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.
