MS-10231: Designing a Microsoft SharePoint 2010 and 2013 Infrastructure

Course Overview:

This course is intended for IT Professionals who use Microsoft SharePoint 2010 in a team-based, medium-sized to large environment. While they may have implemented a SharePoint deployment, they have limited experience in designing a SharePoint infrastructure. They likely work as a senior administrator who acts as a technical lead over a team of administrators. Members of this audience should have at least 6 months experience with SharePoint 2010 (including pre-released versions of the product).

Attendees to MS-10231: Designing a Microsoft SharePoint 2010/2013 Infrastructure will receive TechNow approved course materials and expert instruction.

Date/Location:

No Events

Duration: 5 days

Course Objectives:

Designing a Logical Architecture
Planning Service Application Architecture
Planning for Performance and Capacity
Designing a Physical Architecture
Designing a Security Plan
Planning Authentication
Planning Managed Metadata
Planning Social Computing
Designing Enterprise Search Strategy
Planning Enterprise Content Management
Developing a Plan for Governance
Designing a Maintenance and Monitoring Plan

Prerequisites:

At least 2 years experience administering, deploying, managing, monitoring, upgrading, migrating, and designing SharePoint servers
At least one year’s experience of mapping business requirements to logical and physical technical design
Working knowledge of network design, including network security

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TN-425: Certified Offensive AI Security Professional (C|OASP)

Certified Offensive AI Security Professional (COASP) validates the competencies required for practitioners who need to demonstrate offensive AI security skills, emulating adversaries, validating defenses, and leading red-team/blue-team exercises to keep AI resilient, reliable, and auditable

The Certified Offensive AI Security Professional (COASP) equips you to identify and neutralize AI-specific threats before attackers do. And Bridges security, engineering, and data science so controls exist across the full AI life cycle.

Participants will gain hands-on experience to perform end-to-end adversarial testing and deliver defensive validation evidence including the ability to simulate adversarial AI kill chains, Harden AI architectures by secure system prompts, context windows, tool integrations, RAG pipelines, and agent memory, Conducting AI security assessments aligned to MITRE ATLAS, OWASP LLM/ML Top 10, NIST AI RMF, and DoD Test & Evaluation practices , This course covers how to build SOC-ready capabilities for AI-focused detection logic, incident playbooks, and forensic procedures , & how to execute prompt injection, adversarial prompting , Assess AI supply-chain risk , Implement defensive engineering controls and Produce assurance and compliance artifacts.

By the end of the course, learners will be well-prepared to take the Certified Offensive AI Security Professional (COASP) exam and demonstrate the ability to exploit vulnerabilities in LLMs and agents, and build defense that survive real world attacks, learners will master offensive techniques that break AI before the attackers do.

Course Outline:

01. Offensive AI and AI System Hacking Methodology

02. AI Reconnaissance and Attack Surface Mapping

03. AI Vulnerability Scanning and Fuzzing

04. Prompt Injection and LLM Application Attacks

05. Adversarial Machine Learning and Model Privacy Attacks

06. Data and Training Pipeline Attacks

07. Agentic AI and Model-to-Model Attacks

08. AI Infrastructure and Supply Chain Attacks

09. AI Security Testing, Evaluation, and Hardening

10. AI Incident Response and Forensics

Prerequisites:

TN-412: Artificial Intelligence Essentials (AI|E)

Dates/Locations:

No Events