- Teacher: Admin User
moodle.stg.blocksure.com.au
Available courses

This course enhances the ability to work effectively with open-source models by building technical proficiency, fostering innovation, and encouraging best practices in adapting and applying AI solutions to diverse professional needs.
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This course introduces the fundamentals of generative AI and large language models (LLMs), exploring their capabilities, applications, and limitations, with a focus on ethical use, practical implementation, and emerging trends in AI-driven technologies.
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This course introduces the fundamentals of prompt engineering and its application in optimising interactions with large language models, enabling participants to generate accurate outputs, refine responses, and enhance the effectiveness of AI-assisted tasks.
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This course builds understanding of the generative AI application lifecycle, exploring each stage from design and development to deployment and maintenance, enabling effective management, optimisation, and innovation in AI solutions.
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This course introduces principles for securing generative AI applications, focusing on risk assessment, data protection, threat mitigation, and compliance to ensure safe and trustworthy AI-driven solutions.
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This course develops critical analytical thinking and structured problem-solving skills, enabling participants to assess complex situations, identify root causes, and implement effective solutions in professional settings.
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This course introduces the fundamentals of small language models, enabling participants to understand their design, capabilities, and applications, and to leverage their efficiency for targeted and resource-conscious AI solutions.
- Teacher: Admin User

This course introduces the fundamentals of generative AI and large language models (LLMs), exploring their capabilities, applications, and limitations, with a focus on ethical use, practical implementation, and emerging trends in AI-driven technologies.
- Teacher: Admin User

This course focuses on integrating external applications with function calling, covering connection methods, data exchange, automation, and workflow optimisation to enhance system capabilities and operational efficiency.
- Teacher: Admin User

This course develops practical skills in fine-tuning large language models (LLMs), helping participants enhance model performance, tailor outputs to specific needs, and optimise AI effectiveness in diverse professional settings.
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This course explores and compares different large language models (LLMs), focusing on their architectures, capabilities, and performance, with an emphasis on practical applications, ethical considerations, and emerging developments in AI technology.
- Teacher: Admin User

This course covers fundamental principles of designing user experiences (UX) for AI applications, focusing on usability, accessibility, intuitive interaction, and ethical considerations to ensure effective and user-centred AI solutions.
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This course explores the principles of data governance and ethical AI use in health and laboratory environments, focusing on privacy, compliance, accountability, and responsible data-driven decision-making.
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This course focuses on building applications with Mistral models, enabling participants to harness their capabilities, optimise performance, and apply them effectively across diverse and innovative AI-driven projects.
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This course equips participants with the skills to build applications using the Meta family of models, focusing on integration, optimisation, and practical deployment to deliver effective and innovative AI solutions.
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This course equips participants with essential skills in building low-code AI applications, focusing on streamlined development, integration of AI capabilities, and efficient deployment to support operational and strategic goals.
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This course develops the essential skills needed to build image generation applications, covering AI model integration, prompt design, output optimisation, and ethical considerations in creative and professional environments.
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This course equips participants with practical skills in building chat applications, enabling effective, accurate, and engaging AI-driven conversations for enhanced user interaction and support.
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This course introduces core principles for building a search application, focusing on optimising information retrieval, enhancing accuracy and relevance, and ensuring efficient, secure, and user-friendly search experiences.
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This course explores key concepts and applications of AI agents, equipping participants with the skills to design, deploy, and manage autonomous systems that perform tasks, make decisions, and interact effectively in professional environments.
- Teacher: Admin User
