In this course, you will learn how to use FortiSIEM to search, enrich, and analyze events from customers in a managed security service provider (MSSP) organization. You will learn how to perform real-time and historical searches, and build advanced queries. You will also learn how to perform analysis and remediation of security incidents using traditional and machine learning (ML)assisted methods.
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In this course, you will learn how to secure your operational technology (OT) infrastructure using Fortinet solutions. You will learn how to design, deploy, administer, and monitor FortiGate, FortiNAC, FortiAnalyzer, and FortiSIEM devices to secure OT infrastructures. These skills will provide you with a solid understanding of how to design, implement, and operate an OT security solution based on Fortinet products.
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In this course, you’ll learn about implementing production-ready multi-agent systems using Amazon Bedrock AgentCore, covering multi-agent patterns, context optimization techniques, security configurations, and monitoring frameworks.
You will examine the skills needed to move beyond proof-of-concept to scalable, secure, and observable agentic AI implementations.
The course prepares you to design and deploy advanced agentic systems ready for real-world production environment.
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In this course, you’ll learn how to advance your proof-of-concept agents to production-ready agentic AI solutions on AWS. You will use Amazon Bedrock AgentCore services for tool orchestration, identity management, and production monitoring to implement secure, scalable enterprise AI systems ready for deployment.
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CompTIA SecAI+ enables a safer digital future by empowering IT and cybersecurity talent worldwide to meet the emerging challenges and opportunities at the intersection of AI and security.
This cybersecurity credential from CompTIA is the global IT industry’s first comprehensive “expansion” certification focused on the security of artificial intelligence systems and the secure application of AI in cybersecurity operations.
This certification equips professionals with critical, vendor-neutral skills to understand, defend, and ethically deploy AI technologies within any organization.
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The Business Intelligence on Oracle Analytics Cloud (2025) LVC course equips students with essential skills to utilize Oracle Analytics Cloud, focusing on data analysis, dashboard creation, and effective data visualization techniques to drive business insights.
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The student begins by gaining a deeper understanding of possibly the most important job of a DBA – backup and recovery. The concepts and architecture that support backup and recovery, along with implementation in various ways and situations are covered in detail. Students gain knowledge of the Recovery Manager (RMAN) command-line interface for various backup, failure, restore, and recovery scenarios, including data duplication.
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As organisations increasingly migrate to cloud environments, securing cloud infrastructure has become a top priority. Oracle Cloud Infrastructure (OCI) offers robust security measures, and professionals skilled in OCI security are in high demand. This course equips delegates with the expertise to implement, manage, and enhance security within OCI, ensuring compliance, mitigating threats, and strengthening overall cloud security strategies.
This course is ideal for security professionals, cloud architects, and IT administrators looking to deepen their understanding of OCI security. By mastering security best practices, access controls, and compliance frameworks, delegates can enhance their career prospects in cloud security. Gaining OCI security expertise will help them stand out in a competitive job market and open doors to advanced roles in cloud security and architecture.
This 4-day course provided by The Knowledge Academy offers a structured approach to mastering OCI security. It provides practical insights into securing cloud environments, managing identities, and implementing best practices. Delegates will learn how to mitigate security risks, handle incidents, and align with industry regulations. Completing this course will validate their ability to secure OCI resources, boosting their credibility and career opportunities in cloud security.
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Tune your databases with targeted queries and tuning methodology so you can identify problems before they arise.
Learn how to use advisors inside of an oracle database, as well as various tools provided by Oracle, in order configure the right settings for optimal performance. Gain skills in this Oracle database course to:
- use targeted query tuning and methodology to identify tuning problems in an Oracle database to take corrective action
- how to identify and tune a common database
- troubleshoot performance issues
- use advisors inside the database in order to understand in advance what settings need to be made and how to use the various tools provided by Oracle to configure the database
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The Oracle AI Database: High Availability New Features equips students with essential knowledge on the latest high availability features, enhancing their capabilities to effectively manage and optimize Oracle databases in demanding environments.
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The Oracle Cloud Infrastructure (OCI) AI Foundations course aims to introduce beginners to AI and ML, with a specific focus on their practical applications within Oracle Cloud Infrastructure. You will gain a comprehensive overview of the AI landscape, the fundamentals of deep learning, and the role of generative AI and large language models (LLMs) in modern computing. Learn about OCI Generative AI Services, Oracle 23ai Vector Database, and other OCI AI Services, such as vision, speech, language, and document understanding, using a structured approach that is both effective and engaging.
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Use the Multitenant feature of Oracle AI Database for it to function as a container database (CDB), thereby improving resource utilization, management, and overall security. Learn the benefits, configuration, and management of container and pluggable databases, including backup, security, and data migration using Oracle AI Database. With hands-on practices, you’ll be able to reinforce the learning of the new Oracle Multitenant feature and its capabilities.
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This course covers the latest additions and improvements in Oracle AI Database. It equips Oracle Database Administrators with knowledge about enhanced tools for better management, focusing on performance, architecture, security, and database sharding. The topics include updates to AI Vector Search, True Cache, Sharding, Blockchain Tables, Data Migration with RMAN, Wide Tables, and Lock-Free Reservations.
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This course explores developer-centric features in the Oracle AI Database release, starting with the AI Vector Search feature. It covers new capabilities in SQL for developers, offering flexibility in writing SELECT, DML, DDL, and Materialized View statements. The course also covers improvements in Oracle’s analytic capabilities, upgrades to JSON functionality, and introduces new Globalization features.
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This course is targeted at Developers and Database Administrators and begins with the concepts of a relational database and the SQL programming language. It includes writing queries against single and multiple tables, manipulate data in tables, and create database objects.
You’ll also learn how to create sequences, synonyms, indexes, and views, manage schema objects, and manage data using subqueries. Additionally, the course covers controlling User Access and managing data in different time zones.
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This course is targeted at Database Administrators and begins with explaining the architecture of an Oracle Database instance and the tools used to access it. The course includes creating and managing a database, configuring and managing Oracle Net Services along with creating and administering pluggable databases (PDBs). You learn how to create and manage database storage, users, backup, and implement database security.
Additionally, the course covers protection of database against failures, loading, and transporting data.
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This course equips teams with the skills to design, build, evaluate, deploy, and automate AI solutions that are reliable and safe, technically robust, aligned with business objectives, and ready for real-world production environments—not just experimental notebooks.
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This course is to equip senior leaders with the strategic, governance, and organisational capabilities required to design, adopt, and scale AI responsibly and competitively across the enterprise—while managing risk, cost, and long-term value.
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To enable non-technical teams to embed AI directly into daily business workflows, improving productivity, quality, and consistency, while establishing measurable ROI and a foundation for automation and scaling.
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This course is designed to equip employees with a clear and practical understanding of Artificial Intelligence. Participants will learn what AI is—and what it is not—how to use Generative AI safely, responsibly, and effectively, and how to minimise organisational risks associated with AI misuse. The course also focuses on applying AI tools in daily work to drive measurable productivity gains and time savings.
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The global best practice framework for digital product and service management.
Build a strong foundation in digital product and service management. Learn the core concepts and practices needed to deliver value across the full lifecycle in today’s complex, AI-enabled environments.
- ITIL is the most widely adopted framework for managing technology-based services and creating value for stakeholders.
- ITIL has evolved beyond IT service management into a best-practice framework for digital product and service management.
Delve into the core ITIL principles and practices. Future-proof your career with in-demand skills and reach attractive roles spanning product, service, experience, strategy and transformation.
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Marketing is evolving rapidly as customer behaviour, digital channels, and data volumes increase. Artificial Intelligence (AI) is transforming how marketing teams understand customers, create content, optimise campaigns, and measure performance. When used effectively, AI enables marketers to work faster, personalise at scale, and make data-informed decisions—without losing creativity or brand authenticity.
Advances in Generative AI and Large Language Models (LLMs) allow marketers to generate content ideas, draft copy, analyse customer feedback, optimise messaging, and support campaign planning. At the same time, AI adoption raises important questions about originality, ethics, bias, and brand trust.
This course provides a practical, marketing-focused introduction to AI. Participants will learn AI fundamentals, explore how different AI tools support marketing workflows, and gain hands-on experience applying AI to real marketing tasks. The emphasis is on strategic value, creativity, responsible use, and immediate application, without requiring technical or programming skills.
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Cyber threats are increasing in scale, sophistication, and speed. Traditional security approaches—based solely on static rules and manual analysis—are no longer sufficient to detect and respond to modern cyberattacks. Artificial Intelligence (AI) is now a critical capability in strengthening cybersecurity posture, enabling faster threat detection, improved incident response, and enhanced security decision-making.
Advances in Machine Learning, Large Language Models (LLMs), and Generative AI are transforming cybersecurity across areas such as threat intelligence analysis, log investigation, vulnerability assessment, security reporting, and awareness training. At the same time, AI introduces new risks, including adversarial AI, hallucinated outputs, and over-reliance on automated decisions.
This course provides a practical, security-focused introduction to AI for Cybersecurity. Participants will learn AI fundamentals, explore how AI tools support cybersecurity workflows, and gain hands-on experience using GenAI tools to assist with threat analysis, incident response documentation, risk reporting, and security operations—without requiring programming skills.
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Human Resources and Administration functions are evolving rapidly as organisations face increasing complexity in workforce management, compliance, documentation, and employee experience. Artificial Intelligence (AI) is emerging as a powerful enabler to help HR and administrative teams work more efficiently, consistently, and strategically—while preserving human judgment, empathy, and confidentiality.
Advances in Generative AI and Large Language Models (LLMs) allow HR professionals to streamline recruitment documentation, improve internal communication, support policy development, enhance employee engagement, and reduce repetitive administrative workload. However, AI adoption in HR requires careful consideration of ethics, bias, data privacy, and organisational governance.
This course provides a practical, HR- and administration-focused introduction to AI. Participants will learn AI fundamentals, explore how different AI tools support HR and admin workflows, and gain hands-on experience applying AI to real workplace scenarios. The emphasis is on practical productivity gains, responsible usage, and immediate applicability, without requiring technical or programming skills.
