Graduate Certificate in Cloud Based AI Development

Name: Graduate Certificate in Cloud Based AI Development
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The Graduate Certificate in Cloud Based AI Development is a comprehensive course designed to meet the growing industry demand for AI and cloud technology specialists. This program focuses on equipping learners with essential skills in cloud-based AI development, machine learning, and data analytics.

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AboutThisCourse

With the rapid growth of cloud computing and AI applications, there's an increasing need for professionals who can develop, deploy, and manage AI solutions in cloud environments. By pursuing this certificate course, learners can advance their careers in various industries, including tech, healthcare, finance, and manufacturing. The course curriculum covers key topics such as cloud infrastructure, AI algorithms, machine learning models, data security, and ethical considerations in AI development. Upon completion, learners will have the skills to design, implement, and maintain AI solutions using cloud platforms such as AWS, Microsoft Azure, and Google Cloud. In summary, the Graduate Certificate in Cloud Based AI Development is a valuable investment for professionals seeking to upskill and stay competitive in the rapidly evolving AI and cloud technology landscape.

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CourseDetails

• Cloud Fundamentals: Understanding cloud computing, major cloud service providers, and cloud deployment models.

• Artificial Intelligence (AI) Fundamentals: Overview of AI, machine learning, and deep learning concepts.

• Cloud-based AI Development Tools: Hands-on experience with popular cloud-based AI development platforms, such as Google Cloud AI Platform, AWS SageMaker, and Azure Machine Learning.

• Designing Cloud-based AI Systems: Best practices for designing, building, and deploying AI systems in cloud environments.

• Data Engineering for AI: Data pre-processing, data warehousing, and data management for AI applications in the cloud.

• Machine Learning Algorithms in the Cloud: Implementing and optimizing popular machine learning algorithms, such as linear regression, logistic regression, decision trees, and neural networks, in cloud environments.

• Deep Learning in the Cloud: Hands-on experience with deep learning frameworks, such as TensorFlow and PyTorch, in cloud environments.

• Cloud-based AI Deployment and Maintenance: Techniques and best practices for deploying, monitoring, and maintaining cloud-based AI systems in production environments.

• Ethics and Security in Cloud-based AI Development: Exploring ethical considerations and security best practices in cloud-based AI development, deployment, and maintenance.

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EntryRequirements

BasicUnderstandingSubject
ProficiencyEnglish
ComputerInternetAccess
BasicComputerSkills
DedicationCompleteCourse

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FastTrack GBP £140

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AcceleratedLearningPath

ThreeFourHoursPerWeek
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StandardMode GBP £90

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FlexibleLearningPace

TwoThreeHoursPerWeek
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GRADUATE CERTIFICATE IN CLOUD BASED AI DEVELOPMENT

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London School of International Business (LSIB)

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05 May 2025

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