Specialist Diploma in Cloud Security & IOT Cloud Services

About the Course

The objective of this programme is to develop specialists with the know-how and expertise to architect, implement Cloud Security and IOT solutions to address the emerging and rising demand for such expertise in the industry.

The programme is designed for

network and systems engineers who are new to Cloud Security and IOT but wishes to reskill with knowledge in these emerging technologies
ICT professionals and practitioners with enterprise infrastructure experience looking to upskill with Cloud Security and IOT technologies

What You'll Study

Post-Diploma Certificate in Enterprise and Cloud Security

The focus is to equip learners with the skills and knowledge to design and implement virtualized and secure on-premises, cloud and network infrastructure with embedded security principles and secure designs to mitigate risk exposure.
The PDC is aligned to SSG’s Skills Framework and provides comprehensive coverage on the knowledge and skills sought after in the Infrastructure and Cybersecurity sectors.
Upon completion of the proposed PDC1, learners will be equipped to take the (ISC)²’s Certified Cloud Security Professional (CCSP) and CompTIA’s Security+ certifications.

Module 1: Network Technology and Security (30 hours)

Network Technology and Security involves the network infrastructure design and the security access control. Learners will be equipped with the knowledge of LAN/WAN infrastructure design considerations, types of security attacks, cryptography concepts, risk management and disaster recovery strategies. They will be able to design and implement system/network infrastructure with access controls, security policies and appropriate defense countermeasures.

Module 2: Cybersecurity for Enterprise IT and OT Systems (45 hours)

Enterprises are moving to use information technology (IT) in their operational technology (OT) environments to remain competitive. Learners will be equipped with the knowledge in essential components and technologies used in IT and OT systems such as encryption techniques, identity access management and security incident management. They will be able to implement critical IT security controls such as firewalls, IDS/IPS systems and server security in an OT system which includes Industrial Control Systems (ICS).

Module 3: IT Infrastructure Virtualization and Cloud Security (45 hours)

IT Infrastructure is rapidly being virtualized to provide agility and scalability using cloud resources. Learners will be equipped with the knowledge of compute and network virtualization based on different cloud reference architecture and the relevant operational processes. They will be able to create virtual machines and virtual network appliances based on popular compute virtualization technologies. They will also be able to secure cloud-based infrastructure including performing risk and compliance management.

Module 4: Cybersecurity Project (30 hours)

Implementing cybersecurity controls with risk management strategies is critical in managing industry cybersecurity. In this project module, learners will develop project implementation skills in cybersecurity. They will be required to define the desired outcomes of a cybersecurity project and implement security features to defend the infrastructure against cyber-attacks. Their knowledge and skills in cybersecurity will be enhanced through real-life scenarios in project implementations.

Post-Diploma Certificate in IOT with Cloud Services

The focus is to equip learners with the skills and knowledge to design and implement IOT systems integrated to cloud services using cloud APIs. The cloud services will include AI, data visualization, data analytics and storage. Learners will also be introduced to Blockchain concepts.
The PDC is aligned to SSG’s Skills Framework and provides comprehensive coverage on the knowledge and skills sought after in the Software & Applications (IOT and Embedded systems) sectors.

Module 1: IOT Systems and Security (30 hours)

IOT systems are typically deployed in various smart systems to provide sensing, actuation and control functions. Learners will be equipped with the knowledge of Internet of things (IOT) technologies, hardware architecture of various IOT platforms and security considerations for Industrial IOT (IIOT) implementations. They will be able to implement IOT systems using IOT controllers, endpoint devices and sensors integrated with networking and cloud computing technologies.

Module 2: Applied AI and Blockchain for IOT (45 hours)

IOT solutions control and/or collect data from physically distributed objects. Blockchain allows decentralizing the three key elements of AI (data, models, analytics) to deliver the trust and confidence needed for users to fully adopt AI-based IOT solutions. Learners will be equipped with the key concepts of AI (ML, CNN, RNN, NLP) and Blockchain used in IOT solutions. They will be able to construct, train and test different RNN architectures for various NLP tasks. They will also be able to implement Blockchain using Python, creating the Ethereum network to deploy smart contracts and build AI applications using easy-to-use cloud-based APIs.

Module 3: IOT Cloud Applications with Data Analytics

Many IOT applications involves the use of cloud services for deployment, data collation and analysis. Learners will be equipped with the knowledge in emerging IOT communication technologies and protocols. They will be able to implement IOT applications using wireless personal area network (WPAN) technologies and application communication protocols such as MQTT. The focus will be on using application program interfaces (APIs) to connect to cloud based IOT services for data collection, presentation and analysis. Learners will also be able to collate distributed sensor data into on-prem/cloud databases, monitor IOT devices remotely using RESTful web services, and receive smart notifications through mobile applications.

Module 4: IOT Project (30 hours)

Harnessing technological advancements in IOT is critical in accelerating digital transformations. In this project module, learners will develop project implementation skills in IOT. They will be required to define the desired outcomes of a cloud-based IOT application/system project and to implement features using cloud APIs with data analytics services. Their IOT domain knowledge and technical skills will be enhanced through real-life scenarios in project implementations.

Specialist Diploma in Cloud Security & IOT Cloud Services

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Specialist Diploma in Cloud Security & IOT Cloud Services

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