This course provides a deep dive into the technical "plumbing" of secure networks. It moves beyond high-level threats to focus on how data moves across a network and how to build a defensive architecture to protect that data. Students will gain a functional understanding of network protocols, packet lifecycle, and the implementation of Zero Trust principles using Next-Generation Firewalls (NGFW) and SASE (Secure Access Service Edge).
Networking Foundations: Mastery of the OSI and TCP/IP models, including a deep dive into physical, logical (IP), and virtual addressing (Subnetting).
Packet Lifecycle: Trace the path of a packet as it traverses the network and understand how encapsulation and decapsulation work at each layer.
Defense-in-Depth Technologies: Comparative analysis of packet filtering, stateful inspection, and application-aware firewalls.
The "Core Three" Technologies: Introduction to Palo Alto Networks’ signature capabilities: App-ID™, User-ID™, and Content-ID™.
Network Segmentation: How to design and configure Security Zones (Inside, Outside, DMZ) to enforce "Least Privilege" access.
Securing the Perimeter & Edge: Understanding the role of VPNs (IPSec/SSL), IPS/IDS, and the transition to cloud-delivered security via Prisma SASE.
Aspiring Network Engineers: Those looking to build a technical career in network infrastructure.
Security Admins: Professionals responsible for the day-to-day configuration of firewalls and security policies.
IT Generalists: Help desk or systems administrators who need to troubleshoot connectivity and security issues.
The Connected Globe: Evolution of network connectivity and the Internet of Things (IoT).
Addressing & Routing: Detailed look at IPv4/IPv6, subnetting, and how routers make forwarding decisions.
The OSI Model & Encapsulation: Understanding layers 1 through 7 and how data is packaged for transport.
Network Security Principles: Moving from legacy "Port/Protocol" security to Identity-based security.
Introduction to Strata (NGFW): The architecture of the Next-Generation Firewall and initial configuration steps.
Cryptography & PKI: The role of SSL/TLS certificates in securing network traffic and inspecting encrypted data.
Cloud & SASE Fundamentals: Introduction to Prisma Access and securing the mobile workforce.
This course is specifically designed to prepare students for the Network Security Professional level of the Palo Alto Networks certification framework. It provides the technical baseline required before moving into specialist courses like NGFW Engineer or SASE Engineer.
- -
This course introduces the fundamental principles of cybersecurity required to protect modern enterprise networks and critical infrastructure. Students will explore the evolving nature of cyber threats, the "Cyber-Attack Lifecycle," and the defensive strategies used to mitigate them. The curriculum balances theoretical knowledge of networking and security models with practical introductions to Palo Alto Networks’ Next-Generation Firewalls (NGFW) and cloud security platforms.
The Modern Threat Landscape: Identify attacker profiles, motivations, and common attack vectors, including malware, phishing, and Advanced Persistent Threats (APTs).
Networking Fundamentals: Master the basics of the OSI and TCP/IP models, IP addressing, routing, and the role of various network devices.
Zero Trust Architecture: Understand the shift from perimeter-based security to a "never trust, always verify" model.
Next-Generation Security: Learn the core functions of App-ID, User-ID, and Content-ID in identifying and controlling network traffic.
Cloud & Endpoint Security: Explore the security challenges of SaaS applications and the importance of securing remote workforces and mobile devices.
Security Operations (SecOps): Introduction to the role of automation (SOAR), monitoring (SIEM), and incident response in a modern Security Operations Center.
Students and individuals looking to start a career in cybersecurity.
IT professionals transitioning into security-focused roles.
Non-technical business leaders who need a foundational understanding of cyber risk and defense.
Cyber Landscape: Modern computing trends and the impact of digital transformation.
Cyber-Threats: Deep dive into the Cyber-Attack Lifecycle and modern exploit techniques.
Cybersecurity Models: Comparing Perimeter Defense vs. Zero Trust.
Network Security Technologies: Firewalls, VPNs, and Intrusion Prevention Systems (IPS).
Cloud Security Fundamentals: Securing public, private, and hybrid cloud environments.
Endpoint & SASE: Protecting the network edge and remote users.
This course serves as the primary preparation for the Palo Alto Networks Certified Cybersecurity Entry-level Technician (PCCET) certification, which validates foundational knowledge across the entire Palo Alto Networks portfolio.
- -
This course provides a comprehensive introduction to the modern Security Operations Center (SOC). It focuses on the people, processes, and technologies required to maintain a proactive defense. Students will learn how to move beyond manual alert monitoring to an automated, intelligence-driven approach using Palo Alto Networks’ Cortex platform. The curriculum emphasizes the "Continuous Improvement" loop—collecting high-fidelity data to identify and stop threats before they cause damage.
The Modern SOC Framework: Understand the roles and responsibilities within a SOC, from Tier 1 Analysts to Threat Hunters and SOC Managers.
The Incident Response Lifecycle: Master the NIST-aligned phases of IR: Preparation, Detection & Analysis, Containment, Eradication, and Recovery.
Cortex XDR (Extended Detection & Response): Learn how "log stitching" and causality chains allow analysts to see the full story of an attack across network, endpoint, and cloud data.
SOAR & Automation: Introduction to Cortex XSOAR—how to use automated "playbooks" to handle repetitive tasks (like phishing enrichment) so analysts can focus on complex threats.
Precision AI & Machine Learning: Explore how AI is used to identify behavioral anomalies and "low-and-slow" attacks that traditional signature-based tools miss.
Threat Intelligence: Learn how to use Unit 42 intelligence and AutoFocus to gain context on who is attacking you and what their motives are.
Aspiring SOC Analysts: Individuals looking to land their first job in a security operations center.
Incident Responders: Professionals who want to learn how to use automation to speed up threat containment.
IT Managers: Leaders who need to understand how to structure a modern, AI-enabled security team.
SecOps Landscape: Evolution of the SOC and the move from "Legacy SIEM" to "Autonomous SOC."
SOC Infrastructure: Tools of the trade—SIEM, EDR, XDR, and SOAR explained.
Introduction to Cortex XDR: Deploying agents and visualizing the "Causality Card" during an investigation.
Automation with XSOAR: How playbooks work and the role of the "War Room" in collaborative incident response.
Threat Hunting & Analytics: Proactively searching for hidden indicators of compromise (IOCs) within the network.
Data Lake & XSIAM: How to centralize massive amounts of data for AI-driven analysis and long-term compliance.
This course is the final recommended module for the PCCET (Certified Cybersecurity Entry-level Technician) and is the direct prerequisite for the Security Operations Generalist and Cortex XDR/XSOAR Professional certifications.
- -
The Palo Alto Networks Cloud Security Fundamentals course shifts the focus from traditional hardware-based security to the virtualized, elastic world of cloud computing. It’s designed to explain how security must change when the "perimeter" is no longer a physical office but a collection of distributed services.
For 2026, this course is heavily centered on the Prisma ecosystem and the Shared Responsibility Model.
This course introduces the essential concepts of cloud computing and the unique security challenges presented by public, private, and hybrid cloud environments. Students will learn how to secure "the cloud itself" (infrastructure) as well as "what is in the cloud" (data and applications). The curriculum focuses on the convergence of networking and security through SASE (Secure Access Service Edge) and the automation of security in the CI/CD pipeline.
Cloud Computing Models: A deep dive into NIST service models (SaaS, PaaS, IaaS) and deployment models (Public, Private, Hybrid, Multi-cloud).
The Shared Responsibility Model: Understanding exactly what the Cloud Service Provider (e.g., AWS, Azure, GCP) is responsible for versus what the customer must secure.
Cloud Native Security: Introduction to Containers (Docker), Orchestration (Kubernetes), and Serverless computing, along with the specific risks associated with each.
The Prisma Suite: * Prisma Cloud: Learn about Cloud Native Security Platforms (CNSP) and how to maintain visibility, compliance, and governance.
Prisma Access: Understanding how SASE provides consistent security for remote users without backhauling traffic to a data center.
Virtualization Security: Exploring the role of hypervisors, virtual switches, and East-West traffic protection (traffic between servers within the cloud).
DevSecOps & Automation: How to "shift left" by integrating security earlier in the software development lifecycle.
Cloud Architects & Admins: Professionals responsible for migrating or managing assets in cloud environments.
DevOps Engineers: Individuals looking to integrate automated security checks into their deployment pipelines.
Cybersecurity Beginners: Those wanting to understand how modern "borderless" networks are defended.
Cloud Foundations: History of cloud computing, virtualization basics, and the evolution of the data center.
Cloud Security Challenges: Addressing the "visibility gap," misconfigurations, and the risks of shadow IT.
Securing Public Clouds: Implementation of security controls within AWS, Microsoft Azure, and Google Cloud Platform.
SASE & Prisma Access: Transitioning from legacy VPNs to a cloud-delivered security architecture.
Containers and Kubernetes: Practical introduction to Docker basics and securing containerized applications.
SaaS Security: Using Prisma SaaS (CASB) to protect data within applications like Office 365, Salesforce, and Slack.
This course is a core pillar for the PCCET (Certified Cybersecurity Entry-level Technician) and serves as the mandatory bridge for anyone pursuing the Prisma Cloud Professional or SASE Professional certifications.
Pro Tip: If you're building a training program, this is best taken after "Network Security Fundamentals," as cloud security heavily relies on understanding the networking concepts (like IP addressing and routing) covered in that course.
- -
From personalized shopping recommendations to advanced medical imaging, artificial intelligence (AI) is driving innovation across industries and transforming the way you live, learn, and work. AI Fundamentals: Foundations for Understanding AI is your introduction to the core concepts and technologies of AI.
In five engaging modules, you’ll explore what AI is, how machines and humans learn differently, and how machine learning, neural networks, and deep learning drive today’s AI applications. You’ll discover real-world examples of AI in action, practice applying models to solve problems, and reflect on the ethical considerations of using AI responsibly. Whether you’re a student, professional, or lifelong learner, this course equips you with the knowledge and skills to understand, explain, and apply AI in meaningful ways.
Complete the following required modules to earn an industry-recognized IBM SkillsBuild digital credential called AI Fundamentals:Foundations for Understanding AI:
Introduction to Artificial Intelligence
The Intelligence Behind AI
Machine Learning
Neural Networks and Deep Learning
AI Forms and Functions
What you’ll learn
After completing AI Fundamentals: Foundations for Understanding AI, you should be able to:
Describe the foundations of artificial intelligence, including its forms, eras of data processing, and data types
Differentiate human and machine intelligence by recognizing learning processes, machine capabilities, and applications of AI
Apply machine learning principles by using classical models, identifying learning types, and considering their impact on AI accuracy and outputs
Explain how neural networks and deep learning function, including their learning processes, limitations, and issues of fairness and bias
Identify different forms of AI, including predictive, decision-making, computer vision, and generative AI, and their appropriate applications
Audience: This intermediate-level course is for anyone curious about the AI technologies shaping today’s digital world.
The knowledge and skills in these modules build on each other, so IBM SkillsBuild recommends that you complete the modules in the order in which they are presented.
Languages: English, Brazilian Portuguese
Sign in to IBM SkillsBuild to take this free, on-demand, virtual course.
What does it take to solve problems in a way that works for teams in large companies? Having great ideas isn’t enough. Successful design thinking teams operate as an ecosystem of different people with unique skills and responsibilities, working together to deliver human-centered experiences.
Enterprise Design Thinking is IBM’s approach to applying design thinking at the speed and scale a modern enterprise demands. It helps teams not only form intent, but deliver outcomes; outcomes that advance the state of the art and improve the lives of the people they serve.
Whether you’re just starting out on your design thinking journey or searching for resources to expand your expertise, Enterprise Design Thinking Practitioner is the perfect place to start.
Complete this course to earn an industry-recognized IBM SkillsBuild digital credential called Enterprise Design Thinking Practitioner.
Practitioners know the value of putting users first.
As a Practitioner, you:
Know who your team’s primary user group is
Share Enterprise Design Thinking with others
Find opportunities to apply design thinking activities in your everyday work to drive better outcomes
Audience: This course is ideal for is ideal for working professionals, students, IBM employees, and anyone seeking to develop user-focused problem-solving skills through outcome-driven collaboration and team empowerment.
Language: English, Arabic, Hindi, Brazilian Portuguese, Indonesian, Turkish
Sign in to IBM SkillsBuild to take this free, on-demand, virtual course.
Are you interested in learning about generative artificial intelligence? In Foundations in Generative AI, you’ll be introduced to foundational concepts of generative AI, focusing on how machines create content such as text and images. You’ll gain a basic understanding of generative AI through examples and clear explanations. In Ethical Considerations for Generative AI, you’ll explore the ethics of generative AI, including transparency, accountability, and fairness. You explore risks in inputs and outputs of generative AI. You’ll learn about the IBM AI Risk Atlas as a resource for understanding potential impacts. A Large Language Model (LLM) is a type of AI model designed to understand and generate human-like language. LLMs are a foundational technology behind many generative AI applications. In Introduction to Large Language Models, you’ll explore how to apply large language models in practical scenarios such as customer service and content creation, with a focus on guiding IBM Granite models effectively.
Complete the following modules to earn an industry-recognized IBM SkillsBuild digital credential called Getting Started with Generative AI:
1. Foundations in Generative AI
2. Ethical Considerations for Generative AI
3. Introduction to Large Language Models
What you’ll learn
After completing these modules, you should be able to:
Apply prompt refinement techniques to improve the quality of AI-generated responses
Explore the IBM AI risk atlas
Craft a product blog post with IBM Granite
Language: English
Sign in to IBM SkillsBuild to take this free, on-demand, virtual course.
The CompTIA Network+ certification is the essential, vendor-neutral credential that validates the technical skills needed to securely establish, maintain, and troubleshoot the fundamental networks that organizations rely on.This course provides practical, hands-on training to cover the configuration, management, and identification of key networking devices and protocols. It is a critical certification for advancing careers in infrastructure, security, and cloud technologies.
This program covers both wired and wireless networking technologies, preparing students for real-world network administration and support roles. Key areas of focus include:
Networking Fundamentals: Understanding common network concepts, purposes, and device functions (routers, switches, firewalls).This includes knowledge of the OSI Model and TCP/IP stack.
Network Implementations: Configuring and verifying network connectivity, including IPv4 and IPv6 addressing, subnetting, and proper implementation of cabling standards and topology types.
Network Operations: Monitoring network performance, analyzing network traffic, performing efficient troubleshooting methods, and understanding essential disaster recovery and business continuity concepts.
Network Security: Implementing basic network security, understanding common threats and mitigation techniques, configuring firewalls, and securing wireless networks using protocols like WPA2 and WPA3.
Network Infrastructure: Understanding and managing various network services like DNS, DHCP, and NAT. This includes virtualized networking components and cloud connectivity concepts.
This program is ideal for:
IT Professionals who have completed the CompTIA A+ or have equivalent basic IT experience.
Aspiring Network Administrators, Network Technicians, and Help Desk Specialists.
Veterans and Military Spouses seeking high-demand infrastructure roles that serve as a strong entry point into both cybersecurity and cloud fields.
Career Impact
Earning the CompTIA Network+ certification validates your ability to manage and troubleshoot crucial network infrastructure. It is highly valued across all industries and serves as a prerequisite for many advanced certifications. This certification directly opens doors to roles such as: Network Field Technician, Junior Network Analyst, Data Center Technician, and Network Support Specialist.
- -
Description:
This virtual, instructor-led course provides a comprehensive introduction to project management using the latest best practices from PMI’s PMBOK® Guide. Students will learn the full project life cycle, from initiation to closing, along with key concepts like scheduling, budgeting, stakeholder communication, risk management, and procurement. The course includes hands-on activities, project templates, and soft skills training to simulate real-world project scenarios.
Career Pathways:
Project Coordinator
Junior Project Manager
Business Analyst
IT Operations Assistant
Ideal For:
Aspiring project managers, team leads, IT professionals transitioning to project roles, and individuals looking to strengthen leadership and organizational skills.
- -
No results match your search. Try removing a few filters.