices, gateways, and platforms that support edge computing.
- Explore real-world use cases of edge computing in industries such as manufacturing, healthcare, and smart cities.
- Understand the security, scalability, and performance challenges of edge computing and how to address them.
Course Key Features
- Comprehensive Coverage
- Hands-on Learning
- Expert Instructors
- Industry-Relevant Content
- Flexible Learning Options
Training Options
In Class
- 5-days in-class training
- Pre-course consultation
- Highly experienced instructor(s)
- Post-course follow-up
- All related Averest's quality control tools & required stationary
- 5 or 4 stars training venue
- Pay later by invoice -OR- at the time of checkout by credit card
- Continuous learner assistance and support
Online
- 5-days instructor-led training
- Pre-course consultation
- Highly experienced instructor(s)
- Post-course follow-up
- Pay later by invoice -OR- at the time of checkout by credit card
- Continuous learner assistance and support
Corporate Training
- A highly customized Corporate Training service designed exclusively for corporate employees and teams. Our training programs are meticulously planned and executed to fill knowledge and experience gaps, helping organizations achieve their business goals. With a comprehensive assessment and tailored curriculum, our experienced trainers deliver modules in areas of accreditation requirements as well as complementary practices such as leadership, communication, and technology adoption. Official certification exam voucher is provided upon completion, ensuring professional growth and measurable results. Contact us now to partner with Averest Training in order to bridge the gaps in your workforce and unlock the full potential of your team.
Schedules
Filters:
2025-Jun
09 - 13
Online
5 Days,
09:00 - 13:00,UTC +03:00,
$ 3500.00
$ 4000.00
2025-Jun
23 - 27
Istanbul, TR Istanbul, Turkey
5 Days,
09:00 - 13:00,UTC +03:00,
$ 4950.00
$ 5200.00
2025-Jul
07 - 11
Online
5 Days,
09:00 - 13:00,UTC +03:00,
$ 3500.00
$ 4000.00
2025-Jul
14 - 18
London, GB London, United Kingdom
5 Days,
09:00 - 13:00,UTC +03:00,
$ 4950.00
$ 5200.00
2025-Aug
04 - 08
Online
5 Days,
09:00 - 13:00,UTC +03:00,
$ 3500.00
$ 4000.00
2025-Aug
11 - 15
Istanbul, TR Istanbul, Turkey
5 Days,
09:00 - 13:00,UTC +03:00,
$ 4950.00
$ 5200.00
2025-Sep
01 - 05
London, GB London, United Kingdom
5 Days,
09:00 - 13:00,UTC +03:00,
$ 4950.00
$ 5200.00
2025-Sep
08 - 12
Online
5 Days,
09:00 - 13:00,UTC +03:00,
$ 3500.00
$ 4000.00
2025-Oct
06 - 10
Istanbul, TR Istanbul, Turkey
5 Days,
09:00 - 13:00,UTC +03:00,
$ 4950.00
$ 5200.00
2025-Oct
13 - 17
Online
5 Days,
09:00 - 13:00,UTC +03:00,
$ 3500.00
$ 4000.00
2025-Nov
10 - 14
Online
5 Days,
09:00 - 13:00,UTC +03:00,
$ 3500.00
$ 4000.00
2025-Nov
17 - 21
London, GB London, United Kingdom
5 Days,
09:00 - 13:00,UTC +03:00,
$ 4950.00
$ 5200.00
2025-Dec
08 - 12
Online
5 Days,
09:00 - 13:00,UTC +03:00,
$ 3500.00
$ 4000.00
2025-Dec
15 - 19
Istanbul, TR Istanbul, Turkey
5 Days,
09:00 - 13:00,UTC +03:00,
$ 4950.00
$ 5200.00
Edge Computing and IoT Training Cirriculum
Eligibility .
This course is designed for IoT Developers and Engineers, IT and Network Administrators, Business Leaders and Entrepreneurs, Operations Managers and Tech Enthusiasts.
Pre-requisites .
To fully benefit from the Edge Computing and IoT training program, participants should have a solid foundation in Programming, Networking, Operating Systems and Cloud Computing.
Edge Computing and IoT Course Content .
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Module 1 Introduction to Edge Computing and IoT.- What is edge computing? Overview of edge vs. cloud computing in IoT environments.
- Benefits of edge computing: Reducing latency, improving bandwidth efficiency, enhancing data privacy, and enabling real-time processing.
- Key components of edge architecture: Edge devices, gateways, cloud servers, and edge analytics.
- The role of edge computing in IoT: Optimizing resource utilization, lowering cloud dependency, and enhancing decision-making at the edge.
- Real-world applications of edge computing in IoT: Smart cities, autonomous vehicles, industrial automation, and healthcare.
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Module 2 Edge Devices, Gateways, and Connectivity in IoT.- IoT devices at the edge: Sensors, microcontrollers, and edge computing hardware.
- Gateways in edge computing: Aggregating, preprocessing, and filtering data at the network edge.
- Communication protocols for edge and IoT: MQTT, CoAP, LoRa, and 5G for high-speed, low-latency connectivity.
- Edge data processing: Techniques for local data storage, analysis, and decision-making at the edge.
- Edge-to-cloud connectivity: Establishing secure data pipelines between edge devices and the cloud.
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Module 3 Edge Computing Platforms and Software Frameworks.- Popular edge computing platforms: AWS IoT Greengrass, Microsoft Azure IoT Edge, Google Cloud IoT Edge.
- Edge analytics and machine learning: Deploying AI and ML models on edge devices to enable predictive maintenance and anomaly detection.
- Open-source frameworks for edge computing: EdgeX Foundry, KubeEdge, and Eclipse ioFog.
- Edge computing for industrial IoT (IIoT): Enabling smart manufacturing and real-time production monitoring.
- Building scalable and efficient edge computing architectures for real-world applications.
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Module 4 Real-Time IoT Applications with Edge Computing.- Real-time data processing at the edge: Ensuring low-latency responses for critical IoT applications (e.g., autonomous vehicles, robotics, and industrial automation).
- Use cases for edge computing in smart cities: Traffic management, public safety, and waste management.
- Edge computing in healthcare: Remote patient monitoring, wearable devices, and medical imaging analysis at the edge.
- Industrial IoT and edge computing: Enabling predictive maintenance, smart manufacturing, and operational efficiency in factories.
- The role of edge computing in 5G networks: Leveraging high-speed connectivity for real-time IoT applications.
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Module 5 Security, Scalability, and Future Trends in Edge Computing and IoT.- Security challenges in edge computing: Securing edge devices, data encryption, and communication between edge and cloud systems.
- Best practices for securing IoT edge networks: Identity management, device authentication, and intrusion detection.
- Scalability challenges: Managing large-scale IoT deployments with distributed edge devices.
- Energy efficiency and resource management: Optimizing power consumption and computational resources at the edge.
- Future trends in edge computing: AI at the edge, federated learning, and next-gen edge devices for 5G networks.
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