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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This one-day, role-specific course introduces business users to the Snowflake AI Data Cloud and its architecture. Participants learn how to connect to Snowflake, access the data they need, use that data, augment the data, and report data insights from Snowflake. The course consists of lectures, labs, demonstrations, and discussions.
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In this two-day course, participants will learn how to seamlessly integrate cutting-edge AI capabilities into their daily work, even if they’re not data scientists or Machine Learning engineers. They will extract insights at scale, interact with applications using natural language, drive coding productivity, and produce new content. Participants will also learn about empowering business users to make faster, data-driven decisions while enabling data teams and developers to build and deploy specialized, governed AI agents rapidly.
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This three-day, role-specific course is intended for participants interested in developing skills and experience using Snowflake AI Data Cloud for data science workloads. The participant will gain exposure to the rich features of Snowflake, diverse machine learning datasets, relevant and popular open source ML frameworks and libraries, and model deployment practices that will provide practical skills applicable to data science jobs. This course consists of lectures, demos, labs, and discussions.
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This three-day role-specific course covers key concepts, features, considerations, and Snowflake recommended best practices through the lens of the data engineering workflow. It is intended for participants who will be accessing, developing, and querying datasets for analytic tasks and building data pipelines in Snowflake. This course consists of core data engineering concepts delivered through lectures, demos, labs, and discussions.
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This four-day course covers the core concepts, design considerations, and Snowflake recommended best practices intended for critical stakeholders who will be working on the Snowflake AI Data Cloud. The course consists of lectures, demos, and labs covering a wide range of essential topics.
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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.
