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Hunt for threats using notebooks in Microsoft Sentinel

Units in this learning path:

• Introduction
• Access Azure Sentinel Data with External Tools
• Hunt
• Create Notebook
• Explore Notebook Code
• Knowledge Check
• Summary Resources

Products: Azure, Microsoft Sentinel

Roles: Security Operations Analyst

Level: Intermediate

Subjects: Threat Protection

Duration: 31 minutes

In this module, you'll learn how Azure Local enables organizations to run virtual machines, containers, and cloud services on-premises while integrating with Azure for centralized management and security. You'll explore technical features such as hybrid cloud connectivity, resource organization, automated updates, container orchestration with AKS, and multi-layered security protections.

Units in this learning path:

• Introduction
• What Is Azure Local
• Azure Kubernetes Service
• Security Protection
• Knowledge Check
• Summary

Products: Azure Local

Roles: Business Owner, Business User, Administrator, Technology Manager

Level: Intermediate

Duration: 18 minutes

Learn about hyperautomation with insights from process mining.

Units in this learning path:

• Introduction
• Use Copilot
• Implement Improvements
• Implement Process Improvements
• Build Custom
• Visualize Hyperautomation
• Check
• Summary

Products: Power Apps, Power Automate, Power Bi

Roles: Functional Consultant, Developer

Level: Beginner

Subjects: Data Management

Duration: 30 minutes

In this module, you'll learn how Azure Local functions, how it integrates with hybrid environments, and how deployment and management work using standard tools.

Units in this learning path:

• Introduction
• Azure Local
• Hybrid Capabilities
• Security Features
• System Management
• Use Case
• Knowledge Check
• Summary

Products: Azure

Roles: Business Owner, Business User, Administrator, Technology Manager

Level: Intermediate

Duration: 15 minutes

This credential earner is an educator who has participated in a series of online institutes to become fluent and knowledgeable in artificial intelligence (AI). The individual has an understanding of AI applications such as machine learning and natural language processing, along with how it is used to solve problems, collect data and identify bias. The earner is equipped to share the foundational knowledge of artificial intelligence with their colleagues and students in their classrooms.

Through validated Artificial Intelligence (AI) instructor-led training, this credential earner has acquired the skills and understanding of AI concepts and technologies. The earner has demonstrated proficiency and understanding of Artificial Intelligence technical topics and design thinking. They have gained the ability to apply the concepts and technology of Artificial Intelligence with applicable open source tools that are relevant to real world AI scenarios, suitable for educational purposes.

This certificate earner has advanced technical skills in AI concepts, such as Machine Learning Methods & Tools, Data Analytics for ML, NLP, Deep Learning and GenAI, and AI applications. Through completion of a comprehensive curriculum, application-based assessments, and authentic experiential learning on how to run an AI model using IBM Watson Studio, the earner is aware of the job outlook in fields that use AI and is familiar with the skills required for success in various roles in the domain.

Through an IBM instructor-led workshop, this credential earner gained skills on Artificial Intelligence (AI) concepts, technology & use cases. The earner has demonstrated proficiency on these topics: Artificial Intelligence Foundations, Machine Learning, AI Language & Vision, Design Thinking for AI, & AI Industry Use Cases. The earner demonstrates capacity to deliver the Artificial Intelligence course applying pedagogical skills to drive group work using challenged-based scenarios.

Through an IBM instructor-led workshop, this credential earner gained skills on Artificial Intelligence concepts, technology & use cases. The earner has demonstrated readiness to teach AI Fundamentals, Machine Learning Methods & Tools, Data Analytics for Machine Learning, NLP, Deep Learning and GenAI, & AI Industry Use Cases. The earner demonstrates the ability to deliver the AI course, applying pedagogical skills in the context of machine learning solutions for business applications.

This certificate earner has advanced technical skills in cybersecurity, such as security posture evaluation, vulnerability assessment, network architecture, cloud infrastructure security, security operations, and incident reporting. Through completion of a comprehensive curriculum, application-based assessments, and authentic experiential learning, the earner has developed workplace and career management skills and industry knowledge, and is prepared for a cybersecurity career across industries.

This certificate earner has advanced technical skills in data analytics: data analysis, data manipulation for usability, introductory statistics, the data analysis process, data set preparation, and data visualizations for storytelling. By completing a comprehensive curriculum, application-based assessments, and authentic experiential learning, the earner has developed workplace and career management skills and industry knowledge, and is prepared for a data analytics career across industries.

The IBM SkillsBuild Faculty badge is a credential awarded to faculty members who have successfully completed the IBM SkillsBuild learning path and demonstrated a commitment to empowering their students with digital skills. Faculty members who earn this badge are equipped to guide and support students in navigating IBM SkillsBuild courses, earning their digital credentials, and participating in skill-building activities such as projects, hackathons, and other experiential learning opportunities.