Explore Catalogue

The Advanced 5G NR (New Radio) Technologies course equips professionals with a deep understanding of 5G architecture, innovations, and real-world applications. Learners will explore key components like OFDM waveforms, frequency bands, and carrier aggregation, along with advanced technologies such as beamforming, massive MIMO, and network slicing. The course also covers seamless 5G-LTE integration, essential for telecom professionals managing multi-generation networks.

Through instructional videos, case studies, and readings, participants will gain the skills to design and implement advanced 5G solutions. Targeting network engineers, IT professionals, and business analysts, this course prepares learners to optimize network performance and drive innovations in Industry 4.0, URLLC, and IoT, positioning them as leaders in next-gen wireless technology.

This course provides insights into containers, Kubernetes and Docker: vendor-agnostic cluster and container management tools, and platforms for automating deployment, scaling, and operations of application containers across clusters of hosts. Today, containers are recognized as a key enabler of digital transformation, and they are positioned to be essential to the new computing paradigm that brings cloud computing, DevOps culture and business innovation together. From this course, participants get a clear understanding of this new trend while having an introduction to Docker (the leading container technology) and Kubernetes (an open source container orchestrator system, created by Google).

In the age of 5G, the digital landscape has transformed dramatically. Every device, from smartphones to critical infrastructure, is becoming increasingly interconnected. This interconnectedness, while revolutionizing our lives, also introduces new and complex security challenges. This course is an exploration into the advanced security measures required to protect 5G networks and the sensitive data they carry. You will explore a wide range of topics and emerging security trends. By the end of this course, you will have the expertise to safeguard 5G networks and contribute to a more secure digital future. 

As we conclude this journey into the fascinating world of 5G Advanced Network Security, you’ll emerge equipped with the knowledge and skills to tackle the unique challenges of this cutting-edge technology. From understanding the intricacies of 5G architecture to mastering advanced security protocols and real-time threat mitigation, you are now prepared to safeguard the future of our hyper-connected world. 

As we move forward, it is essential to remain vigilant and adaptable. The threat landscape is constantly evolving, and new challenges will undoubtedly arise. By staying informed about the latest security trends and technologies, we can continue to contribute to a more secure and resilient digital world. 

5G Network Slicing is transforming the telecommunications industry by enabling customized, isolated, and highly efficient network segments tailored to specific use cases. 5G Network Slicing: Total Overview is designed to provide a comprehensive understanding of this groundbreaking technology, covering its definition, architecture, orchestration, security, and monetization strategies. Through engaging video lessons, real-world case studies, and informative readings, learners will explore how slicing optimizes network performance for diverse applications, from autonomous vehicles to smart cities. This course combines technical depth with commercial insights, making it a valuable resource for 5G engineers and business analysts alike.

By the end of the course, participants will have the skills to design, implement, and manage network slicing solutions, ensuring reliable service delivery while maximizing business potential. Key concepts such as NSI, NSSI, S-NSSAI, NSSF, and NSSAAF will be demystified, along with insights into lifecycle management, orchestration, and security. Additionally, learners will gain practical knowledge on how leading telecom providers are commercializing slicing for new revenue streams. Whether you're a network engineer, RAN specialist, or business analyst, this course will equip you with the expertise to leverage 5G network slicing for future-ready solution.

The Angular framework is a re-write of popular framework AngularJS (and rename of Angular 1 and 2). This course covers the important differences for your HTML and CSS approach; introduces various requirements and testing strategies; explains refactoring expectations for your early technology architecture; shows how and why the newest version of Angular performs better than AngularJS; and discusses how Angular is now simpler to write and read, and easier to learn. Angular is a platform and framework for building single-page client applications using HTML and TypeScript. Angular is written in TypeScript. It implements core and optional functionality as a set of TypeScript libraries that you import into your apps. The architecture of an Angular application relies on certain fundamental concepts. The basic building blocks of Angular are NgModules, which provide a compilation context for components. NgModules collect related code into functional sets; an Angular app is defined by a set of NgModules. An app always has at least a root module that enables bootstrapping, and typically has many more feature modules.

• Components define views, which are sets of screen elements that Angular can choose among and modify according to your program logic and data.
• Components use services, which provide specific functionality not directly related to views. Service providers can be injected into components as dependencies, making your code modular, reusable, and efficient.

Modules, components and services are classes that use decorators. These decorators mark their type and provide metadata that tells Angular how to use them.

• The metadata for a component class associates it with a template that defines a view. A template combines ordinary HTML with Angular directives and binding markup that allow Angular to modify the HTML before rendering it for display.
• The metadata for a service class provides the information Angular needs to make it available to components through dependency injection (DI).

An app's components typically define many views, arranged hierarchically. Angular provides the Router service to help you define navigation paths among views. The router provides sophisticated in-browser navigational capabilities.

The cybersecurity landscape is experiencing a fundamental transformation. With cyber threats growing exponentially in volume and sophistication, traditional manual security approaches are no longer sufficient. Organizations are drowning in security alerts, struggling to identify real threats among false positives, and failing to respond quickly enough to prevent breaches. The solution isn't just more human analysis - it's intelligent automation through AI agents. 

AI agents represent the next evolution in cybersecurity defense. Unlike those static AI tools that merely process data in a mechanical fashion, these autonomous systems possess the capacity to perceive their environment, engage in genuine reasoning, and take decisive action in real-time, making them invaluable allies in the fight against modern cyber threats. They synthesize the tremendous computational power of Large Language Models with the capability to interact within security ecosystems, creating a new paradigm for what we might call proactive defensive strategies. 

This comprehensive educational program will guide you through a transformative journey, beginning with the fundamental philosophical and technical underpinnings of AI agents and progressing toward their firm implementation within Security Operations Centers. You'll discover how these intelligent systems are revolutionizing threat detection, automating vulnerability analysis, streamlining incident response, and enabling proactive threat hunting. Perhaps most significantly, you'll develop a deep understanding of the critical security considerations and profound ethical implications that arise when deploying autonomous AI systems in high-stakes cybersecurity environments - because responsibility matters, tremendously. 

It doesn’t matter who you're a security analyst looking to enhance your capabilities, a SOC manager exploring automation opportunities, or a cybersecurity professional preparing for the AI-driven future of the field, this course provides the knowledge and practical insights you need to harness the power of AI agents responsibly and effectively. 

1. The DevOps approach is supported by Agile Scrum and lean practices amongst others, whereby an adaptive, incremental approach is used to deliver continuous business value, expediently.
2. Besides the “Technical” side of DevOps, it is meant to bridge the GAP between Development and Operations Teams and establish efficiencies and remove bottlenecks and obstacles between the two groups, whether cultural or technical.
3. DevOps is not about culture change, only! It is a business transformation as well.

This professional course introduces healthcare leaders and practitioners to the practical applications of artificial intelligence (AI) and digital transformation in clinical settings. Designed to move beyond the hype, it delivers a clear, actionable roadmap for how AI can improve both patient outcomes and operational efficiency in hospitals and clinics.

Through case studies, hands-on labs, and interactive discussions, learners will explore AI-powered clinical decision support, patient flow optimization, digital workflow integration, and the ethical and regulatory considerations that shape responsible AI adoption in healthcare. The course blends theory with applied learning, ensuring that participants not only understand the concepts but also leave with practical skills they can use immediately in their organizations. 

Learners will benefit from real-world examples such as Cleveland Clinic’s Hospital 360 platform and insights from MEDCAN’s digital transformation journey. The course also addresses clinician burnout, system inefficiencies, and compliance risks—making it uniquely relevant to the challenges healthcare professionals face today. 

By the end, participants will have the knowledge and confidence to evaluate, implement, and lead AI initiatives in their own clinical or administrative settings. 

The potential for Agile to drive innovation and efficiency is vast but scaling Agile successfully across multiple teams requires the right strategies, frameworks, and leadership. In today’s fast-paced digital landscape, scaling Agile teams is no longer optional it’s essential for product managers who want to deliver faster, collaborate better, and innovate continuously.  

Agile thrives in small teams, but scaling it introduces new challenges as misalignment, growing dependencies, and organizational complexity. 

In this course, You’ll learn how to apply proven frameworks like SAFe and LeSS, tackle real-world scaling challenges, and foster a culture of alignment and continuous improvement. Through a mix of practical exercises, tools like Miro and Jira, and in-depth case studies, you’ll gain actionable skills in: 

- Adaptive planning and prioritization 
- Cross-team estimation and collaboration 
- Dependency mapping and coordination 
- Agile metrics and release synchronization 

This course is tailored for professionals responsible for guiding Agile delivery at scale, including product managers, senior product owners, agile coaches, project managers, and team leads. Whether you're managing a single product across multiple teams or helping your organization embrace scaled Agile frameworks, this course provides practical insights and tools to elevate your leadership and execution capabilities in complex environments.

To get the most from this course, learners should have a foundational understanding of Agile methodologies and prior experience in product management or team leadership roles. Familiarity with tools like Jira or Miro is recommended, as they will be used throughout the course for hands-on exercises in planning, coordination, and performance tracking.

By the end of this course, learners will be able to apply frameworks like SAFe, LeSS, and Disciplined Agile to scale Agile practices effectively. They will master adaptive planning, cross-team estimation, and dependency management, while also learning to leverage Agile metrics and leadership strategies to drive continuous improvement and sustainable transformation across teams.